Template-Type: ReDIF-Article 1.0 Author-Name: M. Shunmugasundaram Author-X-Name-First: M. Author-X-Name-Last: Shunmugasundaram Author-Name: V. Anbumalar Author-X-Name-First: V. Author-X-Name-Last: Anbumalar Title: Cellular layout formation by using weighted similarity-based modified flow matrix with process sequence data Abstract: Cellular layout formation (CLF) is an important problem in the design of a cellular manufacturing system (CMS). From the previous studies, most of the researchers have used machine part incidence matrix (MPIM) as input in CMS. In this paper, weighted similarity based modified flow matrix is proposed to solve the cell formation problem (CFP) and CLF simultaneously. The objective of our proposed approach is to group dissimilar machines based on the process sequence of different parts. Two well-known benchmark problems are selected from the literature and results are compared based on modified grouping efficacy with the existing methods. The results clearly indicated that our proposed approach outperforms the previously proposed methods. Journal: Int. J. of Manufacturing Technology and Management Pages: 61-77 Issue: 1 Volume: 34 Year: 2020 Keywords: cell formation; cellular layout; cellular manufacturing system; CMS; machine part incidence matrix; MPIM; similarity coefficient; modified flow matrix; MGTE; instant forward movement; instant backward movement; process sequence. File-URL: http://www.inderscience.com/link.php?id=105817 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijmtma:v:34:y:2020:i:1:p:61-77 Template-Type: ReDIF-Article 1.0 Author-Name: Robin Von Haartman Author-X-Name-First: Robin Von Author-X-Name-Last: Haartman Author-Name: Weihong Wang Author-X-Name-First: Weihong Author-X-Name-Last: Wang Author-Name: Lars Bengtsson Author-X-Name-First: Lars Author-X-Name-Last: Bengtsson Author-Name: Camilla Niss Author-X-Name-First: Camilla Author-X-Name-Last: Niss Author-Name: Gunnar Herdin Author-X-Name-First: Gunnar Author-X-Name-Last: Herdin Title: One size does not even fit one: supply chain strategies in the decline phase Abstract: Given that aligning supply chain strategies with changing product characteristics across the phases of the product life cycle is increasingly important, this study investigates the changes in supply and demand uncertainty when a product enters the decline phase and how these changes in turn affect the supply chain strategies applied. Based on four case studies, the analysis reveals that the uncertainties increase in three of four cases when the product enters the decline phase, and that the type of uncertainty, as well as the related challenges, depends on the product's initial uncertainty of supply and demand. This implies that companies need to redesign their supply chain strategies towards either more lean or more agile supply chains, or combinations thereof, when the products are declining. Journal: Int. J. of Manufacturing Technology and Management Pages: 25-45 Issue: 1 Volume: 34 Year: 2020 Keywords: supply chain strategy; product life cycle; PLC; decline phase; lean; agile; demand uncertainty; supply uncertainty; product characteristics. File-URL: http://www.inderscience.com/link.php?id=105818 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijmtma:v:34:y:2020:i:1:p:25-45 Template-Type: ReDIF-Article 1.0 Author-Name: D. Srinivasan Author-X-Name-First: D. Author-X-Name-Last: Srinivasan Author-Name: R. Balasundaram Author-X-Name-First: R. Author-X-Name-Last: Balasundaram Author-Name: G. Rajkumar Author-X-Name-First: G. Author-X-Name-Last: Rajkumar Title: Investigation on turning parameters on machining time and vibration of carbon fibre reinforced laminates Abstract: This work proposes the investigation of machining time and vibration characteristics of machining differently oriented unidirectional carbon fibre reinforced polymer (CFRP). The carbon fibres are oriented at 0, 45, 90 degrees during stacking process of laminate. The turning experiments are carried out on a Siemens-CNC lathe to investigate best operating conditions. Nine experiments based on Taguchi's L<SUB align="right"><SMALL>9</SMALL></SUB> orthogonal array are performed. The machining parameters are spindle speed, feed and depth of cut and the output responses are machining time and amplitude of vibration. The prediction models are developed using ANOVA. To find the best value of the regression model, a real-time coded genetic algorithm (GA) using turbo C<SUP align="right"><SMALL>++</SMALL></SUP> and MATLAB tool box GA are used. The result indicated that predicted models are significant and the real-time coded GA produced best value. Journal: Int. J. of Manufacturing Technology and Management Pages: 78-96 Issue: 1 Volume: 34 Year: 2020 Keywords: turning; genetic algorithm; carbon fibre reinforced polymer; CFRP; orientation; hand-lay up process. File-URL: http://www.inderscience.com/link.php?id=105819 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijmtma:v:34:y:2020:i:1:p:78-96 Template-Type: ReDIF-Article 1.0 Author-Name: Brijpal Singh Author-X-Name-First: Brijpal Author-X-Name-Last: Singh Author-Name: Zahid A. Khan Author-X-Name-First: Zahid A. Author-X-Name-Last: Khan Author-Name: Arshad Noor Siddiquee Author-X-Name-First: Arshad Noor Author-X-Name-Last: Siddiquee Author-Name: Sachin Maheshwari Author-X-Name-First: Sachin Author-X-Name-Last: Maheshwari Title: Optimal design of flux for submerged arc weld properties based on RSM coupled with GRA and PCA Abstract: This paper presents an effective approach for the selection of flux for optimised mechanical properties of low carbon steel welds. The weld is mainly characterised by impact strength, ultimate tensile strength, percentage elongation and hardness. Since the mechanical performance is measured by multiple performance characteristics, the grey relational analysis is used to determine the optimal combination of flux for mechanical properties. Moreover, principal component analysis has been used to evaluate the weighting values for various performance characteristics so that their relative importance can be properly considered. Fluxes were designed using RSM and have been developed through agglomeration technique. By analysing the grey relational grade, it is found that both the impact strength and ultimate tensile strength have the same weightage. The results of confirmation test obtained using this approach show that the GRA coupled with PCA can be effectively used for optimisation of flux for mechanical performance characteristics. Journal: Int. J. of Manufacturing Technology and Management Pages: 97-109 Issue: 1 Volume: 34 Year: 2020 Keywords: submerged arc welding; GRA; response surface method; PCA; tensile strength; elongation. File-URL: http://www.inderscience.com/link.php?id=105820 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijmtma:v:34:y:2020:i:1:p:97-109 Template-Type: ReDIF-Article 1.0 Author-Name: Xiang Nan Zhang Author-X-Name-First: Xiang Nan Author-X-Name-Last: Zhang Author-Name: Chuan Jian Wang Author-X-Name-First: Chuan Jian Author-X-Name-Last: Wang Author-Name: Xiao Jun Yin Author-X-Name-First: Xiao Jun Author-X-Name-Last: Yin Author-Name: Chuan Ning Author-X-Name-First: Chuan Author-X-Name-Last: Ning Author-Name: Qing Zhan Zhao Author-X-Name-First: Qing Zhan Author-X-Name-Last: Zhao Author-Name: Rong Rong Li Author-X-Name-First: Rong Rong Author-X-Name-Last: Li Title: Active acquisition system of LBS-based logistics freight source information Abstract: In order to solve the bottleneck of logistics information exchange and meet the demand for getting freight source information in time, this paper proposes a solution of active acquisition system of logistics sources information based on LBS with Android mobile terminal. By using GPS/WIFI positioning technology to achieve the acquisition of the information of user's current location and through wireless network, the data are further sent to the spatialtemporal database of service terminal, where the spatial data and attribute data about logistics sources information are integrated and stored. Then these data are analysed and processed by use of the dynamic programming algorithm based on real-time logistics sources information. Finally the Baidu API is used to realise the visualisation of post-processing of logistics sources information so that the services in active acquisition of peripheral logistic information and optimal receiving route planning might be provided. Journal: Int. J. of Manufacturing Technology and Management Pages: 46-60 Issue: 1 Volume: 34 Year: 2020 Keywords: logistics freight source information; LBS; Android intelligent mobile terminal; optimal receiving route. File-URL: http://www.inderscience.com/link.php?id=105822 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijmtma:v:34:y:2020:i:1:p:46-60 Template-Type: ReDIF-Article 1.0 Author-Name: Muthu Vinod Kumar Author-X-Name-First: Muthu Vinod Author-X-Name-Last: Kumar Author-Name: Muthiah Muthukannan Author-X-Name-First: Muthiah Author-X-Name-Last: Muthukannan Title: Investigation of HFRC beams retrofitted using GFRP for enhancement in flexural capacity Abstract: The applications of FRP have been widely used in repair and upgrading of concrete structures. Research and design guidelines accomplished that externally bonded FRP could increase the load carrying capacity of RC elements efficiently. A study was undertaken to investigate the flexural behaviour of hybrid fibre reinforced concrete (HFRC) beams, which were preloaded and retrofitted by externally bonded with glass fibre reinforced polymer (GFRP) laminate to the bottom (soffit) of the beam. The compressive, split tensile and flexural strength tests were conducted to find the optimum percentage of hybrid fibre which can be used for casting of beam specimens. Two sets each containing three numbers of beams were cast and tested in this study. Based on the test results, it is found that the HFRC beams retrofitted with GFRP show an improvement in load carrying capacity of about 45% and 23% than the same set of retrofitted control beams. Journal: Int. J. of Manufacturing Technology and Management Pages: 1-24 Issue: 1 Volume: 34 Year: 2020 Keywords: hybrid fibre reinforced concrete; HFRC; glass fibre reinforced polymer; GFRP; laminate; steel; glass and polypropylene fibres; nonlinear finite element analysis; NLFEA; finite element analysis; FEA; ANSYS. File-URL: http://www.inderscience.com/link.php?id=105825 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijmtma:v:34:y:2020:i:1:p:1-24 Template-Type: ReDIF-Article 1.0 Author-Name: Avinash Gulabrao Kamble Author-X-Name-First: Avinash Gulabrao Author-X-Name-Last: Kamble Author-Name: Ravipudi Venkata Rao Author-X-Name-First: Ravipudi Venkata Author-X-Name-Last: Rao Title: Prediction of effects of process parameters and thermo-mechanical simulation of GMAW process for welding of AISI 430 steel Abstract: The present study is focused on welding of AISI 430 steel using AISI 309L wire rod using gas metal arc welding process. The welding voltage, welding speed, wire feed rate and gas flow rate are considered as input process parameters and their ranges are found out for good appearance of weld bead. The experiments are conducted using central composite design matrix and weld bead geometry parameters like bead height, bead width and bead penetration and mechanical properties like tensile strength and hardness are measured. The mathematical models for bead geometry parameters and mechanical properties are developed and the adequacy is checked using analysis of variance. The effects of process parameters on the bead geometry parameters, mechanical properties and microstructure are found out. The thermo-mechanical simulation is carried out using ANSYS simulation software to predict the temperature and stresses distribution in the weldment. Journal: Int. J. of Manufacturing Technology and Management Pages: 148-173 Issue: 2 Volume: 34 Year: 2020 Keywords: gas metal arc welding; GMAW; central composite design; mathematical modelling; thermo-mechanical simulation. File-URL: http://www.inderscience.com/link.php?id=106205 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijmtma:v:34:y:2020:i:2:p:148-173 Template-Type: ReDIF-Article 1.0 Author-Name: Alireza Goli Author-X-Name-First: Alireza Author-X-Name-Last: Goli Author-Name: Mahdi Alinaghian Author-X-Name-First: Mahdi Author-X-Name-Last: Alinaghian Title: A new mathematical model for production and delivery scheduling problem with common cycle in a supply chain with open-shop system Abstract: In order to coordinate the supply chain, reordering strategy of needed goods must be synchronised and sequence of production and replenishment cycle time must be optimised in terms of cost. Therefore, this paper studies the economic lot and delivery scheduling problem for multi-stage supply chain. The common cycle time and integer multiplier policies were adopted to accomplish the desired synchronisation. In this regard, a new mathematical model has been presented where a manufacturer with open-shop system purchases raw materials from suppliers and sends them to packaging companies after converting them into the final product and then they are sold. Since this is a non-deterministic polynomial-time hard (NP-hard) problem, simulated annealing algorithms have been developed for it. For this algorithm, two different scenarios have been proposed for solving the study problem and at the end the numerical results have been applied on problems with different dimensions by the algorithm. Journal: Int. J. of Manufacturing Technology and Management Pages: 174-187 Issue: 2 Volume: 34 Year: 2020 Keywords: economic lot size; production scheduling; open shop system; common cycle; simulated annealing algorithm. File-URL: http://www.inderscience.com/link.php?id=106206 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijmtma:v:34:y:2020:i:2:p:174-187 Template-Type: ReDIF-Article 1.0 Author-Name: Barnali Chaudhuri Author-X-Name-First: Barnali Author-X-Name-Last: Chaudhuri Author-Name: R.K. Jana Author-X-Name-First: R.K. Author-X-Name-Last: Jana Author-Name: Pranab K. Dan Author-X-Name-First: Pranab K. Author-X-Name-Last: Dan Title: A review on the multi-objective cell formation problem in cellular manufacturing systems Abstract: With the advent of cellular manufacturing systems and consequent evolution of configuring methodologies, researchers proposed several multi-objective techniques, besides others, to handle different types of cell formation problems. This paper presents a systematic review on types of cell formation by using multi-objective techniques. It also delineates the type of objectives, production factors and datasets used for testing the efficacy of methodologies, considered by researchers along with the scope and direction of future studies. Journal: Int. J. of Manufacturing Technology and Management Pages: 188-209 Issue: 2 Volume: 34 Year: 2020 Keywords: cellular manufacturing system; CMS; cell formation; multi-objective programming; weighted aggregate method; Pareto optimality; soft computing. File-URL: http://www.inderscience.com/link.php?id=106207 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijmtma:v:34:y:2020:i:2:p:188-209 Template-Type: ReDIF-Article 1.0 Author-Name: Xin Lu Author-X-Name-First: Xin Author-X-Name-Last: Lu Author-Name: Hong-yuan Shi Author-X-Name-First: Hong-yuan Author-X-Name-Last: Shi Author-Name: Li Wang Author-X-Name-First: Li Author-X-Name-Last: Wang Author-Name: Da-wei Li Author-X-Name-First: Da-wei Author-X-Name-Last: Li Title: Analytical travel time models for single and double command of multi-aisle automated storage and retrieval system Abstract: There is only one storage/retrieval machine in the multi-aisle automated storage and retrieval systems (AS/RS). In this system the initial investment cost is low. We concentrate on analysing the travel time of the storage/retrieval machines in the automatic warehouse. This paper mainly addresses two issues: the travel time of the storage/retrieval machine for only one command (storage or retrieval); the travel time of the storage/retrieval machine for dual command (storage and retrieval). We design the motion of the storage and retrieval machine (SRM) according to the actual situation. It first accelerates to its top speed then moves uniformly and decelerates till 0 at last. The travel time of the two issues are solved on the front. Finally, we use a numerical example to prove the validity of our model. The results of the analytical travel time model are satisfactory. And it could be very useful tools for designing of multi-aisle automated storage and retrieval systems in real-world applications. Journal: Int. J. of Manufacturing Technology and Management Pages: 111-125 Issue: 2 Volume: 34 Year: 2020 Keywords: travel time; warehouse; automated storage and retrieval system; AS/RS; logistics system; single command; double command; manufacturing technology and management. File-URL: http://www.inderscience.com/link.php?id=106208 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijmtma:v:34:y:2020:i:2:p:111-125 Template-Type: ReDIF-Article 1.0 Author-Name: Anderson Nascimento Author-X-Name-First: Anderson Author-X-Name-Last: Nascimento Author-Name: Eduardo Tavares Author-X-Name-First: Eduardo Author-X-Name-Last: Tavares Author-Name: Gabriel Alves Jr. Author-X-Name-First: Gabriel Alves Author-X-Name-Last: Jr. Author-Name: Erica Sousa Author-X-Name-First: Erica Author-X-Name-Last: Sousa Author-Name: Bruno Nogueira Author-X-Name-First: Bruno Author-X-Name-Last: Nogueira Title: Performability evaluation of transport modes for cloud-based inbound logistics: a study based on coffee industry Abstract: The adoption of cloud computing in supply chains has been growing over the years due to the benefits concerning on-demand resource provisioning and cost reduction. In the context of inbound logistics, cloud computing may also provide mechanisms for information sharing that allows better decisions, for instance, for selecting the best transport mode for a given set of goods and suppliers. However, cloud computing is still new to organisations in supply chain and evaluations should be carried out to assess the tangible gains in this paradigm. This paper presents an approach based on stochastic Petri nets (SPN) for performability assessment of transport modes in cloud-based inbound logistics taking into account sustainability issues and the coffee industry as case study. Journal: Int. J. of Manufacturing Technology and Management Pages: 126-147 Issue: 2 Volume: 34 Year: 2020 Keywords: supply chains; inbound logistic; performance evaluation; stochastic Petri nets; SPN; sustainability; transport modes; cloud computing. File-URL: http://www.inderscience.com/link.php?id=106209 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijmtma:v:34:y:2020:i:2:p:126-147 Template-Type: ReDIF-Article 1.0 Author-Name: Sergey Egorov Author-X-Name-First: Sergey Author-X-Name-Last: Egorov Author-Name: Alexey Kapitanov Author-X-Name-First: Alexey Author-X-Name-Last: Kapitanov Author-Name: Vladimir Mitrofanov Author-X-Name-First: Vladimir Author-X-Name-Last: Mitrofanov Author-Name: Leonid Shvartsburg Author-X-Name-First: Leonid Author-X-Name-Last: Shvartsburg Author-Name: Natalia Ivanova Author-X-Name-First: Natalia Author-X-Name-Last: Ivanova Author-Name: Sergey Ryabov Author-X-Name-First: Sergey Author-X-Name-Last: Ryabov Title: Modelling of flexible manufacturing systems Abstract: This paper describes an original approach to one of the key problems in modern mechanical engineering – modelling of modern manufacturing systems with regard to the choice of relevant model type. It is shown that in terms of systemology, all the existing models are divided into the imitating (replicating) and optimising ones, while manufacturing system design belongs to semi-structured issues. Therefore, at the macro-designing stage one should use optimising models, rather than the imitating ones. The study provides a broad definition of the technological process as a set of actions aimed at product manufacturing, designing the sequence of relevant steps. It defines production flexibility and adaptation of the manufacturing system to changing conditions. These solutions can be used in automation in manufacturing, computer aided design (CAD) and modelling (CAM), computer aided engineering analysis, flexible manufacturing systems, flexible automation and production engineering. Journal: Int. J. of Manufacturing Technology and Management Pages: 245-258 Issue: 3 Volume: 34 Year: 2020 Keywords: manufacturing system; designing; macro-design; optimising models; systems analysis; decision making; flexible technology; automation; market; order. File-URL: http://www.inderscience.com/link.php?id=107306 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijmtma:v:34:y:2020:i:3:p:245-258 Template-Type: ReDIF-Article 1.0 Author-Name: M. Kalaimathi Author-X-Name-First: M. Author-X-Name-Last: Kalaimathi Author-Name: G. Venkatachalam Author-X-Name-First: G. Author-X-Name-Last: Venkatachalam Author-Name: M. Sivakumar Author-X-Name-First: M. Author-X-Name-Last: Sivakumar Title: An experimental investigation and modelling for travelling wire electrochemical machining of Monel 400 alloys Abstract: Monel 400 alloys find its applications in aerospace and marine industries. It is tough to cut these alloys using conventional machine tools as the hardness is high and also these alloys work-harden during cutting. Travelling wire electrochemical machining (TWECM), can cut these alloys efficiently and improves material removal rate (MRR) and surface quality. In this investigation, an attempt was made to investigate the TWECM characteristics of Monel 400 alloys and model the equation for MRR with the three process parameters i.e. voltage (V), electrolyte concentration (EC) and travelling wire speed (TS). The response surface methodology (RSM) was employed for design and analysis of experiments. The contour plots were generated to understand the effect of machining parameters on MRR. Artificial neural networks (ANN) were implemented to predict the process parameters. The predicted values of MRR with regression equation and ANN are in close agreement with the experimental results. Journal: Int. J. of Manufacturing Technology and Management Pages: 259-281 Issue: 3 Volume: 34 Year: 2020 Keywords: travelling wire electrochemical machining; TWECM; material removal rate; MRR; response surface methodology; RSM; artificial neural networks; ANN. File-URL: http://www.inderscience.com/link.php?id=107307 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijmtma:v:34:y:2020:i:3:p:259-281 Template-Type: ReDIF-Article 1.0 Author-Name: Mostafa Mansourinejad Author-X-Name-First: Mostafa Author-X-Name-Last: Mansourinejad Author-Name: Bahman Mirzakhani Author-X-Name-First: Bahman Author-X-Name-Last: Mirzakhani Title: Stress relaxation behaviour of hot deformed austenite in high strength micro-alloyed pipeline steel Abstract: The objective of the present study is to investigate the static restoration of CMn(V-Nb-Ti) pipeline steel utilising comparative study of the stress relaxation and micro-alloying precipitates behaviour. The hot compression tests in temperature range of 850°C to 1,000°C, strains of 0.04, 0.1, 0.25, 0.4 and strain rates of 0.1 and 0.5 s<SUP align="right"><SMALL>&minus;1</SMALL></SUP> have been carried out and the hot flow stress of austenite has been evaluated by stress relaxation technique at annealing time intervals of 0.05 to 1000 s. The results indicate that at the specific deformation temperature of 850°C, the strain induced precipitation starts with the beginning of annealing time which retards recrystallisation. At higher temperatures than 900°C and strains more than 0.25 and 0.4, first recrystallisation occurs and then the plateau appears. The electron backscattering diffraction (EBSD) image also confirms the partial recrystallisation in a sample quenched at the end of the plateau. Journal: Int. J. of Manufacturing Technology and Management Pages: 282-295 Issue: 3 Volume: 34 Year: 2020 Keywords: stress relaxation; recrystallisation; precipitation; micro-alloyed steel. File-URL: http://www.inderscience.com/link.php?id=107308 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijmtma:v:34:y:2020:i:3:p:282-295 Template-Type: ReDIF-Article 1.0 Author-Name: N.C. Brintha Author-X-Name-First: N.C. Author-X-Name-Last: Brintha Author-Name: Shajulin Benedict Author-X-Name-First: Shajulin Author-X-Name-Last: Benedict Author-Name: J.T. Winowlin Jappes Author-X-Name-First: J.T. Winowlin Author-X-Name-Last: Jappes Title: Resource allocation in cloud manufacturing using bat algorithm Abstract: Due to the advancements in information and communication technologies, growing volatility and business competitiveness, manufacturing industries have started to change their strategies of pursuing business. As a consequence of this change, cloud based manufacturing systems have emerged and one of the major challenges in such systems is optimal resource allocation to tasks in production line. However, utilising manufacturing cloud resources for satisfying job requirements needs much more effort. In our work, we present a better assignment of resource to tasks by having a qualitative analysis of match between task and the resources through the use of adaptive search mechanism. We propose a bat-based heuristic approach, to work on improving computation time, makespan and balance in workload. Progressive experimentation was made in casting of engine block and the results show that, usage of bat algorithm supports rapid convergence. Also, bat algorithm is used to provide optimal resource allocation among tasks. This algorithm improves workflow performance by minimising makespan. The proposed workflow approach satisfies large scale production requirements in manufacturing environment and can achieve optimal solution by minimising delays. Journal: Int. J. of Manufacturing Technology and Management Pages: 296-310 Issue: 3 Volume: 34 Year: 2020 Keywords: cloud manufacturing; bat algorithm; engine block; tasks and resources; makespan. File-URL: http://www.inderscience.com/link.php?id=107309 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijmtma:v:34:y:2020:i:3:p:296-310 Template-Type: ReDIF-Article 1.0 Author-Name: Soumitra Bhale Author-X-Name-First: Soumitra Author-X-Name-Last: Bhale Author-Name: Ahmed Azab Author-X-Name-First: Ahmed Author-X-Name-Last: Azab Author-Name: M. Fazle Baki Author-X-Name-First: M. Fazle Author-X-Name-Last: Baki Title: Grouping and sequencing of machining operations for high-volume transfer lines Abstract: Transfer lines are employed for the mass production of fixed products or a very narrow range of product variants. This paper considers a simple transfer line balancing problem (TLBP) with a focus on process planning and line configuration. The design features of the product are grouped and machining operations are sequenced in an optimal manner. The objective is to minimise the handling time fraction of the cycle time consisting mainly of the orientation change time and the tool change time. A new mixed integer linear programming (MILP) model is proposed to solve the problem with the aforementioned objectives while respecting a set of constraints, which include cutting tool allocation, tool magazine limit, tool life limit, takt time limit and precedence, and inclusion and exclusion constraints. Problem-specific simulated annealing algorithm (SAA) and genetic algorithm (GA) are developed. Numerical experiments are conducted to illustrate the functionality of the MILP model and heuristic algorithms with respect to optimality and the computation time. Journal: Int. J. of Manufacturing Technology and Management Pages: 211-244 Issue: 3 Volume: 34 Year: 2020 Keywords: transfer line balancing; feature grouping; operation sequencing; MILP; simulated annealing; genetic algorithms. File-URL: http://www.inderscience.com/link.php?id=107310 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijmtma:v:34:y:2020:i:3:p:211-244 Template-Type: ReDIF-Article 1.0 Author-Name: Ehsan Pourjavad Author-X-Name-First: Ehsan Author-X-Name-Last: Pourjavad Author-Name: Hadi Shirouyehzad Author-X-Name-First: Hadi Author-X-Name-Last: Shirouyehzad Author-Name: Arash Shahin Author-X-Name-First: Arash Author-X-Name-Last: Shahin Title: Integration of ANP and DEA methods for evaluating efficiency of maintenance strategies Abstract: Selecting a suitable maintenance strategy has become an important challenge for facility/maintenance managers in most companies, and it keeps coming up because of complex equipment and variety of maintenance plans. The main purpose of this paper is to propose a prompt method to evaluate the efficiency of maintenance strategies and determine the optimum one. To further investigate this issue, an integration of analytic network process (ANP) and data envelopment analysis (DEA) methods are employed. At first, the weight of each criterion is calculated by ANP method and the ratio of weights of criteria is employed as a restriction. Then the weight of each criterion for maintenance strategies will be determined by paired comparison of maintenance strategies related to criteria. These weights are taken into account as inputs and outputs of DEA model. Finally, the efficiency of maintenance strategies will be calculated by DEA. In this research, the efficiency of five maintenance strategies is examined according to four criteria; cost, reliability, maintainability, availability for one class of equipment at Chadormalu Mining Industrial Company. It results in that TPM and CBM strategies have been confirmed to be the optimum strategies for maintaining this equipment. Journal: Int. J. of Manufacturing Technology and Management Pages: 311-330 Issue: 4 Volume: 34 Year: 2020 Keywords: analytic network process; ANP; data envelopment analysis; DEA; maintenance strategy; mining industry; efficiency. File-URL: http://www.inderscience.com/link.php?id=108016 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijmtma:v:34:y:2020:i:4:p:311-330 Template-Type: ReDIF-Article 1.0 Author-Name: M. Kalaimathi Author-X-Name-First: M. Author-X-Name-Last: Kalaimathi Author-Name: G. Venkatachalam Author-X-Name-First: G. Author-X-Name-Last: Venkatachalam Author-Name: M. Sivakumar Author-X-Name-First: M. Author-X-Name-Last: Sivakumar Author-Name: S. Ayyappan Author-X-Name-First: S. Author-X-Name-Last: Ayyappan Title: Multi-response optimisation of electrochemical machining process parameters by harmony search-desirability function optimiser Abstract: Selection of the optimum electrochemical machining (ECM) process parameters is extremely crucial as this machining process involves huge capital investment and operating cost. In this work, the harmony search (HS) algorithm is integrated with desirability function (DF) in such a way that new HS-DF optimiser is proposed to optimise the ECM process parameters. The influence of three predominant ECM process parameters i.e. inter-electrode gap (IEG), voltage (V) and electrolyte concentration (EC) on the performance measures of material removal rate (MRR) and surface roughness (R<SUB align="right"><SMALL>a</SMALL></SUB>) was considered. The optimised values of EC = 115 g/l, V = 13 V, and IEG = 0.11 mm resulted in MRR of 0.726 g/min and Ra of 1.53 μm for electrochemical machining of Monel 400 alloys. The optimised results are compared with those drawn from the past research and found better. The HS-DF optimiser proves its applicability and suitability for optimising process parameters of ECM process, which reduces considerable computational, experimental cost and time. Journal: Int. J. of Manufacturing Technology and Management Pages: 331-348 Issue: 4 Volume: 34 Year: 2020 Keywords: electrochemical machining; ECM; multi-response optimisation; harmony search; HS; algorithm; desirability function; DF. File-URL: http://www.inderscience.com/link.php?id=108017 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijmtma:v:34:y:2020:i:4:p:331-348 Template-Type: ReDIF-Article 1.0 Author-Name: Ravindra Ojha Author-X-Name-First: Ravindra Author-X-Name-Last: Ojha Author-Name: Prem Vrat Author-X-Name-First: Prem Author-X-Name-Last: Vrat Title: Circular material resource consumption for sustainability of manufacturing growth: a System Dynamics analysis Abstract: The paper highlights the volatility in material prices and other environmental impacts due to sharp depletion of material resources. The depletion is an outcome of the linear model of resource consumption based on 'take-make-dispose' approach to managing material resources. The circular model of resources consumption based on 'take-make-use-collect-reprocess-reuse' approach has been proposed as an alternate paradigm which has been of interest to economists and policy planners in recent times. The paper develops a System Dynamics (SD) model to understand and analyse long-term policy implications of the circular model on manufacturing growth. Using the generic SD model developed; 12 scenarios have been simulated which provide very useful insights to facilitate sustainable policy decisions for manufacturing growth. A case study for recycling of zinc is provided which examines the issues involved in the context of zinc as an important metal-necessary to sustain manufacturing growth. Journal: Int. J. of Manufacturing Technology and Management Pages: 349-375 Issue: 4 Volume: 34 Year: 2020 Keywords: green-reserve; circular material-consumption; System Dynamics and causal loop diagram; manufacturing growth; end-of-life of product. File-URL: http://www.inderscience.com/link.php?id=108018 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijmtma:v:34:y:2020:i:4:p:349-375 Template-Type: ReDIF-Article 1.0 Author-Name: P.C. Padhi Author-X-Name-First: P.C. Author-X-Name-Last: Padhi Author-Name: D.K. Tripathy Author-X-Name-First: D.K. Author-X-Name-Last: Tripathy Title: Multi-response optimisation of machining parameters in wire EDM process using grey relational analysis Abstract: Wire electrical discharge machining (WEDM) is extensively used in machining of materials when precision is of prime importance. It is a specialised process for cutting complex contours or fragile geometries that would be difficult to be produced using conventional cutting methods. In the present work, the WEDM machining of EN-31 alloy steel has been studied with multiple performance characteristics such as cutting rate (CR), surface roughness (Ra) and dimensional deviation (DD) using grey-Taguchi method. The process parameters considered for optimisation are pulse on time (T<SUB align="right"><SMALL>on</SMALL></SUB>), pulse off time (T<SUB align="right"><SMALL>off</SMALL></SUB>), wire feed (WF), wire tension (WT), spark gap set voltage (SV) and servo feed (SF). For experimentation Taguchi's L27 orthogonal array (OA) has been used. The application of grey relational analysis is adopted to convert multi-objective criterion into an equivalent single objective function; overall grey relational grade (GRG), which has been maximised by using Taguchi technique. Additionally, the analysis of variance (ANOVA) for GRG is utilised to determine the most significant process parameters. Optimal setting has been verified through confirmatory test; found good agreement with predicted value. The experimental results confirm that the proposed method effectively improves the machining performance of WEDM process. Journal: Int. J. of Manufacturing Technology and Management Pages: 376-394 Issue: 4 Volume: 34 Year: 2020 Keywords: wire electrical discharge machining; WEDM; cutting rate; surface roughness; dimensional deviation; orthogonal array; grey relational analysis; GRA. File-URL: http://www.inderscience.com/link.php?id=108019 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijmtma:v:34:y:2020:i:4:p:376-394 Template-Type: ReDIF-Article 1.0 Author-Name: Smrutirekha Sen Author-X-Name-First: Smrutirekha Author-X-Name-Last: Sen Author-Name: Sudheer Reddy Author-X-Name-First: Sudheer Author-X-Name-Last: Reddy Author-Name: P.G. Mukunda Author-X-Name-First: P.G. Author-X-Name-Last: Mukunda Title: Mechanical characterisation of Al and Al-4%Cu alloy prepared by horizontal centrifugal casting process Abstract: Casts of aluminium (Al) and aluminium-copper alloy (Al-4%Cu) were produced using horizontal centrifugal casting method at varied process parameters such as rotational speed, aspect ratio and mould wall thicknesses. The effects of mould wall thickness and rotational speed on the microstructure of Al and Al-4%Cu alloy had been investigated. The hardness of Al casts determined was lower than that of Al-4%Cu alloy and was found to be improved than that of conventional castings. Specific wear rate of centrifugally cast Al-4%Cu alloy was lower than those of pure Al casts. The coefficient of friction and frictional force of specimens was found to be lower for the cast produced under a greater rotational speed of the mould and it was also observed that frictional force gradually increases with load. The presence of copper in aluminium base (4% Cu) has enhanced the ultimate tensile strength of the alloy. Journal: Int. J. of Manufacturing Technology and Management Pages: 395-404 Issue: 4 Volume: 34 Year: 2020 Keywords: centrifugal casting; hardness; wearing behaviour; Al-4%Cu alloy. File-URL: http://www.inderscience.com/link.php?id=108020 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijmtma:v:34:y:2020:i:4:p:395-404 Template-Type: ReDIF-Article 1.0 Author-Name: Packirisamy Satheeshkumar Author-X-Name-First: Packirisamy Author-X-Name-Last: Satheeshkumar Author-Name: Sirukarumbur Pandurangan Natarajan Author-X-Name-First: Sirukarumbur Pandurangan Author-X-Name-Last: Natarajan Author-Name: Alamelu Nachiappan Author-X-Name-First: Alamelu Author-X-Name-Last: Nachiappan Author-Name: B. Shanthi Author-X-Name-First: B. Author-X-Name-Last: Shanthi Title: An effective control topology for multilevel inverter with a Z-source network Abstract: This document is used to explain about an efficient controlling method of multi level inverter with a Z-source network. The proposed method is an efficient control design for the optimisation difficulty which contains maximising or minimising of a real operation by methodically deciding input values from within a permissible group and calculating the value of the operation. The reduction of error between the real load voltage and its reference value is optimising the gain parameters in the projected control methodology. It contains better capability to reply quick alterations in different operating situations. The projected method is used to decrease the inrush current, harmonics, increase effectiveness and it develops the exchange effectiveness for broad range of loading situation. It also improves the guideline of the output voltage and capacitor voltage stress. The projected technique is executed in MATLAB/Simulink platform and the efficiency is compared with the predictable methods. Journal: Int. J. of Manufacturing Technology and Management Pages: 405-426 Issue: 5 Volume: 34 Year: 2020 Keywords: GSA algorithm; THD minimisation; switching angle; multilevel NPC Z-source inverter. File-URL: http://www.inderscience.com/link.php?id=109363 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijmtma:v:34:y:2020:i:5:p:405-426 Template-Type: ReDIF-Article 1.0 Author-Name: Ajay Gupta Author-X-Name-First: Ajay Author-X-Name-Last: Gupta Author-Name: Anil Kumar Author-X-Name-First: Anil Author-X-Name-Last: Kumar Author-Name: Naveen Beri Author-X-Name-First: Naveen Author-X-Name-Last: Beri Author-Name: Anil Ghubade Author-X-Name-First: Anil Author-X-Name-Last: Ghubade Title: Effects of tool rotation and powder abrasive on EDM performance of H13 tool steel Abstract: The present work reports an experimental study on the performance of rotary electro-discharge machining (REDM) on H13 tool steel using rotary copper electrode in the presence of abrasives. Machining performance was evaluated in terms of machining rate and surface roughness. Experiments were conducted with peak current, speed of electrode rotation, concentration of abrasive and pulse on time as process variables. Taguchi methodology was adopted for experimental design. Analysis of variance (ANOVA) was performed to investigate the influence of input parameters on material removal rate (MRR) and surface roughness (SR). This work introduces a new method abrasive mixed REDM of improving machining performance vis. rotation of tool in presence of abrasives. Results indicated that giving rotation to EDM tool results in considerable improvement in MRR and SR. This method successfully removed the debris from the machining area which was one of the major challenges in the existing process and major cause of rough surface due to inactive pulses. It was confirmed experimentally that material removal rate increased by 25.53% and surface roughness decreased by 21.22%. Journal: Int. J. of Manufacturing Technology and Management Pages: 427-444 Issue: 5 Volume: 34 Year: 2020 Keywords: rotary electric-discharge machining; REDM; analysis of variance; ANOVA; abrasives EDM; material removal rate; MRR; surface roughness; H13 tool steel. File-URL: http://www.inderscience.com/link.php?id=109364 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijmtma:v:34:y:2020:i:5:p:427-444 Template-Type: ReDIF-Article 1.0 Author-Name: Vishal John Mathai Author-X-Name-First: Vishal John Author-X-Name-Last: Mathai Author-Name: Harshit K. Dave Author-X-Name-First: Harshit K. Author-X-Name-Last: Dave Author-Name: Keyur P. Desai Author-X-Name-First: Keyur P. Author-X-Name-Last: Desai Title: Characterisation and modelling of tool electrode wear during planetary EDM of titanium grade 5 alloy Abstract: Planetary actuation of the tool electrode is one of the most widely used process improvement technique for enhancing sparking effectiveness and reducing tooling cost in EDM process. This paper discusses an experimental investigation on effect of machining as well as tool actuation parameters on tool wear rate (TWR) during EDM of titanium grade 5 alloy with planetary tool actuation. End wear and corner wear on the tool electrode have also been studied qualitatively to understand the wear intensity. Two different tool electrode materials, viz. copper and graphite with square shape have been used for experimentation. Further, semi empirical models have been developed by incorporating process parameters as well as physical properties of the electrode materials for predicting rate of erosion from the tool electrode. The results predicted by models developed for both copper and graphite electrodes have found to be in reasonable agreement with the experimental results. Journal: Int. J. of Manufacturing Technology and Management Pages: 445-466 Issue: 5 Volume: 34 Year: 2020 Keywords: wear; electro discharge machining; EDM; titanium; model; tool wear rate; TWR; planetary. File-URL: http://www.inderscience.com/link.php?id=109365 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijmtma:v:34:y:2020:i:5:p:445-466 Template-Type: ReDIF-Article 1.0 Author-Name: D. Sudarsan Author-X-Name-First: D. Author-X-Name-Last: Sudarsan Author-Name: G.D. Sivakumar Author-X-Name-First: G.D. Author-X-Name-Last: Sivakumar Title: Implementation of kanban to improve efficiency of a manufacturing system subject to bottlenecks Abstract: The strategy of a kanban is to optimise the inventory level by minimising the inventory holding cost and the back order level. The number of kanbans determines the total inventory has been used for manufacturing. A bi-criteria objective performance consisting of weighted tardiness and weighted work-in-process has been utilised for assessment. The bottleneck is a hurdle to reaching the objective. The major role of the projected paper is evolving the model to enhance kanban system in a product manufacturing industry by various optimisation methods by considering the hurdles due to bottleneck operation. These industrialised models can be used to enhance the system by minimising the tardiness and work in progress cost in the flow of product at the restricted access point with kanban production scheme. From the solutions attained, the optimal kanban size with minimum tardiness and WIP cost is identified by harmony search (HS) optimisation algorithm. Journal: Int. J. of Manufacturing Technology and Management Pages: 467-480 Issue: 5 Volume: 34 Year: 2020 Keywords: kanban process; bottleneck analysis; product manufacturing; industry; optimisation techniques. File-URL: http://www.inderscience.com/link.php?id=109366 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijmtma:v:34:y:2020:i:5:p:467-480 Template-Type: ReDIF-Article 1.0 Author-Name: M. Sivakumari Author-X-Name-First: M. Author-X-Name-Last: Sivakumari Author-Name: M. Karthika Author-X-Name-First: M. Author-X-Name-Last: Karthika Author-Name: M. Renuga Author-X-Name-First: M. Author-X-Name-Last: Renuga Title: Power factor correction of the enhanced SEPIC converter using a new control methodology Abstract: In the paper, an enhanced single-ended primary inductance converter (SEPIC) is proposed with BLDC motor drive. The enhanced SEPIC converter is designed with the switched inductor and their control topology is analyzed with the fractional order proportional-integral-derivative (FOPID) controller with ant-lion optimiser (ALO) algorithm. The enhanced control topology of SEPIC with BLDCM is utilised to done the power factor correction and to mitigate PQ issues. In the controller topology, the speed of the BLDCM is analyzed with the FOPID controller and generated the control pulses for the optimal operations. The proposed enhanced SEPIC converter-based motor drive is implemented in the MATLAB/Simulink platform and developed the converter performances. In order to prove the effectiveness of the proposed method, this is tested with the various speeds of BLDCM drive system. The proposed method is compared with PID controller topology. Journal: Int. J. of Manufacturing Technology and Management Pages: 481-507 Issue: 5 Volume: 34 Year: 2020 Keywords: single-ended primary inductance converter; SEPIC; brushless DC; BLDC; power factor correction; PFC; ant-lion optimiser; ALO; efficiency; fractional order proportional-integral-derivative; FOPID; PID controller. File-URL: http://www.inderscience.com/link.php?id=109367 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijmtma:v:34:y:2020:i:5:p:481-507 Template-Type: ReDIF-Article 1.0 Author-Name: D.S.P. Preetham Kumar Author-X-Name-First: D.S.P. Preetham Author-X-Name-Last: Kumar Author-Name: Selvarasan Iniyan Author-X-Name-First: Selvarasan Author-X-Name-Last: Iniyan Title: A new design methodology and performance analysis of a low wind speed turbine Abstract: A new methodology is initiated to design a wind turbine that can operate efficiently in low wind speed conditions. The scenario explained elaborately in this research paper have the blades designed to offer an efficient solution for low wind speed zones. The different forces and angles at specific locations on the blade are designed, tested and implemented. Computational fluid dynamics (CFD) is employed to forecast the performance of blades along with the visualisation of velocity; pressure and velocity streamline distribution around the blade when rotated at the proposed rpm. The aerodynamic performance of the blade coincides with the design requirements and is scrutinised for variable wind conditions. A six bladed wind turbine system is used as replacement for the conventional large diameter blades. The computational results indicate that the power output is obtained at 3.4 m/s whereas the experimental power output is obtained at 4.4 m/s. Journal: Int. J. of Manufacturing Technology and Management Pages: 540-556 Issue: 6 Volume: 34 Year: 2020 Keywords: blade; aerodynamic design; low wind speed turbine; performance analysis; computational fluid dynamics; CFD. File-URL: http://www.inderscience.com/link.php?id=109997 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijmtma:v:34:y:2020:i:6:p:540-556 Template-Type: ReDIF-Article 1.0 Author-Name: Hemant Sahebrao Kulat Author-X-Name-First: Hemant Sahebrao Author-X-Name-Last: Kulat Author-Name: Anupama Pushkar Huddar Author-X-Name-First: Anupama Pushkar Author-X-Name-Last: Huddar Title: Intelligent control technique for slip frequency control-based stability improvement of induction motor Abstract: In this paper, an intelligent control technique is developed for improving the stability of the induction motor (IM). An intelligent technique is the adaptive neuro fuzzy inference system (ANFIS) which is proposed to improve the stability and regulate the speed of the IM. Here, the proposed technique is integrated with the phase locked loop (PLL) control. The PLL is employed to provide the slip frequency control and to provide better performance characteristics of the motor. The proposed method-based PLL technique provides an excellent speed, torque and slip frequency control of IM drives. In the proposed controller, the ANFIS is used to evaluate the error signal available from the actual speed and command speed signal. Based on the objective function, the control signals are generated for the IM. The ANFIS-based PLL technique for IM is implemented in MATLAB/Simulink platform and their performances are compared with the existing methods such as FLC and ANN techniques. Journal: Int. J. of Manufacturing Technology and Management Pages: 557-576 Issue: 6 Volume: 34 Year: 2020 Keywords: adaptive neuro fuzzy inference system; ANFIS; FLC; ANN; slip frequency; speed; torque; IM and PLL. File-URL: http://www.inderscience.com/link.php?id=109998 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijmtma:v:34:y:2020:i:6:p:557-576 Template-Type: ReDIF-Article 1.0 Author-Name: V. Tamilselvan Author-X-Name-First: V. Author-X-Name-Last: Tamilselvan Title: A hybrid PSO-ABC algorithm for optimal load shedding and improving voltage stability Abstract: In this paper, a hybrid method is proposed for reducing the amount of load shedding and voltage collapse. The hybrid method is the combination of particle swarm optimisation (PSO) algorithm and artificial bee colony (ABC) algorithm. Both algorithms equally contribute in the paper to determine the optimal load shed values for improving the voltage stability of the power system. Here, PSO is used to determine the weak buses in the system whereas ABC computes the optimal amount of load shed value to be cut for voltage stability purpose. They work on different fitness functions as per the requirements of their purpose. The appropriate buses for load shedding are selected based on the sensitivity of minimum eigenvalue of load flow Jacobian with respect to the load shed. The proposed method based on PSO and ABC is implemented in MATLAB working platform and its performance is tested with six bus and IEEE 14 bus bench mark test systems. From the simulations, the performance of the proposed method is analysed and compared with various techniques in terms of sensitivity of minimum eigenvalues, voltage profile and load power. Through comparison performance, it is showed that the proposed method ensures voltage stability with minimum load shedding. Journal: Int. J. of Manufacturing Technology and Management Pages: 577-597 Issue: 6 Volume: 34 Year: 2020 Keywords: load shedding; eigenvalue; voltage stability; VS; particle swarm optimisation; PSO; artificial bee colony; ABC; hybrid method. File-URL: http://www.inderscience.com/link.php?id=109999 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijmtma:v:34:y:2020:i:6:p:577-597 Template-Type: ReDIF-Article 1.0 Author-Name: Sujata Arora Author-X-Name-First: Sujata Author-X-Name-Last: Arora Author-Name: G. Leena Author-X-Name-First: G. Author-X-Name-Last: Leena Title: An intelligence technique-based control model for power system stabiliser Abstract: In the power system, voltage instability is one of the important issues and it may cause voltage sag, voltage swell, change in load and generation of harmonics. To tackle all these problems, the transmission power system makes use of an intelligent control model to improve the stability of power system. In this paper, a new adaptive neuro fuzzy inference system (ANFIS) based power system stabiliser (PSS) for the enhancement of voltage stability in power systems is proposed. A hybrid learning algorithm, which combines the least squares method and the back propagation algorithm, is used to train the ANFIS. The performance of the power system by using fuzzy based PSS is about 60.1% when compared to that of the conventional PSS. To evaluate the effectiveness of the proposed technique the performance of the proposed technique was compared with the results obtained by using fuzzy PSS model and its performance was analysed. Simulation results described in the paper demonstrate that the adaptive neuro-fuzzy based PSS can give 33.43% of improvement in voltage stability when compared to that of fuzzy based PSS over a wide range of operating conditions. Journal: Int. J. of Manufacturing Technology and Management Pages: 598-613 Issue: 6 Volume: 34 Year: 2020 Keywords: adaptive network based fuzzy inference system; ANFIS; fuzzy controller; voltage stability; reactive power; power system stabiliser; PSS. File-URL: http://www.inderscience.com/link.php?id=110000 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijmtma:v:34:y:2020:i:6:p:598-613 Template-Type: ReDIF-Article 1.0 Author-Name: Zhongkai Xiong Author-X-Name-First: Zhongkai Author-X-Name-Last: Xiong Author-Name: Nian Guo Author-X-Name-First: Nian Author-X-Name-Last: Guo Title: Deterring independent remanufacturers by strategic inventory Abstract: In many industries independent remanufacturers (IRs) abound and their remanufactured products impose an external threat on the new products of original equipment manufacturers (OEMs). To cope with the threat, conventional wisdom suggests OEMs involve in the remanufacturing process. However, in reality there are still many OEMs who are unwilling to adopt the remanufacturing strategy worrying their own remanufactured products would cause an internal competition and cannibalise their new products. In this paper, we propose a new strategy for OEMs to deal with the dilemma. Specifically, we use a two-period model to show by building up strategic inventory in the first period, OEMs can successfully deter the entrance of IRs. The strategic inventory strategy works because it can be used as a commitment device to convey credible information that there will be enough new products in the second period and entering the market will be rendered unprofitable for IRs. Journal: Int. J. of Manufacturing Technology and Management Pages: 509-522 Issue: 6 Volume: 34 Year: 2020 Keywords: strategic inventory; entry-deterrence; closed-loop supply chain; remanufacturing. File-URL: http://www.inderscience.com/link.php?id=110001 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijmtma:v:34:y:2020:i:6:p:509-522 Template-Type: ReDIF-Article 1.0 Author-Name: Mingchang Wu Author-X-Name-First: Mingchang Author-X-Name-Last: Wu Author-Name: Ibnu Siswanto Author-X-Name-First: Ibnu Author-X-Name-Last: Siswanto Title: Collaboration between universities, government, and industries: applying the triple helix relationship model to Indonesian education improvement Abstract: Triple helix model is a dynamic interaction approach to facilitate the government, industries, and academia for continuously generating innovative products to encounter global knowledge-based economic trend. This article firstly reviews and analyses the purposes, operations, and effects of the three sectors collaboration at Empire State Development Division of Science, Technology and Innovation and the Medicon Valley. Three supporting factors are identified, human resources quality, competitive supporting system, and entrepreneurship, as the key factors for the successful trilateral collaboration. The second part of the article presents a conceptual framework to implement the mutual collaboration model in Indonesia. Finally, this paper suggests the three institutions in Indonesia to actively reconstruct their roles in society to create new innovative product and/or innovative area creation in order to speed up the growth of knowledge-based economy, which in turn provide well-being and comfort for the individual and society. Journal: Int. J. of Manufacturing Technology and Management Pages: 523-539 Issue: 6 Volume: 34 Year: 2020 Keywords: government; Indonesia; industries; triple helix model; universities. File-URL: http://www.inderscience.com/link.php?id=110002 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijmtma:v:34:y:2020:i:6:p:523-539