International Journal of Manufacturing Technology and Management (41 papers in press)
Revisiting sustainable EOQ model considering carbon emission
by Hui Ming Wee, Yosef Daryanto, Kuo-Hsing Wu
Abstract: From our review of sustainable EOQ inventory models, most researchers include carbon emission in the objective function or constraint. In this study, we have enriched current researches by in-cooperating sustainability criteria into inventory model. The study develops a sustainable EOQ model by considering carbon emission comes from transportation and warehouse operations; we also consider imperfect quality items and assume complete backordering. A numerical analysis has been provided and it has been shown that our model results in a higher expected total profit per unit time.rnrn
Keywords: Sustainable EOQ; Carbon emission; Imperfect quality; Complete backordering.
Modeling and Analysis on Influential Machining Parameters of 38MnSiVS5 Micro alloyed Steel by D-Optimal Design
by MUNIRAJ Subramaniyam, Nambi Muthukrishnan
Abstract: This article presents the experimentally comparison on machining of Micro Alloyed Steel (MAS) of cylindrical rods with 80 mm diameter and length of 350 mm using the medium-duty lathe of 7.5 kW spindle power at 1600 rpm to set the guide lines and to understand the machining behaviour of MAS using K20 uncoated, single layer (TiN) coated and multi-coated (TiN-TiCN-Al2O3-ZrCN) carbide insert. The mathematical modeling and optimum cutting parameters have been identified by Response Surface Method (RSM) based D-Optimal Design technique. Significant contribution of parameters can then be determined by Analysis Of Variance (ANOVA). Experimental results have shown that surface roughness performance can be improved effectively through this approach. . The results shown the relation between the machining parameters such as cutting speed, depth of cut and federate on surface quality and also the role of cutting parameters on cutting force. It is concluded that, the experimental values are in reasonable concord with the proposed model values. The proposed model and analysis is very effectual in the turning operation of micro alloy steel.
Keywords: ANOVA,Cutting Force,Responsesurface Method-D-Optimal method,surface roughness; Turning.
Prediction of Performance and Emission Characteristics of Biodiesel Microexplosion Process in C.I Engine by Utilizing NN-IABC Approach
by Selvaraj Manickam, Sentilkumar P.
Abstract: The world is getting modernized and industrialized step by step. Utilization of traditional diesel fuel causes a difficult issue of air contamination and consequences for the earth prompting impact like nursery, a few considers diesel fuel brings about high discharge in diesel motor. In this paper propose a Jatropha bio-diesel, which can be utilized as an option diesel fuel, is produced using inexhaustible natural sources, for example, vegetable oil and creature fats. The principle destinations of this paper are to examine the execution and discharges qualities of a Compression Ignition (CI) Engine keep running with biodiesel under miniaturized scale blast handle with different loads and weight. The test consequences of SFC, SEC, TFC, BP, BTE and fumes temperature and additionally CO2, O2, NOx, CO and HC outflows were displayed and talked about by the assistance of NN improvement with IABC calculation. In view of the exploratory outcomes NN performs preferred outcome over ordinary calculations. The improvement calculations foresee the parameters viably and executed in MATLAB programming.
Keywords: Biodiesel; Compression Ignition engine; microexplosion; NN; IABC.
Design of Type-2 Fuzzy Logic Controller for Fluid Catalytic Cracking Unit
by Brijet Z, Bharathi N
Abstract: Modeling and controlling of Fluid Catalytic Cracking Unit (FCCU) is a challenging problem since it is a highly nonlinear and interacting process. Model of FCCU that describes the dynamic behavior of reactor and regenerator has been developed by considering energy and material balance equations. Fuzzy logic control technique in the field of intelligent control has been used in this paper, since it handles uncertainty very well. In this work, centralized mamdani types T1FLC and T2FLC have been designed for FCCU to control the reactor and regenerator temperature. The closed loop simulation study for servo and servo with regulatory performance has been carried out for the two controllers and the performances have been analyzed. The comparative study of these two control schemes reveals that the Type2FLC gives better performance than Type1FLC.
Keywords: fuzzy logic; intelligent control; reactor; regenerator; fluid catalytic cracking unit.
Dual-Network Embeddedness, Absorptive Capacity, and Enterprise Innovation Performance: Evidence from the Chinese Hi-Tech Manufacturing Industry
by Qian Sun, Renyong Hou, Gebremichael Hailekiros
Abstract: Embedded innovation represents a new innovation mode. However, the relationships among network embeddedness, absorptive capacity and enterprise innovation performance remain unclear. This paper develops a conceptual framework of value chain and knowledge chain embeddedness, absorptive capacity and enterprise innovation performance to reveal the mechanism of dual-network embeddedness in enterprise innovation performance from an absorptive capacity perspective. Structural equation modelling and survey data from the hi-tech manufacturing industry in China are used. The results reveal that (1) both value chain embeddedness and knowledge chain embeddedness enhance enterprise innovation performance, but (2) they promote enterprise innovation performance in different ways. Knowledge chain embeddedness promotes enterprise innovation performance through assimilation capacity, while value chain embeddedness promotes enterprise innovation performance through search and acquisition capacity. Suggestions are presented on how to enhance enterprise innovation performance from the network embeddedness and absorptive capacity perspectives.
Keywords: Network Embeddedness; Enterprise Innovation Performance; Absorptive Capacity; Value Chain; Knowledge Chain; Hi-Tech Manufacturing Industry.
QUANTIZATION OF DRIVING ENABLERS ENABLING TRANSITION FROM TRADITIONAL TO FLEXIBLE MANUFACTURING SYSTEM
by PRABHU DUBEY, Prashant Chauhan, Prashant Shekhar, Prakhar Agrawal, Paras Sharma
Abstract: The purpose of this paper is to empirically test a conceptual framework based upon three constructs, i.e.: 1) top level management (TLM); 2) clear vision (CV); 3) support from government(SFG). TLM is measured in terms of: 1) qualification of employees; 2) behaviour with subordinates; 3) strategic planning; 4) long- term goals. CV is measured in terms of: 1) willingness of employees to change; 2) long- term planning; 3) core competency; 4) scheduling. Availability of SFG is measured in terms of: 1) infrastructure facility; 2) availability of loans; 3) adequate supply of energy; 4) feasibility of trading; 5) approval of project; 6) governments cooperation. Various statistical techniques were used to verify, validate and test the reliability of the hypothesis and their sub- dimensions. Results of structural modeling (SEM) revealed that TLM dimension has a direct and significant impact towards CV (0.83) and SFG (0.62). Also, CV dimension shows a direct, positive impact on SFG (0.70).
Keywords: top level management; clear vision; support from government; structural equation modeling.
Grey- Relational Analysis of Fluid Assisted Blank Holding System in Deep Drawing Process for Al Alloy 1050 by Using a Numerical Simulation
by Nitin Kamble, Bhagwan Sonawane, B.B. Ahuja, Sandeep Sarnobat
Abstract: The objectives of this work is to develop a fluid assisted blank holding (FAB) system for deep drawing process and to study the effect of process parameters on thickness distribution, wrinkling and strain rate for Al 1050 through experiments. Deep drawing method have been investigated on Al alloy 1050 material, which is one of the lightest material for manufacturing parts. Limiting Drawing Ratio (LDR) has been improved compared to the conventional constant force mechanical blank holding system. Experiments were carried out by considering input parameters as punch force and blank holding force. The responses were measured using a modern photogrammetric measurement system named ARGUS. Multi objective optimization technique Grey Relational analysis have been used to find out optimum process parameters for the present conditions. The experimental results reveal that the quality of the resultant cup has been enhanced in terms of thickness distribution, strain rate and surface finish. The effectiveness of the FAB process has also been verified through simulation tools such as LS Dyna and FEA. These results were compared with the experimental results.
Keywords: Fluid assisted Blank Holding system (FAB); Al 1050 Alloy; Argus Mehod; Grey Relational Analysis; FEA Simulation Ls Dyna.
ABRASIVE WATER JET MACHINING PROCESS PARAMETERS OPTIMIZATION FOR MACHINING OF COMPLEX PROFILED COMPONENT FROM INCONEL 718 SUPER ALLOYS
by Vishnu M, Saleeshya P.G
Abstract: The demands for machining complex profile from difficult-to-machine materials find wide applications in various industries, that has been triggered the neck for development of advanced machining technologies, specifically non-conventional processes and associated optimization of machining parameter. Keeping in view the applications of Inconel-718 material for Aerospace applications, it has been selected as the specimen material for machining complex profiled component on KMT Steam line SL-V50 Water jet five axes CNC Abrasive Water Jet Machine at the research organisation. In the present work AWJM (Abrasive water jet machine) process parameters are optimized by Taguchi- Grey relational method on dimensions, geometries and surface roughness of complex curved contours. Additionally, the Pareto ANOVA (Analysis of Variance) of grey relational grade is also applied to find the most significant process parameter. Traverse speed is found to be the most significant process parameter for profile cutting in AWJM, also Confirmation experiments were conducted to validate the results. The experiment was done for a specified profile for cross sectional thickness of 6.6 mm and 18 sets of experiments were conducted based on stark‟s L18 orthogonal array.
Keywords: Grey relational analysis; AWJM; complex profile cutting; Inconel 718; Pareto ANOVA.
An Adaptive method for improving the Dynamic Performance of Two Area Power System using CS based neural network
by Jeha Jacob, Raja S
Abstract: An adaptive method is estimated for emerging the energetic performance of the two region power system with the help of Thyristor Controlled Series Capacitor (TCSC) gadget in this article. An adaptive method is the cuckoo search (CS) algorithm between neural networks (NN) is burdened to enhance the steadiness of the summarized two region power scheme illustration and assessed the power producer reactance and inactivity in the transmission demonstration. The CS algorithm is enhanced the energetic constraint and the NN is enlarging the probing activities of the anticipated algorithm. The anticipated technique is involved in assessing the energetic performance of the general apparatus for all regions setting the voltage and current constraint at the transactional end of the transmission demonstration. The originality of the predictable system is to assess and reservation the inter region energetic constraint of radial, two apparatus shortened apparatus power system illustration with the help of transactional energetic voltage and current constraint regulator. At this time the voltage regulator alike to TCSC device is engaged to accomplish the voltage constraint and feat the bus voltage phasor information at many buses along with the voltage manage bus and the demonstration currents on the power transmission demonstration. The anticipated method is midpoint on the transmission demonstrations which is affianced with the help of the TCSC for comforting the voltage and disrespects the blooper signal in the system, the three step blunder signal is beneficial in the two region power system. Subsequently, the energetic performance of the summarized two apparatus power system is envisioned with the help of the anticipated method and enhanced the energetic fortification. The anticipated procedure is implemented in MATLAB/Simulink functioning platform and also the productivity performance is assessed and compared with the prevailing methods like deficient of FACTS devices, with FACTS devices, three phase blunder condition, GA together with TCSC and ABC with TCSC congruently.
Keywords: Two machine reduced model; Dynamic parameters; Voltage and current parameters; TCSC; CS algorithm; NN technique and Reactance and Inertias.
Cellular layout cell assignment in cellular manufacturing system layout using colonel selection algorithm with considering entry and exit position of the parts to be processed in the layout
by V. Anbumalar, R. Mayandy, M. Shunmugasundaram
Abstract: Cell formation and facility layout formation are the two important steps in a cellular manufacturing system. The cell formation is a combination of part families identification and machine cell formation. The facility layout formation is defined as the determination of the relative locations for allocating the workstations in the available space. In this paper, the cells are assigned optimally in the cellular manufacturing system layout with an objective of minimize the traveling score for a planning horizon using colonel selection algorithm with considering the entry and exit point of the parts to be processed in the cell in addition to sequence of operation and demand required for a planning horizon. The results obtained by the proposed colonel selection algorithm are compared with few heuristic and Meta-heuristic algorithms available in the literature and shows it gives better results.
Keywords: cellular layout; cellular manufacturing system; clonical selection algorithm; fixed entry and exit point; total traveling score.
A Review on Application of Genetic Algorithms in Cellular Manufacturing Systems
by Barnali Chaudhuri, R.K. Jana, Manojit Chattopadhyay, Pranab Dan
Abstract: This study provides a systematic and integrated review of articles, puts up perspective into conceptualization and various critical parameters for research on the application of genetic algorithms to cell design of cellular manufacturing systems during the period 1992 to 2015. Taxonomy of genetic algorithms applications in cellular manufacturing systems is suggested by identifying 10 objectives/criteria, 33 production factors, and 10 performance measures. Considering the heterogeneity of parameters and operators applied by researchers, a metrics for genetic algorithms is developed. The objective of this study is to identify the research trends, chronological progress, the continuous development and the changing pattern of implementation of genetic algorithms in cellular manufacturing systems.
Keywords: Cell Formation; Cellular Manufacturing Systems; Genetic Algorithms; Hybrid Genetic Algorithms; Review.
Effect of Machining Parameters in Drilling of Glass Fiber Reinforced Polymer Composite with Modified AJM Process.
by Basanta Kumar Nanda, Debabrata Dhupal
Abstract: Conventional drilling of Glass Fiber Reinforced Polymer (GFRP) composite produces delamination effect due to peel-up and pull out of the layers. This research work represents drilling of GFRP rectangular workpieces with fluidized bed abrasive jet machining (FB-AJM) process using silicon carbide (SiC) abrasives. Experiments were conducted according to Box-Behnken design matrix to measure the four responses, namely, material removal rate (W), surface roughness (Ra), depth of cut (h), and taper angle (TA) by utilizing bed pressure (P), nozzle tip distance (Z) and abrasive grain size (G) as input parameters. Desirability based particle swarm optimization (PSO) was performed for the multi-objective optimization to find the optimal input parameters P, Z and G of 6 kgf/cm2, 7 mm, 260μm respectively. A single experiment was performed at the predicted optimal conditions to validate the model with minimum error. The SEM analysis of the machined composite surface revealed the initiation and propagation of cracks along with embedment of erodent particle.
Keywords: Glass Fiber Reinforced Polymer (GFRP); fluidized bed abrasive jet machining (FB-AJM); silicon carbide (SiC); response surface methodology (RSM); Desirability-Function; particle swarm optimization (PSO).
Robust Design Optimization of Constituent Mix and WEDM Electrical Parameters of AA6063/SiC Composites
by Iyyadurai Balasubramanian, Rathinam Maheswaran
Abstract: This paper addresses robust design and development of aluminium based composite materials with ceramic silicon carbide reinforcement with minimum sensitivity subjected to uncontrollable material factor constituent mix of the composite and Wire Electric Discharge Machining (WEDM) electrical machine setting parameters. The robust design reduces the variation in machinability performance of composite caused variations due to the unforeseen input parameters. In manufacturing sectors, the variation in performance is a major problem during the development of material for a process or product. The popular Taguchi parametric design approach is implemented in this work, to identify the best optimum parameter setting towards the single characteristic optimization of machinability performance measures like surface roughness, material removal rate and cutting width, by machining AA6063/SiC composites with different constituent mix through different levels of Electronica Sprintcut WEDM electrical machine setting parameters like pulse on time, pulse off time and peak current.
Keywords: Constituent mix; Wire Electric Discharge Machining; Surface Roughness; Material Removal Rate; Cutting Width; Pulse on time; Pulse off time; Peak current.
How does justice matter in developing supply chain trust and improving information sharing An empirical study in Pakistan
by Sahar Erfanian, Muhammad Ziaullah, Muhammad Abubakar Tahir
Abstract: In supply chain management information sharing has become a major driver of competitive advantage. Because organizations are an essential part of globalized competitive economies which are characterized by the network of intra and inter-firms relationships. Information sharing is an important prerequisite of supply chain integration. This article proposes to examine the association between supply chain justice, trust and information sharing. It presents a conceptual framework in which supply chain justice can affect information sharing through the development of trust between trade channel partners. The conceptual model comprises four hypotheses. We conducted confirmatory factor analysis (CFA), exploratory factor analysis to test the validity and reliability of the model. Hypotheses were tested using structural equation modeling on data collected from 170 firms of Pakistan. The study results indicate the importance for firms to promote supply chain justice in the whole supply chain for the development of partners trust, which can improve the high level of information sharing. Finally, implications for practice, limitations, and guidelines for future research are discussed in the paper.
Keywords: information sharing; supply chain integration; justice; trust; Pakistan.
On process analysis and optimisation of Nd: YAG laser cutting characteristics of Ti-6Al-4V alloy using RSM and NSGA-II
by D. Rajamani
Abstract: In recent years, titanium alloys has find diversified applications in aerospace, manufacturing and processing industries due to its unique characteristics. Ti alloys are difficult to cut by conventional machining techniques due to their uneven temperature distribution and high tool wear rate. The present study investigates the influence of major pulsed Nd: YAG laser process variables (i.e., pulse width, pulse energy, cutting speed, and gas pressure) on different performance measures (kerf deviation (KD) and metal removal rate (MRR)) during cutting of Ti-6Al-4V superalloy sheet. The experiments are designed and carried out based on RSM based Box-Behnken statistical design and the adequacy of developed mathematical model was analysed through ANOVA technique. Then, the optimal settings of operating conditions were predicted using non-dominated sorting genetic algorithm-II (NSGA II). The microstructures of laser cut surfaces were investigated and correlated using scanning electron microscope (SEM).
Keywords: Ti-6Al-4V; laser cutting; optimisation; ANOVA; RSM; NSGA II; kerf deviation; material removal rate; microstructure.
Speed Control of Switched Reluctance Motor (SRM) by Genetic Algorithm Based Optimal H-infinity Control Approach
by A. Rajendran, S. Padma
Abstract: In classical H- Infinity control technique, the uncertainties have parameters namely model error and variation outer disorder. But, the H-infinity control technique is an external control technique. The weight of the transfer function matrix is changed at different system state. Therefore, an optimal control weight is needed to make the system robust. The process of finding optimal control weight is complex because the H-infinity control process is a closed loop controller. To overcome these difficulties, in this paper, an optimal H-infinity control concept is proposed. In the proposed control procedure, the optimal transfer function matrix weight is obtained by genetic algorithm (GA) which is an efficient optimization algorithm. The proposed method is implemented in MATLAB and the speed of the SRM is controlled. Then the weight noise setting is obtained for every time instant. The optimal weight noise setting can be attained by H- infinity optimal control using GA approach.
Keywords: switched reluctance motor; Speed Control Technique; Optimal H-infinity Control; Robustness and genetic algorithm.
SIMULATED ANNEALING ALGORITHM FOR MINIMIZING ASSEMBLY VARIATION IN NONLINEAR ASSEMBLY
by R. Sivasubramanian, G. Venkatesan, M. Sivakumar, R. Sivasankar
Abstract: Precision assemblies need close tolerance components. A close tolerance component requires secondary operations, which increase the manufacturing cost considerably. A good number of methods like uniform grouping, equal probability, uniform tolerance etc., were discussed in literature focused generally on reducing surplus parts or minimizing clearance variation in selective assembly (SA) on the linear assembly. Moreover, existing techniques have used components tolerance for obtaining the best bin combinations rather than using the components dimension. The present work aims to obtain maximum number of products with closer assembly specification from wider tolerance sub components of a non-linear assembly by mating their components dimension based on the best bin combinations. Overrunning clutch assembly (OCA) is considered as an example problem, in which the sub components are manufactured with wide tolerance and partitioned into three to ten bins. A combination of best bins is obtained for the various assembly specifications by implementing Simulating Annealing Algorithm (SAA). The proposed method is proved its effectiveness through showing 24.9% of cost saving in making OCA.
Keywords: Tolerance; Clearance Variation; Non-Linear Assembly; Over Running Clutch Assembly and Simulated Annealing Algorithm.
Experimental Investigations on the Electrodeposition of Ni on Copper Substrate
by Aniket Das, Surekha B, Srinivasa Sai V
Abstract: In the present investigation, an attempt is made to study the electrodeposition of Ni coatings on the copper substrate. It is important to note that the addition of nickel on the copper surface improves the strength and corrosion resistance by allowing the alloy base substrate remain ductile. In this research, Watts bath has been used to perform the electrodeposition of Ni layer on copper substrate. During experimentation, the variables, such as current, solution concentration and electroplating time are considered as the input process parameters and metal deposition rate and micro hardness of the coating are treated as the responses. The number of experiments conducted to study the electrodeposition process has been decided based on the central composite design of experiments. It has been observed that the metal deposition rate and micro hardness of the coating is increased with the increase in the operating range of the input process parameters
Keywords: Electrodeposition; Ni coating; copper substrate; central composite design of experiments.
Optimized Fault Tolerant Core based ASIC Design for SRAM
by T. Suresh, Z. Brijet
Abstract: SRAMs are suitable to the applications of space and other radiation environment. Unfortunately, SRAMs are vulnerable to Single Event Upsets (SEUs) induced by radiation environments particles. So, the designer needs to validate an efficiency of the developed designs to detect and correct the errors. In this paper, an error-detection Hamming code which can be used to detect single and multiple bit errors and correct these errors in SRAMs has been proposed. It is a novel self-repairing approach for fast fault recovery with an optimized design which requires less number of resources, which can be easily applied to real time complex digital applications. The fault tolerant core is verified using Hamming code and synthesized using Xilinx ISE 14.5 and Cadence RTL compiler targeted to UMC90nm CMOS technology. After the successful synthesis the physical design using the CADENCE ENCOUNTER has been created. The physical design involves the floor planning, routing and generating a GDS II file. The total optimized area is about 3512mm
Keywords: Fault tolerance; SRAMs; Hamming code; Single-event-upset (SEU).
FPGA Implementation of Gate Level Modified Adaptive Filter Architecture for Noise Cancellation Application
by Gomathi Swaminathan, Murugesan G
Abstract: This paper provides an approach for the implementation of modifications in the gate level in the adaptive filter architecture. An adaptive filter is appreciable when processing real time data and under the conditions when the signal statistics are not known a priori. Filtering data in real time needs a dedicated hardware. The resources available for implementing an efficient digital filtering algorithm are present in Field Programmable Gate Array. To design a dedicated hardware with low computational complexity, an approach of gate level modifications is incorporated in the EX-OR gate and the modified EX-OR gate is implemented in the coefficient decimation method. The proposed modified coefficient decimation method is applied in the adaptive algorithms such as Recursive Least Square, Affine Projection, and Kalman algorithm. The designed structures are experimented with the ECG and speech signal and implemented in the Xilinx Virtex 5 FPGA. Simulation and implementation results infer area reduction is achieved up to 50% and delay reduction of 10% is obtained in the proposed structures.
Keywords: Field Programmable Gate Array; EX-OR; ECG; hardware; XILINX System Generator; full adder; half adder.
The International Location Decision: A Study of Manufacturing Firms
by Ebou Touray, Andreas Schmidt, Zaza Hansen
Abstract: The aim of this paper is to build a broader understanding of the international location decision (ILD) of manufacturing by investigating and mapping Danish manufacturing firms related activities and underlying processes. Using an exploratory survey approach on 17 Danish firms, the study shows there is less emphasis on cost than in past studies and a large unstructured human influence. A framework containing six categories of ILD factors cost, labor and social characteristics, infrastructure, politics and regulations, economics, and markets and resources and an assessment of their respective single factors are presented. Lastly, the paper identifies five major shortcomings in the current practice: unstructured processes, noninvolvement of the operational level of the organization, static perspective of dynamic factors, uneven balance between quantitative and qualitative factors, and no organizational learning.
Keywords: The International Location Decision; manufacturing firms; framework; shortcomings.
Estimating and Developing the Dynamic Parameters of Two Area Power System Using BAT Algorithm
by Jeha J, S. Charles Raja
Abstract: In this paper, a half breed procedure is proposed for building up the dynamic execution of the two region power framework with Thyristor Controlled Series Capacitor (TCSC) gadget. The cross breed procedure is consolidated with the BAT algorithm (BA) and artificial neural network (ANN) to exploitation the solidness of the lessened two range power framework demonstrate and evaluated the force generator reactance and inertias in the exchange way. The BA is evaluating the dynamic parameters and the NN is improving the looking conduct of the BA for creating higher execution of the framework. The proposed strategy is spotlight on the decreased model force framework which is utilized the TCSC for settling the parameters and synchronizing the two range framework. The execution of the proposed strategy is contrasted and the parameters and arranged taking into account the TCSC associated existing procedures like GA, ABC, PSO and CS.
Keywords: Two machine reduced model; Dynamic parameters; Voltage and current parameters; TCSC; Reactance; Inertias; BA and NN.
Simplified Full Precision Offset Estimation for timing and frequency Synchronization using factorized FFT processor
by Janakiraman V, Kannan M
Abstract: This paper presents a design methodology for highly reliable timing and frequency synchronization through scaled floating point arithmetic based factorized FFT processor. Radix factorization is the main technique for achieving high energy efficiency, followed by errorless floating point arithmetic computation will increase the performance of the coarse timing and frequency synchronization. Here representation of error propagation model for training sequence used for synchronization process with fixed point arithmetic is derived to analyze the rounding effect. The effect of quantization loss due to the fixed point arithmetic errors and in overall OFDM system performance with decimation-in-frequency (DIF) FFT configuration is analyzed and compared with full precision floating arithmetic through simulation. Based on the results, a simple bit size optimization is proposed to yield full precision accuracy with fewer bits. Finally radix-22 algorithm is proposed to compensate the area overhead due to inclusion of precision arithmetic in FFT computation.
Keywords: Full Precision Offset Estimation; Orthogonal frequency division multiplexing (OFDM); carrier frequency offset (CFO); Fast Fourier transform (FFT); discrete in time (DIT),timing and frequency Synchronization.
Investigation on the Effect of Support Structure Space in Determining Optimal Part Orientation Using a Generic Algorithm
by S. Malligarjunan, Chandrasekaran M, G.B. Bhaskar
Abstract: Prominence on support structure in limiting the build time of Rapid Prototyping (RP) processes got the least allure from researchers. Likewise, the Support Structure Space (3S) was not utilized yet to prolong the investigation in this arena. This paper proposes a critical thinking approach that limits build time to a lesser value, for part building in RP processes using a generic algorithm. Build time reduction leads to lower fabrication cost of the part. Construction of the bounding box, computation of the 3S volume and orientation of the part are discussed in the development phase of the algorithm. The verification and validation of sample-fabricated parts on FDM system have been done by comparing the outcomes obtained against the numerically estimated values.
Keywords: rapid prototyping; additive manufacturing; part orientation; build time; support structure; FDM; fused deposition modeling.
Modeling bead width and bead hardness in submerged arc welding using dimensional analysis
by Abhijit Saha, Subhas Chandra Mondal
Abstract: The Submerged Arc Welding (SAW) process finds wide industrial application due to its easy applicability, high current density and ability to deposit a large amount of weld metal using more than one wire at the same time. This paper presents the application of two techniques, namely, Rayleighs dimensional analysis for modeling and Grey relational analysis (GRA) for multi-objective optimization for bead width and bead hardness in SAW based on welding parameters such as, welding current, arc voltage, welding speed and electrode stick out respectively. Based on the experimental result, it was concluded that Grey relational analysis is suitable for the optimization of multi-response problem. The best-fitting curves were obtained for experimentally observed values of both bead width and bead hardness on the basis of the Rayleighs model. The comparison with experimental results will also served as further validation of model. The proposed methodology can be applied to other manufacturing processes dealing multivariate data.
Keywords: Submerged arc welding (SAW); Rayleigh’s theorem; Dimensional analysis; Grey relational analysis (GRA); Bead width; Bead hardness.
Modified firefly algorithm based quasi Z-source cascaded multilevel inverter (QZS- CMI) in power system
by G. Prem Sunder, Shanthi B., Alamelu Nachiappan, Natarajan S.P.
Abstract: In this paper, an intelligent technique is proposed to control the three-phase QZS-CMI-based grid-tie PV power system. The proposed system can achieve the constant dc-link peak voltage control, distributed maximum power point tracking (MPPT), and grid-tie power control with reduced harmonics. The proposed technique is the modified Firefly Algorithm (FA) among Particle Swarm Optimization (PSO) algorithm. The input of the proposed algorithm is the actual and desired PV voltage which is used to analyze the each modules by means of PV power, dc-link voltage, and grid-injected power with unity power factor. The intention of the task is to reduce the deviation of PV panel voltage for to engender their equivalent current and pulses. The PSO algorithm is utilized to improve the performance of t FA which is based on their randomized factor. Therefore, the optimal results are accomplished for to enhancing the performance of qZ-CMI. The main objective of the paper is described the total PV panel voltage control and grid-tie current control by using proposed technique. The proposed technique is implemented in Matlab/Simulink platform and their performances are contrasted by means of the existing methods such as PSO and base controller.
Keywords: quasi ZS-CMI; firefly algorithm PSO algorithm; PV; grid; module and dc link voltage.
TECHNOLOGY ASSESSMENT OF SMEs IN THE MANUFACTURING SUB-SECTORS BY FUZZY AHP, VIKOR AND TOPSIS APPROACHES
by Ufuk BOLUKBAS, Ali Fuat GUNERI
Abstract: Technology management, technological skills and technological competencies are critical factors that play a considerable role in firms ability to achieve competitive advantages associated with technology. It is quite surprising that studies on the relationship between technology competency and technology management skills are still rather scarce. This paper aims to fill this gap and offers an evaluation framework to examine dimensions of technology competency based on the management and technology capabilities; process management, product competitiveness, information and communication technologies (ICT), marketing strategies, innovation & entrepreneurship and research & development (R&D). In this study, multi criteria decision making approaches as fuzzy analytic hierarchy process (FAHP), VIKOR and TOPSIS methods are used to measure the performances of manufacturing enterprises from machine, metal, electric-electronic and textile sectors in Istanbul, Turkey. This study highlights the different aspects of technology competency issues which provide high-performances for enterprises from the manufacturing sub-sectors.
Keywords: technology management; technology competency; technology assessment; innovation management; multi criteria decision making; small and medium-sized enterprises; SMEs; performance measurement; strategic decision making; manufacturing industry.
Extrusion-Based Additive Manufacturing Systems: Current State, Parameters Optimization, Materials, Research Gap, Challenges and Future Potential
by Narendra Kumar, Prashant K. Jain
Abstract: In recent years, additive manufacturing (AM) has seen tremendous growth due to its capability of fabricating parts directly from CAD model with high geometric complexities. Among all available AM systems, the extrusion-based systems are popular than others due to their low-cost and simple design. Different variants of extrusion-based AM systems have been developed worldwide. The current article reviews the research trends in extrusion-based AM systems on process parameter optimisation, material development, system variants and their limitations. This review also highlights the present scenario, research gap, challenges and future possibilities of these techniques.
Keywords: additive manufacturing; 3D printing; layered manufacturing; extrusion; optimisation; materials; pellet; filament.
Strategic implementation of Just in Time practices for enhancing the performance of manufacturing industry- An Empirical Investigation
by Jagdeep Singh
Abstract: The purpose of this paper is to uncover the significance of strategic implementation of JIT practices towards manufacturing performance improvement. This study is an attempt to assess the performance of strategic implementation of JIT practices in manufacturing medium and large scale enterprises of Northern India. Questionnaire survey has been performed to ascertain the role of JIT issues towards manufacturing performance improvement by taking into account different practices of JIT. Hypotheses has been framed and tested using structural equation modeling and paired sample t test assuming equal variance. Findings suggest that the improvement in design aspects is the most important benefit achieved after successful implementation of JIT practices. Strategic implementation of JIT approach significantly improves the manufacturing performance through implementation of JIT practices. Both JIT issues and practices individually aimed at improving manufacturing performance through strategic implementation. JIT strategic implementation is gaining momentum with time.
Keywords: Just in Time manufacturing; waste; manufacturing etc.\r\n\r\n.
An effective control topology for multilevel inverter with a Z-source network
by Packirisamy Satheeshkumar, Sirukarumbur Pandurangan Natarajan, Alamelu Nachiappan, B. Shanthi
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.
Keywords: GSA algorithm; THD minimisation; switching angle; multilevel NPC Z-source inverter.
Effects of tool rotation and powder abrasive on EDM performance of H13 tool steel
by Ajay Gupta, Anil Kumar, Naveen Beri, Anil Ghubade
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%.
Keywords: rotary electric-discharge machining; REDM; analysis of variance; ANOVA; abrasives EDM; material removal rate; MRR; surface roughness; H13 tool steel.
Characterisation and modelling of tool electrode wear during planetary EDM of titanium grade 5 alloy
by Vishal John Mathai, Harshit K. Dave, Keyur P. Desai
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.
Keywords: wear; electro discharge machining; EDM; titanium; model; tool wear rate; TWR; planetary.
Implementation of kanban to improve efficiency of a manufacturing system subject to bottlenecks
by D. Sudarsan, G.D. Sivakumar
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.
Keywords: kanban process; bottleneck analysis; product manufacturing; industry; optimisation techniques.
Power factor correction of the enhanced SEPIC converter using a new control methodology
by M. Sivakumari, M. Karthika, M. Renuga
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.
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.
Deterring independent remanufacturers by strategic inventory
by Zhongkai Xiong, Nian Guo
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.
Keywords: strategic inventory; entry-deterrence; closed-loop supply chain; remanufacturing.
Collaboration between universities, government, and industries: applying the triple helix relationship model to Indonesian education improvement
by Mingchang Wu, Ibnu Siswanto
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.
Keywords: government; Indonesia; industries; triple helix model; universities.
A new design methodology and performance analysis of a low wind speed turbine
by D.S.P. Preetham Kumar, Selvarasan Iniyan
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.
Keywords: blade; aerodynamic design; low wind speed turbine; performance analysis; computational fluid dynamics; CFD.
Intelligent control technique for slip frequency control-based stability improvement of induction motor
by Hemant Sahebrao Kulat, Anupama Pushkar Huddar
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.
Keywords: adaptive neuro fuzzy inference system; ANFIS; FLC; ANN; slip frequency; speed; torque; IM and PLL.
A hybrid PSO-ABC algorithm for optimal load shedding and improving voltage stability
by V. Tamilselvan
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.
Keywords: load shedding; eigenvalue; voltage stability; VS; particle swarm optimisation; PSO; artificial bee colony; ABC; hybrid method.
An intelligence technique-based control model for power system stabiliser
by Sujata Arora, G. Leena
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.
Keywords: adaptive network based fuzzy inference system; ANFIS; fuzzy controller; voltage stability; reactive power; power system stabiliser; PSS.
Special Issue on: LISS16-OPMSC Optimisation Problems in Manufacturing and Supply Chains
CORRELATION ANALYSIS AND PRIORITIZED ABC FSN MATRIX FOR PHARMACY INVENTORY MANAGEMENT
by Manivel Palanisamy
The aim of the study was to identify the pitfalls in the existing supply chain of private and hospital pharmacies, identify the variables that influencing more in the efficiency of the pharmacy, select the appropriate inventory analysis and suggest the prioritized inventory matrix to meet customer requirement in efficient manner.
The qualitative and quantitative data has been collected through questionnaire and interview of the pharmacy personnel. Through SPSS, the normal distribution and correlation analysis to be carried out on sample data. The pitfalls were solved by the selection of appropriate inventory analysis and suggesting the prioritized inventory matrix to narrowed down the drugs for monitoring and control strategies of pharmacy drugs.
The normal distribution and correlation analysis results shows that the variables collected through questionnaire are normally distributed and the variables that most influence the efficiency of the pharmacy supply chain. The implementation of Prioritized ABC FSN matrix in pharmacy will helps to provide high-quality service to the customer and there will be an adequate supply of the items in the pharmacies. The future work also to be discussed.
The prioritized ABC FSN matrix to be adopted as a routine practice for optimal use of resources and elimination of out-of-stock and over stock situations in the hospital and private pharmacy.
Keywords: Pharmacy Supply Chain; Inventory Management System; Stock Outs; Overstock; IT Support in Pharmacy; correlation analysis; Inventory analysis.