Template-Type: ReDIF-Article 1.0 Author-Name: Yosef Daryanto Author-X-Name-First: Yosef Author-X-Name-Last: Daryanto Author-Name: Hui-Ming Wee Author-X-Name-First: Hui-Ming Author-X-Name-Last: Wee Author-Name: Kuo-Hsing Wu Author-X-Name-First: Kuo-Hsing Author-X-Name-Last: Wu Title: Revisiting sustainable EOQ model considering carbon emission Abstract: From our review on sustainable EOQ inventory models, most researchers did not include carbon emission in the objective function or constraint. In this study, we enrich recent research by incorporating sustainability criteria into the inventory model. The study develops an EOQ model by considering carbon emission that comes from transportation and warehouse operations. Moreover, we also consider imperfect quality items and assume complete backordering. A numerical example has been provided and it is shown that our model results in a higher expected total profit per unit time. Journal: Int. J. of Manufacturing Technology and Management Pages: 1-11 Issue: 1 Volume: 35 Year: 2021 Keywords: sustainable EOQ; carbon emission; imperfect quality; complete backordering. File-URL: http://www.inderscience.com/link.php?id=114697 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijmtma:v:35:y:2021:i:1:p:1-11 Template-Type: ReDIF-Article 1.0 Author-Name: S. Muniraj Author-X-Name-First: S. Author-X-Name-Last: Muniraj Author-Name: N. Muthukrishnan Author-X-Name-First: N. Author-X-Name-Last: Muthukrishnan Title: Modelling and analysis on influential machining parameters of 38MnSiVS5 micro alloyed steel by D-optimal design 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 1,600 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 modelling 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. Journal: Int. J. of Manufacturing Technology and Management Pages: 12-33 Issue: 1 Volume: 35 Year: 2021 Keywords: analysis of variance; ANOVA; cutting force; D-optimal method; K20 insert; micro alloyed steel; MAS; surface roughness. File-URL: http://www.inderscience.com/link.php?id=114698 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijmtma:v:35:y:2021:i:1:p:12-33 Template-Type: ReDIF-Article 1.0 Author-Name: Selvaraj Manickam Author-X-Name-First: Selvaraj Author-X-Name-Last: Manickam Author-Name: P. Senthilkumar Author-X-Name-First: P. Author-X-Name-Last: Senthilkumar Title: Prediction of performance and emission characteristics of biodiesel microexplosion process in CI engine by utilising NN-IABC approach Abstract: The world is getting modernised and industrialised step by step. Utilisation of traditional diesel fuel causes a difficult issue of air contamination and consequences for the earth prompting impact like nursery, few consider diesel fuel brings about high discharge in diesel motor. In this paper, it propose a Jatropha biodiesel, which can be utilised 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 miniaturised scale blast handle with different loads and weight. The test consequences of SFC, SEC, TFC, BP, BTE and fumes temperature and additionally CO<SUB align="right"><SMALL>2</SMALL></SUB>, O<SUB align="right"><SMALL>2</SMALL></SUB>, 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. Journal: Int. J. of Manufacturing Technology and Management Pages: 34-50 Issue: 1 Volume: 35 Year: 2021 Keywords: biodiesel; compression ignition engine; microexplosion; neural network; improved artificial bee colony; IABC. File-URL: http://www.inderscience.com/link.php?id=114699 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijmtma:v:35:y:2021:i:1:p:34-50 Template-Type: ReDIF-Article 1.0 Author-Name: Z. Brijet Author-X-Name-First: Z. Author-X-Name-Last: Brijet Author-Name: N. Bharathi Author-X-Name-First: N. Author-X-Name-Last: Bharathi Title: Design of type-2 fuzzy logic controller for fluid catalytic cracking unit Abstract: Modelling 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 behaviour 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, centralised Mamdani types T1-FLC and T2-FLC have been designed for FCCU to control the reactor and regenerator temperature (RT). 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 analysed. The comparative study of these two control schemes reveals that the type-2 FLC gives better performance than type-1 FLC. Journal: Int. J. of Manufacturing Technology and Management Pages: 51-68 Issue: 1 Volume: 35 Year: 2021 Keywords: fuzzy logic; intelligent control; reactor; regenerator; fluid catalytic cracking unit; FCCU. File-URL: http://www.inderscience.com/link.php?id=114700 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijmtma:v:35:y:2021:i:1:p:51-68 Template-Type: ReDIF-Article 1.0 Author-Name: Qian Sun Author-X-Name-First: Qian Author-X-Name-Last: Sun Author-Name: Renyong Hou Author-X-Name-First: Renyong Author-X-Name-Last: Hou Author-Name: Gebremichael S. Hailekiros Author-X-Name-First: Gebremichael S. Author-X-Name-Last: Hailekiros Title: Dual-network embeddedness, absorptive capacity, and enterprise innovation performance: evidence from the Chinese hi-tech manufacturing industry 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. Journal: Int. J. of Manufacturing Technology and Management Pages: 69-88 Issue: 1 Volume: 35 Year: 2021 Keywords: network embeddedness; enterprise innovation performance; absorptive capacity; value chain; knowledge chain; hi-tech manufacturing industry. File-URL: http://www.inderscience.com/link.php?id=114701 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijmtma:v:35:y:2021:i:1:p:69-88 Template-Type: ReDIF-Article 1.0 Author-Name: Zhongkai Mo Author-X-Name-First: Zhongkai Author-X-Name-Last: Mo Author-Name: Chunyan Zhao Author-X-Name-First: Chunyan Author-X-Name-Last: Zhao Title: Dynamic cost evaluation method of intelligent manufacturing enterprises based on DEA model Abstract: Aiming at the problems of low economic benefit and high dynamic cost consumption in intelligent manufacturing enterprises, a DEA model based dynamic cost evaluation method for intelligent manufacturing enterprises is proposed. This method establishes DEA cost evaluation model by selecting decision unit, cost evaluation interval and evaluation index. The model calculates the total input cost according to the operation sequence of intelligent manufacturing enterprises and updates the dynamic cost in real time by analysing the influencing factors of cost consumption. Finally, relevant data is substituted into the cost evaluation based on DEA model and compared with the established evaluation standard to obtain the dynamic cost evaluation results of intelligent manufacturing enterprises. The experimental results show that the dynamic cost evaluation method based on DEA model can effectively save more than 40% of the cost consumption, and the error value of cost evaluation is reduced by 0.1188. Journal: Int. J. of Manufacturing Technology and Management Pages: 181-199 Issue: 3 Volume: 35 Year: 2021 Keywords: DEA model; intelligent manufacturing; manufacturing enterprise; dynamic cost; cost evaluation. File-URL: http://www.inderscience.com/link.php?id=118802 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijmtma:v:35:y:2021:i:3:p:181-199 Template-Type: ReDIF-Article 1.0 Author-Name: Meijie Shang Author-X-Name-First: Meijie Author-X-Name-Last: Shang Author-Name: Jieming Zhang Author-X-Name-First: Jieming Author-X-Name-Last: Zhang Author-Name: Fangyuan Han Author-X-Name-First: Fangyuan Author-X-Name-Last: Han Author-Name: Min Yu Author-X-Name-First: Min Author-X-Name-Last: Yu Title: Monitoring of data grabbing by multi-sensor parallel robot based on visual screening Abstract: In order to overcome the problems of low monitoring accuracy and efficiency in the existing monitoring methods of grab data, a new monitoring method of grab data of multi-sensor parallel robot based on visual screening is proposed. Multi-sensor data fusion is used to identify the robot's pose. Based on visual screening technology, FH visual processing module is constructed by using FH visual controller, camera and LED light source, with the camera connection completed by using fz-vs camera line and FH visual controller. Transfer data information such as workpiece type coordinates to the NJ controller. The controller uses the network and servo driver to connect, and combines the robot pose detection results to realise the robot grasping data control. The experimental results show that this method has high monitoring accuracy and efficiency, and the shortest monitoring time is only 21 s. Journal: Int. J. of Manufacturing Technology and Management Pages: 200-217 Issue: 3 Volume: 35 Year: 2021 Keywords: visual screening; multi-sensor; parallel robot; grab; monitoring. File-URL: http://www.inderscience.com/link.php?id=118803 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijmtma:v:35:y:2021:i:3:p:200-217 Template-Type: ReDIF-Article 1.0 Author-Name: Junru Wang Author-X-Name-First: Junru Author-X-Name-Last: Wang Title: An obstacle avoidance trajectory control method for intelligent robot based on K decision tree Abstract: In order to overcome the problem that the existing trajectory control methods of robot avoiding obstacles do not recognise the position and pose of the target, which have large control error, this paper proposes the research of trajectory control method of intelligent robot avoiding obstacles based on K decision tree. The robot motion model and the ultrasonic sensor observation model are established, and the self positioning coordinates are obtained. K-decision tree algorithm is used to extract the visual features of point cloud, build database, target recognition, etc. to achieve the trajectory control of robot obstacle avoidance. The experimental results show that the control accuracy of the proposed method is strong and it is a reliable obstacle avoidance control method for robot. Journal: Int. J. of Manufacturing Technology and Management Pages: 218-233 Issue: 3 Volume: 35 Year: 2021 Keywords: K decision tree; intelligent robot; obstacle avoidance; trajectory control. File-URL: http://www.inderscience.com/link.php?id=118804 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijmtma:v:35:y:2021:i:3:p:218-233 Template-Type: ReDIF-Article 1.0 Author-Name: Liu Liu Author-X-Name-First: Liu Author-X-Name-Last: Liu Author-Name: Xiangli Xu Author-X-Name-First: Xiangli Author-X-Name-Last: Xu Title: Research on distributed logistics scheduling method for workshop production based on hybrid particle swarm optimisation Abstract: In order to overcome the problem of fuzzy priority of distributed logistics scheduling, this paper proposes a distributed scheduling method for workshop production logistics based on hybrid particle swarm optimisation. This method introduces radio frequency identification (RFID) technology designs, analyses RFID application structure, and collects production process data of the workshop. Based on the satisfaction of task completion time and delivery time, total production input cost, and equipment utilisation, etc. the optimal construction logistics distributed scheduling model is constructed, and the particle swarm algorithm and genetic algorithm are used to solve the target model, and the particle position. The sequence of the strings in the vector is described as the scheduling priority. The decision-making layer selects the best scheduling solution based on actual requirements. Experimental results show that this method can effectively control the cost and time of scheduling, and its performance is better than the current method. Journal: Int. J. of Manufacturing Technology and Management Pages: 234-250 Issue: 3 Volume: 35 Year: 2021 Keywords: workshop production; logistics; distributed scheduling; intelligent manufacturing. File-URL: http://www.inderscience.com/link.php?id=118805 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijmtma:v:35:y:2021:i:3:p:234-250 Template-Type: ReDIF-Article 1.0 Author-Name: Li Ding Author-X-Name-First: Li Author-X-Name-Last: Ding Title: Research on the invulnerability of cross-border bidirectional logistics network in e-commerce supply chain Abstract: In order to improve the security of cross-border bidirectional logistics network in e-commerce supply chain, this paper proposes a research method for the invulnerability of cross-border bidirectional logistics network in e-commerce supply chain. This paper builds a cross-border two-way electricity supply chain logistics network model, that analyses the cross-border two-way electricity supply chain logistics network's anti-destroying ability of network security, network loss degree and average benefit evaluation indexes through the index variation characteristics that describe the network invulnerability, and cross-border development of two-way logistics network attack strategy on the impact of network invulnerability. Through experimental analysis, it is found that the anti-destruction analysis time of the method in this paper is always lower than 5.83 s, with the shortest time, and the analysis accuracy is always above 98.26%, with high accuracy, which can effectively resist the cross-border two-way logistics network attack of the e-commerce supply chain and improve the network security. Journal: Int. J. of Manufacturing Technology and Management Pages: 251-270 Issue: 3 Volume: 35 Year: 2021 Keywords: e-commerce; supply chain; cross-border; bidirectional logistics; network; invulnerability. File-URL: http://www.inderscience.com/link.php?id=118806 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijmtma:v:35:y:2021:i:3:p:251-270 Template-Type: ReDIF-Article 1.0 Author-Name: Xin Zhang Author-X-Name-First: Xin Author-X-Name-Last: Zhang Title: Economic benefit evaluation modelling of intelligent manufacturing enterprises based on entropy value method Abstract: In order to overcome the problems of low efficiency, low accuracy and high cost existing in the traditional evaluation model, this paper proposes a new economic benefit evaluation model of intelligent manufacturing enterprise based on entropy method. This paper determines the principles, ideas and specific contents of the evaluation index of the economic benefits of intelligent manufacturing enterprises, and completes the construction of the evaluation index system. In this paper, entropy method is used to build an evaluation model of the economic benefits of intelligent manufacturing enterprises from four different dimensions, i.e., innovation input capability, innovation output capability, innovation configuration capability and innovation support capability of intelligent manufacturing enterprises. Entropy method is used to process the model data to obtain the final evaluation results of the economic benefits of intelligent manufacturing enterprises. The experimental results show that the proposed model has high evaluation accuracy and low evaluation delay, with the highest accuracy of 99.97%. Journal: Int. J. of Manufacturing Technology and Management Pages: 271-285 Issue: 3 Volume: 35 Year: 2021 Keywords: entropy value method; intelligent manufacturing enterprise; economic benefit; evaluation modelling. File-URL: http://www.inderscience.com/link.php?id=118807 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijmtma:v:35:y:2021:i:3:p:271-285 Template-Type: ReDIF-Article 1.0 Author-Name: Prabhu Dubey Author-X-Name-First: Prabhu Author-X-Name-Last: Dubey Author-Name: Prashant Chauhan Author-X-Name-First: Prashant Author-X-Name-Last: Chauhan Author-Name: Prashant Shekhar Author-X-Name-First: Prashant Author-X-Name-Last: Shekhar Author-Name: Prakhar Agarwal Author-X-Name-First: Prakhar Author-X-Name-Last: Agarwal Author-Name: Paras Sharma Author-X-Name-First: Paras Author-X-Name-Last: Sharma Title: Quantisation of driving enablers enabling transition from traditional to flexible manufacturing system 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) government's cooperation. Various statistical techniques were used to verify, validate and test the reliability of the hypothesis and their sub-dimensions. Results of structural equation modelling (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). Journal: Int. J. of Manufacturing Technology and Management Pages: 89-108 Issue: 2 Volume: 35 Year: 2021 Keywords: top level management; TLM; clear vision; support from government; SFG; structural equation modelling; SEM. File-URL: http://www.inderscience.com/link.php?id=114753 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijmtma:v:35:y:2021:i:2:p:89-108 Template-Type: ReDIF-Article 1.0 Author-Name: N.K. Kamble Author-X-Name-First: N.K. Author-X-Name-Last: Kamble Author-Name: B.U. Sonawane Author-X-Name-First: B.U. Author-X-Name-Last: Sonawane Author-Name: B.B. Ahuja Author-X-Name-First: B.B. Author-X-Name-Last: Ahuja Author-Name: S.S. Sarnobat Author-X-Name-First: S.S. Author-X-Name-Last: Sarnobat Title: Grey-relational analysis for fluid assisted blank holding system in deep drawing process for Al alloy 1050 by using a numerical simulation Abstract: The objectives of this work is to develop a fluid assisted blank (FAB) holding 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 optimisation technique, grey relational analysis has 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. Journal: Int. J. of Manufacturing Technology and Management Pages: 109-126 Issue: 2 Volume: 35 Year: 2021 Keywords: fluid assisted blank; FAB; fluid assisted blank holding system; Al 1050 alloy; ARGUS method; grey relational analysis; FEA simulation LS-DYNA. File-URL: http://www.inderscience.com/link.php?id=114754 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijmtma:v:35:y:2021:i:2:p:109-126 Template-Type: ReDIF-Article 1.0 Author-Name: M. Vishnu Author-X-Name-First: M. Author-X-Name-Last: Vishnu Author-Name: P.G. Saleeshya Author-X-Name-First: P.G. Author-X-Name-Last: Saleeshya Title: Abrasive water jet machining process parameters optimisation for machining of complex profiled component from Inconel 718 super alloys 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 optimisation 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 (AWJM) at the research organisation. In the present work AWJM process parameters are optimised by Taguchi-Grey relational method on dimensions, geometries and surface roughness of complex curved contours. Additionally, the Pareto analysis of variance (ANOVA) 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. Journal: Int. J. of Manufacturing Technology and Management Pages: 127-154 Issue: 2 Volume: 35 Year: 2021 Keywords: Grey relational analysis; abrasive water jet machine; AWJM; complex profile cutting; Inconel 718; Pareto ANOVA. File-URL: http://www.inderscience.com/link.php?id=114755 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijmtma:v:35:y:2021:i:2:p:127-154 Template-Type: ReDIF-Article 1.0 Author-Name: J. Jeha Author-X-Name-First: J. Author-X-Name-Last: Jeha Author-Name: S. Charles Raja Author-X-Name-First: S. Charles Author-X-Name-Last: Raja Title: An adaptive method for improving the dynamic performance of two area power system using CS based neural network Abstract: An adaptive method is the cuckoo search (CS) algorithm between neural networks (NN) are burdened to enhance the steadiness of the summarised two region power scheme illustration and assessed the power producer reactance and inactivity in the transmission demonstration. The originality of the predictable system is to assess and preserve 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 currents on the power transmission demonstration. The anticipated method 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 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. Journal: Int. J. of Manufacturing Technology and Management Pages: 155-179 Issue: 2 Volume: 35 Year: 2021 Keywords: two machine reduced model; dynamic parameters; voltage and current parameters; thyristor controlled series capacitor; TCSC; CS algorithm; NN technique; reactance and inertias. File-URL: http://www.inderscience.com/link.php?id=114756 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijmtma:v:35:y:2021:i:2:p:155-179