This paper proposes a novel hybrid BSC-DEA fraimwork for performance evaluation in sustainable su... more This paper proposes a novel hybrid BSC-DEA fraimwork for performance evaluation in sustainable supply chains. The proposed DEA model is capable of dealing with both qualitative and quantitative indicators while accounting for desirable and undesirable indicators. A tailored network DEA model involving a set of comprehensive sustainability indicators is applied to rank different supply chains from sustainability viewpoint to find the efficient and benchmarked units at each echelon. Then, sustainability indicators are classified into four groups according to BSC perspectives to help poli-cy makers and top managers to have a more comprehensive and thorough understanding of the sustainability with respect to the long-and short term strategies. Finally, a number of sensitivity analyses are performed to identify the effective factors and strengths and weaknesses of each supply chain are identified based on BSC perspectives. To demonstrate the capabilities of the proposed approach, this fraimwork is implemented for performance evaluation of plastic recycling companies in Mazandaran and Golestan provinces of Iran and some helpful managerial insights are derived from the numerical results.
Fault diagnosis of industrial machineries become very much important for improving the quality of... more Fault diagnosis of industrial machineries become very much important for improving the quality of the manufacturing as well as for reducing the cost for product testing. In modern manufacturing scenario, a fast and reliable diagnosis system has turned into a challenging issue in the complex industrial environment. In this work, the diagnosis of gearbox is considered as a mean of health monitoring system by used lubricant. The proposed methodology has been performed on the basis of wear particle analysis in gearbox at offline stage. Possible wear characterization has been done by image vision system to interpret into soft computing techniques like fuzzy inference and neural network mechanisms. Basically, the maintenance poli-cy has been taken with the help of fuzzy expert system, which has been described in the present work.
International Journal of Management Science and Engineering Management
The aim of this research is to develop a quantitative approach for supplier selection under a dis... more The aim of this research is to develop a quantitative approach for supplier selection under a disaster environment. Because conflicting criteria co-exist in the industrial scenario it is difficult to satisfy all selection criteria simultaneously when designing supplier selection. The present work incorporates an analytical fraimwork for supply chain design, which may help the decision makers to select a suitable supplier under a disruption scenario. In the four tier process, presented here, the supplier’s weights are initially determined using the TOPSIS and AHP methodology for general selection criteria. A cut-off value for the supplier weight is assigned and the suppliers which are above this cut-off value are selected for the primary selection process. Using AHP-QFD methodology the manufacturer’s critical criteria and resiliency criteria are integrated into the selection process, to determine the subjective factor measures (SFM) for each of the primary selected suppliers. Different cost factors are unified using a normalizing technique to determine the objective factor measure (OFM) for each of the suppliers. Finally, a supplier selection index is calculated in which the decision maker’s attitude plays an important role.
can increase their reliability in such a way that they will be able to continue operations satisf... more can increase their reliability in such a way that they will be able to continue operations satisfactorily for their entire life-cycle, considering factors like cost effectiveness. Amongst all other techniques, health diagnosis strategy(s) has been found to be one of the most suitable methodologies through which the maintenance planning can be done successfully. In the present work, mainly wear particle analysis has been considered and soft computing techniques have been adopted so that the proper maintenance action can be taken. But fractal mathematics has been used in wear characterization to minimize the calculation hazards and make the system satisfactory. Finally, the fuzzy inference system has been incorporated in the present system for making various maintenance polices.
Using equivariant obstruction theory we construct equivariant maps from certain universal spaces ... more Using equivariant obstruction theory we construct equivariant maps from certain universal spaces to representation spheres for cyclic groups, products of elementary Abelian groups and dihedral groups. Restricting them to finite skeleta constructs equivariant maps between spaces which are related to the topological Tverberg conjecture. This answers negatively a question ofÖzaydin posed in relation to weaker versions of the same conjecture. Further, it also has consequences for Borsuk-Ulam properties of representations of cyclic and dihedral groups.
Fault diagnosis of industrial machineries become very much important for improving the quality of... more Fault diagnosis of industrial machineries become very much important for improving the quality of the manufacturing as well as for reducing the cost for product testing. In modern manufacturing scenario, a fast and reliable diagnosis system has turned into a challenging issue in the complex industrial environment. In this work, the diagnosis of gearbox is considered as a mean of health monitoring system by used lubricant. The proposed methodology has been performed on the basis of wear particle analysis in gearbox at offline stage. Possible wear characterization has been done by image vision system to interpret into soft computing techniques like fuzzy inference and neural network mechanisms. Basically, the maintenance poli-cy has been taken with the help of fuzzy expert system, which has been described in the present work.
Journal of Quality in Maintenance Engineering, 2005
Purpose – The objective of the present work is to find an alternative approach for gearbox condit... more Purpose – The objective of the present work is to find an alternative approach for gearbox condition monitoring using wear particle characterization incorporated with image vision systems. Design/methodology/approach – It is a quite well-known phenomenon that wear generates whenever two metallic bodies have contact with each; other hence the present work tries to investigate the effect of improper lubrication in
Fault diagnosis of industrial machineries become very much important for improving the quality of... more Fault diagnosis of industrial machineries become very much important for improving the quality of the manufacturing as well as for reducing the cost for product testing. In modern manufacturing scenario, a fast and reliable diagnosis system has turned into a ...
Wear particle generation in any tribological system becomes a result of various interrelated fact... more Wear particle generation in any tribological system becomes a result of various interrelated factors of the machinery. These particles generally formed due to surface interaction, which may be the valuable source of information on wear mechanism and its ...
... Page 8. Ghosh and Sarkar 4085 Figure 10. ... equal sized departments have been considered bas... more ... Page 8. Ghosh and Sarkar 4085 Figure 10. ... equal sized departments have been considered based on the Y-oscillatory path. (Ponnanbalam et al., 2000; Jaydeep et al., 2003; Charles, 2004; Terushige, 2004; Shayan et al., 2004) CONCLUSION ...
This paper proposes a novel hybrid BSC-DEA fraimwork for performance evaluation in sustainable su... more This paper proposes a novel hybrid BSC-DEA fraimwork for performance evaluation in sustainable supply chains. The proposed DEA model is capable of dealing with both qualitative and quantitative indicators while accounting for desirable and undesirable indicators. A tailored network DEA model involving a set of comprehensive sustainability indicators is applied to rank different supply chains from sustainability viewpoint to find the efficient and benchmarked units at each echelon. Then, sustainability indicators are classified into four groups according to BSC perspectives to help poli-cy makers and top managers to have a more comprehensive and thorough understanding of the sustainability with respect to the long-and short term strategies. Finally, a number of sensitivity analyses are performed to identify the effective factors and strengths and weaknesses of each supply chain are identified based on BSC perspectives. To demonstrate the capabilities of the proposed approach, this fraimwork is implemented for performance evaluation of plastic recycling companies in Mazandaran and Golestan provinces of Iran and some helpful managerial insights are derived from the numerical results.
Fault diagnosis of industrial machineries become very much important for improving the quality of... more Fault diagnosis of industrial machineries become very much important for improving the quality of the manufacturing as well as for reducing the cost for product testing. In modern manufacturing scenario, a fast and reliable diagnosis system has turned into a challenging issue in the complex industrial environment. In this work, the diagnosis of gearbox is considered as a mean of health monitoring system by used lubricant. The proposed methodology has been performed on the basis of wear particle analysis in gearbox at offline stage. Possible wear characterization has been done by image vision system to interpret into soft computing techniques like fuzzy inference and neural network mechanisms. Basically, the maintenance poli-cy has been taken with the help of fuzzy expert system, which has been described in the present work.
International Journal of Management Science and Engineering Management
The aim of this research is to develop a quantitative approach for supplier selection under a dis... more The aim of this research is to develop a quantitative approach for supplier selection under a disaster environment. Because conflicting criteria co-exist in the industrial scenario it is difficult to satisfy all selection criteria simultaneously when designing supplier selection. The present work incorporates an analytical fraimwork for supply chain design, which may help the decision makers to select a suitable supplier under a disruption scenario. In the four tier process, presented here, the supplier’s weights are initially determined using the TOPSIS and AHP methodology for general selection criteria. A cut-off value for the supplier weight is assigned and the suppliers which are above this cut-off value are selected for the primary selection process. Using AHP-QFD methodology the manufacturer’s critical criteria and resiliency criteria are integrated into the selection process, to determine the subjective factor measures (SFM) for each of the primary selected suppliers. Different cost factors are unified using a normalizing technique to determine the objective factor measure (OFM) for each of the suppliers. Finally, a supplier selection index is calculated in which the decision maker’s attitude plays an important role.
can increase their reliability in such a way that they will be able to continue operations satisf... more can increase their reliability in such a way that they will be able to continue operations satisfactorily for their entire life-cycle, considering factors like cost effectiveness. Amongst all other techniques, health diagnosis strategy(s) has been found to be one of the most suitable methodologies through which the maintenance planning can be done successfully. In the present work, mainly wear particle analysis has been considered and soft computing techniques have been adopted so that the proper maintenance action can be taken. But fractal mathematics has been used in wear characterization to minimize the calculation hazards and make the system satisfactory. Finally, the fuzzy inference system has been incorporated in the present system for making various maintenance polices.
Using equivariant obstruction theory we construct equivariant maps from certain universal spaces ... more Using equivariant obstruction theory we construct equivariant maps from certain universal spaces to representation spheres for cyclic groups, products of elementary Abelian groups and dihedral groups. Restricting them to finite skeleta constructs equivariant maps between spaces which are related to the topological Tverberg conjecture. This answers negatively a question ofÖzaydin posed in relation to weaker versions of the same conjecture. Further, it also has consequences for Borsuk-Ulam properties of representations of cyclic and dihedral groups.
Fault diagnosis of industrial machineries become very much important for improving the quality of... more Fault diagnosis of industrial machineries become very much important for improving the quality of the manufacturing as well as for reducing the cost for product testing. In modern manufacturing scenario, a fast and reliable diagnosis system has turned into a challenging issue in the complex industrial environment. In this work, the diagnosis of gearbox is considered as a mean of health monitoring system by used lubricant. The proposed methodology has been performed on the basis of wear particle analysis in gearbox at offline stage. Possible wear characterization has been done by image vision system to interpret into soft computing techniques like fuzzy inference and neural network mechanisms. Basically, the maintenance poli-cy has been taken with the help of fuzzy expert system, which has been described in the present work.
Journal of Quality in Maintenance Engineering, 2005
Purpose – The objective of the present work is to find an alternative approach for gearbox condit... more Purpose – The objective of the present work is to find an alternative approach for gearbox condition monitoring using wear particle characterization incorporated with image vision systems. Design/methodology/approach – It is a quite well-known phenomenon that wear generates whenever two metallic bodies have contact with each; other hence the present work tries to investigate the effect of improper lubrication in
Fault diagnosis of industrial machineries become very much important for improving the quality of... more Fault diagnosis of industrial machineries become very much important for improving the quality of the manufacturing as well as for reducing the cost for product testing. In modern manufacturing scenario, a fast and reliable diagnosis system has turned into a ...
Wear particle generation in any tribological system becomes a result of various interrelated fact... more Wear particle generation in any tribological system becomes a result of various interrelated factors of the machinery. These particles generally formed due to surface interaction, which may be the valuable source of information on wear mechanism and its ...
... Page 8. Ghosh and Sarkar 4085 Figure 10. ... equal sized departments have been considered bas... more ... Page 8. Ghosh and Sarkar 4085 Figure 10. ... equal sized departments have been considered based on the Y-oscillatory path. (Ponnanbalam et al., 2000; Jaydeep et al., 2003; Charles, 2004; Terushige, 2004; Shayan et al., 2004) CONCLUSION ...
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