Abstract
A product recovery management deal with the collection of post consumed and discarded products and explores the possibilities to remanufacture the items, reuse the components or recycle the materials from end of life items. Multi-objective Decision Making (MODM) methods can be applied to analyze the trade-offs between environmental concerns and associated economic sustainability of closed loop supply chain integration into the existing forward supply chain infrastructure. In this paper the proposed mathematical model based on two objectives, namely maximization of the total profit through remanufacturing operation and minimization of the dumping waste of post consumed products which amount to maximization of the recycling rate. We have analyzed the effect of re-usable ratio and disposal ratio effect on the contrasting objectives of the model under various scenarios of product life cycle of the remanufacturable products.
Keywords
References
- Chany, Ni-Bin and Wang, S. F., Integrated Analysis of recycling and Incineration programs by goal programming techniques, Waste Management & Research, 15, 121-136, 1997. Dillon, P. S., Mandated electronics equipment recycling in Europe: implications for companies and U.S. public policy, International symposium on Electronics & the Environment, pp.15-20, 1994. Fiksel, J, and Wapman, K., How to design for environment and minimize Life cycle cost, IEEE Symposium on Electronics and the Environment, San Francisco, CA, May 1994. Guide, Jr., V. D. R. and Srivastava, R., Buffering from material recovery uncertainty in a recoverable manufacturing environment, Journal of the Operational Research Society, 48, 519-529, 1997. Guide, Jr., V. D. R. and Srivastava, R. and Spencer, M.S., Are production systems ready for the green revolution?, Production and Inventory Management Journal, Fourth quarter, 70-76, 1996 Gupta, S. M., and Taleb, K. N., Scheduling disassembly, International Journal of Production Research, Vol.32, No.8, 1857-1866, 1994. Gupta, S. M., and Taleb, K. N., An algorithm to disassemble multiple product structures with multiple occurrence of parts, Proceedings of the International Seminar on Reuse, Eindhoven, The Netherlands, November 11-13, 153-162, 1996. Hoshino, T., Yura, K. and Hitomi, K., Optimization analysis for recycle-oriented manufacturing systems, International Journal of Production Research, Vol.33, No.8, 2069-2078, 1995. Ignizio, J. P., Goal Programming and Extensions. Lexington, USA: Lexington Books, 1976. Ilgin, M.A., Gupta, S. M. and Battaia, O., Use of MCDM techniques in environmentally conscious manufacturing and product recovery: State of the art, Journal of Manufacturing Systems, 746-758, 2015. Kirby, J. R. and D. Pitts, Resource recovery strategies for end-of-life business machines, International symposium on Electronics & the Environment, 167-170, 1994. Ozkır V, Basligil H., Multi-objective optimization of closed-loop supply chains in uncertain environment, Journal of Cleaner Production, Vol.41, 114–125, 2013. Samanlioglu F., A multi-objective mathematical model for the industrial haz-ardous waste location-routing problem, European Journal of Operations Research, Vol. 226, No.2, 332–340. 2013. Taleb, K. N., Gupta, S. M., and Brennan, L., Disassembly of complex products with parts and materials commonality, Production Planning and Control, Vol.8, No.3, 1997. Wang F., Lai X. and Shi. N., A multi-objective optimization for green supply chain network design, Decision Support Systems, Vol. 51, No. 2, 262-269, 2011.
Abstract
A product recovery management deal with the collection of post consumed and discarded products and explores the possibilities to remanufacture the items, reuse the components or recycle the materials from end of life items. Multi-objective Decision Making (MODM) methods can be applied to analyze the trade-offs between environmental concerns and associated economic sustainability of closed loop supply chain integration into the existing forward supply chain infrastructure. In this paper the proposed mathematical model based on two objectives, namely maximization of the total profit through remanufacturing operation and minimization of the dumping waste of post consumed products which amount to maximization of the recycling rate. We have analyzed the effect of re-usable ratio and disposal ratio effect on the contrasting objectives of the model under various scenarios of product life cycle of the remanufacturable products.
Keywords
References
- Chany, Ni-Bin and Wang, S. F., Integrated Analysis of recycling and Incineration programs by goal programming techniques, Waste Management & Research, 15, 121-136, 1997. Dillon, P. S., Mandated electronics equipment recycling in Europe: implications for companies and U.S. public policy, International symposium on Electronics & the Environment, pp.15-20, 1994. Fiksel, J, and Wapman, K., How to design for environment and minimize Life cycle cost, IEEE Symposium on Electronics and the Environment, San Francisco, CA, May 1994. Guide, Jr., V. D. R. and Srivastava, R., Buffering from material recovery uncertainty in a recoverable manufacturing environment, Journal of the Operational Research Society, 48, 519-529, 1997. Guide, Jr., V. D. R. and Srivastava, R. and Spencer, M.S., Are production systems ready for the green revolution?, Production and Inventory Management Journal, Fourth quarter, 70-76, 1996 Gupta, S. M., and Taleb, K. N., Scheduling disassembly, International Journal of Production Research, Vol.32, No.8, 1857-1866, 1994. Gupta, S. M., and Taleb, K. N., An algorithm to disassemble multiple product structures with multiple occurrence of parts, Proceedings of the International Seminar on Reuse, Eindhoven, The Netherlands, November 11-13, 153-162, 1996. Hoshino, T., Yura, K. and Hitomi, K., Optimization analysis for recycle-oriented manufacturing systems, International Journal of Production Research, Vol.33, No.8, 2069-2078, 1995. Ignizio, J. P., Goal Programming and Extensions. Lexington, USA: Lexington Books, 1976. Ilgin, M.A., Gupta, S. M. and Battaia, O., Use of MCDM techniques in environmentally conscious manufacturing and product recovery: State of the art, Journal of Manufacturing Systems, 746-758, 2015. Kirby, J. R. and D. Pitts, Resource recovery strategies for end-of-life business machines, International symposium on Electronics & the Environment, 167-170, 1994. Ozkır V, Basligil H., Multi-objective optimization of closed-loop supply chains in uncertain environment, Journal of Cleaner Production, Vol.41, 114–125, 2013. Samanlioglu F., A multi-objective mathematical model for the industrial haz-ardous waste location-routing problem, European Journal of Operations Research, Vol. 226, No.2, 332–340. 2013. Taleb, K. N., Gupta, S. M., and Brennan, L., Disassembly of complex products with parts and materials commonality, Production Planning and Control, Vol.8, No.3, 1997. Wang F., Lai X. and Shi. N., A multi-objective optimization for green supply chain network design, Decision Support Systems, Vol. 51, No. 2, 262-269, 2011.
Details
| Primary Language | English |
|---|---|
| Subjects | Statistics |
| Journal Section | Articles |
| Authors | |
| Publication Date | December 31, 2019 |
| Published in Issue | Year 2019 Volume: 1 Issue: 2 |
