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Profit oriented supply chain network optimization

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  • Turan Paksoy
  • Eren Özceylan
  • Gerhard-Wilhelm Weber

Abstract

This paper proposes a novel mixed integer linear programming model to solve a supply chain network design problem. The proposed model deals with major issues for supply chains; product quality and cost. These issues are usually solved separately, but in this paper, we investigate effects of product quality on supply chain design and transportation flow. A trade-off between raw material quality, its purchasing and reprocessing costs was considered. Assuming decision maker (DM) wishes to work with a supplier which serves a low quality raw material; this raw material should be in need of reprocessing. To avoid the reprocessing costs, a supplier which serves a high quality raw material should be chosen but at this time the DM has to face a high purchasing cost. A supply chain network which consists of multiple suppliers, manufacturers, distribution centers and retailers is tried to be designed to accomplish aforementioned above trade-offs. The paper examines and discusses the relationship between product quality and supply chain design and offers several managerial insights. Copyright Springer-Verlag 2013

Suggested Citation

  • Turan Paksoy & Eren Özceylan & Gerhard-Wilhelm Weber, 2013. "Profit oriented supply chain network optimization," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 21(2), pages 455-478, March.
  • Handle: RePEc:spr:cejnor:v:21:y:2013:i:2:p:455-478
    DOI: 10.1007/s10100-012-0240-0
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    1. Pyke, David F. & Cohen, Morris A., 1993. "Performance characteristics of stochastic integrated production-distribution systems," European Journal of Operational Research, Elsevier, vol. 68(1), pages 23-48, July.
    2. Jayaraman, Vaidyanathan & Ross, Anthony, 2003. "A simulated annealing methodology to distribution network design and management," European Journal of Operational Research, Elsevier, vol. 144(3), pages 629-645, February.
    3. Singer, Marcos & Donoso, Patricio & Traverso, Pedro, 2003. "Quality strategies in supply chain alliances of disposable items," Omega, Elsevier, vol. 31(6), pages 499-509, December.
    4. Petrovic, Dobrila & Roy, Rajat & Petrovic, Radivoj, 1999. "Supply chain modelling using fuzzy sets," International Journal of Production Economics, Elsevier, vol. 59(1-3), pages 443-453, March.
    5. Sabri, Ehap H. & Beamon, Benita M., 2000. "A multi-objective approach to simultaneous strategic and operational planning in supply chain design," Omega, Elsevier, vol. 28(5), pages 581-598, October.
    6. Persson, Fredrik & Olhager, Jan, 2002. "Performance simulation of supply chain designs," International Journal of Production Economics, Elsevier, vol. 77(3), pages 231-245, June.
    7. Pokharel, Shaligram, 2008. "A two objective model for decision making in a supply chain," International Journal of Production Economics, Elsevier, vol. 111(2), pages 378-388, February.
    8. Azaron, A. & Brown, K.N. & Tarim, S.A. & Modarres, M., 2008. "A multi-objective stochastic programming approach for supply chain design considering risk," International Journal of Production Economics, Elsevier, vol. 116(1), pages 129-138, November.
    9. Mula, Josefa & Peidro, David & Díaz-Madroñero, Manuel & Vicens, Eduardo, 2010. "Mathematical programming models for supply chain production and transport planning," European Journal of Operational Research, Elsevier, vol. 204(3), pages 377-390, August.
    10. Ganeshan, Ram & Boone, Tonya & Stenger, Alan J., 2001. "The impact of inventory and flow planning parameters on supply chain performance: An exploratory study," International Journal of Production Economics, Elsevier, vol. 71(1-3), pages 111-118, May.
    11. Tsao, Yu-Chung & Lu, Jye-Chyi, 2012. "A supply chain network design considering transportation cost discounts," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 48(2), pages 401-414.
    12. Stratton, Roy & Warburton, Roger D.H., 2006. "Managing the trade-off implications of global supply," International Journal of Production Economics, Elsevier, vol. 103(2), pages 667-679, October.
    13. Franca, Rodrigo B. & Jones, Erick C. & Richards, Casey N. & Carlson, Jonathan P., 2010. "Multi-objective stochastic supply chain modeling to evaluate tradeoffs between profit and quality," International Journal of Production Economics, Elsevier, vol. 127(2), pages 292-299, October.
    14. Gheidar Kheljani, J. & Ghodsypour, S.H. & O'Brien, C., 2009. "Optimizing whole supply chain benefit versus buyer's benefit through supplier selection," International Journal of Production Economics, Elsevier, vol. 121(2), pages 482-493, October.
    15. Jayaraman, Vaidyanathan & Pirkul, Hasan, 2001. "Planning and coordination of production and distribution facilities for multiple commodities," European Journal of Operational Research, Elsevier, vol. 133(2), pages 394-408, January.
    16. Farahani, Reza Zanjirani & Elahipanah, Mahsa, 2008. "A genetic algorithm to optimize the total cost and service level for just-in-time distribution in a supply chain," International Journal of Production Economics, Elsevier, vol. 111(2), pages 229-243, February.
    17. Black, Fischer & Scholes, Myron S, 1973. "The Pricing of Options and Corporate Liabilities," Journal of Political Economy, University of Chicago Press, vol. 81(3), pages 637-654, May-June.
    18. Ozdamar, Linet & Yazgac, Tulin, 1997. "Capacity driven due date settings in make-to-order production systems," International Journal of Production Economics, Elsevier, vol. 49(1), pages 29-44, March.
    19. F. Jolai & J. Razmi & N. Rostami, 2011. "A fuzzy goal programming and meta heuristic algorithms for solving integrated production: distribution planning problem," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 19(4), pages 547-569, December.
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    2. Sayan Chakraborty & Akshat Jain & S. P. Sarmah, 2022. "An integrated mathematical model based on grey optimal ranking for supplier selection considering pandemic situation," OPSEARCH, Springer;Operational Research Society of India, vol. 59(4), pages 1613-1648, December.
    3. Aalaei, Amin & Davoudpour, Hamid, 2017. "A robust optimization model for cellular manufacturing system into supply chain management," International Journal of Production Economics, Elsevier, vol. 183(PC), pages 667-679.
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