Possibilistic linear-programming approach for supply chain networking decisions
Supply chain networking decisions are very important for the medium- and long-term planning success of manufacturing companies. The inputs to supply chain planning models are subject to environmental and system uncertainties. In this paper, a fuzzy set theory-based model is proposed to deal with those uncertainties. For this purpose, a possibilistic linear programming (PLP) model is used to make strategic resource-planning decisions using fuzzy demand forecasts and fuzzy yield rates as well as other inputs such as costs and capacities. The objective of the proposed PLP is to maximize the total profit of the enterprise. The model is applied to Mercedes-Benz Türk, one of the largest bus-manufacturing companies in the world, and conclusions and suggestions for further research are provided.
If you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
As the access to this document is restricted, you may want to look for a different version under "Related research" (further below) or search for a different version of it.
References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- Lakhal, Salem Y., 2006. "An operational profit sharing and transfer pricing model for network-manufacturing companies," European Journal of Operational Research, Elsevier, vol. 175(1), pages 543-565, November.
- Maity, K. & Maiti, M., 2007. "Possibility and necessity constraints and their defuzzification--A multi-item production-inventory scenario via optimal control theory," European Journal of Operational Research, Elsevier, vol. 177(2), pages 882-896, March.
- Petrovic, Dobrila, 2001. "Simulation of supply chain behaviour and performance in an uncertain environment," International Journal of Production Economics, Elsevier, vol. 71(1-3), pages 429-438, May.
- Stanciulescu, C. & Fortemps, Ph. & Installe, M. & Wertz, V., 2003. "Multiobjective fuzzy linear programming problems with fuzzy decision variables," European Journal of Operational Research, Elsevier, vol. 149(3), pages 654-675, September.
- Das, Sanchoy K. & Abdel-Malek, Layek, 2003. "Modeling the flexibility of order quantities and lead-times in supply chains," International Journal of Production Economics, Elsevier, vol. 85(2), pages 171-181, August.
- 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.
- 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.
- Lakhal, Salem & Martel, Alain & Kettani, Ossama & Oral, Muhittin, 2001. "On the optimization of supply chain networking decisions," European Journal of Operational Research, Elsevier, vol. 129(2), pages 259-270, March.
- Wang, Juite & Shu, Yun-Feng, 2007. "A possibilistic decision model for new product supply chain design," European Journal of Operational Research, Elsevier, vol. 177(2), pages 1044-1061, March.
- Schneeweiss, Christoph, 2003. "Distributed decision making--a unified approach," European Journal of Operational Research, Elsevier, vol. 150(2), pages 237-252, October.
- Wang, Reay-Chen & Fang, Hsiao-Hua, 2001. "Aggregate production planning with multiple objectives in a fuzzy environment," European Journal of Operational Research, Elsevier, vol. 133(3), pages 521-536, September.
- Wang, Reay-Chen & Liang, Tien-Fu, 2005. "Applying possibilistic linear programming to aggregate production planning," International Journal of Production Economics, Elsevier, vol. 98(3), pages 328-341, December.
- Gunasekaran, Angappa & Lai, Kee-hung & Edwin Cheng, T.C., 2008. "Responsive supply chain: A competitive strategy in a networked economy," Omega, Elsevier, vol. 36(4), pages 549-564, August.
- Pramanik, Surapati & Roy, Tapan Kumar, 2007. "Fuzzy goal programming approach to multilevel programming problems," European Journal of Operational Research, Elsevier, vol. 176(2), pages 1151-1166, January.
- Fandel, G. & Stammen, M., 2004. "A general model for extended strategic supply chain management with emphasis on product life cycles including development and recycling," International Journal of Production Economics, Elsevier, vol. 89(3), pages 293-308, June.
When requesting a correction, please mention this item's handle: RePEc:eee:ejores:v:209:y:2011:i:3:p:253-264. See general information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Dana Niculescu)
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If references are entirely missing, you can add them using this form.
If the full references list an item that is present in RePEc, but the system did not link to it, you can help with this form.
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your profile, as there may be some citations waiting for confirmation.
Please note that corrections may take a couple of weeks to filter through the various RePEc services.