Closed Loop Supply Chain with Production Planning

• Autorzy: Stecz W.

Identyfikatory

DOI

10.21008/j.2083-4950.2016.6.2.2

• Języki publikacji: EN

Abstrakty

EN

We present a Closed Loop Supply Chain (CLSC) model that supports a production planning (PP) process. CLSC model is based on CLSC framework model which consists of four main centers: collection, recovery center, distribution and disposal centers. These logistics parts support main production lines. Some quantity of the products is recovered and the factories don’t need to spend money for production. This is a simple cost reduction process. In CLSC literature one can hardly meet the models of production planning processes supported by CLSC. Important problem with that models is the computational complexity when one wants to prepare production plans for more than one time period. This is connected with a number of the numerical variables of the CLSC and PP models which are usually Integer Programming models solved with Branch & Bound algorithms. We present some modifications of the widely known and used constraints in the CLSC models to optimize solving process. All the experiments were conducted with the CPLEX solver.

Słowa kluczowe

EN

closed loop; supply chain; optimization; production planning

• Wydawca: Publishing House of Poznan University of Technology
• Czasopismo: Research in Logistics & Production
• Rocznik: 2016
• Tom: Vol. 6, No. 2
• Strony: 117--128
• Opis fizyczny: Bibliogr. 11 poz., fig., tab.

Twórcy

autor

Stecz W.

• Faculty of Cybernetics Military University of Technology, ul. Kaliskiego 2, 00-908 Warsaw, Poland

Bibliografia

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• 6. Melo M.T., Nickel S. & Saldanha-da-Gama F. (2009), Facility location and supply chain management - a review, Eur. J. Oper. Res., Vol. 196, pp. 401-412.
• 7. Nemhauser G.L. & Wolsey L.A. (1988), Integer and Combinatorial Optimization, John Wiley & Sons, New York.
• 8. Nocedal J. & Wright S.J. (1999), Numerical optimization, Springer-Verlag, New York.
• 9. Pishvaee M.S., Rabbani M. & Torabi S.A. (2011), A robust optimization approach to closed-loop supply chain network design under uncertainty, Applied Mathematical Modelling, Vol. 35, pp. 637-649.
• 10. Uster H., Easwaran G., Akcali E. & Cetinkaya S. (2007), Benders decomposition with alternative multiple cuts for a multi-product closed-loop supply chain, network design model, Naval Research Logistics, Vol. 54, pp. 890-907.
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Uwagi

Opracowanie ze środków MNiSW w ramach umowy 812/P-DUN/2016 na działalność upowszechniającą naukę.