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A recoverable production planning model

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Abstract

Aware of the importance of developing new alternatives to improve the performance of the companies, our purpose in this paper is to develop a medium term production planning model that deals with the concepts of Partnership and Reverse Logistics. Our model takes advantage of the synergies of integration, developing a model for global production planning that generates the optimal production and purchasing schedule for all the companies integrating a logistic chain. In a second part of the paper we incorporate products returns to the first model proposed, and analyze the implications they have over this model. We use some examples with different configurations of supply chains varying the number of production plants, distribution centers and recovery plants. To solve the model we have combined optimization and simulation procedures.

Suggested Citation

  • Juan P. Soto & Helena Ramalhinho-Lourenço, 2002. "A recoverable production planning model," Economics Working Papers 636, Department of Economics and Business, Universitat Pompeu Fabra.
  • Handle: RePEc:upf:upfgen:636
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    Cited by:

    1. García-Rodríguez, Francisco J. & Castilla-Gutiérrez, Carlos & Bustos-Flores, Carlos, 2013. "Implementation of reverse logistics as a sustainable tool for raw material purchasing in developing countries: The case of Venezuela," International Journal of Production Economics, Elsevier, vol. 141(2), pages 582-592.

    More about this item

    Keywords

    Reverse logistics; production planning; remanufacturing; returns; supply chain management; simulation; optimization;
    All these keywords.

    JEL classification:

    • M11 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Administration - - - Production Management
    • L60 - Industrial Organization - - Industry Studies: Manufacturing - - - General
    • C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis

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