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Strategic design and operational management optimization of a multi stage physical distribution system

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  • Manzini, Riccardo
  • Bindi, Filippo

Abstract

Design and management of logistic networks is one of the most critical issues in supply chain management. However, the literature does not contain any effective models, methods, and applications that simultaneously support management decisions in the strategic design of the distribution system, in the operational planning and organization of vehicles, and in container trips organization adopting different modes of transportation. The aim of this paper is to illustrate an original framework for the design and optimization of a multi echelon and multi level production/distribution system that combines mixed-integer linear programming modeling with cluster analysis, heuristic algorithms, and optimal transportation rules. A significant case study is illustrated revealing the effectiveness of the approach and tools proposed.

Suggested Citation

  • Manzini, Riccardo & Bindi, Filippo, 2009. "Strategic design and operational management optimization of a multi stage physical distribution system," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 45(6), pages 915-936, November.
  • Handle: RePEc:eee:transe:v:45:y:2009:i:6:p:915-936
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    Citations

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    Cited by:

    1. Manzini, Riccardo, 2012. "A top-down approach and a decision support system for the design and management of logistic networks," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 48(6), pages 1185-1204.
    2. Özceylan, Eren & Paksoy, Turan & Bektaş, Tolga, 2014. "Modeling and optimizing the integrated problem of closed-loop supply chain network design and disassembly line balancing," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 61(C), pages 142-164.
    3. Cortinhal, M. J. & Lopes, M. J. & Melo, M. T., 2014. "Redesigning a three-echelon logistics network over multiple time periods with transportation mode selection and outsourcing opportunities," Technical Reports on Logistics of the Saarland Business School 7, Saarland University of Applied Sciences (htw saar), Saarland Business School.
    4. Shu, Jia & Li, Zhengyi & Shen, Houcai & Wu, Ting & Zhong, Weijun, 2012. "A logistics network design model with vendor managed inventory," International Journal of Production Economics, Elsevier, vol. 135(2), pages 754-761.
    5. Kopanos, Georgios M. & Puigjaner, Luis & Georgiadis, Michael C., 2012. "Simultaneous production and logistics operations planning in semicontinuous food industries," Omega, Elsevier, vol. 40(5), pages 634-650.
    6. Faccio, M. & Persona, A. & Sgarbossa, F. & Zanin, G., 2014. "Sustainable SC through the complete reprocessing of end-of-life products by manufacturers: A traditional versus social responsibility company perspective," European Journal of Operational Research, Elsevier, vol. 233(2), pages 359-373.
    7. Ivanov, Dmitry & Pavlov, Alexander & Sokolov, Boris, 2014. "Optimal distribution (re)planning in a centralized multi-stage supply network under conditions of the ripple effect and structure dynamics," European Journal of Operational Research, Elsevier, vol. 237(2), pages 758-770.

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