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A top-down approach and a decision support system for the design and management of logistic networks

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  • Manzini, Riccardo

Abstract

This paper presents an original top-down approach, made of original models and solving methods, and a decision support system (DSS) for the execution of the strategic planning, the tactical planning and the operational planning in a multi-echelon multi-stage multi-commodity and multi-period production, distribution and transportation system. The DSS is a software platform useful for the design, management and control of real instances. It can efficiently supports the decision making process of logistic managers and planners of large enterprises as multi-facilities companies and production–distribution networks. A significant case study is illustrated. The results obtained by the application of different problem settings are compared and discussed.

Suggested Citation

  • 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.
    • Handle: RePEc:eee:transe:v:48:y:2012:i:6:p:1185-1204
    DOI: 10.1016/j.tre.2012.06.004
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    2. Cortinhal, M. J. & Lopes, M. J. & Melo, M. T., 2018. "Impact of partial product outsourcing, transportation mode selection, and single-assignment requirements on the design of a multi-stage supply chain network," Technical Reports on Logistics of the Saarland Business School 15, Saarland University of Applied Sciences (htw saar), Saarland Business School.
    3. Accorsi, Riccardo & Manzini, Riccardo & Pini, Chiara & Penazzi, Stefano, 2015. "On the design of closed-loop networks for product life cycle management: Economic, environmental and geography considerations," Journal of Transport Geography, Elsevier, vol. 48(C), pages 121-134.
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    5. Jabbarzadeh, Armin & Haughton, Michael & Pourmehdi, Fahime, 2019. "A robust optimization model for efficient and green supply chain planning with postponement strategy," International Journal of Production Economics, Elsevier, vol. 214(C), pages 266-283.

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