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Fuzzy multi-objective optimization for multi-site integrated production and distribution planning in two echelon supply chain

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Abstract

This paper addresses an integrated production and distribution planning problem for a two-echelon supply chain network comprising of multiple manufacturers serving multiple selling locations. A novel fuzzy multi-objective mixed integer programming model is formulated considering multi-product, multi-period, and multi-site manufacturing environment. Minimization of total cost, delivery time, and backorder level are the three fuzzy objectives represented by piecewise linear membership function. Three important production and distribution aspects viz. capacity of the heterogeneous transportation, backordering for unfulfilled demand, and set-up cost/time for different products at manufacturing site are incorporated in an integrated manner to represent closeness to the real-life problem. An illustrative example inspired from a real-world case of an automobile industry is taken to demonstrate analytical results of the proposed approach. The outcome of the research indicates the practical applicability of the approach. Sensitivity analysis on objective function values is conducted for analyzing the effect of change in aspiration levels of objective function values on decision maker’s satisfaction level.

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Authors and Affiliations

  1. Department of Mechanical Engineering, Malaviya National Institute of Technology Jaipur, Jaipur, India

    Gaurav Kumar Badhotiya, Gunjan Soni & M. L. Mittal

Authors
  1. Gaurav Kumar Badhotiya
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  2. Gunjan Soni
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  3. M. L. Mittal
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Correspondence to Gunjan Soni.

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Badhotiya, G.K., Soni, G. & Mittal, M.L. Fuzzy multi-objective optimization for multi-site integrated production and distribution planning in two echelon supply chain. Int J Adv Manuf Technol 102, 635–645 (2019). https://doi.org/10.1007/s00170-018-3204-2

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  • DOI: https://doi.org/10.1007/s00170-018-3204-2

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