Integrated manufacturing/distribution planning decisions with multiple imprecise goals in an uncertain environment |
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Authors: | Tien-Fu Liang |
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Institution: | 1. Department of Industrial Engineering and Management, Hsiuping Institute of Technology, 11 Gungye Road, Dali City, Taichung, 412, Taiwan, ROC
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Abstract: | This work presents a possibilistic linear programming (PLP) method for solving the integrated manufacturing/distribution planning
decision (MDPD) problems with multiple imprecise goals in supply chains under an uncertain environment. The imprecise PLP
model designed here aims to simultaneously minimize total net costs and total delivery time with reference to available supply,
capacities, labor levels, quota flexibility and cost budget constraints at each source, as well as forecast demand and warehouse
space at each destination. The proposed method achieves greater computational efficiency by employing the simplified triangular
distribution to represent imprecise numbers. An industrial case is used to demonstrate the feasibility of applying the proposed
method to a real MDPD problem. Overall, the proposed PLP method provides a practical means of solving the multi-objective
MDPD problems in an uncertain environment, and can effectively improve manufacturer/ distributor relationships in a supply
chain. |
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Keywords: | |
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