Fuzzy multi-objective production/distribution planning decisions with multi-product and multi-time period in a supply chain

This work develops a fuzzy multi-objective linear programming (FMOLP) model with piecewise linear membership function to solve integrated multi-product and multi-time period production/distribution planning decisions (PDPD) problems with fuzzy objectives. The original multi-objective linear programm...

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Veröffentlicht in:Computers & industrial engineering Jg. 55; H. 3; S. 676 - 694
1. Verfasser: Liang, Tien-Fu
Format: Journal Article
Sprache:Englisch
Veröffentlicht: New York Elsevier Ltd 01.10.2008
Pergamon Press Inc
Schlagworte:
Decision making
Fuzzy logic
Fuzzy multi-objective linear programming
Fuzzy sets
Linear programming
Mathematical models
Production planning
Production/distribution planning decisions
Studies
Supply chain management
Supply chains
Fuzzy sets
Supply chain management
Production/distribution planning decisions
Fuzzy multi-objective linear programming
ISSN:0360-8352, 1879-0550
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Zusammenfassung:This work develops a fuzzy multi-objective linear programming (FMOLP) model with piecewise linear membership function to solve integrated multi-product and multi-time period production/distribution planning decisions (PDPD) problems with fuzzy objectives. The original multi-objective linear programming designed in this work model attempts to simultaneously minimize total costs and total delivery time in relation to inventory levels, available machine capacity and labor levels at each source, and forecast demand and available warehouse space at each destination and total budget. The proposed FMOLP model provides a systematic framework that facilitates fuzzy decision-making process, enabling the decision maker (DM) to interactively adjust the search direction during the solution procedure to obtain a DM’s preferred satisfactory solution. Additionally, the DM computes the value in each cost category by considering the time value of money in the proposed model, which is appropriate for practical application to the PDPD problem in a supply chain. Finally, an industrial case demonstrates the feasibility of applying the proposed model to a real-world integrated PDPD problem in a supply chain under uncertain environments.
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ISSN:0360-8352
1879-0550
DOI:10.1016/j.cie.2008.02.008