Stochastic multi-period multi-product multi-objective Aggregate Production Planning model in multi-echelon supply chain

KHALILI-DAMGHANI, Kaveh, SHAHROKH, Ayda and PAKGOHAR, Alireza (2017). Stochastic multi-period multi-product multi-objective Aggregate Production Planning model in multi-echelon supply chain. INTERNATIONAL JOURNAL OF PRODUCTION MANAGEMENT AND ENGINEERING, 5 (2), 85-106.

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Open Access URL: https://polipapers.upv.es/index.php/IJPME/article/... (Published version)
Link to published version:: https://doi.org/10.4995/ijpme.2017.6633

Abstract

In this paper a multi-period multi-product multi-objective aggregate production planning (APP) model is proposed for an uncertain multi-echelon supply chain considering financial risk, customer satisfaction, and human resource training. Three conflictive objective functions and several sets of real constraints are considered concurrently in the proposed APP model. Some parameters of the proposed model are assumed to be uncertain and handled through a two-stage stochastic programming (TSSP) approach. The proposed TSSP is solved using three multi-objective solution procedures, i.e., the goal attainment technique, the modified ε-constraint method, and STEM method. The whole procedure is applied in an automotive resin and oil supply chain as a real case study wherein the efficacy and applicability of the proposed approaches are illustrated in comparison with existing experimental production planning method.

Item Type: Article
Uncontrolled Keywords: Uncertain aggregate production planning; Supply chain management; Automotive Industry
Identification Number: https://doi.org/10.4995/ijpme.2017.6633
Page Range: 85-106
SWORD Depositor: Symplectic Elements
Depositing User: Symplectic Elements
Date Deposited: 27 Feb 2019 10:20
Last Modified: 18 Mar 2021 06:33
URI: https://shura.shu.ac.uk/id/eprint/22727

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