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

Kaveh Khalili-Damghani; Ayda Shahrokh; Alireza Pakgohar

doi:10.4995/ijpme.2017.6633

Authors

Kaveh Khalili-Damghani Islamic Azad University https://orcid.org/0000-0002-2338-1673
Ayda Shahrokh Industrial Management Institute
Alireza Pakgohar Sheffield Hallam University

DOI:

https://doi.org/10.4995/ijpme.2017.6633

Keywords:

Uncertain aggregate production planning, Supply chain management, Automotive Industry

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.

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Author Biographies

Kaveh Khalili-Damghani, Islamic Azad University

South Tehran Branch

Department of Industrial Engineering

Ayda Shahrokh, Industrial Management Institute

Department of System and Industrial Engineering

Alireza Pakgohar, Sheffield Hallam University

Department of Finance, Accounting & Business Systems

Sheffield Business School

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