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.

[img]
Preview
PDF
Pakgohar_stochstic_multi-period_(VoR).pdf - Published Version
Creative Commons Attribution Non-commercial.

Download (1MB) | Preview
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
Related URLs:

    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: 27 Feb 2019 10:30
    URI: http://shura.shu.ac.uk/id/eprint/22727

    Actions (login required)

    View Item View Item

    Downloads

    Downloads per month over past year

    View more statistics