A robust optimization model for agile and build-to-order supply chain planning under uncertainties

Morteza Lalmazloumian, Kuan Yew Wong, Kannan Govindan, D. Kannan

Publikation: Bidrag til tidsskriftTidsskriftartikelForskningpeer review

Abstrakt

Supply chain planning as one of the most important processes within the supply chain management concept, has a great impact on firms' success or failure. This paper considers a supply chain planning problem of an agile manufacturing company operating in a build-to-order environment under various kinds of uncertainty. An integrated optimization approach of procurement, production and distribution costs associated with the supply chain members has been taken into account. A robust optimization scenario-based approach is used to absorb the influence of uncertain parameters and variables. The formulation is a robust optimization model with the objective of minimizing the expected total supply chain cost while maintaining customer service level. The developed multi-product, multi-period, multi-echelon robust mixed-integer linear programming model is then solved using the CPLEX optimization studio and guidance related to future areas of research is given.
OriginalsprogEngelsk
TidsskriftAnnals of Operations Research
Vol/bind240
Udgave nummer2
Sider (fra-til)435–470
ISSN0254-5330
DOI
StatusUdgivet - 2016

    Fingerprint

Citationsformater