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Incorporating analytical hierarchy process and goal programming to design responsive and efficient supply chains

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  • Al-Husain, Raed
  • Khorramshahgol, Reza

Abstract

The main aim of this article is to propose a new supply chain (SC) design methodology in order to enable organizations to better utilize their resources and structure their SC drivers to achieve the desired level of responsiveness and efficiency. A great challenge in this endeavor is that the SC drivers, which are categorized as logistical and cross-functional, are interrelated and have different (often conflicting) performance measures. By combining the analytical hierarchy process (AHP) with weighted binary goal programming (GP), this article introduces a two-stage approach to SC design. At the initial stage, the AHP model attempts to develop weights for the efficiency and responsiveness of the overall SC design as well as the individual SC drivers. These weights are subsequently used in the latter stage to construct a GP model to determine the optimal set of SC-driver decisions that would develop the overall satisfactory SC design.

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  • Al-Husain, Raed & Khorramshahgol, Reza, 2020. "Incorporating analytical hierarchy process and goal programming to design responsive and efficient supply chains," Operations Research Perspectives, Elsevier, vol. 7(C).
    • Handle: RePEc:eee:oprepe:v:7:y:2020:i:c:s2214716020300397
    DOI: 10.1016/j.orp.2020.100149
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    References listed on IDEAS

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    1. Khorramshahgol, Reza & Al-Husain, Raed, 2021. "A GP-AHP approach to Design Responsive Supply Chains for Pareto Customers," Operations Research Perspectives, Elsevier, vol. 8(C).
    2. Majumdar, Abhijit & Tiwari, Manoj Kumar & Agarwal, Aastha & Prajapat, Kanika, 2021. "A new case of rank reversal in analytic hierarchy process due to aggregation of cost and benefit criteria," Operations Research Perspectives, Elsevier, vol. 8(C).
    3. Yu-Jwo Tao & Yi-Shyuan Lin & Hsuan-Shih Lee & Guo-Ya Gan & Chang-Shu Tu, 2022. "Using a Product Life Cycle Cost Model to Solve Supplier Selection Problems in a Sustainable, Resilient Supply Chain," Sustainability, MDPI, vol. 14(4), pages 1-22, February.
    4. George Mavrotas & Evangelos Makryvelios, 2023. "R&D project portfolio selection using the Iterative Trichotomic Approach in order to study how subjectivity of the weights is reflected in the selected projects of the final portfolio," Operational Research, Springer, vol. 23(3), pages 1-18, September.

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