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An integrated weighted fuzzy multi-objective model for supplier selection and order scheduling in a supply chain

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  • Gholamreza Bodaghi
  • Fariborz Jolai
  • Masoud Rabbani

Abstract

This paper presents a new weighted fuzzy multi-objective model to integrated supplier selection, order quantity allocation and customer order scheduling problem to prepare a responsive and order-oriented supply chain in a make-to-order manufacturing system. Total cost and quality of purchased parts as well as the reliability of on-time delivery of customer orders are regarded as the objectives of the model. On the other hand, flexible suppliers can contribute to the responsiveness and flexibility of entire supply chain in the face of uncertain customer orders. Therefore, a mathematical measure is developed for evaluating the volume flexibility of suppliers and is considered as the other objective of the model. Furthermore, by considering the effect of interdependencies between the selection criteria and to handle inconsistent and uncertain judgments, a fuzzy analytic network process method is used to identify top suppliers and consider as the last objective. In order to optimise these objectives, the decision-maker needs to decide from which supplier to purchase parts needed to assemble the customer orders, how to allocate the demand for parts between the selected suppliers, and how to schedule the customer orders for assembled products over the planning time horizon. Numerical examples are presented and computational analysis is reported.

Suggested Citation

  • Gholamreza Bodaghi & Fariborz Jolai & Masoud Rabbani, 2018. "An integrated weighted fuzzy multi-objective model for supplier selection and order scheduling in a supply chain," International Journal of Production Research, Taylor & Francis Journals, vol. 56(10), pages 3590-3614, May.
    • Handle: RePEc:taf:tprsxx:v:56:y:2018:i:10:p:3590-3614
    DOI: 10.1080/00207543.2017.1400706
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    Cited by:

    1. Islam, Samiul & Amin, Saman Hassanzadeh & Wardley, Leslie J., 2021. "Machine learning and optimization models for supplier selection and order allocation planning," International Journal of Production Economics, Elsevier, vol. 242(C).
    2. Sayan Chakraborty & Akshat Jain & S. P. Sarmah, 2022. "An integrated mathematical model based on grey optimal ranking for supplier selection considering pandemic situation," OPSEARCH, Springer;Operational Research Society of India, vol. 59(4), pages 1613-1648, December.
    3. Federico Toffano & Michele Garraffa & Yiqing Lin & Steven Prestwich & Helmut Simonis & Nic Wilson, 2022. "A multi-objective supplier selection framework based on user-preferences," Annals of Operations Research, Springer, vol. 308(1), pages 609-640, January.
    4. Sirin Suprasongsin & Pisal Yenradee & Van-Nam Huynh, 2020. "A weight-consistent model for fuzzy supplier selection and order allocation problem," Annals of Operations Research, Springer, vol. 293(2), pages 587-605, October.
    5. Saheeb Ahmed Kayani & Salman Sagheer Warsi & Raja Awais Liaqait, 2023. "A Smart Decision Support Framework for Sustainable and Resilient Supplier Selection and Order Allocation in the Pharmaceutical Industry," Sustainability, MDPI, vol. 15(7), pages 1-30, March.

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