A robust location-inventory model for food supply chains operating under disruptions with ripple effects. Issue 1 (2nd January 2021)

• Record Type: Journal Article
• Authors: Gholami-Zanjani, Seyed Mohammad; Jabalameli, Mohammad Saeed; Klibi, Walid; Pishvaee, Mir Saman
• Is Part Of: International journal of production research. Volume 59:Issue 1(2021)
• Page Start: 301
• Page End: 324
• Publication Date: 2021-01-02
• Subjects: Food supply chain -- disruptions -- ripple effect -- resilience -- robust optimisation -- location-inventory problem; Factory management -- Periodicals; 658.57
• DOI: 10.1080/00207543.2020.1834159
• Languages: English
• ISSNs: 0020-7543

Abstract

Abstract : Given the inevitable globalisation in the food sector and the specific security challenges this industry faces, designing food supply chains has become a substantial topic for academics and practitioners. The integration of food product-specific characteristics and potential disruptions has continuously gained importance because it better reflects real-world problems and responds to a crucial need for resilience, robustness, and competitiveness. In this article, a generic two-stage mixed-integer mathematical model is developed to integrate key features of location-allocation and inventory-replenishment decisions. Then, food-specific disruptions with ripple effects are incorporated through plausible scenarios. For such a setting, three resiliency strategies – namely, readiness, flexibility, and responsiveness – are used to deal with uncertainties. Based on extensive numerical experiments, the solutions obtained highlight behaviour of different design models to hedge against ripple effects as well as the importance of incorporating food-specific assumptions and risk aversion attitudes.