Title: Analysing the supply chain network reconfiguration under disruption risk environment
Authors: Varthini Rajagopal; Shanmugam Prasanna Venkatesan; Usha Mohan; Rishabh Gaur; Shubham Jha
Addresses: Department of Production Engineering, National Institute of Technology, Tiruchirappalli, Trichy, Tamil Nadu, India ' Department of Production Engineering, National Institute of Technology, Tiruchirappalli, Trichy, Tamil Nadu, India ' Department of Management Studies, Indian Institute of Technology Madras, Chennai, India ' Department of Production Engineering, National Institute of Technology, Tiruchirappalli, Trichy, Tamil Nadu, India ' Department of Production Engineering, National Institute of Technology, Tiruchirappalli, Trichy, Tamil Nadu, India
Abstract: A p-robust supply chain network (SCN) reconfiguration model under disruptions in dynamic mid-term horizon considering decision-maker (DM)'s risk-attitude is presented. Reconfiguration of SCN within a time horizon by utilising excess resources of undisrupted facilities, outsourcing and capacity expansion is studied. At first, the single-objective cost minimisation problem is formulated and extended as a multi-objective problem incorporating responsiveness as another objective. Pareto solutions are obtained using augmented ε-constraint (AUGMECON) method. The major inferences include: 1) the cost minimisation model opens a fewer facility under nominal condition and prefers capacity expansion strategy under disruptions; 2) the inclusion of responsiveness objective results in opening more facilities with outsourcing as preferred reactive strategy; 3) DM's attitude significantly affect structural decisions but not the parametric decisions such as capacity expansion, material flow redirection, and outsourcing; 4) a neutral DM selects a dispersed and diversified portfolio of facilities, whereas averse DM opens backup facilities closer to critical facilities.
Keywords: dynamic configuration; disruption; reactive mitigation strategies; risk-attitude; responsiveness; AUGMECON.
DOI: 10.1504/IJISE.2022.124065
International Journal of Industrial and Systems Engineering, 2022 Vol.41 No.3, pp.295 - 335
Received: 07 May 2020
Accepted: 21 Aug 2020
Published online: 12 Jul 2022 *