Title: Optimal adaptation of supply base in dynamic demand cycles of a reconfigurable supply chain

Authors: L.N. Pattanaik; Paras Agarwal; Urja Narayan; Saloni Ranjan

Addresses: Department of Production and Industrial Engineering, Birla Institute of Technology, Mesra, Ranchi, 835215, India ' Department of Production and Industrial Engineering, Birla Institute of Technology, Mesra, Ranchi, 835215, India ' Department of Production and Industrial Engineering, Birla Institute of Technology, Mesra, Ranchi, 835215, India ' Department of Production and Industrial Engineering, Birla Institute of Technology, Mesra, Ranchi, 835215, India

Abstract: Dynamic variation in demand has led to the need for agility and reconfiguration in supply chains. This paper presents a bi-objective optimisation problem related to performances of a reconfigurable supply chain. Two conflicting objective functions are developed to minimise the cost of supply chain and achieve maximum value for the aggregate reliability of suppliers selected in a known demand cycle. Since the two objective functions are in trade-off, a set of multiple Pareto optimal solutions are found in a search with the help of a multi-objective evolutionary algorithm: self-organising migration algorithm (SOMA). A novel aggregate fitness-based method is applied to select the best solution from the Pareto set using priority weightages from the decision maker. To illustrate the optimal selection of suppliers in real industry, a laptop assembly firm's supply chain is taken from literature. Dynamic demands for four consecutive cycles are used to describe the computational steps and solutions.

Keywords: self-organising migration algorithm; SOMA; reconfigurable supply chain; non-domination; Pareto-optimal solutions; aggregate fitness.

DOI: 10.1504/IJISM.2022.125991

International Journal of Integrated Supply Management, 2022 Vol.15 No.4, pp.434 - 453

Received: 29 Sep 2021
Accepted: 05 May 2022
Published online: 05 Oct 2022 *

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