 Optimal adaptation of supply base in dynamic demand cycles of a reconfigurable supply chainL.N. Pattanaik, Paras Agarwal, Urja Narayan and Saloni Ranjan International Journal of Integrated Supply Management, 2022, vol. 15, issue 4, 434-453 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. (search for similar items in EconPapers) Downloads: (external link) Related works: Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Persistent link: https://EconPapers.repec.org/RePEc:ids:ijisma:v:15:y:2022:i:4:p:434-453 Access Statistics for this article More articles in International Journal of Integrated Supply Management from Inderscience Enterprises Ltd |
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