Intelligent Physarum Solver for Profit Maximization in Oligopolistic Supply Chain Networks
Rakesh Verma, M. Beulah Viji Christiana, M. Maheswari, Vellayan Srinivasan, Pramoda Patro, Sukhvinder Singh Dari, Sampath Boopathi
Abstract
This chapter discusses the use of an intelligent physarum solver (IPS) to optimize profit in oligopolistic supply chain networks. The IPS, inspired by the foraging behavior of the physarum polycephalum slime mold, addresses the challenges of resource allocation and profit distribution in oligopolistic markets. The chapter analyzes the IPS framework's effectiveness in modeling and optimizing various aspects of oligopolistic supply chains, including pricing strategies, production allocation, and distribution logistics. This research uses case studies and simulations to demonstrate how IPS can improve decision-making, foster cooperation among oligopolistic firms, and increase profitability in supply chain networks. It uses nature-inspired intelligence to provide practical solutions for businesses in oligopolistic environments, contributing valuable insights to supply chain management.