Intelligent Physarum Solver for Profit Maximization in Oligopolistic Supply Chain Networks

Author:

Verma Rakesh1ORCID,Christiana M. Beulah Viji2,Maheswari M.3,Srinivasan Vellayan4,Patro Pramoda5,Dari Sukhvinder Singh6ORCID,Boopathi Sampath7ORCID

Affiliation:

1. Department of Master of Business Administration, Gniot MBA Institute, India

2. Department of Management Studies, Panimalar Engineering College, India

3. Department of Computational Intelligence, School of Computing, SRM Institute of Science and Technology, India

4. Department of Master of Business Administration, S.A. Engineering College, India

5. Department of Mathematics, Koneru Lakshmaiah Education Foundation, India

6. Symbiosis Law School, Symbiosis International University, Pune, India

7. Mechanical Engineering, Muthayammal Engineering College, India

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.

Publisher

IGI Global

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