Solving the Supply-Chain Problem with an Multi-Objective Evolutionary Algorithm

Abstract

Supply chain management (SCM) is a critical component of modern business operations, encompassing the planning and management of all activities involved in sourcing, procurement, conversion, and logistics management. This paper aims to provide a comprehensive overview of supply chain management, exploring its fundamental concepts, the challenges faced by organizations, and the innovations shaping the future of SCM. Supply chain management has evolved into a vital area of study and practice within the field of operations management. It involves the coordination and integration of these flows both within and among companies. The objective of SCM is to maximize customer value and achieve a sustainable competitive advantage. This paper will explore the key components of supply chain management, the challenges faced by organizations, and the innovations that are transforming the landscape of SCM.In this paper we define goals for SCM. Next we solve the problem with the Simulated Annealing (SA). Since there is more than one goal, we use PARETO theorem that is allow us to optimize different goals simultaneously.