A Derivative Control Mechanism For Supply Chain Performance Improvement

Abstract

Organizations increasingly find that they must rely on effective supply chains to successfully compete in the global market and networked economy. Over the years, simulation models have proved to be a useful decision support tool for examining the performance of different system configurations and/or alternative operating procedures for complex systems to improve operational and organizational efficiency. This paper presents a new approach that transforms an optimization problem to a search problem by evaluating the interrelationship of decision making when either one or more actors in the supply chain take aggressive or conservative positions. This is aimed at improving and optimizing performance, both individually and for the entire chain in order to reduce costs, lower inventories, and increase manufacturing throughput.

Safety and Security in Fresh Good Supply Chain

“…To this end M&S provides decision makers at all levels (operational, tactical, and strategic) with specific and direct responses thanks to the possibility of investigating and testing real processes and their outcomes in a synthetic environment [4][5][6]. As a matter of facts, M&S has been already applied to handle different issues pertaining to supply chain management such as optimization [7], policy analysis [8][9][10][11], and decision support [12]. Here, M&S has shown its effectiveness and its capability to take into account several factors and their mutual interdependencies along the chain from procurement to market.…”