Supply Chain Efficiency and Effectiveness Management Using Decision Support Systems

Abstract

The management of global supply chains that emerge from outsourcing and offshoring activities emphasizes a globally dispersed supply chain. All stakeholders and entrepreneurs worldwide have a common understanding of information technology's importance to support business activity in a rapidly changing era of customer preference. Today, many believe in a production process transition, which subsequently affects the supply chain flow in general, fearing overuse and inefficiency from upstream to downstream. Thus, this article proposes supply chain efficiency and effectiveness management using decision support systems (SCE2M-DSS). This conceptual framework uses an intelligent decision support system for the supply chain's proactive capacity planning under uncertain conditions. An intelligent decision-making support system is designed with reinforcement learning (RL) to validate the conceptual framework. The application of decision-making methods developed initially focused on product development and service production.