使用决策支持系统的供应链效率和有效性管理

Pub Date : 2022-10-01 DOI:10.4018/ijisscm.305847
Guozheng Li
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引用次数: 0

摘要

从外包和离岸活动中产生的全球供应链的管理强调全球分散的供应链。全世界所有的利益相关者和企业家都对信息技术在快速变化的客户偏好时代支持商业活动的重要性有一个共同的认识。今天,许多人相信生产过程的转变,这随后会影响整个供应链的流动,担心从上游到下游的过度使用和低效率。因此,本文建议使用决策支持系统(SCE2M-DSS)进行供应链效率和有效性管理。该概念框架采用智能决策支持系统,实现不确定条件下供应链的主动产能规划。采用强化学习(RL)技术设计了智能决策支持系统来验证概念框架。最初开发的决策方法的应用侧重于产品开发和服务生产。
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Supply Chain Efficiency and Effectiveness Management Using Decision Support Systems
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.
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