Artificial intelligence in supply chain management: theory and applications

被引:227
作者
Min, Hokey [1 ]
机构
[1] Bowling Green State Univ, Coll Business Adm, Bowling Green, OH 43403 USA
关键词
artificial intelligence; supply chain management; knowledge management; literature review; GENETIC ALGORITHM APPROACH; ANT COLONY OPTIMIZATION; AGENT-BASED FRAMEWORK; EXPERT-SYSTEM; NEURAL-NETWORKS; PERFORMANCE; MULTIAGENT; DESIGN; MODEL; TREE;
D O I
10.1080/13675560902736537
中图分类号
C93 [管理学];
学科分类号
12 ; 1201 ; 1202 ; 120202 ;
摘要
Artificial intelligence (AI) was introduced to develop and create othinking machineso that are capable of mimicking, learning, and replacing human intelligence. Since the late 1970s, AI has shown great promise in improving human decision-making processes and the subsequent productivity in various business endeavors due to its ability to recognise business patterns, learn business phenomena, seek information, and analyse data intelligently. Despite its widespread acceptance as a decision-aid tool, AI has seen limited application in supply chain management (SCM). To fully exploit the potential benefits of AI for SCM, this paper explores various sub-fields of AI that are most suitable for solving practical problems relevant to SCM. In so doing, this paper reviews the past record of success in AI applications to SCM and identifies the most fruitful areas of SCM in which to apply AI.
引用
收藏
页码:13 / 39
页数:27
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