供应链
复杂性管理
计算机科学
灵活性(工程)
上游(联网)
下游(制造业)
计算复杂性理论
精益制造
运筹学
产业组织
业务
营销
经济
数学
管理
计算机网络
算法
作者
Cecil Bozarth,Donald P. Warsing,Barbara B. Flynn,Edward J. Flynn
标识
DOI:10.1016/j.jom.2008.07.003
摘要
Abstract This paper puts forth a model of supply chain complexity and empirically tests it using plant‐level data from 209 plants across seven countries. The results show that upstream complexity, internal manufacturing complexity, and downstream complexity all have a negative impact on manufacturing plant performance. Furthermore, supply chain characteristics that drive dynamic complexity are shown to have a greater impact on performance than those that drive only detail complexity. In addition to providing a definition and empirical test of supply chain complexity, the study serves to link the systems complexity literature to the prescriptions found in the flexibility and lean production literatures. Finally, this research establishes a base from which to extend previous work linking operations strategy to organization design [Flynn, B.B., Flynn, E.J., 1999. Information‐processing alternatives for coping with manufacturing environment complexity. Decision Sciences 30 (4), 1021–1052].
科研通智能强力驱动
Strongly Powered by AbleSci AI