System dynamics perspectives and modeling opportunities for research in operations management
System dynamics perspectives and modeling opportunities for research in operations management
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运营管理研究的系统动力学视角和建模机会
DOI：
10.1016/j.jom.2015.07.001
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发表时间：
2015
影响因子：
7.8
通讯作者：
E. Bendoly
中科院分区：
文献类型：
--
作者：
J. Sterman;Rogelio Oliva;K. Linderman;E. Bendoly
现在从事运营管理工作是一个激动人心的时刻。理论和方法的进步，包括行为作战、动态建模、实验方法和现场研究，为具有挑战性的作战环境提供了新的见解。然而，运营世界继续快速变化，给学者们带来了新的、困难的挑战。运营管理越来越需要理论、模型和经验方法来解决现代运营系统的跨职能、跨学科特征以及这些系统产生的复杂非线性动态。 运营管理研究界有着悠久的动态建模传统，至少可以追溯到 Forrester (1958) 和 Holt 等人 (1960) 的开创性工作。这些创新者认识到，即使是组织中的核心流程，例如生产和供应链管理，也涉及与其他组织职能以及其他组织和参与者（包括客户、供应商、工人、竞争对手、金融市场等）的关键反馈。他们认识到，这些交互和反馈通常涉及显着的时间延迟、非线性、信息扭曲和行为反应，这些反应通常会导致功能失调、次优行为以及缓慢的学习和过程改进。然而，挑战在于开发、阐明和测试简约的理论来解释复杂系统的行为，测试改进策略，在实际组织中实施这些理论，并评估其随着时间的推移产生的影响。
It is an exciting time to work in operations management. Advances in theory and methods, including behavioral operations, dynamic modeling, experimental methods, and field studies provide new insights into challenging operational contexts. Yet the world of operations continues to change rapidly, creating new and difficult challenges for scholars. Increasingly, operations management requires theory, models and empirical methods to address the cross-functional, interdisciplinary character of modern operational systems and the complex nonlinear dynamics these systems generate.The OM research community has a long tradition of dynamic modeling, going back at least to the pioneering work of Forrester (1958) and Holt et al.(1960). These innovators recognized that even core processes in organizations, such as production and supply chain management, involve critical feedbacks with other organizational functions and with other organizations and actors including customers, suppliers, workers, competitors, financial markets, and others. They recognized that these interactions and feedbacks often involve significant time delays, nonlinearities, information distortions, and behavioral responses that often cause dysfunctional, suboptimal behavior and slow learning and process improvement. The challenge, however, has been to develop, articulate and test parsimonious theories to explain the behavior of complex systems, to test policies for improvement, to implement these in real organizations, and to assess their impact over time.