为工业 4.0 实施制造执行系统 (MES):通过知识共享动态克服买方与提供方之间的信息不对称

IF 6.7 1区 工程技术 Q1 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS
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引用次数: 0

摘要

制造执行系统(MES)被视为工业 4.0 的 "入口之门"。在这一过程中,该系统必须实时运行,并与其他多个系统集成,从而实现模块化调整和定制化实施。复杂性的增加凸显了企业与其技术提供商之间关系的重要性,要求双方开展深入的知识共享(KS)活动。特别是,买方与 MES 4.0 供应商之间的信息不对称可能对系统的成功实施至关重要,但人们对这一问题知之甚少,而这一问题对工业 4.0 旅程的第一阶段影响很大。因此,我们旨在了解知识共享如何影响买方与技术提供商之间的信息不对称,从而促进 MES 4.0 的实施。我们的调查基于对来自 33 家公司的 56 位关键专家的定性访谈,这使我们能够首先定义工业 4.0 的 MES 配置,即 MES 4.0 区别于早期版本的 MES。然后,我们对 MES 采购合同签订前和签订后阶段的三个买方-提供方二元组进行了多案例研究,以分析 MES 4.0 实施过程中的 KS 动态。我们提出了一个模型来解释 MES 4.0 复杂性与 KS 强度之间的关系,并提出了一个决策框架来描述 MES 4.0 的实施步骤,同时重点关注减少合作过程中的信息不对称。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Implementing Manufacturing Execution Systems (MES) for Industry 4.0: Overcoming buyer-provider information asymmetries through knowledge sharing dynamics

Manufacturing Execution Systems (MES) have been considered the ‘entrance door’ to the Industry 4.0 journey. As part of this journey, this system must operate in real-time and be integrated with several other systems, resulting in modular adaptation and customized implementation of this solution. This increased complexity underscores the importance of the relationship between companies and their technology providers, requiring intensive knowledge-sharing (KS) activities between the parties. In particular, information asymmetry between buyers and MES 4.0 providers may be critical for the successful implementation of the system, but little is known about this issue, which has a high impact on the first stage of the Industry 4.0 journey. Thus, we aim to understand how knowledge sharing affects information asymmetry between buyers and technology providers for MES 4.0 implementation. Our investigation is based on qualitative interviews with 56 key experts from 33 companies, which allowed us first to define MES configurations for Industry 4.0, i.e., MES 4.0 as a differentiation from early versions of MES. Then, we conducted a multiple case study with three buyer-provider dyads in the pre-and post-contract phases of MES purchasing to analyze KS dynamics during the implementation of MES 4.0. We propose a model that explains the relationship between MES 4.0 complexity and KS intensity and a decision framework that describes the steps for MES 4.0 implementation while focusing on reducing information asymmetry during the collaboration.

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来源期刊
Computers & Industrial Engineering
Computers & Industrial Engineering 工程技术-工程:工业
CiteScore
12.70
自引率
12.70%
发文量
794
审稿时长
10.6 months
期刊介绍: Computers & Industrial Engineering (CAIE) is dedicated to researchers, educators, and practitioners in industrial engineering and related fields. Pioneering the integration of computers in research, education, and practice, industrial engineering has evolved to make computers and electronic communication integral to its domain. CAIE publishes original contributions focusing on the development of novel computerized methodologies to address industrial engineering problems. It also highlights the applications of these methodologies to issues within the broader industrial engineering and associated communities. The journal actively encourages submissions that push the boundaries of fundamental theories and concepts in industrial engineering techniques.
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