Model-Based Decision Support in Manufacturing and Service Networks
Model-Based Decision Support in Manufacturing and Service Networks
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DOI：
10.1007/s12599-013-0310-4
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发表时间：
2014-01
影响因子：
7.9
通讯作者：
Andreas Fink;N. Kliewer;D. Mattfeld;L. Mönch;Franz Rothlauf;G. Schryen;L. Suhl;S. Voß
中科院分区：
文献类型：
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作者：
Andreas Fink;N. Kliewer;D. Mattfeld;L. Mönch;Franz Rothlauf;G. Schryen;L. Suhl;S. Voß
在这篇文章中，我们概述了一些挑战，应该解决在未来的研究努力，以模型为基础的决策支持在制造和服务网络。这包括整合问题，考虑到决策实体在面对信息不对称时的自主性，对决策者的偏好进行建模，有效地确定可靠的解决办法，即对问题数据的变化不敏感的解决办法，以及减少建立和使用模型所需的时间。问题解决周期包括问题分析、适当算法的设计和性能评估。我们感兴趣的是所提出的方法在应用系统中的典型集成，随后可以对扩展的应用系统进行现场测试。我们认为，所描述的研究议程需要商业和信息系统工程研究人员与来自管理科学、计算机科学和运筹学的同事进行跨学科合作。此外，我们还提供了一些相关研究结果的例证和说明性例子。
In this paper, we sketch some of the challenges that should be addressed in future research efforts for model-based decision support in manufacturing and service networks. This includes integration issues, taking into account the autonomy of the decision-making entities in face of information asymmetry, the modeling of preferences of the decision makers, efficiently determining robust solutions, i.e. solutions that are insensitive with respect to changes in the problem data, and a reduction of the time needed for model building and usage. The problem solution cycle includes problem analysis, the design of appropriate algorithms and their performance assessment. We are interested in a prototypical integration of the proposed methods within application systems, which can be followed up with field tests of the extended application systems. We argue that the described research agenda requires the interdisciplinary collaboration of business and information systems engineering researchers with colleagues from management science, computer science, and operations research. In addition, we present some exemplifying, illustrative examples of relevant research results.