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Rolling Migration Planning for Manufacturing Networks

Rolling Migration Planning for Manufacturing Networks
制造网络的滚动迁移规划
批准号:
314597414
负责人:
Professor Dr.-Ing. Günther Schuh
金额:
$0.0万
依托单位国家:
德国
项目类别:
Research Grants
财政年份:
2016
资助国家:
德国
项目状态:
已结题
起止时间:
2015-12-31 至 2019-12-31

项目摘要

项目成果

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中文摘要
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英文摘要
The design of manufacturing networks is a strategic task with long-term implications. Yet, decision makers are overwhelmed with the scale of such a planning task. Therefore, methods become essential that deal with network design problems and allow enterprises to design and further optimize their global manufacturing networks. Besides designing the structure of a manufacturing network, planning the migration process for the further development of a network is key. The combination of both perspectives increases the network design potential: while, regarding the structural perspective, an eligible target structure for a manufacturing network is to be developed, the most suitable path, in terms of migration perspective, towards that very target structure has to be found. Existing approaches focus mostly on one of the two perspectives. Either a mathematical optimization approach for a network structure is developed or it is aimed for a strategic approach to develop a network. The integrated view from both perspectives is mostly not covered in existing literature. Another important aspect is the great array of influence parameters and interdependencies which increase the planning complexity. Especially planning uncertainty induced by external factors is often neglected. Furthermore, manufacturing networks are also not planned from scratch but presuppose existing network configurations which are incrementally developed towards the target network structure. The consideration of individual migration steps must therefore gain significance. The goal lies in the development of an overall method for a rolling migration planning of global manufacturing networks. It should model necessities of migration, evaluate resulting migration steps by effort and benefit as well as synergies and restrictions and facilitate an optimized order for those migration steps. For this purpose, the research project is composed of seven work packages. Initially, a suitable network model is created. Then, migration demands are modelled and attributed with synergies and restrictions before migration efforts and benefits have to be quantitatively assessed. On this basis, a procedure for the determination of an optimized migration step order will be developed. Furthermore, all these elements are incorporated into an overall method for rolling migration planning. Ultimately, the method will be validated. Throughout the entire project, the research results are documented and published. In conclusion, this research project should contribute to the economic planning of manufacturing networks aligned with the strategy of the enterprise.
期刊论文(6)
专著(0)
科研奖励(0)
会议论文
DOI: 10.1109/ieem.2018.8607294
发表时间: 2018
期刊: 2018 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)
影响因子: --
作者: [G. Schuh, J. P. Prote, M. Molitor, S. Cremer]
通讯作者: S. Cremer
Determination of the abstraction level in production network models
生产网络模型中抽象级别的确定
DOI: 10.1016/j.procir.2019.03.035
发表时间: 2019
期刊: Procedia CIRP
影响因子: --
作者: [G. Schuh, J. P. Prote, S. Cremer, A. Gützlaff, M. Ziegler, M. Benfer]
通讯作者: M. Benfer
Planning and Controlling Migration in Dynamic Production Networks
规划和控制动态生产网络中的迁移
DOI: 10.1109/iestec46403.2019.00073
发表时间: 2019
期刊: 2019 7th International Engineering, Sciences and Technology Conference (IESTEC)
影响因子: --
作者: [G. Schuh, J. P. Prote, S. Cremer, S.Wlecke, J. Maibaum]
通讯作者: J. Maibaum
DOI: 10.1109/ieem.2018.8607608
发表时间: 2018-12
期刊: 2018 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)
影响因子: --
作者: [G. Schuh;J. Prote;Bastian Fränken;Julian L. Ays;S. Cremer]
通讯作者: G. Schuh;J. Prote;Bastian Fränken;Julian L. Ays;S. Cremer
6
    Design model for the calculation of product-service systems in single and small batch production
    • 批准号:
      449991824
    • 项目类别:
      Research Grants
    • 资助金额:
      $0.0万
    • 财政年份:
      2020
    • 负责人:
      Professor Dr.-Ing. Günther Schuh
    • 依托单位:
    Digital twin for the single and small batch production
    • 批准号:
      406411721
    • 项目类别:
      Research Grants
    • 资助金额:
      $0.0万
    • 财政年份:
      2018
    • 负责人:
      Professor Dr.-Ing. Günther Schuh
    • 依托单位:
    Complexity-oriented design of cyber-physical systems
    • 批准号:
      399904766
    • 项目类别:
      Research Grants
    • 资助金额:
      $0.0万
    • 财政年份:
      2018
    • 负责人:
      Professor Dr.-Ing. Günther Schuh
    • 依托单位:
    Customer-specific starting solutions and product architecture adaption in the B2B configuration process
    • 批准号:
      389505435
    • 项目类别:
      Research Grants
    • 资助金额:
      $0.0万
    • 财政年份:
      2017
    • 负责人:
      Professor Dr.-Ing. Günther Schuh
    • 依托单位:
    海外基金