Article | Proceedings of the 2nd CIRP IPS2 Conference 2010; 14-15 April; Linköping; Sweden | Resource Planning of Industrial Product-Service Systems (IPS²) by a Heuristic Resource Planning Approach

Title:
Resource Planning of Industrial Product-Service Systems (IPS²) by a Heuristic Resource Planning Approach
Author:
H. Meier: Ruhr-University Bochum, Chair of Production Systems, Germany B. Funke: Ruhr-University Bochum, Chair of Production Systems, Germany
Download:
Full text (pdf)
Year:
2010
Conference:
Proceedings of the 2nd CIRP IPS2 Conference 2010; 14-15 April; Linköping; Sweden
Issue:
077
Article no.:
043
Pages:
339-346
No. of pages:
8
Publication type:
Abstract and Fulltext
Published:
2012-10-11
ISBN:
978-91-7393-381-0
Series:
Linköping Electronic Conference Proceedings
ISSN (print):
1650-3686
ISSN (online):
1650-3740
Publisher:
Linköping University Electronic Press; Linköpings universitet


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Industrial Product-Service-Systems (IPS¬≤) are specified by delivering value in use to the customer while both product and service shares occur integrative over the whole life cycle. Thus they comprise several degrees of freedom; such as the partial substitution of product and service shares or the integration of customers’ resources; which the operational resource planning of IPS¬≤ deals with. Furthermore it has to optimize the schedule regarding several aims like costs or constant work load. This article describes the Heuristic Resource Planning Approach for IPS¬≤ which combines e.g. randomized search heuristics and evolutionary algorithms.

Keywords: Industrial Product-Service Systems (IPS²); advanced planning and scheduling; process planning

Proceedings of the 2nd CIRP IPS2 Conference 2010; 14-15 April; Linköping; Sweden

Author:
H. Meier, B. Funke
Title:
Resource Planning of Industrial Product-Service Systems (IPS²) by a Heuristic Resource Planning Approach
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Proceedings of the 2nd CIRP IPS2 Conference 2010; 14-15 April; Linköping; Sweden

Author:
H. Meier, B. Funke
Title:
Resource Planning of Industrial Product-Service Systems (IPS²) by a Heuristic Resource Planning Approach
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