Details
| Original language | English |
|---|---|
| Pages (from-to) | 55-67 |
| Number of pages | 13 |
| Journal | Production Engineering |
| Volume | 6 |
| Issue number | 1 |
| Early online date | 2 Dec 2011 |
| Publication status | Published - Feb 2012 |
Abstract
The success of companies with job shop production strongly depends on their production flexibility. This is often significantly influenced by the process planning and production control. Aiming at maximizing production flexibility, this paper presents an approach to further integration of process planning and production control by combining and optimizing already existing planning methods. Essentially, in a rough planning stage, all process chains which are technological relevant to the manufacturing of a given product are taken into consideration. Applying a dynamic multi-criteria evaluation to all process chains ensures that the most appropriate, situation-specific process chain is chosen for production. This is done based on pre-established production targets, which facilitates a flexible response to incidents and other unplanned production events. The structure and functionalities of the presented approach are thoroughly explained in this paper and its feasibility is demonstrated with an example.
Keywords
- Analytical hierarchy process, Flexibility, Process planning, Production control
ASJC Scopus subject areas
- Engineering(all)
- Mechanical Engineering
- Engineering(all)
- Industrial and Manufacturing Engineering
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In: Production Engineering, Vol. 6, No. 1, 02.2012, p. 55-67.
Research output: Contribution to journal › Article › Research › peer review
}
TY - JOUR
T1 - Adaptive process planning
AU - Denkena, Berend
AU - Lorenzen, Leif Erik
AU - Schmidt, Justin
N1 - Funding information: Acknowledgments The results presented in this paper were obtained within the framework of the Collaborative Research Center (SFB) 653 ‘‘Gentelligent Components in their Lifecycle’’. The authors would like to thank the German Research Foundation (DFG) for its financial and organizational support of this project.
PY - 2012/2
Y1 - 2012/2
N2 - The success of companies with job shop production strongly depends on their production flexibility. This is often significantly influenced by the process planning and production control. Aiming at maximizing production flexibility, this paper presents an approach to further integration of process planning and production control by combining and optimizing already existing planning methods. Essentially, in a rough planning stage, all process chains which are technological relevant to the manufacturing of a given product are taken into consideration. Applying a dynamic multi-criteria evaluation to all process chains ensures that the most appropriate, situation-specific process chain is chosen for production. This is done based on pre-established production targets, which facilitates a flexible response to incidents and other unplanned production events. The structure and functionalities of the presented approach are thoroughly explained in this paper and its feasibility is demonstrated with an example.
AB - The success of companies with job shop production strongly depends on their production flexibility. This is often significantly influenced by the process planning and production control. Aiming at maximizing production flexibility, this paper presents an approach to further integration of process planning and production control by combining and optimizing already existing planning methods. Essentially, in a rough planning stage, all process chains which are technological relevant to the manufacturing of a given product are taken into consideration. Applying a dynamic multi-criteria evaluation to all process chains ensures that the most appropriate, situation-specific process chain is chosen for production. This is done based on pre-established production targets, which facilitates a flexible response to incidents and other unplanned production events. The structure and functionalities of the presented approach are thoroughly explained in this paper and its feasibility is demonstrated with an example.
KW - Analytical hierarchy process
KW - Flexibility
KW - Process planning
KW - Production control
UR - http://www.scopus.com/inward/record.url?scp=84856231059&partnerID=8YFLogxK
U2 - 10.1007/s11740-011-0353-7
DO - 10.1007/s11740-011-0353-7
M3 - Article
AN - SCOPUS:84856231059
VL - 6
SP - 55
EP - 67
JO - Production Engineering
JF - Production Engineering
SN - 0944-6524
IS - 1
ER -