Details
| Original language | English |
|---|---|
| Title of host publication | Lecture Notes in Mechanical Engineering |
| Publisher | Springer Heidelberg |
| Pages | 1009-1021 |
| Number of pages | 13 |
| Publication status | Published - 25 Jun 2013 |
Publication series
| Name | Lecture Notes in Mechanical Engineering |
|---|---|
| Volume | 7 |
| ISSN (Print) | 2195-4356 |
| ISSN (electronic) | 2195-4364 |
Abstract
Planning of manufacturing process chains requires simultaneously the consideration of the necessary human and technological resources for producing parts. Thereby, today’s planning methodologies often only focus on the technical resources of production systems like machinery, tools, or material. A systematic integration of the worker0s competencies in terms of process chain planning is often neglected. This is a major drawback which is especially critical for production systems characterized by a high vertical range of manufacturing resources like multiple types of processes and machines or knowledge intensive manual work steps. Besides assembly processes in specialized industries, forging process chains are an example for production systems of high complexity in terms of coupled processes which will be discussed in this paper. Therefore, a new method for competence-based planning of coupled process chains has been developed, merging a competence analysis with analytical technological process models and a Genetic Algorithm for optimization. Based on a set of pareto-preferable solutions, parameters for forging process chain dimensioning can be found and selected based on the planner0s experience. The developed method and software-prototype are depicted and optimization results are discussed based on a case study.
ASJC Scopus subject areas
- Engineering(all)
- Automotive Engineering
- Engineering(all)
- Aerospace Engineering
- Engineering(all)
- Mechanical Engineering
- Chemical Engineering(all)
- Fluid Flow and Transfer Processes
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Lecture Notes in Mechanical Engineering. Springer Heidelberg, 2013. p. 1009-1021 (Lecture Notes in Mechanical Engineering; Vol. 7).
Research output: Chapter in book/report/conference proceeding › Contribution to book/anthology › Research › peer review
}
TY - CHAP
T1 - Competence-Based Planning of Coupled Process Chains
AU - Denkena, Berend
AU - Charlin, Friedrich
AU - Henning, Helge
N1 - Funding information: The authors would like to thank the German Research Foundation in the framework of the projects: “Integrated technology-and competence-based work planning in socio-technical systems”, grant number: DE 447/65-2 and the CRC 653 “Gentelligent Components in Their Lifecycle”.
PY - 2013/6/25
Y1 - 2013/6/25
N2 - Planning of manufacturing process chains requires simultaneously the consideration of the necessary human and technological resources for producing parts. Thereby, today’s planning methodologies often only focus on the technical resources of production systems like machinery, tools, or material. A systematic integration of the worker0s competencies in terms of process chain planning is often neglected. This is a major drawback which is especially critical for production systems characterized by a high vertical range of manufacturing resources like multiple types of processes and machines or knowledge intensive manual work steps. Besides assembly processes in specialized industries, forging process chains are an example for production systems of high complexity in terms of coupled processes which will be discussed in this paper. Therefore, a new method for competence-based planning of coupled process chains has been developed, merging a competence analysis with analytical technological process models and a Genetic Algorithm for optimization. Based on a set of pareto-preferable solutions, parameters for forging process chain dimensioning can be found and selected based on the planner0s experience. The developed method and software-prototype are depicted and optimization results are discussed based on a case study.
AB - Planning of manufacturing process chains requires simultaneously the consideration of the necessary human and technological resources for producing parts. Thereby, today’s planning methodologies often only focus on the technical resources of production systems like machinery, tools, or material. A systematic integration of the worker0s competencies in terms of process chain planning is often neglected. This is a major drawback which is especially critical for production systems characterized by a high vertical range of manufacturing resources like multiple types of processes and machines or knowledge intensive manual work steps. Besides assembly processes in specialized industries, forging process chains are an example for production systems of high complexity in terms of coupled processes which will be discussed in this paper. Therefore, a new method for competence-based planning of coupled process chains has been developed, merging a competence analysis with analytical technological process models and a Genetic Algorithm for optimization. Based on a set of pareto-preferable solutions, parameters for forging process chain dimensioning can be found and selected based on the planner0s experience. The developed method and software-prototype are depicted and optimization results are discussed based on a case study.
UR - http://www.scopus.com/inward/record.url?scp=84950995501&partnerID=8YFLogxK
U2 - 10.1007/978-3-319-00557-7_83
DO - 10.1007/978-3-319-00557-7_83
M3 - Contribution to book/anthology
AN - SCOPUS:84950995501
T3 - Lecture Notes in Mechanical Engineering
SP - 1009
EP - 1021
BT - Lecture Notes in Mechanical Engineering
PB - Springer Heidelberg
ER -