Abstract
Original language | English |
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Title of host publication | Proceedings of 3rd I*PROMS Virtual International Conference |
Subtitle of host publication | Innovative Production Machines and Systems |
Editors | D.T. Wham |
Place of Publication | Dunbeath |
Publisher | Whittles publishing |
Pages | 274-279 |
ISBN (Print) | 978-1904445-52-4 |
Publication status | Published - 2008 |
MoE publication type | A4 Article in a conference publication |
Event | 3rd I*PROMS Virtual International Conference - Duration: 2 Jul 2007 → 13 Jul 2007 |
Conference
Conference | 3rd I*PROMS Virtual International Conference |
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Period | 2/07/07 → 13/07/07 |
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Keywords
- decision support
- system design
- queue theories
- linear programming
- discrete event simulation
Cite this
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Hybrid Decision Support and Justification Methods for Production System Selection. / Heilala, Juhani.
Proceedings of 3rd I*PROMS Virtual International Conference: Innovative Production Machines and Systems. ed. / D.T. Wham. Dunbeath : Whittles publishing, 2008. p. 274-279.Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review
TY - GEN
T1 - Hybrid Decision Support and Justification Methods for Production System Selection
AU - Heilala, Juhani
PY - 2008
Y1 - 2008
N2 - This article presents different decision support and justification method principles for production system selection and development. The focus is on analytic approaches, discrete event simulation, queue theories and linear programming. Other approaches, both strategic and economic, are simply listed but are nonetheless of major importance. The benefits of discrete event simulation are discussed, along with reasons for not using it. Analytic methods, queue theories, linear programming, i.e. optimisation, are useful and can be used before or parallel to simulation modelling. The use of different methods is compared and a combination of different methods, i.e. hybrid methods, is discussed. The author proposes the use of hybrid methods and different types of modelling and simulation in production system concept creation and selection. The article is based on the author's experience of assembly system design and on a literature study.
AB - This article presents different decision support and justification method principles for production system selection and development. The focus is on analytic approaches, discrete event simulation, queue theories and linear programming. Other approaches, both strategic and economic, are simply listed but are nonetheless of major importance. The benefits of discrete event simulation are discussed, along with reasons for not using it. Analytic methods, queue theories, linear programming, i.e. optimisation, are useful and can be used before or parallel to simulation modelling. The use of different methods is compared and a combination of different methods, i.e. hybrid methods, is discussed. The author proposes the use of hybrid methods and different types of modelling and simulation in production system concept creation and selection. The article is based on the author's experience of assembly system design and on a literature study.
KW - decision support
KW - system design
KW - queue theories
KW - linear programming
KW - discrete event simulation
M3 - Conference article in proceedings
SN - 978-1904445-52-4
SP - 274
EP - 279
BT - Proceedings of 3rd I*PROMS Virtual International Conference
A2 - Wham, D.T.
PB - Whittles publishing
CY - Dunbeath
ER -