An optimisation approach for capacity planning: modelling insights and empirical findings from a tactical perspective
Abstract The academic literature presents a research-practice gap on the application of decision support tools to address tactical planning problems in real-world organisations. This paper addresses this gap and extends a previous action research relative to an optimisation model applied for tactica...
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Associação Brasileira de Engenharia de Produção (ABEPRO)
2017-09-01
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Online Access: | http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0103-65132017000100321&lng=en&tlng=en |
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doaj-28c84f1b7bc2447ea882750897e3c8302020-11-24T23:07:55ZengAssociação Brasileira de Engenharia de Produção (ABEPRO)Production1980-54112017-09-0127010.1590/0103-6513.001417S0103-65132017000100321An optimisation approach for capacity planning: modelling insights and empirical findings from a tactical perspectiveAndréa Nunes CarvalhoLuiz Felipe ScavardaFabricio OliveiraAbstract The academic literature presents a research-practice gap on the application of decision support tools to address tactical planning problems in real-world organisations. This paper addresses this gap and extends a previous action research relative to an optimisation model applied for tactical capacity planning in an engineer-to-order industrial setting. The issues discussed herein raise new insights to better understand the practical results that can be achieved through the proposed model. The topics presented include the modelling of objectives, the representation of the production process and the costing approach, as well as findings regarding managerial decisions and the scope of action considered. These insights may inspire ideas to academics and practitioners when developing tools for capacity planning problems in similar contexts.http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0103-65132017000100321&lng=en&tlng=enEngineer-to-orderAggregate production planningDecision support systemMathematical programmingAction research |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Andréa Nunes Carvalho Luiz Felipe Scavarda Fabricio Oliveira |
spellingShingle |
Andréa Nunes Carvalho Luiz Felipe Scavarda Fabricio Oliveira An optimisation approach for capacity planning: modelling insights and empirical findings from a tactical perspective Production Engineer-to-order Aggregate production planning Decision support system Mathematical programming Action research |
author_facet |
Andréa Nunes Carvalho Luiz Felipe Scavarda Fabricio Oliveira |
author_sort |
Andréa Nunes Carvalho |
title |
An optimisation approach for capacity planning: modelling insights and empirical findings from a tactical perspective |
title_short |
An optimisation approach for capacity planning: modelling insights and empirical findings from a tactical perspective |
title_full |
An optimisation approach for capacity planning: modelling insights and empirical findings from a tactical perspective |
title_fullStr |
An optimisation approach for capacity planning: modelling insights and empirical findings from a tactical perspective |
title_full_unstemmed |
An optimisation approach for capacity planning: modelling insights and empirical findings from a tactical perspective |
title_sort |
optimisation approach for capacity planning: modelling insights and empirical findings from a tactical perspective |
publisher |
Associação Brasileira de Engenharia de Produção (ABEPRO) |
series |
Production |
issn |
1980-5411 |
publishDate |
2017-09-01 |
description |
Abstract The academic literature presents a research-practice gap on the application of decision support tools to address tactical planning problems in real-world organisations. This paper addresses this gap and extends a previous action research relative to an optimisation model applied for tactical capacity planning in an engineer-to-order industrial setting. The issues discussed herein raise new insights to better understand the practical results that can be achieved through the proposed model. The topics presented include the modelling of objectives, the representation of the production process and the costing approach, as well as findings regarding managerial decisions and the scope of action considered. These insights may inspire ideas to academics and practitioners when developing tools for capacity planning problems in similar contexts. |
topic |
Engineer-to-order Aggregate production planning Decision support system Mathematical programming Action research |
url |
http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0103-65132017000100321&lng=en&tlng=en |
work_keys_str_mv |
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