Comparing two computer search models for aggregate production planning

In this paper a comparison is made between the results and the cost-effectiveness of two computer search models for aggregate production planning when applied to a very sensitive high-order cost structure. The Search Decision Rule (SOR) model developed by Taubert outperforms the Sectioning Search Mo...

Full description

Bibliographic Details
Main Author:	J. T. Meij
Format:	Article
Language:	English
Published:	AOSIS 1982-06-01
Series:	South African Journal of Business Management
Online Access:	https://sajbm.org/index.php/sajbm/article/view/1175

id	doaj-4fb9fc97209f411c8c5cb912f07867f5
record_format	Article
spelling	doaj-4fb9fc97209f411c8c5cb912f07867f52021-04-02T14:47:37ZengAOSISSouth African Journal of Business Management2078-55852078-59761982-06-01132676910.4102/sajbm.v13i2.1175890Comparing two computer search models for aggregate production planningJ. T. Meij0Department of Industrial Engineering, University of StellenboschIn this paper a comparison is made between the results and the cost-effectiveness of two computer search models for aggregate production planning when applied to a very sensitive high-order cost structure. The Search Decision Rule (SOR) model developed by Taubert outperforms the Sectioning Search Model (SECT) of Goodman in both the areas of total optimum cost and cost-effectiveness.https://sajbm.org/index.php/sajbm/article/view/1175
collection	DOAJ
language	English
format	Article
sources	DOAJ
author	J. T. Meij
spellingShingle	J. T. Meij Comparing two computer search models for aggregate production planning South African Journal of Business Management
author_facet	J. T. Meij
author_sort	J. T. Meij
title	Comparing two computer search models for aggregate production planning
title_short	Comparing two computer search models for aggregate production planning
title_full	Comparing two computer search models for aggregate production planning
title_fullStr	Comparing two computer search models for aggregate production planning
title_full_unstemmed	Comparing two computer search models for aggregate production planning
title_sort	comparing two computer search models for aggregate production planning
publisher	AOSIS
series	South African Journal of Business Management
issn	2078-5585 2078-5976
publishDate	1982-06-01
description	In this paper a comparison is made between the results and the cost-effectiveness of two computer search models for aggregate production planning when applied to a very sensitive high-order cost structure. The Search Decision Rule (SOR) model developed by Taubert outperforms the Sectioning Search Model (SECT) of Goodman in both the areas of total optimum cost and cost-effectiveness.
url	https://sajbm.org/index.php/sajbm/article/view/1175
work_keys_str_mv	AT jtmeij comparingtwocomputersearchmodelsforaggregateproductionplanning
_version_	1721561296605806592

Comparing two computer search models for aggregate production planning

Similar Items