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Comparing two computer search models for aggregate production planning
South African Journal of Business Management | Vol 13, No 2 | a1175 |
DOI: https://doi.org/10.4102/sajbm.v13i2.1175
| © 2018 J. T. Meij
| This work is licensed under CC Attribution 4.0
Submitted: 24 October 2018 | Published: 30 June 1982
Submitted: 24 October 2018 | Published: 30 June 1982
About the author(s)
J. T. Meij, Department of Industrial Engineering, University of Stellenbosch, South AfricaFull Text:
PDF (278KB)Abstract
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.
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