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  5. Management Science, Theory of Constraints/Optimized Production Technology and Local Optimization

Management Science, Theory of Constraints/Optimized Production Technology and Local Optimization

File(s)
Verma70_Management_science.pdf (562.06 KB)
Permanent Link(s)
https://hdl.handle.net/1813/72003
Collections
SHA Articles and Chapters
Author
Verma, Rohit
Abstract

This study uses a controlled laboratory experiment to compare the performances of Management Science (MS), Theory of Constraints/Optimized Production Technology (TOC/OPT) and Local Optimization (LO) approaches to production planning. The OPT game was used as the experimental instrument. The subjects were given hint sheets based on MS, TOC/OPT and LO approaches. The results show that production planning by MS and TOC/OPT approaches improve the performance more than the LO approach. Additionally MS was found to improve the performance more than TOC. Statistical power analysis of the data suggests that the laboratory experiment had a high power and the tested approaches had a medium to large effect on performance.

Date Issued
1997-04-01
Keywords
management science
•
linear programming
•
theory of constraints
•
controlled laboratory experiment
•
theory testing
Related DOI
https://doi.org/10.1016/S0305-0483(96)00060-6
Rights
Required Publisher Statement: © Elsevier. DOI: 10.1016/S0305-0483(96)00060-6. Final version published as: Verma, R. (1997). Discrete choice analysis in hospitality management research. Omega, 25(2), 189-200. Reprinted with permission. All rights reserved.
Type
article

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