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

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dc.contributor.authorVerma, Rohit
dc.date.accessioned2020-09-12T21:07:06Z
dc.date.available2020-09-12T21:07:06Z
dc.date.issued1997-04-01
dc.description.abstractThis 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.
dc.description.legacydownloadsVerma70_Management_science.pdf: 3569 downloads, before Aug. 1, 2020.
dc.identifier.other6394285
dc.identifier.urihttps://hdl.handle.net/1813/72003
dc.language.isoen_US
dc.relation.doihttps://doi.org/10.1016/S0305-0483(96)00060-6
dc.rightsRequired 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.
dc.subjectmanagement science
dc.subjectlinear programming
dc.subjecttheory of constraints
dc.subjectcontrolled laboratory experiment
dc.subjecttheory testing
dc.titleManagement Science, Theory of Constraints/Optimized Production Technology and Local Optimization
dc.typearticle
local.authorAffiliationVerma, Rohit: rv54@cornell.edu Cornell University

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