A Sample Survey of Corporate Operations Research

Thomas, George; DaCosta, Jo-Anne

doi:10.1287/inte.9.4.102

Cited by 50 publications

(15 citation statements)

References 3 publications

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“…Hillier and Lieberman (2001) and Taha (2003) had a complete treatment of OR methods such as linear programming, network analysis, dynamic programming, game theory, queuing theory, inventory theory, Markovian decision processes, reliability theory and non-linear programming. Surveys conducted by Forgionne (1983), Green et al (1977), Shannon and Biles (1970), Thomas and DaCosta (1979) and Turban (1972) report low utilisation of some of the OR techniques such as queuing theory, integer programming, stochastic programming, search techniques, non-linear programming, dynamic programming and game theory. Vatter (1967), Gaither (1975) and Radnor and Neal (1973) mentioned that size of the firms and extent of OR methods used are positively related.…”

Section: Approach Methodsmentioning

confidence: 99%

“…Vatter (1967), Gaither (1975) and Radnor and Neal (1973) mentioned that size of the firms and extent of OR methods used are positively related. Other barriers to usage of OR methods are listed as mathematical complexity, lack of training, knowledge or education (Gaither, 1975;Green et al, 1977;Shrock and Ostrom, 1981;Thomas and DaCosta, 1979;Watson and Marrett, 1979).…”

Section: Approach Methodsmentioning

confidence: 99%

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A review of literature on manufacturing systems productivity measurement and improvement

Muthiah

Huang

2006

IJISE

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Globalisation is posing several challenges to the manufacturing sector. Design and operation of manufacturing systems are of great economic importance. Factory performance remains unpredictable in spite of the considerable literature on manufacturing productivity improvement, and the long history of manufacturing as there is no widespread agreement on how best be performed (Gershwin, 2000). Productivity measurement and improvement goes hand in hand, because one cannot improve what one cannot measure. The review of literature on manufacturing system productivity measurement and improvement has been summarised under four categories; they are Operations Research-(OR-) based methods, system analysis-based methods, continuous improvement methods and performance metrics-based methods. A survey of commercial tools available to measure manufacturing system performance is also performed. The review indicates that quantitative metrics for measuring factory level productivity and for performing factory level diagnostics (bottleneck detection, hidden capacity identification) are lacking. To address this gap, a factory level effectiveness metrics-based productivity measurement and diagnostic methodology is proposed.

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Section: Approach Methodsmentioning

confidence: 99%

Section: Approach Methodsmentioning

confidence: 99%

A review of literature on manufacturing systems productivity measurement and improvement

Muthiah

Huang

2006

IJISE

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“…Females represent around half of the Jordanian work force in education and one-third in health. Thomas and Da Costa (1979) found that OR staff among US firms were male who dominated with a proportion of 84%.…”

Section: Gender Distributionmentioning

confidence: 99%

“…The progress in the application of OR has been slow even with easy access to computers. Thomas and Da Costa (1979) found that 80% of 137 US corporations used OR. There is clear scope for extending the education of OR.…”

Section: Or Techniques Currently Usedmentioning

confidence: 99%

The practice of operations research in Jordanian industry: a field study

Al-Zawahreh

Cox

2009

IJIOME

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This study is concerned with the evaluation of the status of operations research (OR) practice, training and its diffusion into Jordanian industrial shareholding companies. The purpose of such an evaluation is to explore the level of OR awareness. To discover the extent of acceptance and implementation of OR and the adequacy of computing and training facilities in OR. It also attempts to identify the obstacles to the wider adoption of OR. The methodology for the study is essentially based upon a questionnaire that was directed to the practitioners of OR in all Jordanian industrial shareholding companies (86 companies) during summer 2003. The study concludes that the level of OR awareness, and usage in the companies is low. Also, there is a lack of specialised personnel, computer usage and OR departments. Moreover, the study concludes that many barriers are hindering the wider adoption of OR in the companies investigated.

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“…Unfortunately, such a recommendation is unlikely to be implemented on a wide scale simply because there is a shortage of such individuals. According to a survey of large U.S. firms, only about 28 percent of individuals in operations research departments have backgrounds in statistics or mathematics (Thomas and DaCosta 1979).…”

Section: Introductionmentioning

confidence: 99%

A statistical expert system for simulation analysis

Mellichamp

Park

1989

SIMULATION

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Efforts on a number of fronts are being made to enhance the usefulness of simulation as a tool for analysis. Graphical input, animation, automated program generation, model management utilities, and user interactive environments all address the issue of ease of use. Even with the current emphasis in this regard, simulation suffers from several shortcomings which preclude even greater application of the methodology. One of the more significant limitations is the dependence of simulation on statistical methodologies. Practically every phase of simulation analysis involves one or more statistical issues. And the fact of the matter is that many simulation practitioners have neither the statistical skills nor the access to qualified statisticians to effectively address these crucial issues.The obvious solution to this problem would be to have an expert statistician available during every simulation study to answer any questions concerning statistical issues. A more practical alternative is to make available an expert system which could function as a statistical advisor to simulation analysts. This option seems ideally suited for expert system techniques since it is welldefined and narrowly bounded and an appropriate body of statistical knowledge exists. The objective of this research was to develop such an expert statistical consultant. The system would be able to advise as well as perform appropriate computations for a variety of statistical issues including input data analysis, design of experiments, and output analysis. An overview of the proposed system is given and illustrations of the capabilities of the system are presented.

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A Sample Survey of Corporate Operations Research

Cited by 50 publications

References 3 publications

A review of literature on manufacturing systems productivity measurement and improvement

A review of literature on manufacturing systems productivity measurement and improvement

The practice of operations research in Jordanian industry: a field study

A statistical expert system for simulation analysis

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