OPERATIONS RESEARCH TECHNIQUE IN MANUFACTURING SYSTEMS

6 Pages   |   880 Words

Table of Contents

Aims. 3
Rationale. 3
Research design. 4
Research Questions. 4
Hypotheses. 4
Subject and data. 4
Methodology. 4
Limitations of the research. 5
Reference. 6

Aims

This research study aims to investigate the techniques involved pertaining to the operations research carried out by firms with regards to the manufacturing systems of those concerned firms.

Rationale

Studies have shown that discrete simulation is an important tool in the management of manufacturing systems as part of one of the techniques of operations research. It is a tool in which models are designed representing the real world which is tested by conducting various experiments in the model in order that analysis could be done to determine the best strategy most suitable for operating a particular system. It is especially considered to be imperative when the risks associated with the model are low in comparison with the trial and error procedure (Reeb & Leavengood, 2003). Research has shown that many experiments have been conducted to improve the operation management of manufacturing systems so as to increase the quality of decisions at every step of the production manufacturing cycle and also to bring about an increase in effective decision making (Akella, Fox, & Smith, 1989).
 

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Furthermore, research has supported this fact by stating that by employing certain operations techniques the firms were able to enhance their production and manufacturing processes and effective communication and decision making was the outcome of such techniques implemented by integrating the operations research technique with various other techniques that would render the manufacturing system as being flexible (Gmytrasiewicz, Huang, & Lewis).

Moreover, it was studied that in operations research techniques that revolved around case or field research were inherently better by resulting in improved performances for the firm than other techniques that revolved around traditional ways of statistical modeling for constructing management operations techniques (Meredith, 1998). However it was also observed that research in operations was not frequently carried out as it should have been to bring about improved changes in the manufacturing systems of firms. The reason attributed to this fact was that such researches were costly to carry out and there was sufficient risk involved in carrying out such researches (Flynn, Sakakibara, Schroeder, Bates, & Flynn, 1990). Moreover, it was researched that to bring about flexibility in manufacturing systems would prove to be difficult hence a planning and scheduling framework, a technique that would help in bringing about flexibility, would be better able to enhance the performance of manufacturing systems (Kusiak, 1986).

Research design

Research Questions

Does a firm or a number of firms utilize such techniques or procedures concerning operations research in manufacturing systems and what the impact is if any between the two?

Hypotheses

To test the hypothesis that techniques regarding operations research significantly impact the manufacturing systems of firms.

Subject and data

Participation in this study is voluntary. I intend to carry out a survey by compiling a questionnaire which will target a few firms and would be basically concerned with the manufacturing systems of those firms. The people participating in this research would be the employees working at those firms, having knowledge of the manufacturing systems within that firm. The data will thus be collected from the employees of those firms regarding the operations research techniques involved in manufacturing systems.

Methodology

Each informant will be given 30 questions to answer. 15 of those questions will be aimed at finding information regarding the operations research techniques involved in the manufacturing firms. In addition to this, 15 of the other questions will be based on how those techniques influenced the manufacturing systems of those firms.

I will then evaluate the responses received by each informant and would then try to determine the relationship that exists between the operations research techniques involved and how those techniques affected the manufacturing systems. I will use the level of significance determined by the p-value of those variables to test their significance for this study.

Limitations of the research

The data size of such a study conducted may be prove to be small, particularly because such statistical researches that involve testing the hypothesis whereby the variables have to be rejected or acknowledged based on the significance of their relationship with the dependent variable are based on surveys that yield limited data responses. The limitations that might be incurred during this research could be the reluctance on part of the employees of those firms when answering the survey questions regarding their operations techniques and the manufacturing systems involved with operations research. 

References

Akella, R., Fox, M. S., & Smith, S. (1989). Integrated Manufacturing Decision Systems: An Overview.
Flynn, B. B., Sakakibara, S., Schroeder, R. G., Bates, K. A., & Flynn, E. J. (1990). Empirical research methods in operations management. Journal of Operations Mangement , 250-284.
Gmytrasiewicz, P. J., Huang, H. H., & Lewis, F. L. (n.d.). Combining Operations Research and Agent-Oriented Techniques for Agile Manufacturing System Design.
Kusiak, A. (1986). Application of operational research models and techniques in flexible manufacturins systmes. European Journal of Operations Research .
Meredith, J. (1998). Building operations mangement theory through case and field research. Journal of Operations Management , 441-454.
Reeb, J. E., & Leavengood, S. (2003). Simulating a Munufacturing System: An Introduction. Operations Research .

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