Selection of productivity improvement techniques via mathematical modeling


Mahassan M. Khater and Noha A. Mostafa


This paper presents a new mathematical model to select an optimal combination of productivity improvement techniques. The proposed model of this paper considers four-stage cycle productivity and the productivity is assumed to be a linear function of fifty four improvement techniques. The proposed model of this paper is implemented for a real-world case study of manufacturing plant. The resulted problem is formulated as a mixed integer programming which can be solved for optimality using traditional methods. The preliminary results of the implementation of the proposed model of this paper indicate that the productivity can be improved through a change on equipments and it can be easily applied for both manufacturing and service industries.


DOI:

Keywords: Productivity ,Productivity improvement Optimization ,Integer programming (IP) and Multiple regression

How to cite this paper:

Khater, M & Mostafa, N. (2011). Selection of productivity improvement techniques via mathematical modeling.Management Science Letters, 1(1), 379-388.


References

Aggarwal, S. C. (1979). A study of productivity measures for improving benefit cost ratios of operating organization. In Proceedings of the 5th conference on Production Research, Amsterdam, the Netherlands, 64-70.

Bellifemine, F., Caire, G., Poggi, A. & Rimassa, G. (2008). JADE: A software framework for developing multi-agent applications. Lessons learned. Information and Software Technology, 50, 10–21.

Crandall, N. F., & Wooton, L. M. (1978). Development strategies of organizational productivity. California Management Review, 21(2), 37-46.

Hershauer, J. C., & Ruch, W. A. (1978). A Worker productivity model and its use at Lincoln Electric. Interfaces, 8(3), 80-90.

Huang, S. H., Dismukes, J. P., Shi, J., & Su, Q. (2002). Manufacturing System Modeling for Productivity Improvement, Journal of Manufacturing Systems. 21(4), pp. 249-59.

Lapin, L. L. (1983). Probability and statistics for modern engineering. Brooks/Cole, Wadsworth, Boston, Massachusetts.Masood, T., & Khan, I. (2004). Productivity improvement through computer-integrated manufacturing in post WTO scenario. In Proceedings of the National Conference on Energy Technologies, 171-177.Nawara, G. M., & Mostafa, M. K. (1991). Productivity Measures and Improvement. Arabic Book, PIEMCO, Cairo, Egypt.Rhee, S. K., & Song, I. K. (2000). Productivity improvement of mail delivery: A case study of Korean postal service. 11th Annual Conference of the Production and Operations Management Society, 1-4 April, 1-3.Sink, S. (1982). Productivity gain sharing and incentive plans: A current review, Patrick Koeling, D. Scott Sink. Institute of Industrial Engineers. In proceedings of Fall Industrial Engineering Conference.10 pages.Stewart, W. T., & Calloway, R. J. (1978). Engineering productivity: The management of improvement. Engineering Management International, 1, 109-116.Sumanth, D. J. (1984). Productivity Engineering and Management. McGraw-Hill, New York.

Sumanth, D. J., & Yavuz, F. P. (1983). A formalized approach to select productivity improvement techniques in organizations. Engineering Management International, 1(4), 259-273.Sutermeister, R. A. (1976). People and productivity. Third edition, New York: McGraw-Hill.

Tsurutani, T. (1990). Manufacturing information systems and productivity improvement activities. In proceedings of Electronic Manufacturing Symposium, 12-16.