Development of a performance measurement system for manufacturing systems

被引:0
作者
Oke, S.A. [1 ]
Oyedokun, I.O. [1 ]
Akanbi, O.G. [2 ]
Oyawale, F.A. [2 ]
机构
[1] Department of Mechanical Engineering, University of Lagos, Akoka-Yaba, Mezzanine Complex
[2] Department of Industrial and Production Engineering, University of Ibadan, Ibadan, Engineering Annex Building
关键词
Inputs; Lagrange multiplier; Manufacturing system; Output; Performance; Performance Measurement; PM; Productivity; Profitability; Taylor and Davis model;
D O I
10.1504/IJISE.2008.017556
中图分类号
学科分类号
摘要
Taylor and Davis total productivity model has significant advantage over the traditional and more commonly used productivity models its holistic nature. The model incorporates elements of net sales, inventory changes, wages and salary, investor's contribution, working and fixed capital. This paper presents a unique approach in the determination of the total factor productivity for a manufacturing organisation. This study is motivated by the dearth of models comprehensive enough to cover the major aspects of business apart from the usual input-output approach of productivity analysis which is limited to the output items and material/ non-material resources. The results obtained clearly demonstrate the feasibility of applying Lagrange multiplier in optimising the variables and parameters of the model. The research has implications for decision making in several dimensions primarily it aids the utilisation of optimal solutions in arriving at decisions. This would avoid suboptimal decision making and promotes implementation of optimal decisions. This study is new, in that, it presents an enhanced version of a model that has been available to researchers several years back. © 2008, Inderscience Publishers.
引用
收藏
页码:498 / 513
页数:15
相关论文
共 26 条
[1]  
Bernstein J.I., Hernandez J., Rodriguez J.M., Ros A.J., X-factor updating and total factor productivity growth: The case of Peruvian telecommunication, 1996 2003, Journal of Regulatory Economics, 30, 3, pp. 316-342, (2006)
[2]  
Kontodimopoulos N., Niakas D., A 12-year analysis of malmquist total factor productivity in dialysis, Journal of Medical Systems, 30, 5, pp. 333-342, (2006)
[3]  
Losee R.M., Percent perfect performance (PPP), Information Processing and Management, 43, 4, pp. 1020-1029, (2007)
[4]  
Maxwell G.R., Edwards V.H., Robertson M., Shah K., Assuring process safety in the transfer of hydrogen cyanide manufacturing technology, Journal of Hazardous Materials, 142, 3, pp. 677-684, (2007)
[5]  
Murakami Y., Technology spillover from foreign-owned firms in Japanese manufacturing industry, Journal of Asian Economics, 18, 2, pp. 284-293, (2007)
[6]  
Olsen E.O., Ward P.T., Performance measurement system simplicity, International Journal of Manufacturing Technology and Management, 8, 4, pp. 330-354, (2006)
[7]  
Park S.S., Lee H.J., Lee K.Y., Hwang Y., A study on manufacturing technology for an inclined polygon mirror, Journal of Materials Processing Technology, 187-188, pp. 56-59, (2007)
[8]  
Parkan C., Bench marking operational performance: The case of two hotels, International Journal of Productivity and Performance Management, 54, 8, pp. 679-696, (2005)
[9]  
Parkan C., On OCRA: Response to comments by Wang (2004), European Journal of Operational Research, 169, 1, pp. 332-337, (2006)
[10]  
Parkan C., Wu M., Measurement of the performance of an investment bank using the operational competitiveness rating procedure, Omega, 27, 2, pp. 201-217, (1999)