OCTOBER 19-20, 2012 - YMCA University of Science & Technology

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Proceedings of the National Conference on Trends and Advances in Mechanical Engineering, YMCA University of Science & Technology, Faridabad, Haryana, Oct 19-20, 2012 • Hafeez K., H. Rowland, Kanji, S.Iqbal (2002) “Design optimization using ANOVA”, Journal of Applied Statistics, , vol. 29, issue 6, pages 895-906 • Lin, C. L. (2004) “Use of the Taguchi method and grey relational analysis to optimize turning operations with multiple performance characteristics”, Materials and Manufacturing Processes, 19(2), 209-220 • Logothetis, N. and Wynn, H. P. (1989) “Quality Through Design: Experimental Design, Off-line Quality Control, and Taguchi's Contributions”. Oxford University Press, Oxford Science Publications. • Manna, A., & Bhattacharyya, B. (2004) “Investigation for optimal parametric combination for achieving better surface finish during turning of Al /SiC-MMC”. International Journal of Advanced Manufacturing Technology, 23, 658-665 • Montgomery, D. C. (1991) “Design and Analysis of Experiments” ed. John Wily, New York. • Phadke M.S. (1989) “Quality Engineering Using Robust Design”, Prentice Hall, Englewood Cliffs, New Jersey. • Rosa, Jorge Luiz; Robin, Alain; Silva, M. B.; Baldan, Carlos Alberto; Peres, Mauro Pedro. (2009) “Electrodeposition of copper on titanium wires: Taguchi experimental design approach.” Journal of Materials Processing Technology, v. 209, p. 1181-1188 • Rao, Ravella Sreenivas; C. Ganesh Kumar, R. Shetty Prakasham, Phil J. Hobbs (2008) "The Taguchi methodology as a statistical tool for biotechnological applications: A critical appraisal". Biotechnology Journal 3 (4): 510–523 • Rao, R. Sreenivas; R.S. Prakasham, K. Krishna Prasad, S. Rajesham, P.N. Sarma, L. Venkateswar Rao (2004) "Xylitol production by Candida sp.: parameter optimization using Taguchi approach". Process Biochemistry 39 (8): 951–956 • Ross, P.J., (1996) "Taguchi Techniques for Quality Engineering: Loss Function, Orthogonal Experiments, Parameter and Tolerance Design - 2nd ed.", New York, NY: McGraw-Hill. • Selden, Paul H. (1997) “Sales Process Engineering: A Personal Workshop” Milwaukee, Wisconsin: ASQ Quality Press. p. 237. • Shoemaker, A. C., K. L. Tsui (1991) "Economical Experimentation Methods for Robust Design", Technometrics, Vol 33 No (4), pp. 415-427. • Thornton, A. C., S. Donnely, (1999) “More Than Just Robust Design: Why Product Development Organizations Still Contend With Variation and Its Impact on Quality”, Annual Taguchi Symposium, ASME. • Taguchi, G (1978) "Off-line and On-line Quality Control Systems," Proceeding of International Conference on Quality, Tokyo, Japan. • Taguchi, G. and Y. Wu (1979) “Introduction to Off-Line Quality Control”, Central Japan Quality Control Association, Nagoya, Japan. • Taguchi, G. (1985) "Quality Engineering in Japan", Bulletin of the Japan Society of Precision Engineering, Vol 19 No (4), pp. 237-242. • Taguchi, G. (1986) “Introduction to Quality Engineering - Designing Quality into Products and Processes”, Asian Productivity Organization, Tokyo. • Taguchi, G. (1987) “System of Experimental Design” Unipub/Kraus, International Publication • Taguchi, G. (1993) “Taguchi on Robust Technology Development - Bringing Quality Engineering Upstream”, ASME Press, New York. • Taguchi, G., S. Chowdhury (2005) “Taguchi's Quality Engineering Handbook”, ASI Consulting Group, LLC, Livonia, Michigan. • Vernon, A., & Özel, T. (2003) “Factors affecting surface roughness in finish hard Turning”, Paper presented at the 17th International Conference on Production Research, Blacksburg, Virginia. • Yih-Fong, T. (2006) “Parameter design optimisation of computerised numerical control turning tool steels for high dimensional precision and accuracy”, Materials and Design, 27(8), 665-675 722
Proceedings of the National Conference on Trends and Advances in Mechanical Engineering, YMCA University of Science & Technology, Faridabad, Haryana, Oct 19-20, 2012 A REVIEW OF LITERATURE ON WORKER ALLOCATION PROBLEM IN FMS Lalit Kumar, Mohit Bansal, Sanjeev Goyal Department of Mechanical Engineering, YMCA University of Science & Technology, Faridabad, INDIA Email: rathee.lalit.2007@gmail.com Abstract A flexible manufacturing system (FMS) is a manufacturing system in which there is some amount of flexibility that allows the system to react in the case of changes, whether predicted or unpredicted. There are various components which are associated with FMS; worker allocation (WA) is one amongst them. In this paper authors have reviewed various literatures available on this topic and have tried to prepare a very concise and progressive review. Authors have classified the papers in basically four categories, each category covers a number of publications in which all the major related aspects of the problem are discussed. Manufacturing managers can refer this paper for the application of various important factors relating WA problem. Keywords: FMS, Literature, Task, Worker Allocation 1. Introduction The purpose of this paper is to address the worker allocation problem in a stochastic environment. This provides a thorough review of earlier papers in the field of worker allocation for a comprehensive understanding of worker allocation problem. Worker allocation could be defined as allocating the best worker to a process, thereby optimizing the performance of the system. In order to optimize the performance of the system, worker allocation has to be done based on productivity of the workers. Processing time and quality level of workers are the dominant productivity measures in context with worker allocation. It is worthwhile here to discuss the work of Kodituwakku and Dhayarathne (2011), which presents master worker optimization layer. The feature of this layer is that it uses the prior knowledge and numerical data relating to the groups of computers for discussion making process and solves the problems with the aid of computer. The work done by Jarugumilli and Grasman (2010) is formulated in the form of the workforce planning problem using a twophase goal programming approach for a high volume manufacturing facility with several machine groups at each operation. Decision makers are constantly on the lookout for techniques to enable quality improvement. Worker allocation is one such technique that has become popular in the recent times. Though worker allocation is not new, it has now found more subscribers, and occupies a prominent place. The work on the worker allocation problem solved by using genetic algorithm is also discussed by Zhang, Gen and Lin (2008), which is again a very useful tool to solve the problems of WA. But in reality this proves to be a concept that helps in innovation and the optimization of resources. Considering the growth of publications, till today there are not any such reviews attempts have been made on the topic of worker allocation. It is essential that the present attempt by the authors will definitely help the researchers. This paper, besides providing a review of literature on worker allocation, covers the following objectives: (1) Allotting the publications in a refined manner which will ease the search part (2) Scrutiny of publications on the basis of different categories; and (3) Finding results and aspects of future work. An interactive methodology for classifying the literature is used. The growth and categorization of publications are presented in a graphical form for an easy understanding. The papers have been closely examined. 2. Methodology and Scheme of Review The classification scheme proposed in this paper includes a simultaneous parallel categorization that highlights the growth of literature from time to time and also the coverage of worker allocation specific to different groups like: 723
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NATIONAL CONFERENCE ON TRENDS AND A
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National Conference on Trends and A
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MESSAGE I am pleased to learn that
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Sr. No Proceedings of National Conf
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Proceedings of National Conference
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Akash Equipments & Machineries (P)
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3. MATHEMATICAL FORMULATION Proceed
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OUTPUT Proceedings of the National
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6.2 Effect of input factors on Surf
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( ∏d i ) n The d i Proceedings of
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1 Proceedings of the National Confe
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3 Al-Al Compound Casting using high
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7 Mg shell and Al core Disintegrat
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• Enhanced operational safety •
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5. Conclusion Proceedings of the Na
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3.2 Effect of Different Dielectric
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References Proceedings of the Natio
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Sl No. Sequence of operation Table
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‣ Maximize the degree of efficien
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Title of paper Proceedings of the N
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OCTOBER 19-20, 2012 - YMCA University of Science & Technology

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