Design and evaluation of automated cellular manufacturing systems with simulation modelling and AHP approach: a case study

Emerald - Tập 7 Số 6 - Trang 39-52 - 1996
Felix T.S. Chan1, K. Abhary2
1Department of Industrial and Manufacturing Systems Engineering, University of Hong Kong, Hong Kong
2School of Engineering, University of South Australia, The Levels, Australia

Tóm tắt

Suggests that many quantitative methods have been developed in an attempt to acknowledge uncertainty in decision making and to manage the inherent risk during economic planning for new technology implementation. Outlines a relatively simple and practical risk analysis, accompanied by the implementation of advanced manufacturing technology. Employs the proven analytical hierarchy process (AHP) approach, coupled with confidence intervals from data gathered through simulation techniques or through observations and empirical sampling. Describes a case study in which simulation models were developed using a software package SIMFACTORY II.5, which is based on the concept of visual interactive simulation. A number of simulation experiments were performed in order to investigate the influence of various flexible manufacturing system and cellular manufacturing system configurations. An AHP multi‐attribute analysis is performed by using AUTOMAN, a decision support software package. This package evaluates and combines the qualitative and quantitative factors for different configuration designs.


Tài liệu tham khảo

l Kedia, P. and Ulgen, M.O., “Using simulation in design of a cellular assembly plant with automatic guided vehicles”, Proceedings of the 1990 Winter Simulation Conference, October 1990, Washington, DC, pp. 101‐09. 2Ghosh, K.B., “Equipment investment decision analysis in cellular manufacturing”, International Journal of Operations & Production Management, Vol. 10 No, 7, 1990, pp. 5‐20. 3Heragu, S.S., “Group technology and cellular manufacturing”, IEEE Transactions on Systems, Man and Cybernetics, Vol. 24 No. 2, 1994, pp. 203‐15. 4Burbidge, J.L., “Production flow analysis”, The Production Engineer, Vol. 42 No. 12, 1963, pp. 742‐50. 5King, J.R. and Nakornchai, V., “Machine‐ component group formation in group technology: review and extension”, International Journal of Production Research, Vol. 20 No. 2, 1982, pp. 117‐33. 6Han, C. and Ham. I., “Multi‐objective cluster analysis for part family formations”, Journal of Manufacturing Systems, Vol. 5 No. 4, 1986, pp. 223‐30. 7Vakharia, A.J., “Methods of cell formation in group technology: a frame work for evaluation”, Journal of Operation Management, Vol. 6 No. 3, 1986, pp. 257‐71. 8Luong, L.H.S., “A cellular similarity coefficient algorithm for the design of manufacturing cells”, International Journal of Production Research, Vol. 31 No. 8, 1993, pp. 1757‐66. 9Paul, J.R. and Hlupic, V., “FMS scheduling strategies using the simulation package SIMFACTORY II.5”, CAR’s and FOF 8th International Conference on CAD/CAM, Robotics and Factories of the Future, Vol. 2, France, 1993, pp. 1672‐86. 10Mehdi, K. and Kurapati, V., “Flexible manufacturing systems: an overview”, International Journal of Operations & Production Management, Vol. 14 No. 4, 1993, pp. 26‐49. 11Chan , Y.D. and Bedworth, D.D., “Design of a scheduling system for flexible manufacturing cells”, International Journal Production Research, Vol. 28 No. l l, 1990, pp. 2037‐49. 12Saaty, T.L., The Analytic Hierarchy Process, McGraw‐Hill, New York, NY, 1980. 13Saaty, T.L., “Axiomatic foundation of the analytic hierarchy process”, Management Science, Vol. 32, 1986, pp. 841‐55. 14Saaty, T.L., “The analytic hierarchy process what it is and how it is used”, Mathematical Modelling, Vol. 9, 1987, pp. 161‐76. 15Saaty, T.L., “How to make a decision: the analytic hierarchy process”, European Journal of Operational Research, Vol. 48 No. l, 1990, pp. 9‐26. 16Sauber, M.H., Tummala, V.M.R. and Sanchez, P.P., “Launching new products for LDC’s: the AHP approach”, Journal of Global Business, Fall 1991, pp. 31‐7. 17Skibniewski, M. and Chao, L., “Evaluation of advanced construction technology with AHP method”, Journal of Construction Engineering and Management, Vol. 118 No. 3, 1992, pp. 577‐93. 18Troutt, M.D. and Tadisina, S.K., “The analytic hierarchy process as a model base for a merit salary recommendation system”, Mathematical and Computer Modelling, Vol. 16 No. 5, 1992, pp. 99‐105. 19Cook, D.R., Staschak, S. and Green, W.T., “Equitable allocation of livers for orthotopic transplantation: an application of the analytic hierarchy process”, European Journal of Operational Research, Vol. 48 No. 1, 1990, pp. 49‐56. 20Johnson, R.A., Srinivasan, V. and Rolster, P.J., “Sovereign debt ratings: a judgmental model based on the analytic hierarchy process”, Journal of International Business Studies, Vol. 21 No. 1, 1990, pp. 95‐117. 21Tummala, V.M.R., Smith, J.R. and Uppuluri, V.R.R., “Evaluating commercial credit decisions by analytic hierarchy process”, ASCI Journal of Management, Vol. 12 Nos 1/2, 1983, pp. 48‐56. 22Wind, Y., “An analytic hierarchy process based approach to the design and evaluation of a marketing driven business and corporate strategy”, Mathematical Modelling, Vol. 9 No. 3‐5, 1987, pp. 285‐91. 23Gershon, M., “The role of weights and scales in the application of multi‐objective decision making”, European Journal of Operational Research, Vol. 15, 1984, pp. 244‐50. 24Norris, D.M., “A study of JIT implementation techniques using the analytic hierarchy process model”, Production and Inventory Management Journal, Vol. 33 No 3, 1992, pp. 49‐53. 25Lahiri, S.B., “Skill‐sets migration planning via analytical hierarchy process”, Computer and Operations Research, Vol. 19 No. 5, 1992, pp. 313‐20. 26Wu, J.A. and Wu, N.L., “A strategic planning model: structuring and analysing via the analytic hierarchy process”, Industrial Management & Data Systems, Vol. 91 No. 6, 1991, pp. 5‐9. 27Thurston, D.L. and Tian, Y.Q., “Integration of the analytic hierarchy process and integer programming with linear constraints for long range product planning”, Mathematical and Computer Modelling, Vol. 17 No. 4/5, 1993, pp. 41‐54. 28Mustafa, M.A., “An integrated hierarchical programming approach for industrial planning”, Computer and Industrial Engineering, Vol. 16 No 4, 1989, pp. 525‐34. 29Suresh, N.C. and Kaparthi. S., “Flexible automation investment: a synthesis of two multi‐objective modeling approaches”, Computer and Industrial Engineering, Vol. 22 No. 3, 1992, pp. 257‐72. 30Schniederjans, M.J. and Wilson, R.L., “Using the analytic hierarchy process and goal programming for information system project selection”, Information and Management, Vol. 20 No 5, 1991, pp. 333‐42. 31Kolli, S.S., Wilhelm, R.M. and Parsaei, R.H., “Multiattribute decision methods for the evaluation of advanced manufacturing systems”, 2nd Industrial Engineering Research Conference Proceedings‐93, 1993, pp. 72‐6. 32Frazelle, E., “Suggested techniques enable multi‐criteria evaluation of material handling alternatives”, Industrial Engineering, 1985, pp. 177‐82. 33Groover, P.M., Automation, Production Systems, and Computer‐Integrated Manufacturing, Prentice‐Hall Inc., Englewood Cliffs, NJ, 1992. 34CACI., “SIMFACTORY II.5”, User’s Manual, CACI Products Company, La Jolla, CA, 1990. 35Chan, F.T.S., “FMS simulation model using PC‐SIMFACTORY”, International Conference on Manufacturing Automation, Hong Kong, 1992, pp. 774‐81. 36Goble, J., “Introduction of SIMFACTORY II.5”, Proceedings of The 1991 Winter Simulation Conference, Toronto, Canada, November 1991, pp. 77‐80. 37AutoMan, Computer Aided Manufacturing ‐ International ( CAM‐I ), 1250 E, Copeland Road, Suite 500, Arlington, TX, 1989.