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A survey of the application of fuzzy set theory in production and operations management: 1998-2009

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  • Wong, Bo K.
  • Lai, Vincent S.

Abstract

The objectives of this research are to identify the research trends in and publication outlets for the applications of the fuzzy set theory technique in production and operations management (POM). The major findings indicate that (1) the most popular applications are capacity planning, scheduling, inventory control, and product design, (2) some application areas make more use of particular types of fuzzy techniques, (3) the percentage of applications that address semi/unstructured types of POM problems is increasing, (4) the most common technologies integrated with the fuzzy set theory technique are genetic/evolutionary algorithms and neural networks, and (5) the most popular development tool is C Language and its extension. Our survey confirms several research trends, some of which are unexpected and some of which contradict previous findings.

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  • Wong, Bo K. & Lai, Vincent S., 2011. "A survey of the application of fuzzy set theory in production and operations management: 1998-2009," International Journal of Production Economics, Elsevier, vol. 129(1), pages 157-168, January.
    • Handle: RePEc:eee:proeco:v:129:y:2011:i:1:p:157-168
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    1. Wang, Wei & Wang, Dingwei & Ip, W. H., 1999. "JIT production planning approach with fuzzy due date for OKP manufacturing systems," International Journal of Production Economics, Elsevier, vol. 58(2), pages 209-215, January.
    2. Triantis, Konstantinos & Sarangi, Sudipta & Kuchta, Dorota, 2003. "Fuzzy pair-wise dominance and fuzzy indices: An evaluation of productive performance," European Journal of Operational Research, Elsevier, vol. 144(2), pages 412-428, January.
    3. Petroni, Alberto & Rizzi, Antonio, 2002. "A fuzzy logic based methodology to rank shop floor dispatching rules," International Journal of Production Economics, Elsevier, vol. 76(1), pages 99-108, March.
    4. Chen, Shih-Pin, 2007. "Analysis of critical paths in a project network with fuzzy activity times," European Journal of Operational Research, Elsevier, vol. 183(1), pages 442-459, November.
    5. Famuyiwa, Oluwafemi & Monplaisir, Leslie & Nepal, Bimal, 2008. "An integrated fuzzy-goal-programming-based framework for selecting suppliers in strategic alliance formation," International Journal of Production Economics, Elsevier, vol. 113(2), pages 862-875, June.
    6. Qin, X.S. & Huang, G.H. & Zeng, G.M. & Chakma, A. & Huang, Y.F., 2007. "An interval-parameter fuzzy nonlinear optimization model for stream water quality management under uncertainty," European Journal of Operational Research, Elsevier, vol. 180(3), pages 1331-1357, August.
    7. Chanas, Stefan & Kasperski, Adam, 2003. "On two single machine scheduling problems with fuzzy processing times and fuzzy due dates," European Journal of Operational Research, Elsevier, vol. 147(2), pages 281-296, June.
    8. F-M Tseng, 2008. "Quadratic interval innovation diffusion models for new product sales forecasting," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 59(8), pages 1120-1127, August.
    9. Chou, Shuo-Yan & Chang, Yao-Hui & Shen, Chun-Ying, 2008. "A fuzzy simple additive weighting system under group decision-making for facility location selection with objective/subjective attributes," European Journal of Operational Research, Elsevier, vol. 189(1), pages 132-145, August.
    10. Petrovic, Dobrila, 2001. "Simulation of supply chain behaviour and performance in an uncertain environment," International Journal of Production Economics, Elsevier, vol. 71(1-3), pages 429-438, May.
    11. Fang-Mei Tseng, 2008. "Quadratic-Interval Innovation Diffusion Models for New Product Sales Forecasting," World Scientific Book Chapters, in: Mostafa Hashem Sherif & Tarek M Khalil (ed.), Management Of Technology Innovation And Value Creation Selected Papers from the 16th International Conference on Management of Technology, chapter 25, pages 415-433, World Scientific Publishing Co. Pte. Ltd..
    12. Balan, S. & Vrat, Prem & Kumar, Pradeep, 2009. "Information distortion in a supply chain and its mitigation using soft computing approach," Omega, Elsevier, vol. 37(2), pages 282-299, April.
    13. Thomassey, Sebastien & Happiette, Michel & Castelain, Jean-Marie, 2005. "A global forecasting support system adapted to textile distribution," International Journal of Production Economics, Elsevier, vol. 96(1), pages 81-95, April.
    14. Katagiri, Hideki & Ishii, Hiroaki, 2002. "Fuzzy inventory problems for perishable commodities," European Journal of Operational Research, Elsevier, vol. 138(3), pages 545-553, May.
    15. Chen, Shan Huo & Chang, Shu Man, 2008. "Optimization of fuzzy production inventory model with unrepairable defective products," International Journal of Production Economics, Elsevier, vol. 113(2), pages 887-894, June.
    16. Shiromaru, Isao & Inuiguchi, Masahiro & Sakawa, Masatoshi, 2000. "A fuzzy satisficing method for electric power plant coal purchase using genetic algorithms," European Journal of Operational Research, Elsevier, vol. 126(1), pages 218-230, October.
    17. Wang, Juite & Hwang, W.-L., 2007. "A fuzzy set approach for R&D portfolio selection using a real options valuation model," Omega, Elsevier, vol. 35(3), pages 247-257, June.
    18. Sakawa, Masatoshi & Kubota, Ryo, 2000. "Fuzzy programming for multiobjective job shop scheduling with fuzzy processing time and fuzzy duedate through genetic algorithms," European Journal of Operational Research, Elsevier, vol. 120(2), pages 393-407, January.
    19. Petrovic, Dobrila & Roy, Rajat & Petrovic, Radivoj, 1999. "Supply chain modelling using fuzzy sets," International Journal of Production Economics, Elsevier, vol. 59(1-3), pages 443-453, March.
    20. Sakawa, Masatoshi & Nishizaki, Ichiro & Uemura, Yoshio, 2002. "A decentralized two-level transportation problem in a housing material manufacturer: Interactive fuzzy programming approach," European Journal of Operational Research, Elsevier, vol. 141(1), pages 167-185, August.
    21. Kulak, Osman & Kahraman, Cengiz, 2005. "Multi-attribute comparison of advanced manufacturing systems using fuzzy vs. crisp axiomatic design approach," International Journal of Production Economics, Elsevier, vol. 95(3), pages 415-424, March.
    22. J R Wang, 1999. "A fuzzy set approach to activity scheduling for product development," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 50(12), pages 1217-1228, December.
    23. Kahraman, Cengiz & Ertay, Tijen & Buyukozkan, Gulcin, 2006. "A fuzzy optimization model for QFD planning process using analytic network approach," European Journal of Operational Research, Elsevier, vol. 171(2), pages 390-411, June.
    24. Petrovic, Dobrila & Roy, Rajat & Petrovic, Radivoj, 1998. "Modelling and simulation of a supply chain in an uncertain environment," European Journal of Operational Research, Elsevier, vol. 109(2), pages 299-309, September.
    25. Hellendoorn, Hans, 1997. "After the fuzzy wave reached Europe," European Journal of Operational Research, Elsevier, vol. 99(1), pages 58-71, May.
    26. Ma, Li-Ching & Li, Han-Lin, 2008. "A fuzzy ranking method with range reduction techniques," European Journal of Operational Research, Elsevier, vol. 184(3), pages 1032-1043, February.
    27. Abdi, M.R., 2009. "Fuzzy multi-criteria decision model for evaluating reconfigurable machines," International Journal of Production Economics, Elsevier, vol. 117(1), pages 1-15, January.
    28. Chen, Chien-Ming, 2009. "A fuzzy-based decision-support model for rebuy procurement," International Journal of Production Economics, Elsevier, vol. 122(2), pages 714-724, December.
    29. Noci, Giuliano & Toletti, Giovanni, 2000. "Selecting quality-based programmes in small firms: A comparison between the fuzzy linguistic approach and the analytic hierarchy process," International Journal of Production Economics, Elsevier, vol. 67(2), pages 113-133, September.
    30. Wen, Meilin & Iwamura, Kakuzo, 2008. "Fuzzy facility location-allocation problem under the Hurwicz criterion," European Journal of Operational Research, Elsevier, vol. 184(2), pages 627-635, January.
    31. Liang, Gin-Shuh, 1999. "Fuzzy MCDM based on ideal and anti-ideal concepts," European Journal of Operational Research, Elsevier, vol. 112(3), pages 682-691, February.
    32. Buyukozkan, G.Gulcin & Feyzioglu, Orhan, 2004. "A fuzzy-logic-based decision-making approach for new product development," International Journal of Production Economics, Elsevier, vol. 90(1), pages 27-45, July.
    33. Uno, Takeshi & Katagiri, Hideki, 2008. "Single- and multi-objective defensive location problems on a network," European Journal of Operational Research, Elsevier, vol. 188(1), pages 76-84, July.
    34. Bin, Hongzan & Jin, Jianxin & Sun, Yu & Yang, Ming, 1999. "Performance-based control for the machining process and its application," International Journal of Production Economics, Elsevier, vol. 60(1), pages 491-496, April.
    35. Mok, P.Y. & Kwong, C.K. & Wong, W.K., 2007. "Optimisation of fault-tolerant fabric-cutting schedules using genetic algorithms and fuzzy set theory," European Journal of Operational Research, Elsevier, vol. 177(3), pages 1876-1893, March.
    36. Allet, Samir, 2003. "Handling flexibility in a "generalised job shop" with a fuzzy approach," European Journal of Operational Research, Elsevier, vol. 147(2), pages 312-333, June.
    37. Fortemps, P., 2003. "Fuzzy sets in scheduling and planning," European Journal of Operational Research, Elsevier, vol. 147(2), pages 229-230, June.
    38. Amid, Amin & Ghodsypour, S.H. & O'Brien, Christopher, 2009. "A weighted additive fuzzy multiobjective model for the supplier selection problem under price breaks in a supply Chain," International Journal of Production Economics, Elsevier, vol. 121(2), pages 323-332, October.
    39. Bogataj, Marija & Usenik, Janez, 2005. "Fuzzy approach to the spatial games in the total market area," International Journal of Production Economics, Elsevier, vol. 93(1), pages 493-503, January.
    40. Bottani, Eleonora & Rizzi, Antonio, 2006. "Strategic management of logistics service: A fuzzy QFD approach," International Journal of Production Economics, Elsevier, vol. 103(2), pages 585-599, October.
    41. Petrovic, Dobrila & Xie, Ying & Burnham, Keith & Petrovic, Radivoj, 2008. "Coordinated control of distribution supply chains in the presence of fuzzy customer demand," European Journal of Operational Research, Elsevier, vol. 185(1), pages 146-158, February.
    42. Yao, Jing-Shing & Ouyang, Liang-Yuh & Chang, Hung-Chi, 2003. "Models for a fuzzy inventory of two replaceable merchandises without backorder based on the signed distance of fuzzy sets," European Journal of Operational Research, Elsevier, vol. 150(3), pages 601-616, November.
    43. Büyüközkan, Gülçin & Feyzioglu, Orhan & Nebol, Erdal, 2008. "Selection of the strategic alliance partner in logistics value chain," International Journal of Production Economics, Elsevier, vol. 113(1), pages 148-158, May.
    44. Nepal, Bimal & Monplaisir, Leslie & Singh, Nanua, 2005. "Integrated fuzzy logic-based model for product modularization during concept development phase," International Journal of Production Economics, Elsevier, vol. 96(2), pages 157-174, May.
    45. R Tavakkoli-Moghaddam & N Safaei & M M O Kah, 2008. "Accessing feasible space in a generalized job shop scheduling problem with the fuzzy processing times: a fuzzy-neural approach," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 59(4), pages 431-442, April.
    46. Das, S. K. & Goswami, A. & Alam, S. S., 1999. "Multiobjective transportation problem with interval cost, source and destination parameters," European Journal of Operational Research, Elsevier, vol. 117(1), pages 100-112, August.
    47. Faez, F. & Ghodsypour, S.H. & O'Brien, C., 2009. "Vendor selection and order allocation using an integrated fuzzy case-based reasoning and mathematical programming model," International Journal of Production Economics, Elsevier, vol. 121(2), pages 395-408, October.
    48. Liu, Shiang-Tai & Kao, Chiang, 2004. "Solving fuzzy transportation problems based on extension principle," European Journal of Operational Research, Elsevier, vol. 153(3), pages 661-674, March.
    49. Xie, Ying & Petrovic, Dobrila & Burnham, Keith, 2006. "A heuristic procedure for the two-level control of serial supply chains under fuzzy customer demand," International Journal of Production Economics, Elsevier, vol. 102(1), pages 37-50, July.
    50. Thomassey, Sebastien & Happiette, Michel & Castelain, Jean Marie, 2005. "A short and mean-term automatic forecasting system--application to textile logistics," European Journal of Operational Research, Elsevier, vol. 161(1), pages 275-284, February.
    51. Bottani, Eleonora & Rizzi, Antonio, 2008. "An adapted multi-criteria approach to suppliers and products selection--An application oriented to lead-time reduction," International Journal of Production Economics, Elsevier, vol. 111(2), pages 763-781, February.
    52. Hua Tan, Kim & Peng Lim, Chee & Platts, Ken & Shen Koay, Hooi, 2006. "An intelligent decision support system for manufacturing technology investments," International Journal of Production Economics, Elsevier, vol. 104(1), pages 179-190, November.
    53. Sheu, Jiuh-Biing, 2008. "A hybrid neuro-fuzzy analytical approach to mode choice of global logistics management," European Journal of Operational Research, Elsevier, vol. 189(3), pages 971-986, September.
    54. Chan, Felix T. S. & Jiang, Bing & Tang, Nelson K. H., 2000. "The development of intelligent decision support tools to aid the design of flexible manufacturing systems," International Journal of Production Economics, Elsevier, vol. 65(1), pages 73-84, April.
    55. Anglani, Alfredo & Grieco, Antonio & Guerriero, Emanuela & Musmanno, Roberto, 2005. "Robust scheduling of parallel machines with sequence-dependent set-up costs," European Journal of Operational Research, Elsevier, vol. 161(3), pages 704-720, March.
    56. Slyeptsov, Anatoliy I. & Tyshchuk, Tetyana A., 2003. "Fuzzy temporal characteristics of operations for project management on the network models basis," European Journal of Operational Research, Elsevier, vol. 147(2), pages 253-265, June.
    57. K A H Kobbacy & S Vadera & M H Rasmy, 2007. "AI and OR in management of operations: history and trends," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 58(1), pages 10-28, January.
    58. Handfield, Robert & Warsing, Don & Wu, Xinmin, 2009. "(Q,r) Inventory policies in a fuzzy uncertain supply chain environment," European Journal of Operational Research, Elsevier, vol. 197(2), pages 609-619, September.
    59. Chen, Yizeng & Fung, Richard Y.K. & Tang, Jiafu, 2006. "Rating technical attributes in fuzzy QFD by integrating fuzzy weighted average method and fuzzy expected value operator," European Journal of Operational Research, Elsevier, vol. 174(3), pages 1553-1566, November.
    60. Zhu, Ke-Jun & Jing, Yu & Chang, Da-Yong, 1999. "A discussion on Extent Analysis Method and applications of fuzzy AHP," European Journal of Operational Research, Elsevier, vol. 116(2), pages 450-456, July.
    61. Fernandez, Eduardo & Navarro, Jorge & Bernal, Sergio, 2009. "Multicriteria sorting using a valued indifference relation under a preference disaggregation paradigm," European Journal of Operational Research, Elsevier, vol. 198(2), pages 602-609, October.
    62. Becher, Michael, 2009. "Simultaneous capacity and price control based on fuzzy controllers," International Journal of Production Economics, Elsevier, vol. 121(2), pages 365-382, October.
    63. Giannoccaro, Ilaria & Pontrandolfo, Pierpaolo & Scozzi, Barbara, 2003. "A fuzzy echelon approach for inventory management in supply chains," European Journal of Operational Research, Elsevier, vol. 149(1), pages 185-196, August.
    64. Munda, Giuseppe, 2009. "A conflict analysis approach for illuminating distributional issues in sustainability policy," European Journal of Operational Research, Elsevier, vol. 194(1), pages 307-322, April.
    65. Bonfatti, M. & Caridi, M. & Schiavina, L., 2006. "A fuzzy model for load-oriented manufacturing control," International Journal of Production Economics, Elsevier, vol. 104(2), pages 502-513, December.
    66. Abd El-Wahed, Waiel F. & Lee, Sang M., 2006. "Interactive fuzzy goal programming for multi-objective transportation problems," Omega, Elsevier, vol. 34(2), pages 158-166, April.
    67. Cheng, Jinliang & Steiner, George & Stephenson, Paul, 2001. "A computational study with a new algorithm for the three-machine permutation flow-shop problem with release times," European Journal of Operational Research, Elsevier, vol. 130(3), pages 559-575, May.
    68. Wang, Juite, 2004. "A fuzzy robust scheduling approach for product development projects," European Journal of Operational Research, Elsevier, vol. 152(1), pages 180-194, January.
    69. Kunsch, P. & Springael, J., 2008. "Simulation with system dynamics and fuzzy reasoning of a tax policy to reduce CO2 emissions in the residential sector," European Journal of Operational Research, Elsevier, vol. 185(3), pages 1285-1299, March.
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