IDEAS home Printed from https://ideas.repec.org/a/eee/proeco/v79y2002i2p101-111.html
   My bibliography  Save this article

A fuzzy multiple objective programming approach for the selection of a flexible manufacturing system

Author

Listed:
  • Karsak, E. Ertugrul
  • Kuzgunkaya, Onur

Abstract

No abstract is available for this item.

Suggested Citation

  • Karsak, E. Ertugrul & Kuzgunkaya, Onur, 2002. "A fuzzy multiple objective programming approach for the selection of a flexible manufacturing system," International Journal of Production Economics, Elsevier, vol. 79(2), pages 101-111, September.
    • Handle: RePEc:eee:proeco:v:79:y:2002:i:2:p:101-111
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0925-5273(00)00157-2
    Download Restriction: Full text for ScienceDirect subscribers only
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. R. E. Bellman & L. A. Zadeh, 1970. "Decision-Making in a Fuzzy Environment," Management Science, INFORMS, vol. 17(4), pages 141-164, December.
    2. Perrone, Giovanni & La Diega, Sergio Noto, 1996. "Strategic FMS design under uncertainty: A fuzzy set theory based model," International Journal of Production Economics, Elsevier, vol. 46(1), pages 549-561, December.
    3. Myint, San & Tabucanon, Mario T., 1994. "A multiple-criteria approach to machine selection for flexible manufacturing systems," International Journal of Production Economics, Elsevier, vol. 33(1-3), pages 121-131, January.
    4. Shang, Jen & Sueyoshi, Toshiyuki, 1995. "A unified framework for the selection of a Flexible Manufacturing System," European Journal of Operational Research, Elsevier, vol. 85(2), pages 297-315, September.
    5. Hintz, G. W. & Zimmermann, H. -J., 1989. "A method to control flexible manufacturing systems," European Journal of Operational Research, Elsevier, vol. 41(3), pages 321-334, August.
    6. J. A. Buzacott & David D. Yao, 1986. "Flexible Manufacturing Systems: A Review of Analytical Models," Management Science, INFORMS, vol. 32(7), pages 890-905, July.
    7. Small, Michael H. & Chen, Injazz J., 1997. "Economic and strategic justification of AMT inferences from industrial practices," International Journal of Production Economics, Elsevier, vol. 49(1), pages 65-75, March.
    8. Kusiak, Andrew, 1986. "Application of operational research models and techniques in flexible manufacturing systems," European Journal of Operational Research, Elsevier, vol. 24(3), pages 336-345, March.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Sujeet Kumar Singh & Deepika Rani, 2019. "A branching algorithm to solve binary problem in uncertain environment: an application in machine allocation problem," OPSEARCH, Springer;Operational Research Society of India, vol. 56(3), pages 1007-1023, September.
    2. Kapil Mittal & Puran Chandra Tewari & Dinesh Khanduja, 2017. "On the right approach to selecting a quality improvement project in manufacturing industries," Operations Research and Decisions, Wroclaw University of Science and Technology, Faculty of Management, vol. 27(1), pages 105-124.
    3. C. Dai & Y. P. Cai & W. T. Lu & H. Liu & H. C. Guo, 2016. "Conjunctive Water Use Optimization for Watershed-Lake Water Distribution System under Uncertainty: a Case Study," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 30(12), pages 4429-4449, September.
    4. Correll, David & Suzuki, Yoshinori & Martens, Bobby, 2014. "Biorenewable fuels at the intersection of product and process flexibility: A novel modeling approach and application," International Journal of Production Economics, Elsevier, vol. 150(C), pages 1-8.
    5. Lefley, Frank & Wharton, Frank & Hajek, Ladislav & Hynek, Josef & Janecek, Vaclav, 2004. "Manufacturing investments in the Czech Republic:: An international comparison," International Journal of Production Economics, Elsevier, vol. 88(1), pages 1-14, March.
    6. Dai, C. & Cai, Y.P. & Li, Y.P. & Sun, W. & Wang, X.W. & Guo, H.C., 2014. "Optimal strategies for carbon capture, utilization and storage based on an inexact mλ-measure fuzzy chance-constrained programming," Energy, Elsevier, vol. 78(C), pages 465-478.
    7. 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.
    8. Cinzia Colapinto & Raja Jayaraman & Simone Marsiglio, 2017. "Multi-criteria decision analysis with goal programming in engineering, management and social sciences: a state-of-the art review," Annals of Operations Research, Springer, vol. 251(1), pages 7-40, April.
    9. Süleyman Çakır, 2018. "An integrated approach to machine selection problem using fuzzy SMART-fuzzy weighted axiomatic design," Journal of Intelligent Manufacturing, Springer, vol. 29(7), pages 1433-1445, October.
    10. Wang, Chun-Hsien & Lu, Iuan-Yuan & Chen, Chin-Bein, 2010. "Integrating hierarchical balanced scorecard with non-additive fuzzy integral for evaluating high technology firm performance," International Journal of Production Economics, Elsevier, vol. 128(1), pages 413-426, November.
    11. Tomino, Takahiro & Park, Youngwon & Hong, Paul & Roh, James Jungbae, 2009. "Market flexible customizing system (MFCS) of Japanese vehicle manufacturers: An analysis of Toyota, Nissan and Mitsubishi," International Journal of Production Economics, Elsevier, vol. 118(2), pages 375-386, April.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Ertugrul Karsak, E. & Tolga, Ethem, 2001. "Fuzzy multi-criteria decision-making procedure for evaluating advanced manufacturing system investments," International Journal of Production Economics, Elsevier, vol. 69(1), pages 49-64, January.
    2. Paulli, Jan, 1995. "A hierarchical approach for the FMS scheduling problem," European Journal of Operational Research, Elsevier, vol. 86(1), pages 32-42, October.
    3. Ertay, Tijen & Ruan, Da, 2005. "Data envelopment analysis based decision model for optimal operator allocation in CMS," European Journal of Operational Research, Elsevier, vol. 164(3), pages 800-810, August.
    4. Tien-Fu Liang, 2012. "Integrated manufacturing/distribution planning decisions with multiple imprecise goals in an uncertain environment," Quality & Quantity: International Journal of Methodology, Springer, vol. 46(1), pages 137-153, January.
    5. Dubois, Didier & Fargier, Helene & Fortemps, Philippe, 2003. "Fuzzy scheduling: Modelling flexible constraints vs. coping with incomplete knowledge," European Journal of Operational Research, Elsevier, vol. 147(2), pages 231-252, June.
    6. Surajit Nath & Bijan Sarkar, 2018. "Decision system framework for performance evaluation of advanced manufacturing technology under fuzzy environment," OPSEARCH, Springer;Operational Research Society of India, vol. 55(3), pages 703-720, November.
    7. Sushil, 2020. "Interpretive multi-criteria ranking of production systems with ordinal weights and transitive dominance relationships," Annals of Operations Research, Springer, vol. 290(1), pages 677-695, July.
    8. Gutierrez, Isabel & Carmona, Salvador, 1995. "Ambiguity in multicriteria quality decisions," International Journal of Production Economics, Elsevier, vol. 38(2-3), pages 215-224, March.
    9. Bai, Chunguang & Sarkis, Joseph, 2017. "Improving green flexibility through advanced manufacturing technology investment: Modeling the decision process," International Journal of Production Economics, Elsevier, vol. 188(C), pages 86-104.
    10. Vuciterna, Rina & Thomsen, Michael & Popp, Jennie & Musliu, Arben, 2017. "Efficiency and Competitiveness of Kosovo Raspberry Producers," 2017 Annual Meeting, February 4-7, 2017, Mobile, Alabama 252770, Southern Agricultural Economics Association.
    11. Berna Tektas Sivrikaya & Ferhan Cebi & Hasan Hüseyin Turan & Nihat Kasap & Dursun Delen, 2017. "A fuzzy long-term investment planning model for a GenCo in a hybrid electricity market considering climate change impacts," Information Systems Frontiers, Springer, vol. 19(5), pages 975-991, October.
    12. Collan, Mikael, 2008. "New Method for Real Option Valuation Using Fuzzy Numbers," Working Papers 466, IAMSR, Åbo Akademi.
    13. Kim, Jong Soon & Whang, Kyu-Seung, 1998. "A tolerance approach to the fuzzy goal programming problems with unbalanced triangular membership function," European Journal of Operational Research, Elsevier, vol. 107(3), pages 614-624, June.
    14. Berna Tektaş & Hasan Hüseyin Turan & Nihat Kasap & Ferhan Çebi & Dursun Delen, 2022. "A Fuzzy Prescriptive Analytics Approach to Power Generation Capacity Planning," Energies, MDPI, vol. 15(9), pages 1-26, April.
    15. Chen, Lisa Y. & Wang, Tien-Chin, 2009. "Optimizing partners' choice in IS/IT outsourcing projects: The strategic decision of fuzzy VIKOR," International Journal of Production Economics, Elsevier, vol. 120(1), pages 233-242, July.
    16. Víctor G. Alfaro-García & Anna M. Gil-Lafuente & Gerardo G. Alfaro Calderón, 2017. "A fuzzy approach to a municipality grouping model towards creation of synergies," Computational and Mathematical Organization Theory, Springer, vol. 23(3), pages 391-408, September.
    17. Aghayi, Nazila & Maleki, Bentolhoda, 2016. "Efficiency measurement of DMUs with undesirable outputs under uncertainty based on the directional distance function: Application on bank industry," Energy, Elsevier, vol. 112(C), pages 376-387.
    18. Wenyao Niu & Yuan Rong & Liying Yu & Lu Huang, 2022. "A Novel Hybrid Group Decision Making Approach Based on EDAS and Regret Theory under a Fermatean Cubic Fuzzy Environment," Mathematics, MDPI, vol. 10(17), pages 1-30, August.
    19. de Andres-Sanchez, Jorge, 2007. "Claim reserving with fuzzy regression and Taylor's geometric separation method," Insurance: Mathematics and Economics, Elsevier, vol. 40(1), pages 145-163, January.
    20. Mikhailov, L., 2004. "A fuzzy approach to deriving priorities from interval pairwise comparison judgements," European Journal of Operational Research, Elsevier, vol. 159(3), pages 687-704, December.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:proeco:v:79:y:2002:i:2:p:101-111. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/ijpe .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.