IDEAS home Printed from https://ideas.repec.org/a/eee/proeco/v132y2011i2p258-270.html
   My bibliography  Save this article

Fuzzy logic in manufacturing: A review of literature and a specialized application

Author

Listed:
  • Azadegan, Arash
  • Porobic, Lejla
  • Ghazinoory, Sepehr
  • Samouei, Parvaneh
  • Saman Kheirkhah, Amir

Abstract

Manufacturing decisions inherently face uncertainties and imprecision. Fuzzy logic, and tools based on fuzzy logic, allow for the inclusion of uncertainties and imperfect information in decision making models, making them well suited for manufacturing decisions. In this study, we first review the progression in the use of fuzzy tools in tackling different manufacturing issues during the past two decades. We then apply fuzzy linear programming to a less emphasized, but important issue in manufacturing, namely that of product mix prioritization. The proposed algorithm, based on linear programming with fuzzy constraints and integer variables, provides several advantages to existing algorithm as it carries increased ease in understanding, in use, and provides flexibility in its application.

Suggested Citation

  • Azadegan, Arash & Porobic, Lejla & Ghazinoory, Sepehr & Samouei, Parvaneh & Saman Kheirkhah, Amir, 2011. "Fuzzy logic in manufacturing: A review of literature and a specialized application," International Journal of Production Economics, Elsevier, vol. 132(2), pages 258-270, August.
    • Handle: RePEc:eee:proeco:v:132:y:2011:i:2:p:258-270
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0925527311001939
    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. 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. Dehayem Nodem, F.I. & Kenne, J.P. & Gharbi, A., 2009. "Hierarchical decision making in production and repair/replacement planning with imperfect repairs under uncertainties," European Journal of Operational Research, Elsevier, vol. 198(1), pages 173-189, October.
    3. Bottani, Eleonora, 2009. "A fuzzy QFD approach to achieve agility," International Journal of Production Economics, Elsevier, vol. 119(2), pages 380-391, June.
    4. Tan, K. K. & Tang, K. Z., 2001. "Vehicle dispatching system based on Taguchi-tuned fuzzy rules," European Journal of Operational Research, Elsevier, vol. 128(3), pages 545-557, February.
    5. 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.
    6. Temponi, Cecilia & Yen, John & Amos Tiao, W., 1999. "House of quality: A fuzzy logic-based requirements analysis," European Journal of Operational Research, Elsevier, vol. 117(2), pages 340-354, September.
    7. Jain, Vipul & Deshmukh, S.G., 2009. "Dynamic supply chain modeling using a new fuzzy hybrid negotiation mechanism," International Journal of Production Economics, Elsevier, vol. 122(1), pages 319-328, November.
    8. Geneste, L. & Grabot, B. & Letouzey, A., 2003. "Scheduling uncertain orders in the customer-subcontractor context," European Journal of Operational Research, Elsevier, vol. 147(2), pages 297-311, June.
    9. Al-Najjar, Basim & Alsyouf, Imad, 2003. "Selecting the most efficient maintenance approach using fuzzy multiple criteria decision making," International Journal of Production Economics, Elsevier, vol. 84(1), pages 85-100, April.
    10. Mascle, Christian & Zhao, Hong Ping, 2008. "Integrating environmental consciousness in product/process development based on life-cycle thinking," International Journal of Production Economics, Elsevier, vol. 112(1), pages 5-17, March.
    11. Narayanaswamy, Pradeep & Bector, C. R. & Rajamani, Divakar, 1996. "Fuzzy logic concepts applied to machine--component matrix formation in cellular manufacturing," European Journal of Operational Research, Elsevier, vol. 93(1), pages 88-97, August.
    12. Beskese, Ahmet & Kahraman, Cengiz & Irani, Zahir, 2004. "Quantification of flexibility in advanced manufacturing systems using fuzzy concept," International Journal of Production Economics, Elsevier, vol. 89(1), pages 45-56, May.
    13. 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.
    14. Weck, M. & Klocke, F. & Schell, H. & Ruenauver, E., 1997. "Evaluating alternative production cycles using the extended fuzzy AHP method," European Journal of Operational Research, Elsevier, vol. 100(2), pages 351-366, July.
    15. Bhattacharya, Arijit & Vasant, Pandian, 2007. "Soft-sensing of level of satisfaction in TOC product-mix decision heuristic using robust fuzzy-LP," European Journal of Operational Research, Elsevier, vol. 177(1), pages 55-70, February.
    16. Lin, Ching-Torng & Chiu, Hero & Chu, Po-Young, 2006. "Agility index in the supply chain," International Journal of Production Economics, Elsevier, vol. 100(2), pages 285-299, April.
    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. Scaringella, Laurent & Burtschell, François, 2017. "The challenges of radical innovation in Iran: Knowledge transfer and absorptive capacity highlights — Evidence from a joint venture in the construction sector," Technological Forecasting and Social Change, Elsevier, vol. 122(C), pages 151-169.
    2. Caiado, Rodrigo Goyannes Gusmão & Scavarda, Luiz Felipe & Gavião, Luiz Octávio & Ivson, Paulo & Nascimento, Daniel Luiz de Mattos & Garza-Reyes, Jose Arturo, 2021. "A fuzzy rule-based industry 4.0 maturity model for operations and supply chain management," International Journal of Production Economics, Elsevier, vol. 231(C).
    3. Garvey, Myles D. & Carnovale, Steven & Yeniyurt, Sengun, 2015. "An analytical framework for supply network risk propagation: A Bayesian network approach," European Journal of Operational Research, Elsevier, vol. 243(2), pages 618-627.
    4. Osterrieder, Philipp & Budde, Lukas & Friedli, Thomas, 2020. "The smart factory as a key construct of industry 4.0: A systematic literature review," International Journal of Production Economics, Elsevier, vol. 221(C).
    5. Tomasz Korol & Anestis Fotiadis, 2016. "Applying Fuzzy Logic of Expert Knowledge for Accurate Predictive Algorithms of Customer Traffic Flows in Theme Parks," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 15(06), pages 1451-1468, November.
    6. Prasert Aengchuan & Busaba Phruksaphanrat, 2018. "Comparison of fuzzy inference system (FIS), FIS with artificial neural networks (FIS + ANN) and FIS with adaptive neuro-fuzzy inference system (FIS + ANFIS) for inventory control," Journal of Intelligent Manufacturing, Springer, vol. 29(4), pages 905-923, April.
    7. Sujit Singh & Ezutah Udoncy Olugu & Siti Nurmaya Musa & Abu Bakar Mahat, 2018. "Fuzzy-based sustainability evaluation method for manufacturing SMEs using balanced scorecard framework," Journal of Intelligent Manufacturing, Springer, vol. 29(1), pages 1-18, January.
    8. Masoumi, A.P. & Tavakolpour-Saleh, A.R. & Rahideh, A., 2020. "Applying a genetic-fuzzy control scheme to an active free piston Stirling engine: Design and experiment," Applied Energy, Elsevier, vol. 268(C).
    9. C. Dai & Y. Cai & Y. Liu & W. Wang & H. Guo, 2015. "A Generalized Interval Fuzzy Chance-Constrained Programming Method for Domestic Wastewater Management Under Uncertainty – A Case Study of Kunming, China," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 29(9), pages 3015-3036, July.
    10. Chao-chao Liu & Zhan-wen Niu & Pei-Chann Chang & Bo Zhang, 2017. "Assessment approach to stage of lean transformation cycle based on fuzzy nearness degree and TOPSIS," International Journal of Production Research, Taylor & Francis Journals, vol. 55(23), pages 7223-7235, December.
    11. Mohammed Jama & Addy Wahyudie & Ali Assi & Hassan Noura, 2014. "An Intelligent Fuzzy Logic Controller for Maximum Power Capture of Point Absorbers," Energies, MDPI, vol. 7(6), pages 1-21, June.
    12. Haji Vahabzadeh, Ali & Asiaei, Arash & Zailani, Suhaiza, 2015. "Green decision-making model in reverse logistics using FUZZY-VIKOR method," Resources, Conservation & Recycling, Elsevier, vol. 103(C), pages 125-138.
    13. Eric Lucas dos Santos Cabral & Mario Orestes Aguirre Gonzalez & Priscila da Cunha Jacome Vidal & Joao Florencio da Costa Junior & Rafael Monteiro de Vasconcelos & David Cassimiro de Melo & Ruan Lucas , 2024. "Optimization Models for Operations and Maintenance of Offshore Wind Turbines Based on Artificial Intelligence and Operations Research: A Systematic Literature Review," International Journal of Business and Management, Canadian Center of Science and Education, vol. 19(3), pages 1-1, June.
    14. Junfeng Wang & Zicheng Fei & Qing Chang & Shiqi Li, 2019. "Energy Saving Operation of Manufacturing System Based on Dynamic Adaptive Fuzzy Reasoning Petri Net," Energies, MDPI, vol. 12(11), pages 1-17, June.
    15. David Opresnik & Maurizio Fiasché & Marco Taisch & Manuel Hirsch, 2017. "An evolving fuzzy inference system for extraction of rule set for planning a product–service strategy," Information Technology and Management, Springer, vol. 18(2), pages 131-147, June.
    16. David Opresnik & Maurizio Fiasché & Marco Taisch & Manuel Hirsch, 0. "An evolving fuzzy inference system for extraction of rule set for planning a product–service strategy," Information Technology and Management, Springer, vol. 0, pages 1-17.
    17. Haji Vahabzadeh, Ali & Asiaei, Arash & Zailani, Suhaiza, 2015. "Reprint of “Green decision-making model in reverse logistics using FUZZY-VIKOR method”," Resources, Conservation & Recycling, Elsevier, vol. 104(PB), pages 334-347.
    18. 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.

    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. 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.
    2. Lin, Ching-Torng & Chiu, Hero & Tseng, Yi-Hong, 2006. "Agility evaluation using fuzzy logic," International Journal of Production Economics, Elsevier, vol. 101(2), pages 353-368, June.
    3. Ayoub Al-Zabidi & Ateekh Ur Rehman & Mohammed Alkahtani, 2021. "An Approach to Assess Sustainable Supply Chain Agility for a Manufacturing Organization," Sustainability, MDPI, vol. 13(4), pages 1-19, February.
    4. Bottani, Eleonora, 2010. "Profile and enablers of agile companies: An empirical investigation," International Journal of Production Economics, Elsevier, vol. 125(2), pages 251-261, June.
    5. Gajanan Panchal & Vipul Jain & Naoufel Cheikhrouhou & Matthias Gurtner, 2017. "Equilibrium analysis in multi-echelon supply chain with multi-dimensional utilities of inertial players," Journal of Revenue and Pricing Management, Palgrave Macmillan, vol. 16(4), pages 417-436, August.
    6. Alison Ashby, 2016. "From global to local: reshoring for sustainability," Operations Management Research, Springer, vol. 9(3), pages 75-88, December.
    7. Vlachokostas, Ch. & Michailidou, A.V. & Achillas, Ch., 2021. "Multi-Criteria Decision Analysis towards promoting Waste-to-Energy Management Strategies: A critical review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 138(C).
    8. Sujan Piya & Ahm Shamsuzzoha & Mohammad Khadem & Nasr Al-Hinai, 2020. "Identification of Critical Factors and Their Interrelationships to Design Agile Supply Chain: Special Focus to Oil and Gas Industries," Global Journal of Flexible Systems Management, Springer;Global Institute of Flexible Systems Management, vol. 21(3), pages 263-281, September.
    9. Seebacher, Gottfried & Winkler, Herwig, 2014. "Evaluating flexibility in discrete manufacturing based on performance and efficiency," International Journal of Production Economics, Elsevier, vol. 153(C), pages 340-351.
    10. Ganga, Gilberto Miller Devós & Carpinetti, Luiz Cesar Ribeiro, 2011. "A fuzzy logic approach to supply chain performance management," International Journal of Production Economics, Elsevier, vol. 134(1), pages 177-187, November.
    11. Chia-Nan Wang & Ngoc-Ai-Thy Nguyen & Thanh-Tuan Dang & Chen-Ming Lu, 2021. "A Compromised Decision-Making Approach to Third-Party Logistics Selection in Sustainable Supply Chain Using Fuzzy AHP and Fuzzy VIKOR Methods," Mathematics, MDPI, vol. 9(8), pages 1-27, April.
    12. Chun-Che Huang & Wen-Yau Liang & Shan-Ru Yi, 2017. "Cloud-based design for disassembly to create environmentally friendly products," Journal of Intelligent Manufacturing, Springer, vol. 28(5), pages 1203-1218, June.
    13. Ram Avtar & Netrananda Sahu & Ashwani Kumar Aggarwal & Shamik Chakraborty & Ali Kharrazi & Ali P. Yunus & Jie Dou & Tonni Agustiono Kurniawan, 2019. "Exploring Renewable Energy Resources Using Remote Sensing and GIS—A Review," Resources, MDPI, vol. 8(3), pages 1-23, August.
    14. J-B Yang & D-L Xu & X Xie & A K Maddulapalli, 2011. "Multicriteria evidential reasoning decision modelling and analysis—prioritizing voices of customer," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 62(9), pages 1638-1654, September.
    15. Monideepa Tarafdar & Sufian Qrunfleh, 2017. "Agile supply chain strategy and supply chain performance: complementary roles of supply chain practices and information systems capability for agility," International Journal of Production Research, Taylor & Francis Journals, vol. 55(4), pages 925-938, February.
    16. Somayeh Shafaghizadeh & Seyed Mojtaba Sajadi, 2023. "Ranking Agility Factors to Reliably Sustain a Green Industrial Supply Chain Using the Fuzzy Analytic Network Process and Ordinal Priority Approach," Sustainability, MDPI, vol. 15(22), pages 1-28, November.
    17. Pinjala, Srinivas Kumar & Pintelon, Liliane & Vereecke, Ann, 2006. "An empirical investigation on the relationship between business and maintenance strategies," International Journal of Production Economics, Elsevier, vol. 104(1), pages 214-229, November.
    18. Wang, Xiaojun & Chan, Hing Kai & Li, Dong, 2015. "A case study of an integrated fuzzy methodology for green product development," European Journal of Operational Research, Elsevier, vol. 241(1), pages 212-223.
    19. Amin, Gholam R. & Ibn Boamah, Mustapha, 2023. "Modeling business partnerships: A data envelopment analysis approach," European Journal of Operational Research, Elsevier, vol. 305(1), pages 329-337.
    20. Qi Wang & Dunbing Tang & Shipei Li & Jun Yang & Miguel A. Salido & Adriana Giret & Haihua Zhu, 2019. "An Optimization Approach for the Coordinated Low-Carbon Design of Product Family and Remanufactured Products," Sustainability, MDPI, vol. 11(2), pages 1-22, January.

    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:132:y:2011:i:2:p:258-270. 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.