IDEAS home Printed from https://ideas.repec.org/a/eee/proeco/v131y2011i2p709-720.html
   My bibliography  Save this article

A class of chance constrained multiobjective linear programming with birandom coefficients and its application to vendors selection

Author

Listed:
  • Xu, Jiuping
  • Ding, Can

Abstract

In this paper, a class of chance constrained multiobjective linear programming model with birandom coefficients is considered for vendor selection problem. Firstly we present a crisp equivalent model for a special case and give a traditional method for crisp model. Then, the technique of birandom simulation is applied to deal with general birandom objective functions and birandom constraints which are usually difficult to be converted into their crisp equivalents. Furthermore, a genetic algorithm based on birandom simulation is designed for solving a birandom multiobjective vendor selection problem. Finally, a real numbers example is given. The paper makes certain contribution in both theoretical and application research related to multiobjective chance constrained programming, as well as in the study of vendor selection problem under uncertain environment.

Suggested Citation

  • Xu, Jiuping & Ding, Can, 2011. "A class of chance constrained multiobjective linear programming with birandom coefficients and its application to vendors selection," International Journal of Production Economics, Elsevier, vol. 131(2), pages 709-720, June.
    • Handle: RePEc:eee:proeco:v:131:y:2011:i:2:p:709-720
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0925-5273(11)00078-8
    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. Gheidar Kheljani, J. & Ghodsypour, S.H. & O'Brien, C., 2009. "Optimizing whole supply chain benefit versus buyer's benefit through supplier selection," International Journal of Production Economics, Elsevier, vol. 121(2), pages 482-493, October.
    2. 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.
    3. Liao, Zhiying & Rittscher, Jens, 2007. "A multi-objective supplier selection model under stochastic demand conditions," International Journal of Production Economics, Elsevier, vol. 105(1), pages 150-159, January.
    4. Amid, A. & Ghodsypour, S.H. & O'Brien, C., 2006. "Fuzzy multiobjective linear model for supplier selection in a supply chain," International Journal of Production Economics, Elsevier, vol. 104(2), pages 394-407, December.
    5. Weber, Charles A. & Current, John R. & Benton, W. C., 1991. "Vendor selection criteria and methods," European Journal of Operational Research, Elsevier, vol. 50(1), pages 2-18, January.
    6. A. Charnes & W. W. Cooper, 1959. "Chance-Constrained Programming," Management Science, INFORMS, vol. 6(1), pages 73-79, October.
    7. 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.
    8. Kumar, Manoj & Vrat, Prem & Shankar, Ravi, 2006. "A fuzzy programming approach for vendor selection problem in a supply chain," International Journal of Production Economics, Elsevier, vol. 101(2), pages 273-285, June.
    9. Jewel S. Bonser & S. David Wu, 2001. "Procurement Planning to Maintain Both Short-Term Adaptiveness and Long-Term Perspective," Management Science, INFORMS, vol. 47(6), pages 769-786, June.
    10. Zhang, Ju-liang & Zhang, Ming-yu, 2011. "Supplier selection and purchase problem with fixed cost and constrained order quantities under stochastic demand," International Journal of Production Economics, Elsevier, vol. 129(1), pages 1-7, January.
    11. Awasthi, A. & Chauhan, S.S. & Goyal, S.K. & Proth, Jean-Marie, 2009. "Supplier selection problem for a single manufacturing unit under stochastic demand," International Journal of Production Economics, Elsevier, vol. 117(1), pages 229-233, January.
    12. Awasthi, Anjali & Chauhan, Satyaveer S. & Goyal, S.K., 2010. "A fuzzy multicriteria approach for evaluating environmental performance of suppliers," International Journal of Production Economics, Elsevier, vol. 126(2), pages 370-378, August.
    13. Bai, Chunguang & Sarkis, Joseph, 2010. "Integrating sustainability into supplier selection with grey system and rough set methodologies," International Journal of Production Economics, Elsevier, vol. 124(1), pages 252-264, 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. Xu, Jiuping & Tao, Zhimiao, 2012. "A class of multi-objective equilibrium chance maximization model with twofold random phenomenon and its application to hydropower station operation," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 85(C), pages 11-33.
    2. Ni, Jingneng & Xu, Jiuping & Zhang, Mengxiang, 2018. "Constructed wetland modelling for watershed ecosystem protection under a certain economic load: A case study at the Chaohu Lake watershed, China," Ecological Modelling, Elsevier, vol. 368(C), pages 180-190.

    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. Lin, Rong-Ho, 2012. "An integrated model for supplier selection under a fuzzy situation," International Journal of Production Economics, Elsevier, vol. 138(1), pages 55-61.
    2. Mohammed, Ahmed & Harris, Irina & Govindan, Kannan, 2019. "A hybrid MCDM-FMOO approach for sustainable supplier selection and order allocation," International Journal of Production Economics, Elsevier, vol. 217(C), pages 171-184.
    3. Hosseininasab, Amin & Ahmadi, Abbas, 2015. "Selecting a supplier portfolio with value, development, and risk consideration," European Journal of Operational Research, Elsevier, vol. 245(1), pages 146-156.
    4. Guo, Cong & Li, Xueping, 2014. "A multi-echelon inventory system with supplier selection and order allocation under stochastic demand," International Journal of Production Economics, Elsevier, vol. 151(C), pages 37-47.
    5. Ching-Ter Chang & Huang-Mu Chen & Zheng-Yun Zhuang, 2014. "Integrated multi-choice goal programming and multi-segment goal programming for supplier selection considering imperfect-quality and price-quantity discounts in a multiple sourcing environment," International Journal of Systems Science, Taylor & Francis Journals, vol. 45(5), pages 1101-1111, May.
    6. Wetzstein, Anton & Hartmann, Evi & Benton jr., W.C. & Hohenstein, Nils-Ole, 2016. "A systematic assessment of supplier selection literature – State-of-the-art and future scope," International Journal of Production Economics, Elsevier, vol. 182(C), pages 304-323.
    7. James J.H. Liou & Jolanta Tamošaitienė & Edmundas K. Zavadskas & Gwo-Hshiung Tzeng, 2016. "New hybrid COPRAS-G MADM Model for improving and selecting suppliers in green supply chain management," International Journal of Production Research, Taylor & Francis Journals, vol. 54(1), pages 114-134, January.
    8. Alptekin Ulutaş & Ayşe Topal & Dragan Pamučar & Željko Stević & Darjan Karabašević & Gabrijela Popović, 2022. "A New Integrated Multi-Criteria Decision-Making Model for Sustainable Supplier Selection Based on a Novel Grey WISP and Grey BWM Methods," Sustainability, MDPI, vol. 14(24), pages 1-20, December.
    9. Scott, James & Ho, William & Dey, Prasanta K. & Talluri, Srinivas, 2015. "A decision support system for supplier selection and order allocation in stochastic, multi-stakeholder and multi-criteria environments," International Journal of Production Economics, Elsevier, vol. 166(C), pages 226-237.
    10. Dobos, Imre & Vörösmarty, Gyöngyi, 2014. "Green supplier selection and evaluation using DEA-type composite indicators," International Journal of Production Economics, Elsevier, vol. 157(C), pages 273-278.
    11. Bilsel, R. Ufuk & Ravindran, A., 2011. "A multiobjective chance constrained programming model for supplier selection under uncertainty," Transportation Research Part B: Methodological, Elsevier, vol. 45(8), pages 1284-1300, September.
    12. Faiza Hamdi & Ahmed Ghorbel & Faouzi Masmoudi & Lionel Dupont, 2018. "Optimization of a supply portfolio in the context of supply chain risk management: literature review," Journal of Intelligent Manufacturing, Springer, vol. 29(4), pages 763-788, April.
    13. Woo, Hong Seng & Saghiri, Soroosh, 2011. "Order assignment considering buyer, third-party logistics provider, and suppliers," International Journal of Production Economics, Elsevier, vol. 130(2), pages 144-152, April.
    14. Kannan Govindan & R. Sivakumar, 2016. "Green supplier selection and order allocation in a low-carbon paper industry: integrated multi-criteria heterogeneous decision-making and multi-objective linear programming approaches," Annals of Operations Research, Springer, vol. 238(1), pages 243-276, March.
    15. Kannan Govindan & R. Sivakumar, 2016. "Green supplier selection and order allocation in a low-carbon paper industry: integrated multi-criteria heterogeneous decision-making and multi-objective linear programming approaches," Annals of Operations Research, Springer, vol. 238(1), pages 243-276, March.
    16. Xu, Jianjun & Keblis, Matthew F. & Feng, Youyi & Chang, Yanling, 2017. "Optimal sourcing from a pool of suppliers with nonidentical salvage values," International Journal of Production Economics, Elsevier, vol. 193(C), pages 392-405.
    17. Xiongyong Zhou & Zhiduan Xu, 2018. "An Integrated Sustainable Supplier Selection Approach Based on Hybrid Information Aggregation," Sustainability, MDPI, vol. 10(7), pages 1-49, July.
    18. Irfan Ali & Armin Fügenschuh & Srikant Gupta & Umar Muhammad Modibbo, 2020. "The LR-Type Fuzzy Multi-Objective Vendor Selection Problem in Supply Chain Management," Mathematics, MDPI, vol. 8(9), pages 1-25, September.
    19. Saheeb Ahmed Kayani & Salman Sagheer Warsi & Raja Awais Liaqait, 2023. "A Smart Decision Support Framework for Sustainable and Resilient Supplier Selection and Order Allocation in the Pharmaceutical Industry," Sustainability, MDPI, vol. 15(7), pages 1-30, March.
    20. Araz, Ceyhun & Ozkarahan, Irem, 2007. "Supplier evaluation and management system for strategic sourcing based on a new multicriteria sorting procedure," International Journal of Production Economics, Elsevier, vol. 106(2), pages 585-606, April.

    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:131:y:2011:i:2:p:709-720. 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.