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Interactive neutrosophic optimization technique for multiobjective programming problems: an application to pharmaceutical supply chain management

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  • Firoz Ahmad

    (Aligarh Muslim University
    Indian Statistical Institute)

Abstract

Multiobjective optimization problems have a significant role in modeling and optimizing the framework of different real-life issues. It may not always be possible to obtain a single solution that satisfies each objective efficiently; however, there is ample opportunity to get a compromise solution to multiobjective programming problems (MOPPs). Neutrosophic set (NS) is the extension of fuzzy and intuitionistic fuzzy sets. Thus, based on NS, this study presents neutrosophic optimization models for MOPP under the neutrosophic fuzzy environment. We have developed three models while keeping in mind the maximal satisfactory degree of decision-maker(s). The proposed models are then applied to various discussed numerical examples, and solution results are compared with other approaches. Also, the propounded models are implemented in the pharmaceutical supply chain planning problem. The sensitivity analysis of the obtained outcomes at different criteria has been performed. At last, the conclusion and future research scope have been depicted effectively.

Suggested Citation

  • Firoz Ahmad, 2022. "Interactive neutrosophic optimization technique for multiobjective programming problems: an application to pharmaceutical supply chain management," Annals of Operations Research, Springer, vol. 311(2), pages 551-585, April.
    • Handle: RePEc:spr:annopr:v:311:y:2022:i:2:d:10.1007_s10479-021-03997-2
    DOI: 10.1007/s10479-021-03997-2
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    References listed on IDEAS

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    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. Firoz Ahmad & Ahmad Yusuf Adhami, 2019. "Total cost measures with probabilistic cost function under varying supply and demand in transportation problem," OPSEARCH, Springer;Operational Research Society of India, vol. 56(2), pages 583-602, June.
    3. Li, Shaoyuan & Hu, Chaofang, 2009. "Satisfying optimization method based on goal programming for fuzzy multiple objective optimization problem," European Journal of Operational Research, Elsevier, vol. 197(2), pages 675-684, September.
    4. Pramanik, Surapati & Roy, Tapan Kumar, 2007. "Fuzzy goal programming approach to multilevel programming problems," European Journal of Operational Research, Elsevier, vol. 176(2), pages 1151-1166, January.
    5. Sujeet Kumar Singh & Mark Goh, 2019. "Multi-objective mixed integer programming and an application in a pharmaceutical supply chain," International Journal of Production Research, Taylor & Francis Journals, vol. 57(4), pages 1214-1237, February.
    6. Arora, S.R. & Gupta, Ritu, 2009. "Interactive fuzzy goal programming approach for bilevel programming problem," European Journal of Operational Research, Elsevier, vol. 194(2), pages 368-376, April.
    7. Carlos Franco & Edgar Alfonso-Lizarazo, 2017. "A Structured Review of Quantitative Models of the Pharmaceutical Supply Chain," Complexity, Hindawi, vol. 2017, pages 1-13, December.
    8. Sujeet Kumar Singh & Shiv Prasad Yadav, 2018. "Intuitionistic fuzzy multi-objective linear programming problem with various membership functions," Annals of Operations Research, Springer, vol. 269(1), pages 693-707, October.
    9. Tilahun, Surafel Luleseged, 2019. "Feasibility reduction approach for hierarchical decision making with multiple objectives," Operations Research Perspectives, Elsevier, vol. 6(C).
    10. Abbas Ahmadi & Mohammad Mousazadeh & S. Ali Torabi & Mir Saman Pishvaee, 2018. "OR Applications in Pharmaceutical Supply Chain Management," International Series in Operations Research & Management Science, in: Cengiz Kahraman & Y. Ilker Topcu (ed.), Operations Research Applications in Health Care Management, chapter 0, pages 461-491, Springer.
    11. Settanni, Ettore & Harrington, Tomás Seosamh & Srai, Jagjit Singh, 2017. "Pharmaceutical supply chain models: A synthesis from a systems view of operations research," Operations Research Perspectives, Elsevier, vol. 4(C), pages 74-95.
    12. Chung, Sung Hoon & Kwon, Changhyun, 2016. "Integrated supply chain management for perishable products: Dynamics and oligopolistic competition perspectives with application to pharmaceuticals," International Journal of Production Economics, Elsevier, vol. 179(C), pages 117-129.
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