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

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 t...

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Bibliographic Details
Published in:Annals of operations research Vol. 311; no. 2; pp. 551 - 585
Main Author: Ahmad, Firoz
Format: Journal Article
Language:English
Published: New York Springer US 01.04.2022
Springer
Springer Nature B.V
Subjects:
Business and Management
Combinatorics
Decision making
Fuzzy logic
Fuzzy sets
Logistics
Mathematical optimization
Mathematical programming
Multiple criteria decision making
Multiple objective analysis
Operations research
Operations Research/Decision Theory
Optimization models
Optimization techniques
Pharmaceutical industry
Pharmaceuticals
S.i.: Mopgp19
Sensitivity analysis
Supply chain management
Supply chains
Technology application
Theory of Computation
India
Neutrosophic optimization methods
Intuitionistic fuzzy parameters
Multiobjective programming problem
Pharmaceutical supply chain management
ISSN:0254-5330, 1572-9338
Online Access:Get full text
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Summary: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.
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ISSN:0254-5330
1572-9338
DOI:10.1007/s10479-021-03997-2