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

Ahmad, Firoz

doi:10.1007/s10479-021-03997-2

Cited by 20 publications

(9 citation statements)

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“…Embedding other tools of coherent risk measure like Conditional Value at Risk (CVaR) or Wang risk measure can tackle risks and uncertainty. Using novel uncertainty like data-driven robust optimization (Khalilpourazari & Hashemi Doulabi, 2021;Khalilpourazari & Pasandideh, 2021;Khalilpourazari et al, 2019;Lotfi, Kargar, Gharehbaghi, et al, 2022a) and neutrosophic optimization technique and learning approach (Mohammadi & Khalilpourazari, 2017) are very interesting for researchers (Ahmad, 2021).…”

Section: Discussionmentioning

confidence: 99%

Viable supply chain with vendor-managed inventory approach by considering blockchain, risk and robustness

et al. 2022

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This research shows a Viable Supply Chain with Vendor Managed Inventory approach by considering Blockchain, Risk, and Robustness. We embedded Blockchain Technology (BCT) to improve SC agility. To tackle risk and robustness, we suggest a new objective function with the weighted expected value, worst case, and Entropic Value at Risk for considering risk and robustness under different scenarios. This model is Mixed-Integer Linear Programming, and GAMS-Bonmin is utilized to solve it. The case study of this research is on the Pharmacy industry. We compare problems in the situation with BCT and without BCT. The results show that the cost function of the main problem without BCT is greater than the same problem with BCT, and its gaps are 0.61%. Finally, the cost function increase by increasing the conservative coefficient and decreasing the resiliency coefficient. The cost function reduces by increasing the confidence level. We change the scale of the problem and define problems. By increasing the scale of the problem, the solution time increased. KeywordsViable supply chain • Vendor managed inventory • Blockchain • Risk • Robustness B Reza Lotfi

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Section: Discussionmentioning

confidence: 99%

Viable supply chain with vendor-managed inventory approach by considering blockchain, risk and robustness

et al. 2022

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“…Wan et al [28] also investigated a hesitant fuzzy Preference Ranking Organization Method for Enrichment Evaluations for multicriteria group decision-making and applied it to green supplier selection. Ahmad [3,4], Ahmad and Smarandache [13] also discussed the multi-objective programming problems under neutrosophic environment.…”

Section: Introductionmentioning

confidence: 99%

A novel approach for the solution of multiobjective optimization problem using hesitant fuzzy aggregation operator

et al. 2022

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Many decision-making problems can solve successfully by traditional optimization methods with a well-defined configuration. The formulation of such optimization problems depends on crisply objective functions and a specific system of constraints. Nevertheless, in reality, in any decision-making process, it is often observed that due to some doubt or hesitation, it is pretty tricky for decision-maker(s) to specify the precise/crisp value of any parameters and compelled to take opinions from different experts which leads towards a set of conflicting values regarding satisfaction level of decision-maker(s). Therefore the real decision-making problem cannot always be deterministic. Various types of uncertainties in parameters make it fuzzy. This paper presents a practical mathematical framework to reflect the reality involved in any decision-making process. The proposed method has taken advantage of the hesitant fuzzy aggregation operator and presents a particular way to emerge in a decision-making process. For this purpose, we have discussed a couple of different hesitant fuzzy aggregation operators and developed linear and hyperbolic membership functions under hesitant fuzziness, which contains the concept of hesitant degrees for different objectives. Finally, an example based on a multiobjective optimization problem is presented to illustrate the validity and applicability of our proposed models.

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“…Due to uncertainty involved in subjectivity of human languages and also in natural matters we cannot exactly predict or define the results of these matters. Such types of real-life problems always demand special attentions for solution [34][35][36]. Fuzzy optimization methods simplify the frameworks comprising vagueness more than any probability based stochastic optimization [37][38][39][40][41][42].…”

Section: Introductionmentioning

confidence: 99%

Bipolar Interval-Valued Neutrosophic Optimization Model of Integrated Healthcare System

Khalil¹,

Kousar²,

Kausar³

et al. 2022

Computers, Materials &Amp; Continua

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Bipolar Interval-valued neutrosophic set is another generalization of fuzzy set, neutrosophic set, bipolar fuzzy set and bipolar neutrosophic set and thus when applied to the optimization problem handles uncertain data more efficiently and flexibly. Current work is an effort to design a flexible optimization model in the backdrop of interval-valued bipolar neutrosophic sets. Bipolar interval-valued neutrosophic membership grades are picked so that they indicate the restriction of the plausible infringement of the inequalities given in the problem. To prove the adequacy and effectiveness of the method a unified system of sustainable medical healthcare supply chain model with an uncertain figure of product complaints is used. Time, quality and cost are considered as satisfaction level to choose best supplier for medicine procurement. The proposed model ensures 99% satisfaction for cost reduction, 63% satisfaction for the quality of product and 64% satisfaction for total time taken in medicine supply chain.

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

Cited by 20 publications

References 50 publications

Viable supply chain with vendor-managed inventory approach by considering blockchain, risk and robustness

Viable supply chain with vendor-managed inventory approach by considering blockchain, risk and robustness

A novel approach for the solution of multiobjective optimization problem using hesitant fuzzy aggregation operator

Bipolar Interval-Valued Neutrosophic Optimization Model of Integrated Healthcare System

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