A neutrosophical model for optimal sustainable closed-loop supply chain network with considering inflation and carbon emission policies

Decision Making Applications in Management and Engineering, Год журнала: 2022, Номер 5(2), С. 46 - 77

Опубликована: Окт. 6, 2022

In this paper, a stable CLSC problem is modeled in conditions of uncertainty and indeterminacy. The SCN designed to maximize NPV minimize carbon releases by maintaining environment friendly policies accounting for the increase. To achieve suitable model designing CLSCN making important decisions such as selecting right suppliers, type transport, initialing facility, optimal flow between facilities, accomplishing an efficient solution decision making, neutrosophic optimization method used. results experiments that discuss evaluate different scenarios confirm efficiency validity proposed model. findings also show effective improvement obtained solutions reducing time up twenty percent can be responsible large-scale problems scenarios. This paper uses solve under

Язык: Английский

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Designing sustainable closed-loop supply chain network with considering spot-to-point inflation and carbon emission policies: A case study

Computers & Industrial Engineering, Год журнала: 2022, Номер 174, С. 108748 - 108748

Опубликована: Окт. 17, 2022

Язык: Английский

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Application of Optimization Techniques in the Dairy Supply Chain: A Systematic Review

Logistics, Год журнала: 2022, Номер 6(4), С. 74 - 74

Опубликована: Окт. 17, 2022

Background: The global dairy market is experiencing a massive transition as farming has recently undergone modernization. As result, the industry needs to improve its operational efficiencies by implementing effective optimization techniques. Conventional and emerging techniques have already gained momentum in industry. This study’s objective was explore developed for or implemented supply chain (DSC) investigate how these can DSC. Methods: A systematic review approach based on PRISMA guidelines were adopted conduct this review. authors used descriptive statistics statistical analysis. Results: Modernization led most Researchers mathematical modeling-based methods are shifting artificial intelligence (AI) machine learning (ML) -based approaches remain dominant (56% of articles), but AI ML-based gaining traction (used around 44% articles). Conclusions: findings show insight into benefits implications research shows associated with every phase DSC new technologies affected chain.

Язык: Английский

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Big data-driven optimization for sustainable reverse logistics network design

Journal of Ambient Intelligence and Humanized Computing, Год журнала: 2022, Номер 14(8), С. 10867 - 10882

Опубликована: Авг. 4, 2022

Язык: Английский

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Robust-heuristic-based optimisation for an engine oil sustainable supply chain network under uncertainty

International Journal of Production Research, Год журнала: 2022, Номер 61(4), С. 1313 - 1340

Опубликована: Окт. 13, 2022

This study configures various carbon regulation mechanisms to control emissions following clean technology strategies in engine oil production. Considering for designing a sustainable supply chain (SSC) the industry, two reduction policies, namely, capacity and tax, are discussed effects of environmental factors. A mixed-integer linear programming model that examines demand, technology, budget, constraints under several uncertainties is proposed production from petrochemical resources, refinery plant production, distribution system capacities. controls mitigates risk timing decisions output hybrid robust-heuristic-based method, wherein modified scenario-based GA used eliminate effect uncertainties. The results indicate high-quality convergence solutions different strategic scenarios. We successfully apply introduced address real-world (SC) industry. improves state-of-the-art models SC. Finally, finding shows managers can improve technologies with lowest possible cost, maximum product profitability, minimum losses process quality through tax policy reduce effects.

Язык: Английский

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Developing a sustainable forward supply chain configuration for construction industry under uncertainty condition: a case study

Clean Technologies and Environmental Policy, Год журнала: 2023, Номер 26(4), С. 1197 - 1225

Опубликована: Дек. 13, 2023

Язык: Английский

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A scenario-based sustainable dual-channel closed-loop supply chain design with pickup and delivery considering social conditions in a natural disaster under uncertainty: a real-life case study

Environment Development and Sustainability, Год журнала: 2023, Номер 26(8), С. 19443 - 19490

Опубликована: Июнь 8, 2023

Язык: Английский

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Integrating Perishables into Closed-Loop Supply Chains: A Comprehensive Review

Sustainability, Год журнала: 2024, Номер 16(15), С. 6705 - 6705

Опубликована: Авг. 5, 2024

In an era where sustainability and efficient resource utilization are paramount, the closed-loop supply chain (CLSC) emerges as a critical approach, particularly in context of perishable goods. The perishability products adds layer complexity to management, necessitating innovative strategies for maximizing product life minimizing waste. This comprehensive review article delves into integration within framework CLSC. study thoroughly examines existing research identify gaps outline future directions. It emphasizes unique challenges complexities managing goods, crucial but often overlooked component sustainable practices. highlights balance between efficiency sustainability, underscoring importance reverse logistics circular economy principles enhancing resilience. By synthesizing various methodologies findings, presents holistic view current state management CLSCs, offering valuable insights academia industry practitioners. not only contributes theoretical understanding also proposes practical approaches their optimization, aligning with broader goals.

Язык: Английский

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Cooperation and competition in an oligopolistic and mature industry: A case study on the cationic reagent industry based on an optimization model

Operations Research Perspectives, Год журнала: 2025, Номер unknown, С. 100325 - 100325

Опубликована: Янв. 1, 2025

Язык: Английский

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An efficient matheuristic algorithm for bi-objective sustainable closed-loop supply chain networks

IMA Journal of Management Mathematics, Год журнала: 2022, Номер 33(4), С. 603 - 636

Опубликована: Апрель 16, 2022

Abstract This paper develops an optimization model for a sustainable closed-loop supply chain network with two conflicting objectives, namely, the minimization of total logistic costs and amount carbon emissions. The first objective relates to financial benefits, whereas second represents wider goal guaranteeing cleaner air hence greener healthier planet. problem is modelled as mixed integer linear programming based-model. aim determine location distribution centres recycling centres, their respective numbers type vehicles assigned each facility. Vehicle consideration, not commonly used in literature, adds another dimension this practical challenging problem. A matheuristic using compromise put forward tackle proposed evaluated variety newly generated datasets which produces solutions that demonstrate importance appropriate balance both functions. robustness analysis considering fluctuations customer demand assessed Monte Carlo simulation. results show if standard deviation falls within 10% its average, unsatisfied insignificant, thus demonstrating stability configuration. invaluable information key towards helping senior management make relevant operational strategic decisions could impact on sustainability resilience networks.

Язык: Английский

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