Assessing data-driven sustainable supply chain management indicators for the textile industry under industrial disruption and ambidexterity

International Journal of Production Economics, Год журнала: 2021, Номер 245, С. 108401 - 108401

Опубликована: Дек. 27, 2021

Язык: Английский

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Supplier Selection in the Age of Industry 4.0: A Review on MCDM Applications and Trends

Decision Making Advances, Год журнала: 2024, Номер 2(1), С. 32 - 47

Опубликована: Янв. 5, 2024

The advent of Industry 4.0 has triggered a profound transformation in manufacturing and supply chain management, necessitating the adaptation supplier selection processes to this evolving technological landscape. This comprehensive review paper places significant focus on role multi-criteria decision-making (MCDM) methodologies emerging trends context within 4.0. It underscores critical importance effective achieving operational excellence bolstering resilience new era, exploring challenges opportunities presented by advances such as Internet Things, big data analytics, artificial intelligence, advanced techniques. looks into theoretical underpinnings MCDM techniques, highlighting their suitability for addressing complex, multi-dimensional criteria associated with selection. As valuable resource, study caters researchers, practitioners, decision-makers navigating intricate landscape dynamic area 4.0, emphasizing pivotal ever-evolving dynamics shaping digital age.

Язык: Английский

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A goal programming-based fuzzy best–worst method for the viable supplier selection problem: a case study

Soft Computing, Год журнала: 2022, Номер 27(6), С. 2827 - 2852

Опубликована: Ноя. 4, 2022

Язык: Английский

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An integrated Analytic Hierarchy Process and Complex Proportional Assessment for vendor selection in supply chain management

Decision Analytics Journal, Год журнала: 2022, Номер 6, С. 100155 - 100155

Опубликована: Дек. 27, 2022

Supplier evaluation and vendor selection are complex problems with multiple criteria. These Multiple conflicting criteria often interact each other, making the process cumbersome challenging. Multi criterion decision-making (MCDM) techniques used to handle these complexities, allowing consistent effective of best suitable supplier. This study utilizes Analytic Hierarchy Process (AHP) Complex Proportional Assessment (COPRAS) evaluate suppliers select most vendors for manufacturing companies. The proposed method first determines then uses AHP assess relative relevance various COPRAS is next alternative vendor. A case demonstrates applicability effectiveness in this study. As a result study, it has been shown that AHP-COPRAS integrated an can be supplier was analyzed detail. Especially determined sector requires precision parts production. In addition, by explaining methods step step, aimed guide them so they similar decision problems.

Язык: Английский

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Optimal Selection of Stock Portfolios Using Multi-Criteria Decision-Making Methods

Mathematics, Год журнала: 2023, Номер 11(2), С. 415 - 415

Опубликована: Янв. 12, 2023

In the past, investors used their own or others’ experiences to achieve goals. With development of financial management, investors’ choices became more scientific. They could select optimal choice by using different models and combining results with experiences. portfolio optimization, main issue is selection assets securities that can be provided a certain amount capital. present study, problem i.e., maximizing stock returns minimizing risk, has been studied. Therefore, this study discussed comprehensive modeling for portfolios multi-criteria decision-making methods in companies listed on Tehran Stock Exchange. A sample 79 Exchange was conduct research. After simulating data programming them MATLAB software, cumulative analysis model performed, 24 were selected. This research collected from statements 2020. The primary purpose index provide portfolio; multi-index (TOPSIS method), taxonomy method (Taxonomy), ARAS method, VIKOR COPRAS WASPAS all identify best highest return.

Язык: Английский

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An Interval-Valued Pythagorean Fuzzy AHP and COPRAS Hybrid Methods for the Supplier Selection Problem

International Journal of Computational Intelligence Systems, Год журнала: 2023, Номер 16(1)

Опубликована: Июль 31, 2023

Abstract Companies must be able to identify their suppliers appropriately and effectively in order survive the competitive market conditions. In fulfill surpass expectations of consumers clients, companies need interact with relevant suppliers. It is a tough manner for select best supplier from large number alternatives. The selection process appropriate involves multiple interacting competing factors. Generally, its results cause waste time money. For this purpose, MCDM methodologies are utilized manage complex efficiently. MCDMs allows consistent accurate decision-making as well most supplier. one preferred tool alternative under conflicting criteria when evaluations made crisp numbers. Therefore, methods various applications academia real life. However, could not always possible numbers, especially vague environments or needs qualitative data. This study first combine AHP COPRAS interval-valued Pythagorean fuzzy (IPF) logic. effectiveness these IPF-AHP IPF-COPRAS problem compared examined. experimental case scenarios show that IPF an effective way apply applications. addition, sensitivity analysis conducted evaluate proposed methodologies. According analysis, illustrate effects small changings weights. can use assist decision-makers identifying selecting

Язык: Английский

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Sustainability, emission trading system and carbon leakage: An approach based on neural networks and multicriteria analysis

Sustainable Operations and Computers, Год журнала: 2023, Номер 4, С. 147 - 157

Опубликована: Янв. 1, 2023

Two transitions, green and digital, are changing the operations strategies of industrial systems. At same time, businesses challenged to be globally competitive. Europe has a very ambitious agenda as it aims first climate-neutral continent in 2050. The European Emissions Trading Scheme (EU ETS) proven have facilitated reduction significant amounts greenhouse gas emissions, but risk carbon leakage is present. This work seeks explore these issues their relationships. Through use long short-term memory (LSTM) neural network, model built determine price Union Allowance (EUA) function different financial energy futures. results show that robust EUA tends vary between 78 91 €/tCO2. In addition, Multi-Criteria Decision Analysis (MCDA) applied identify best policy alternatives enable subject EU ETS competitive global markets. analysis carried out with help academic experts emerges criteria considered most relevant two: (i) public expenditure its expected benefits (ii) ecosystem. implications bonuses should provided for innovative solutions protect both raw material components. framework 3E (Energy Efficiency, Renewable Energy, Circular Economy) critical businesses' long-term strategies, flanked by digital development.

Язык: Английский

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A multi-period multi-season multi-objective mathematical model for guaranteeing the viability of supply chains under fluctuations: a healthcare closed-loop supply chain application

Annals of Operations Research, Год журнала: 2023, Номер unknown

Опубликована: Дек. 25, 2023

Язык: Английский

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A multi-objective optimization model of a closed-loop supply chain for supplier selection and order allocation under uncertainty: A case study of retail stores for protein products

Transportation research procedia, Год журнала: 2025, Номер 82, С. 323 - 341

Опубликована: Янв. 1, 2025

Язык: Английский

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A Hybrid Machine Learning Approach to Evaluate and Select Agile-Resilient-Sustainable Suppliers Considering Supply Chain 4.0: A Real Case Study

Process Integration and Optimization for Sustainability, Год журнала: 2025, Номер unknown

Опубликована: Янв. 14, 2025

Язык: Английский

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