An integrated multi-criteria decision-making and multi-objective optimization framework for green supplier evaluation and optimal order allocation under uncertainty

Goodarzi, Fariba; Abdollahzadeh, Vahid; Zeinalnezhad, Masoomeh

doi:10.1016/j.dajour.2022.100087

Cited by 17 publications

(11 citation statements)

References 10 publications

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“… Social responsibility of enterprise: It encompasses, among other aspects, the obligation felt by enterprises towards the environment and resources, governmental bodies and the public, consumers, as well as stakeholders and employees (Yang et al, 2024).  Environmental management system: Developing environmental policies, strategizing for environmental objectives, and overseeing environmental activities through review and control (Goodarzi et al, 2022).…”

Section:  Total Order Cycle Timementioning

confidence: 99%

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Assessment of Third-Party Reverse Logistics Provider Through the SWARA-WASPAS Integrated Framework

Gürler

2024

Kahramanmaraş Sütçü İmam Üniversitesi Sosyal Bilimler Dergisi

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The selection of the most suitable third-party provider for reverse logistics (RL) activities is a key factor in initiating effective RL processes. However, the process of identifying the optimal third-party provider involves navigating through various conflicting objectives and criteria. This task is intricate and time-consuming, necessitating the application of multi-criteria decision-making (MCDM) approaches. This study addresses the evaluation and selection of the best 3PRLP by introducing a comprehensive MCDM framework. Therefore, this study aims to assist a manufacturer specializing in milk and dairy products who has opted to transfer its reverse logistics operations to a logistics service provider. The objective is to aid them in selecting the most suitable 3PRLP. The proposed framework incorporates the SWARA (Step-wise Weight Assessment Ratio Analysis) technique for determining weights and the WASPAS (Weighted Aggregated Sum Product Assessment) method for thoroughly evaluating alternatives. In this study, a panel of four experts made a joint decision after identifying six criteria and five alternatives. The research concluded that the reverse logistics cost (C1) emerges as the most pivotal factor, with the service quality of reverse logistics (C3) being recognized as the least significant criterion. As a result, A1 stands out as the top choice among the 3PRLP.

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Section:  Total Order Cycle Timementioning

confidence: 99%

“…The regulations established by the supplier to manage the quantity of pollution discharged into the environment (Goodarzi et al, 2022).…”

Section:  Pollution Controlmentioning

confidence: 99%

Assessment of Third-Party Reverse Logistics Provider Through the SWARA-WASPAS Integrated Framework

Gürler

2024

Kahramanmaraş Sütçü İmam Üniversitesi Sosyal Bilimler Dergisi

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“…Goodarzi et al [72] aimed to develop a model that integrated a decision-making approach to evaluate green suppliers and allocate optimal orders while accounting for uncertainty. The fuzzy Delphi method was employed to refine supplier evaluation criteria and use green and resilient indexes were for the prioritization of suppliers.…”

Section: Literature Reviewmentioning

confidence: 99%

Sustainable Supplier Selection and Order Allocation Using an Integrated ROG-Based Type-2 Fuzzy Decision-Making Approach

Ghorabaee

2023

Mathematics

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The sustainable Supplier Evaluation and Selection and Order Allocation (SSOA) problem has received significant attention in supply chain management due to its potential to enhance a company’s performance, improve customer satisfaction, and reduce costs. In this study, an integrated methodology is proposed to address the SSOA problem. The methodology combines multiple techniques to handle the uncertainties associated with supplier evaluation, including a new ranking method based on the concept of Radius of Gyration (ROG) for interval type-2 fuzzy sets. The methodology also incorporates both subjective weights obtained using the Simple Multi-Attribute Rating Technique (SMART) and expert preferences, and objective weights calculated using the Method based on the Removal Effects of Criteria (MEREC) method to determine the weights of evaluation criteria. Some criteria for sustainable development are used to evaluate supplier performance, resulting in type-2 fuzzy sets, which are evaluated using the Weighted Aggregated Sum Product Assessment (WASPAS) method. The ROG-based ranking method is employed to calculate the relative scores of suppliers. Finally, a multi-objective decision-making (MODM) mathematical model is presented to identify suitable suppliers and allocate their order quantities. The methodology is demonstrated in a sustainable SSOA problem and is shown to be efficient and effective, as the ROG-based ranking method allows for more accurate supplier performance evaluation, and the use of the criteria highlights the importance of sustainability in supplier selection and order allocation. The methodology’s practicality is further supported by the analysis conducted in this study, which demonstrates the methodology’s ability to handle the uncertainties associated with supplier evaluation and selection. The proposed methodology offers a comprehensive approach to the SSOA problem that can effectively handle the uncertainties in supplier evaluation and selection and promote sustainable practices in supply chain management.

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“…Furthermore, effective path selection from supply points to the disaster regions with feasible shortest path has been another challenge for the distribution schedule as in a disaster scenario, more often, many connecting roads get obstructed or permanently damaged [13,14]. These multiple aspects bring the scope of use of multi-criteria decision making as the integrated multi-criteria increase the effectiveness for the decision making process when there appears multi-objective scenario [15]. For the effective management, multiple objectives need to be considered together due to the nature of uncertainty and complexity associated with multi-criteria problems [16].…”

Section: Introductionmentioning

confidence: 99%

A multi-objective evolutionary optimisation model for heterogeneous vehicles routing and relief items scheduling in humanitarian crises

Mishra

Dahal

Pervez

et al. 2022

Decision Analytics Journal

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An integrated multi-criteria decision-making and multi-objective optimization framework for green supplier evaluation and optimal order allocation under uncertainty

Cited by 17 publications

References 10 publications

Assessment of Third-Party Reverse Logistics Provider Through the SWARA-WASPAS Integrated Framework

Assessment of Third-Party Reverse Logistics Provider Through the SWARA-WASPAS Integrated Framework

Sustainable Supplier Selection and Order Allocation Using an Integrated ROG-Based Type-2 Fuzzy Decision-Making Approach

A multi-objective evolutionary optimisation model for heterogeneous vehicles routing and relief items scheduling in humanitarian crises

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