Supply chain management
Pooria Malekinejad; Seyed Haidar mirfakhradini; Ali Morovati sharifabadi; Seyed Mahmood Zanjirchi
Abstract
The increasing use of electronic goods worldwide has led to a significant increase in the amount of waste generated from their consumption, resulting in a major environmental concern. In response, this study aims to provide a systemic framework for reducing electronic waste by considering the benefits ...
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The increasing use of electronic goods worldwide has led to a significant increase in the amount of waste generated from their consumption, resulting in a major environmental concern. In response, this study aims to provide a systemic framework for reducing electronic waste by considering the benefits of a closed-loop sustainable supply chain. To achieve this goal, a systematic literature review was conducted to identify influential factors related to the green supply chain. Based on the identified factors in this section regarding electronic waste, a systematic framework was devised for the technology park companies' chain in Yazd. Accordingly, utilizing fuzzy cognitive mapping technique based on the current state, a systemic structure was formed. The statistical population of this study consisted of industry experts in e-waste in Iran. The initial criterion for identifying these individuals was having at least one international research publication or a minimum of 10 years of work experience in this field. These individuals were selected using the snowball sampling method. After completing the snowball sampling process, 72 experts were selected. Based on this framework, forward and backward scenarios were created to offer practical solutions for addressing the problem of electronic waste in Iran. The results of this study suggest that instead of discarding a significant portion of electronic waste, efforts should be focused on cost reduction through better recycling processes. By implementing a closed-loop sustainable supply chain, businesses can recover valuable resources from electronic waste, reduce their carbon footprint, and ultimately contribute to creating a more sustainable future.
Supply chain management
Somayeh Sazegari; Sayyed Mohammad Reza Davoodi; Alireza Goli
Abstract
Today, most supply chains are moving towards green business with a greater focus on environmental protection as a competitive advantage. Among them, the design of a three-stage green supply chain with optimal allocation, a multiple supply chain that includes supplier (first stage), manufacturer (second ...
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Today, most supply chains are moving towards green business with a greater focus on environmental protection as a competitive advantage. Among them, the design of a three-stage green supply chain with optimal allocation, a multiple supply chain that includes supplier (first stage), manufacturer (second stage) and distributor (third stage), based on maximum efficiency and considering the internal processes and products between these three levels, can be of special importance; because, it will increase the economic and environmental performance of the supply chain. One of the methods used to evaluate efficiency in Green Supply Chain Management (GSCM) is Data Envelopment Analysis (DEA). Therefore, performance evaluation is vital for companies to improve the effectiveness and efficiency of the supply chain. In this study, using the three-stage approach of DEA, the data collected in 2020 from 9 Selected home appliance companies have been analyzed. The results show that company 1 has the best efficiency and the greenest supply chain and company 7 has the worst value of efficiency, which makes it necessary to pay more attention to low performance companies. In order to show the capability of the proposed model, the developed model was compared with its equivalent base model, and companies 1 and 2 were identified as inefficient in the proposed model, but identified as efficient in the base model. Given that the efficiency score in the proposed model is always lower than the base model, so the accuracy of the developed model can be concluded.
Data Envelopment Analysis, DEA
Rajon Paul Pantha; Md. Saiful Islam; Nahida Akter; Emroze Islam
Abstract
Nowadays, increasing environmental and social awareness has led numerous industries to adopt Sustainable Supply Chain Management (SSCM). Sustainable Supplier Selection (SSS) is considered as a very important and primary step of achieving an SSCM. SSS is a Multi-Criteria Decision Making (MCDM) problem ...
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Nowadays, increasing environmental and social awareness has led numerous industries to adopt Sustainable Supply Chain Management (SSCM). Sustainable Supplier Selection (SSS) is considered as a very important and primary step of achieving an SSCM. SSS is a Multi-Criteria Decision Making (MCDM) problem and is very intricate for its nature. This study aims to evaluate and rank sustainable suppliers using Data Envelopment Analysis (DEA) which is a popular model for measuring the productive efficiency of decision-making units effectively and is also able to handle MCDM problems. To avoid some inherent limitations of DEA, an evolutionary algorithm Differential Evolution (DE) is used to solve the DEA model. This integrated DEA-DE model provides more accurate efficiencies and is verified through a case study in a pharmaceutical company. Employing this easy and fast model to assess sustainable suppliers will help industries and suppliers to move forward towards achieving and maintaining sustainability and thus will increase the overall performance of SSCM.
