Green supply chain flow analysis with multi-attribute demand in a multi-period product development environment

Porkar, Sahar; Mahdavi, Iraj; Vishkaei, Behzad Maleki; Hematian, Milad

doi:10.1007/s12351-018-0382-5

Cited by 16 publications

(4 citation statements)

References 41 publications

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“…Among them is the work of Hatefi et al ( 2016 ), where he solved the problem with the exact approach. Also, Porkar et al ( 2018 ) designed the problem in multi-period and multi-products conditions and solved a numerical example with a meta-heuristic algorithm.…”

Section: Literature Reviewmentioning

confidence: 99%

Designing a multi-objective closed-loop supply chain: a two-stage stochastic programming, method applied to the garment industry in Montréal, Canada

Roudbari

Ghomi

Eicker

2023

Environ Dev Sustain

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The global population continues to grow, which expands demand for raw materials. Meanwhile, governments are developing circular economy strategies within cities and their industries. A circular economy utilizes refurbishing, reusing, remanufacturing, and repairing of products and materials. For companies, this involves to set targets and to rethink their supply chain. This paper seeks to model an exhaustive multi-echelon closed-loop supply chain (CLSC) network. This network functions within uncertainty, and the model optimizes three different objectives. The first objective function maximizes the network's profit; the second objective function minimizes network emissions. The last objective function maximizes job positions created by the network. Optimizing three contradicting objectives is a problem, so an augmented epsilon constraint method is applied to improve the model. Given the rise of fast fashion in developed countries, this model is used in the clothing industry in Montreal, Canada. The model includes three scenarios over five years with two types of products. The result shows the attractiveness of such a network for companies looking for profit, sustainability, and entrepreneurship in the garment industry.

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Section: Literature Reviewmentioning

confidence: 99%

Designing a multi-objective closed-loop supply chain: a two-stage stochastic programming, method applied to the garment industry in Montréal, Canada

Roudbari

Ghomi

Eicker

2023

Environ Dev Sustain

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“…Fang et al (2021) applied the Differences in Differences (DID) method to find that government environmental regulations have a positive impact on corporate green innovation. To increase the benefits of an integrated forward/reverse logistics network and maximize the score of green design and quality indicators, Porkar et al (2020) developed bi-objective non-linear programming. Zakeri et al (2015) examined the supply chain performance under carbon taxes and carbon emissions trading by an analytical supply chain planning model.…”

Section: Literature Reviewmentioning

confidence: 99%

Does the carbon trading mechanism affect social and environmental benefits of the retailer-led supply chain: Strategic decisions of emissions reduction and promotion

Wen

Liu

2022

Front. Environ. Sci.

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Governments, enterprises, and customers have become more concerned about environmental protection. Following the world’s largest carbon trading market (EU ETS), China has also implemented a market-based carbon trading mechanism (CAT) to reduce CO2. Simultaneously, customers have low-carbon preferences for environmental products. Thus, the enterprises’ strategic decisions and collaboration modes have changed. This article develops the Stackelberg game model to explore the impacts of CAT and customers’ low-carbon preference on the carbon emission reduction and promotion strategies in a retailer-led supply chain (such as RT-Mart, Walmart, Amazon, etc.). In this model, the retailer decides whether to promote environmentally safe products and the manufacturer decides whether to reduce CO2. We find that carbon trading market price and customers’ low-carbon preference are key factors influencing the retail price, total carbon emissions, and social welfare. Interestingly, there is not always a positive correlation between customers’ low-carbon preference and social welfare. To achieve Pareto improvement of social welfare, manufacturers and retailers require co-optimization. Theoretically, our research enriches the research streams of the CAT policy and socially responsible operations of the supply chain. Moreover, managerial insights are provided for retailer-led supply chain stakeholders and emission reduction regulators, which contribute to enhancing the social and environmental benefits of the supply chains.

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“…Jong and coworkers point to a lack of research on impact of changes in transport costs and times (by mode) on the trade flows and suggest a new model for trade flows in Europe that is integrated with a logistics model for transport chain choice through Logsum variables [34]. Porkar and coworkers propose two groups of indicators for evaluating material flows in the green supply chain with the aim of increasing total profit, depending on the direction of these flows: forward (quality and green design indicators) and backward (green scrap score indicators) [35]. A system of twenty-six universal indicators of logistics flows for evaluating and forming a "resource balance" in green supply chains are proposed in [7].…”

Section: Evaluation Of Logistic Flowsmentioning

confidence: 99%

Evaluation of Logistic Flows in Green Supply Chains Based on the Combined Dematel-Anp Method

2021

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Supply chains and transport corridors have a significant impact on the socio-economic and environmental situation in the regions where the elements of the logistics infrastructure are located. The achievement of the goals of the concept of sustainable development in these regions is ensured, among other things, as a result of the formation of green supply chain management (GSCM), that is, as a result of changes in existing approaches to supply chain management. Analysis of the practice of supply chain management showed a wide variety of parameters and indicators of logistics flows used in decision-making at different stages of managing these flows. The authors propose a universal system of the logistic flows parameters and indicators for the GSCM, corresponding to the principles of the concept of sustainable development. A methodology for ranking indicators of logistics flows based on a combined DEMATEL-ANP method has been developed. The results of a case study on the evaluation of logistics flows for the GSCM are presented. The ranks of logistics flow indicators obtained in the study are proposed to be used in GSCM to adjust of the logistics flows actual parameters to achieve the goals of the concept of sustainable development.

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Green supply chain flow analysis with multi-attribute demand in a multi-period product development environment

Cited by 16 publications

References 41 publications

Designing a multi-objective closed-loop supply chain: a two-stage stochastic programming, method applied to the garment industry in Montréal, Canada

Designing a multi-objective closed-loop supply chain: a two-stage stochastic programming, method applied to the garment industry in Montréal, Canada

Does the carbon trading mechanism affect social and environmental benefits of the retailer-led supply chain: Strategic decisions of emissions reduction and promotion

Evaluation of Logistic Flows in Green Supply Chains Based on the Combined Dematel-Anp Method

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