Shelf space allocation problem under carbon tax and emission trading policies

Yu, Vincent F.; Maglasang, Renan; Tsao, Yu‐Chung

doi:10.1016/j.jclepro.2018.05.165

Cited by 18 publications

(5 citation statements)

References 28 publications

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“…By using an example, we found that the carbon credit price is positively correlated with the enterprise's changeable cost and negatively correlated with the variable emissions [26]. Yu et al established a mixed integer nonlinear programming (MINLP) model of shelf space allocation under the background of the carbon tax and discussed the influence of shelf space capacity on product allocation decision [27]. Singh et al considered the carbon footprint in the traditional supplier selection process and proposed a framework to help reduce the carbon footprint of beef products using the combination of big data, operational research, and other technologies [28].…”

Section: Introductionmentioning

confidence: 99%

Decision Optimization of Low-Carbon Dual-Channel Supply Chain of Auto Parts Based on Smart City Architecture

Liu

Huang

et al. 2020

Complexity

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Affected by the Internet, computer, information technology, etc., building a smart city has become a key task of socialist construction work. The smart city has always regarded green and low-carbon development as one of the goals, and the carbon emissions of the auto parts industry cannot be ignored, so we should carry out energy conservation and emission reduction. With the rapid development of the domestic auto parts industry, the number of car ownership has increased dramatically, producing more and more CO2 and waste. Facing the pressure of resources, energy, and environment, the effective and circular operation of the auto parts supply chain under the low-carbon transformation is not only a great challenge, but also a development opportunity. Under the background of carbon emission, this paper establishes a decision-making optimization model of the low-carbon supply chain of auto parts based on carbon emission responsibility sharing and resource sharing. This paper analyzes the optimal decision-making behavior and interaction of suppliers, producers, physical retailers, online retailers, demand markets, and recyclers in the auto parts industry, constructs the economic and environmental objective functions of low-carbon supply chain management, applies variational inequality to analyze the optimal conditions of the whole low-carbon supply chain system, and finally carries out simulation calculation. The research shows that the upstream and downstream auto parts enterprises based on low-carbon competition and cooperation can effectively manage the carbon footprint of the whole supply chain through the sharing of responsibilities and resources among enterprises, so as to reduce the overall carbon emissions of the supply chain system.

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Section: Introductionmentioning

confidence: 99%

Decision Optimization of Low-Carbon Dual-Channel Supply Chain of Auto Parts Based on Smart City Architecture

Liu

Huang

et al. 2020

Complexity

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“…Furthermore, retailers must consider the concept of space elasticity, which refers to the potential impact on sales of one product when the space allocated to another product is increased or decreased (East et al ., 2003). By strategically managing shelf space, retailers can optimize sales and make the most of this valuable resource (Vincent et al ., 2018).…”

Section: Literature Reviewmentioning

confidence: 99%

“…(Schaal and Hübner, 2018) explored the impact of random demand on large product groups using a non-linear optimization model. (Vincent et al ., 2018) formulated a model for shelf allocation under environmental tax policies. (Rabbani et al ., 2018) presented a model that considered factors like product position, space elasticity, and shelf depth/height.…”

Section: Literature Reviewmentioning

confidence: 99%

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Improving the sales process of profitable perishable goods: an inventory control strategy in a planned economy

Riazi,

Doroodian,

Afshar-Nadjafi

2024

IJRDM

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PurposeThe purpose is to have appropriate planning for reducing costs during the procurement process and increasing profits during the sales period in a supply cycle at a retail store. To make the proposed model practical, efforts have been made to implement the existing constraints in a business environment and legal factors.Design/methodology/approachTo achieve the objectives of this research, a mixed-methods approach was employed. Initially, sales data was collected, and industry experts were consulted to identify key products. A mathematical model and a particle swarm optimization algorithm were utilized for simulation and optimization. Furthermore, time series forecasting techniques were employed to estimate demand accurately.FindingsThe findings of this research emphasize the importance of considering all factors affecting costs simultaneously when utilizing tools to reduce costs during the planning period. It was observed that certain tools, which individually have a favorable effect on costs, may collectively result in an increase in costs over the examined period. This highlights the need for a comprehensive and integrated approach to planning.Research limitations/implicationsThe business environment and legal factors in each country are among the factors that affect the performance of retailers, which has received less attention in previous research. This research aimed to address this gap by considering various factors. However, it is important to note that the proposed model has been investigated in research in hypermarkets and is applicable, but it cannot be generalized to other retailers.Originality/valueApplicability and consideration of new limitations in simulation along with consideration of the complete process from buying to selling goods.

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“…The articles conclude that the carbon tax has a positive impact in terms of being able to reduce gas emissions. The articles were written by [15, 71, 8] [39, 40], [57,58], [63,50,49,48,47,43,66], [72][73][74][75][76][77][78][79][80][81], [60, 55, 41, 53, 82, [32-35], [7,36,38]. [34] Concluded that optimally applying a carbon tax can reduce emotional carbon so that economic growth will increase.…”

Section: Grand Total 84mentioning

confidence: 99%

Development in Implementation of Carbon Tax: A Bibliographic Study

Cahyadi,

Marcheila,

Panggabean

2023

E3S Web of Conf.

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The purpose of this study is to map various research articles related to development trends in implementation of the carbon tax from 1994 to 2021. This study used a quantitative method with a bibliometric approach. Mapping is based on the level of publisher accreditation, quality of journals, theories used, unit of analysis, research methods, number of years of coverage, dependent & independent variables, and results. The research articles used in this study are as many as 84 that are published by accredited journals and indexed by Scopus. Most of the research used a quantitative method also dependent variables and three independent variables. Most of the result shows the carbon tax is considered to have a positive impact on reducing gas emissions.

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Shelf space allocation problem under carbon tax and emission trading policies

Cited by 18 publications

References 28 publications

Decision Optimization of Low-Carbon Dual-Channel Supply Chain of Auto Parts Based on Smart City Architecture

Decision Optimization of Low-Carbon Dual-Channel Supply Chain of Auto Parts Based on Smart City Architecture

Improving the sales process of profitable perishable goods: an inventory control strategy in a planned economy

Development in Implementation of Carbon Tax: A Bibliographic Study

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