Low-carbon Supply Chain Management Research Articles

Implementation of low carbon supply chain management practices (LCSCMP) in Indian manufacturing industries using ISM-DEMATEL

Implementation of low carbon supply chain management practices (LCSCMP) in Indian manufacturing industries using ISM-DEMATEL

Dynamic analysis of dual-market low-carbon supply chain: Considering government intervention and joint promotion

The increasingly severe global environmental problems have urged most people to incorporate environmental protection into their daily lives. Therefore, low-carbon supply chain management has become crucial. This paper studies a dual-market low-carbon supply chain operation in urban and rural markets with one manufacturer and two retailers. Three scenarios are considered: no government intervention, government intervention and joint promotion under government intervention. By establishing and solving three differential game models, we give the dynamic technological innovation, advertising and store promotion strategies of the manufacturer and two retailers and show the impact of government intervention and joint promotion on emissions reduction and performance. The results show that: first, government intervention can increase technology innovation efforts and decrease advertising efforts, while joint store promotion under government intervention has a positive effect on manufacturer's advertising and technological innovation efforts; second, government intervention may increase the profits of the manufacturer, although it will undoubtedly reduce the profits of the retailers, while joint store promotion under government intervention can further improve the profits of the manufacturer and retailers; third, compared to the preferences of rural consumers, manufacturer's technological innovation strategy relies more on the price and promotion preferences of urban consumers. Moreover, the preference differences between the two types of consumers have a weak impact on the manufacturer's advertising strategy, while the price preference of rural consumers has a more significant impact on the advertising efforts of the manufacturer. Overall, the research results can provide valuable suggestions for the members of the low-carbon supply chain in the dual market to improve the economic and environmental performance of the low-carbon supply chain.

The role of technology in supply chain decarbonisation: towards an integrated conceptual framework

PurposeThis study aims to systematically review the current academic literature on the role of technologies in low-carbon supply chain management (SCM), identify and analyse critical themes and propose an integrated conceptual model.Design/methodology/approachA systematic literature review of 48 papers published between 2010 and 2022 was conducted. A conceptual model was advanced.FindingsBased on the analysis and synthesis of the reviewed papers, this review provides an initial attempt to integrate technology adoption and low-carbon SCM by developing a diffusion of innovation model of technology-enabled low-carbon SCM within the technology–organisation–environment (TOE) framework, in which drivers, enablers and barriers to technology adoption practices are identified. The environmental, economic and social outcomes of adoption practices are also identified.Originality/valueThis study provides a novel and comprehensive roadmap for future research on technology-enabled low-carbon SCM. Furthermore, policy, as well as managerial implications, is presented for policymakers and managers.

Coordination Decisions for a Low-Carbon Supply Chain Considering Risk Aversion under Carbon Quota Policy.

To mitigate climate change, the governments of various countries have formulated and implemented corresponding low-carbon emission reduction policies. Meanwhile, consumers’ awareness of the necessity of environmental protection is gradually improving, and more consumers pay attention to the environmental attributes of products, which all encourages enterprises to have great power to implement low carbon technology. As rational decision makers, members tend to show the characteristics of risk aversion. How to meet the needs of consumers and reduce their own risks has become a key point of low-carbon supply chain management. Considering carbon quota policy, in this paper, the optimal pricing decision-making process of a supply chain system is discussed under risk-neutral and risk-avoidance decision-making scenarios by game theory, and a cost-sharing contract is used to coordinate the decision-making process of a supply chain system. By analyzing the influence of the risk aversion coefficient on the optimal strategies of participants, we find that when the manufacturer has the risk aversion characteristic, the risk aversion coefficient will further reduce the carbon emission rate, the wholesale price of the product and the manufacturer’s profit but increase the product order quantity and the retailer’s profit. In addition, if consumers have a high preference for low-carbon products, the manufacturer’s risk-aversion coefficient will lead to a lower selling price than in the centralized decision-making situation, and the profit of the supply chain system will also be further reduced. When the cost-sharing contract is adopted for coordination, the Pareto improvement of supply chain members’ profits can be achieved when the parameters of the cost-sharing contract are appropriate, regardless of the manufacturer’s risk-neutral decision or risk-aversion decision.

The Carbon Cost Influences Research on Supply Chain Network Design

In recent years, reducing carbon emissions from the supply chain has become an increasingly important issue. As a result, the necessity and desirability of carbon management has become a key cost element in the supply chain in the future. Supply chain network design is not only an important part of managing the supply chain, but also has a significant impact on carbon emissions. Therefore, this paper formulates a mathematical model to optimize the supply chain network design (SCND), which takes carbon emissions into account. It also reviews the influence of the cost of carbon management on the supply chain network design and then builds a Low Carbon Emission Supply Network Design model for a specific case study. This model helps to enhance the core competitiveness of the supply chain and promote an in-depth analysis of low-carbon supply chain management.

Novel q-rung orthopair fuzzy interaction aggregation operators and their application to low-carbon green supply chain management

The low-carbon supply chain management is big a challenge for the researchers due to the rapid increase in global warming and environmental concerns. With the advancement of the environmental concerns and social economy, it is an unavoidable choice for a business to achieve sustainable growth for low-carbon supply chain management. Since the root of the chain depends upon the supplier selection and choosing an excellent low-carbon supply. Green supplier selection is one of the most crucial activities in low-carbon supply chain management, it is critical to develop rigorous requirements and a system for selection in low-carbon green supply chain management (LCGSCM). A q-rung orthopair fuzzy number (q-ROFN) is pair of membership degree (MD) and non-membership degrees (NMD) which is reliable to address uncertainties in the various real-life problems. This article sets out a decision analysis approach for interactions between MDs and NMDs with the help of q-ROFNs. For this objective, we develop new aggregation operators (AOs) named as, q-rung orthopair fuzzy interaction weighted averaging (q-ROFIWA) operator, q-rung orthopair fuzzy interaction ordered weighted averaging (q-ROFIOWA) operator, q-rung orthopair fuzzy interaction hybrid averaging (q-ROFIHA) operator, q-rung orthopair fuzzy interaction weighted geometric (q-ROFIWG) operator, q-rung orthopair fuzzy interaction ordered weighted geometric (q-ROFIOWG) operator and q-rung orthopair fuzzy interaction hybrid geometric (q-ROFIHG) operator. These AOs define an advanced approach for information fusion and modeling uncertainties in multi-criteria decision-making (MCDM). At the end, a robust MCDM approach based on newly developed AOs is developed. Some significant properties of these AOS are analyzed and the efficiency of the developed approach is assessed with a practical application towards sustainable low-carbon green supply chain management.

Blockchain Technology and Its Role in Enhancing Supply Chain Integration Capability and Reducing Carbon Emission: A Conceptual Framework

Most current blockchain and carbon emission studies are from engineering and sciences disciplines. By incorporating blockchain technology into supply chain integration capabilities, the firms are be able to work collaboratively with each other to enhance the supply chain integration and simultaneously reduce the carbon emission in a supply chain. This paper presents a conceptual framework to understand the role of blockchain in a low carbon supply chain management. Applying the Socio-Technical Theory and Resource-Based View, the research propositions between blockchain, supply chain integration capability and carbon emission are proposed in the research framework. The results indicate that the blockchain technology may be viewed as a strategic management approach to enhance supply chain integration and reduce the carbon emissions. In addition, it may be adopted as an operational tool to track carbon footprint, streamline processes and improve efficiency of carbon management to minimize the overall emissions in supply chains. The paper contributes to the blockchain literature and its applications in low carbon supply chain management and provides recommendation for future research.

Barriers to Evaluate Low Carbon Supply Chain Management Practices in Manufacturing Industries

Abstract Maintainability has been turning into a basic examination plan among the analysts/experts to accomplish biological cultural just as monetary advantages. As the occasion, Sustainable Supply Chain Management (SSCM) rehearses are at extremely beginning stage in creating nations like India because of presence of numerous obstacles. In present examination, an exertion has been made to distinguish furthermore, assess jumps in actualizing SSCM in Indian car area. Writing survey approach and specialists' information sources have been utilized to recognize jumps in actualizing SSCM. Interpretive Structural Modeling (ISM) philosophy has been used to comprehend the logical connections among these recognized obstacles, their association and progression levels to execute SSCM rehearses in Indian car part. MICMAC examination has additionally been utilized to order recognized obstacles as per their significance. 'Political Instability' has been accounted for as most driver obstacle in executing SSCM. 'Ignorance among society about social practices' has been found as most ward obstacle of the current examination. We accept that, this paper will clearly help business experts/specialists/researchers in widening research in this rising zone and growing new hypotheses/recommendation. This paper may give significant future exploration headings towards expanding viability of supportability in the flexibly chains. Keywords: Sustainable Supply Chain Management (SSCM), Low carbon supply chain management (LCSCM), Interpretive Structural Modeling (ISM). Cite this Article Vivek Gupta, Arvind Jayant. Barriers to Evaluate Low Carbon Supply Chain Management Practices in Manufacturing Industries. Journal of Thermal Engineering and Applications . 2020; 7(2): 24–29p.

Production and joint emission reduction decisions based on two-way cost-sharing contract under cap-and-trade regulation

Cap-and-trade regulation is widely applied as a carbon policy in low-carbon supply chain management. This study investigates production and carbon emission reduction strategies that are based on such regulation in a two-echelon supply chain, which comprises one manufacturer and one retailer. In this supply chain, the manufacturer directly participates in carbon emission reduction while the retailer is indirectly involved in low-carbon promotion. On this basis, we establish single and joint emission reduction models, in which supply chain members may adopt the one-way or two-way cost-sharing contracts. We then analyze the optimal strategy design for supply chain and the appropriate sharing rate contract. We find that the implementation of contracts can increase carbon emission abatement level, product quantity and supply chain profit. The one-way cost-sharing contract is beneficial for supply chain, whereas the two-way cost-sharing contract is also beneficial for supply chain when the sharing rate is in a small range. Under certain conditions, joint emission reduction model is optimal choice for supply chain. Meanwhile, the sharing rate can affect supply chain choice between decentralized and centralized decisions. Then we propose the extended multiple retailers model and find that this model offers better performance. In addition, carbon emission abatement level increases with carbon trading price by numerical study. The government can stimulate supply chain to reduce carbon emission by regulating carbon trading price, and should also pay attention to the impact on supply chain production and profits.

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

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.

Vehicle routing analyses with integrated order picking and delivery problem under carbon cap and trade policy

PurposeThe purpose of this study is to model a vehicle routing problem with integrated picking and delivery under carbon cap and trade policy. This study also provides sensitivity analyses of carbon cap and price to the total cost.Design/methodology/approachA mixed integer linear programming (MILP) model is formulated to model the vehicle routing with integrated order picking and delivery constraints. The model is then solved by using the CPLEX solver. Carbon footprint is estimated by a fuel consumption function that is dependent on two factors, distance and vehicle speed. The model is analyzed by considering 10 suppliers and 20 customers. The distance and vehicle speed data are generated using simulation with random numbers.FindingsSignificant amount of carbon footprint can be reduced through the adoption of eco-efficient vehicle routing with a marginal increase in total transportation cost. Sensitivity analysis indicates that compared to carbon cap, carbon price has more influence on the total cost.Research limitations/implicationsThe model considers mid-sized problem instances. To analyze large size problems, heuristics and meta-heuristics may be used.Practical implicationsThis study provides an analysis of carbon cap and price model that would assist practitioners and policymakers in formulating their policy in the context of carbon emissions.Originality/valueThis study provides two significant contributions to low carbon supply chain management. First, it provides a vehicle routing model under carbon cap and trade policy. Second, it provides a sensitivity analysis of carbon cap and price in the model.

Low-Carbon Initiatives of Logistics Service Providers: The Perspective of Supply Chain Integration

Logistics service providers (LSPs) are under tremendous pressure in the fight against global climate change. While existing research has examined the operational importance of LSPs in decarbonizing supply chains, the strategic perspective of LSPs on low carbon supply chains has not received enough attention. Motivated by the evolving role of LSPs from a service provider to a resource integrator in the supply chain, drawing on the relational view of inter-organizational competitive advantage, this paper focuses on LSPs’ low-carbon supply chain integration (SCI) and empirically investigates its drivers and outcomes. Data from 124 Chinese LSPs shows that LSPs’ corporate environmental responsibility and customer environmental requirement have positive relationships with LSPs’ low-carbon SCI, and that LSPs’ low-carbon SCI is positively related to LSPs’ environmental and financial performance. In addition, LSPs’ environmental performance is found to have a positive relationship with LSPs’ financial performance. These findings not only provide new insights for LSPs’ low-carbon supply chain initiatives, but also highlight the importance of SCI as a strategic approach in low-carbon supply chain management.

Past, present, and future low carbon supply chain management: A content review using social network analysis

The aim of this study is to identify the past, present, and future research trends for low carbon supply chain (LCSC) management. The literature on low carbon supply chain management has expanded, however, a systematic review of lessons learned and future research opportunities is necessary. We do this using a review of the literature and social network analysis. The data for this study consists of English articles published by multiple databases found through the Web of Science and Scopus. We reviewed, collected, and sorted articles from 124,793 publications and then identified 2199 as being relevant to the scope of work for this study. Next, we utilized a social network analysis of the data. The results uncovered six main domains of LCSC: sustainability, climate change, green supply chain management, supply chain management, innovation, sustainable development, and environmental management. Contributions of this study include the development of these domains along with several important themes. The insights uncovered by our analysis primarily focus on LCSC modelling, low carbon energy, and carbon emission measurements. Numerous sustainability management practices are associated with low carbon energy use and actions to avoid increasing the rate of climate change. Paradoxically, we find limited evidence in the literature on how the LCSC practices can achieve integrated levels of performance that should also include carbon performance indicators.

Low carbon supplier development

PurposeThe purpose of this paper is to provide an analytical model for low carbon supplier development. This study is focused on the level of investment and collaboration decisions pertaining to emission reduction.Design/methodology/approachThe authors’ model includes a fuzzy c-means (FCM) clustering algorithm and a fuzzy formal concept analysis. First, a set of suppliers were classified according to their carbon performances through the FCM clustering algorithm. Then, the fuzzy formal concepts were derived from a set of fuzzy formal contexts through an intersection-based method. These fuzzy formal concepts provide the relative level of investments and collaboration decisions for each identified supplier cluster. A case from the Indian renewable energy sector was used for illustration of the proposed analytical model.FindingsThe proposed model and case illustration may help manufacturing firms to collaborate with their suppliers for improving their carbon performances.Research limitations/implicationsThe study contributes to the low carbon supply chain management literature by identifying the decision criteria of investments toward low carbon supplier development. It also provides an analytical model of collaboration for low carbon supplier development. Though the purpose of the study is to illustrate the proposed analytical model, it would have been better if the model was empirically validated.Originality/valueThough the earlier studies on green supplier development program evaluation have considered a set of criteria to decide whether or not to invest on suppliers, these are silent on the relative level of investment required for a given set of suppliers. This study aims to fulfill this gap by providing an analytical model that will help a manufacturing firm to invest and collaborate with its suppliers for improving their carbon performance.

Low-Carbon Supply Chain Management Considering Free Emission Allowance and Abatement Cost Sharing

As people concern themselves with environmental problems, the right to emit carbon dioxide becomes a new resource with business value that is incorporated in firms’ budgets. This paper studies the optimal emission abatement decision for firms in a supply chain, considering emission costs. Four Stackelberg models are established that differ in free emission allowance allocation schemes and emission abatement cost-sharing schemes. On comparing optimal solutions in the models, the results show that regardless of which free emission allowance allocation scheme or emission abatement cost-sharing scheme is adopted, upstream firms tend to set a higher emission reduction rate. If supply chain firms aim for a higher emission reduction rate, they should advocate that upstream and downstream firms establish emission abatement cost-sharing contracts. The upstream firms should undertake larger emission reduction costs, and use free emission allowance allocation schemes based on emission intensity; the optimal emission reduction rate is related to carbon price, and the relationship may not be monotonous, affected by the difficulty of reducing emissions.

Motivating low-carbon initiatives among suppliers: The role of risk and opportunity perception

Regulators increasingly pressure companies to reduce greenhouse gas (GHG) emissions. In the case of many large corporations, most emissions originate from supply chain operations. Consequently, firms often pass on external pressures to their suppliers by requesting them to implement low-carbon initiatives. While existing research suggests that external pressures from both regulators and customers are mostly effective in motivating environmental action among suppliers, it remains unexplored how organizational perception of risks and opportunities influences this relationship. The purpose of this paper is to examine empirically how the perception of climate change-related risks and opportunities moderates the influence of external pressures on a supplier’s decision to adopt low-carbon supply chain management (LCSCM) practices. The sample consists of 877 companies from 37 countries that supply to large multinational enterprises. Secondary data is sourced from CDP’s Supply Chain Program and other databases and statistically analyzed using binary logistic regression models. The results show that a supplier’s decision to implement LCSCM practices is mainly determined by customer requests to reduce GHG emissions and the stringency and effectiveness of climate change policies in its home country. Contrary to theoretical predictions, little empirical evidence is provided for a moderating influence of perceived climate-related risks and opportunities. However, in most cases a company’s perception of both risks and opportunities is directly and positively related to LCSCM. Firm size is also found to be influential, while profitability, an industry’s GHG intensity, a country’s economic development and the private sector’s responsiveness to environmental issues do not significantly affect suppliers’ behavior.

Low carbon supply chain: a state-of-the-art literature review

PurposeThe purpose of this paper is to review the relevant literature on low carbon supply chain management (LCSCM) and classify it on contextual base. It also aims at identifying key decision-making issues in LCSCM. This paper also highlights some of the future challenges and scope of research in this domain.Design/methodology/approachA content analysis is carried out by systematically collecting the literature from major academic sources over a period of 18 years (2000-2017), identifying structural dimensions and classifying it on contextual base.FindingsThere is an increasing trend of research on LCSCM, but this research is still in a nascent stage. All supply chain functions such as supplier selection, inventory planning, network design and logistic decisions have been redefined by integrating emissions-related issues.Research limitations/implicationsLimitation of this study is inherent in its unit of analysis. Only peer-reviewed journal articles published in English language have been considered in this study.Practical implicationsFindings of prior studies on low carbon inventory control, transportation planning, facility allocation, location selection and supply chain coordination have been highlighted in this study. This will help supply chain practitioners in decision making.Originality/valueThough there are an increasing number of studies about carbon emission-related issues in supply chain management, the present literature lacks to provide a review of the overarching publications. This paper addresses this gap by providing a comprehensive review of literature on emissions-related issues in supply chain management.

EPSRC Centre for Innovative Manufacturing in Food

EPSRC Centre for Innovative Manufacturing in Food

A Fuzzy-Grey Multicriteria Decision Making Approach for Green Supplier Selection in Low-Carbon Supply Chain

Due to the increasing awareness of global warming and environmental protection, many practitioners and researchers have paid much attention to the low-carbon supply chain management in recent years. Green supplier selection is one of the most critical activities in the low-carbon supply chain management, so it is important to establish the comprehensive criteria and develop a method for green supplier selection in low-carbon supply chain. The paper proposes a fuzz-grey multicriteria decision making approach to deal with these problems. First, the paper establishes 4 main criteria and 22 subcriteria for green supplier selection. Then, a method integrating fuzzy set theory and grey relational analysis is proposed. It uses the membership function of normal distribution to compare each supplier and uses grey relation analysis to calculate the weight of each criterion and improves fuzzy comprehensive evaluation. The proposed method can make the localization of individual green supplier more objectively and more accurately in the same trade. Finally, a case study in the steel industry is presented to demonstrate the effectiveness of the proposed approach.

低炭素型企業経営に向けたグリーンサプライチェーンマネジメント（GSCM）展開構造の研究

低炭素型企業経営に向けたグリーンサプライチェーンマネジメント（GSCM）展開構造の研究