A Review of Research Methodologies Linking Green Supply Chain Practices and Green Supply Chain Performance

The objective of this paper is to explore the peer-reviewed literature on green supply chain practices and green supply chain performance with the intention of characterizing the research methodologies used in these areas of research. In line with this objective, the constructs Green Supply Chain Practices and Green Supply Chain Performance were identified. As indicated by the literature already published there seems to be certain set of methodologies which have mostly been used and that too frequently. Accordingly, there is a need to do a more detailed study that can pinpoint particular research methodologies that are usually used in research related to green supply chain practices and green supply chain performance. This paper attempts to achieve the aim by using a keyword search for identifying papers related to green supply chain practices and green supply chain performance. Finally the methodologies used are summarized in order of their usage in order to characterize the research methodologies used in linking green supply chain practices and green supply chain performance. This will help newer research work to flow in the right direction without reinventing the wheel and also it will act as a ready reference for newer research work to practicing managers

Green Intellectual Capital And Green Supply Chain Performance: Does Big Data Analytics Capabilities Matter?

In light of global environmental concerns growing, environmental awareness within firms has become more important than before, and many scholars and researchers have argued the importance of environmental management in promoting sustainable organizational performance, especially in the context of supply chains. Thus, the current study aimed at identifying the impact of the components of green intellectual capital (green human capital, green structural capital, green relational capital) on green supply chain performance in the manufacturing sector in Jordan, as well as identifying the moderating role of big data analytics capabilities. To achieve this aim, we developed a conceptual model of Structural Equation Modelling-Partial Least squares and tested through the Smart-PLS software on a sample of 438 respondents. Empirical results showed that each of the components of green intellectual capital and big data analytics explains 71.1% of the variance in green supply chain performance and that all components of green intellectual capital have a statistically significant impact on green supply chain performance. The results also revealed that the relationship between green relational capital and green supply chain performance is moderated through big data analytics capabilities. Finally, this study made a theoretical and managerial implications to the supply chain literature and industry

Exploring Lean and Green Supply Chain Performance Using Balanced Scorecard Perspective

Authors would like to acknowledge Fundação para a Ciência e Tecnologia for its support (project MIT-Pt/EDAMIASC/0033/2008). Susana Duarte was supported by a PhD fellowship from Fundação para a Ciência e Tecnologia (SFRH/BD/60969/2009).Going lean/green is a trend more manufacturers are beginning to recognize as important in an era of economic aus-terity and environmental responsibility. Unlike lean supply chain, which focuses on ways to improve operations and cut wastes from the customer's perspective, green initiatives look at ways to eliminate waste from the environment's perspective. Looking at operations from a ‘lean/green' perspective has benefits to not only the environment, but to manufacturers and customers as well. Based on the literature review we developed a conceptual model incorporating lean and green supply chain into a performance measurement system, using the balanced scorecard approach.publishersversionpublishe

Improving green supply chain performance with Operations Research

Due to increasing greenhouse gas emission as a consequence of the production activities in various industries, managing the supply chain has been a big concern between both scholars and practitioners. Green supplier selection and order allocation is among important topics that managers should pay attention to as the majority of the supply chain costs and emission level during production process depends on the procured material by suppliers. Also, investigating the emission abatement regulations, and interactions between regulator and manufacturers is one of the main concerns of supply chain managers that should be figured out. In the present study, green supply chain problems are taken into account for more investigations. First, a green supplier selection and order allocation model in a closed-loop supply chain considering both environmental and economical criteria, is studied. In this study, one of the carbon emission abatement schemes, cap-and-trade mechanism is proposed. The described problem is modeled as a multi-objective robust optimization (RO) model. Second, the cap-and-trade (C\&T) mechanism is further investigated. The goal of this investigation is to find the best strategy for supply chain parties to maximize their utility as well as minimize the carbon emission. To model the described problem, a stochastic three-player game theoretical model is developed. The results show that the developed models can effectively help decision makers select the most appropriate suppliers, allocate the proper amount of order to each selected supplier, and find optimal strategy of C\&T players. Also, the results show that the uncertainty control approaches used in the presented models are capable of handling the model uncertainties from different sources. Furthermore, this study shows that C\&T outperforms the penalty based systems in terms of the total utility of the supply chain. Moreover, the robustness of the results is proved by sensitivity analyses. Another area that is investigated in this study is the disruption effects on supply chain. Disasters and pandemics like COVID-19 can destroy industries by causing huge disruptions in their supply chains. To control these disruptions, decision-makers need to design resilient supply chains. This study proposes a multi-stage, multi-period resilient green supply chain design model considering six resilient strategies. Disruptions are taken into account in both downstream and upstream directions, causing the ripple effect and bullwhip effect, respectively. To control the mentioned disruptions, and handle uncertainties of parameter estimations, a two-stage stochastic optimization approach is applied. The objectives are to minimize the total cost of disruption and $CO_{2}$ emission considering the cap-and-trade mechanism as a government-issued emission regulation. The proposed decision-making framework and solution approach are validated using a numerical experiment followed by a sensitivity analysis. The results show the optimal structure of the supply chain and the best resilient strategies to mitigate the ripple effect. Moreover, the effect of a decrease in capacity of facilities on the optimal solution and the applied resilient strategies is investigated. This study provides managerial insights to help governments set the proper amount of cap and supply chain managers to predict the demand behaviour of essential and non-essential products in the event of disruptions

Green supply chain performance assessment: exploration fuzzy logic to tackle linguistic evaluation information

Green Supply Chain Management (GSCM) has appeared as an environmental innovation integrating environmental concerns into the supply chain management. Due to recent modification in environmental requirements, Govt. rules and regulations that affect manufacturing operations and services; growing attention is being given towards inclusion of environmental management strategies into traditional concept of supply chains. A Green Supply Chain (GSC) aims at confining the wastes within the industrial system so as to conserve energy and prevent the dissipation of harmful materials into the environment. In order to assess GSC performance extent, ‘green attributes’ must be considered along with traditional SC performance indices. The present work aims to discuss a methodology to deal with linguistic evaluation information through fuzzy logic for evaluating green supply chain performance and also attempts in identifying and prioritizing the key factors towards increasing ‘green competitiveness’. Here, the performance criteria/attributes have been evaluated by the expert group through linguistic variables which have further been transformed into Generalized Trapezoidal Fuzzy Numbers (GTFNs). Linguistic assessment of GSCM has been carried out based on different attributes, such as customer value, quality evaluation, performance measurement, appropriate price and environmental effect. Each attribute is followed by several criterions. Because of the vague and inconsistent nature of decision-makers’ linguistic evaluation information associated with GSCM; a fuzzy-based approach is indeed required to convert linguistic data into appropriate fuzzy numbers, for the analysis purpose. Apart from computing overall green performance extent, this research has been extended to identify ill-performing areas of an organizational GSC. Moreover, a case study has been reported in support of application feasibility of the proposed module

Lean, green practices and process innovation: a model for green supply chain performance

This paper investigates the relationship between lean, process innovation, green practices and green supply chain management performance. Data were gathered by surveying 374 firms in the manufacturing supply chain industry. Structural equation modeling (SEM) was employed to analyze the collected data. The study results show general support for the theoretical research framework. Findings reveal that there is a synergetic effect between process innovations, green and lean practices playing a crucial role towards the improvement of green supply chain performance. This paper presents an innovative approach since it studies simultaneously the three dimensions of sustainability (environmental, social and economic), the lean, the innovation process and green paradigms which are considered strategic for supply chain competitiveness. Investigation of the relationships between the four strategies is a contribution that the authors hope will become a forward step in the promotion of sustainability as a third dimension of the manufacturing supply chain, along with the efficiency and responsiveness dimensions

Investigating ISO 14001 for developing green supply chain performance

Delivering superior performance than competitors has always been the significant force for any company’s success and companies are constantly endeavoring for different initiatives to gain advantage over their competitors. Recently, green supply chain management has been receiving great interest from researchers and practitioners. Consideration has been given to consider environmental factors in entire supply chain starting from the procurement, production, transportation, consumption, and post disposal of products for making the whole product life cycle green. The main objective of the study is to identify the relationship between ISO 14001 and green supply chain management and how it can be used for green supply chain planning. The thesis is divided into two parts. In the first part, we decide whether ISO 14001 practice is beneficial to make supply chain green and in the second part we identify the customer and the technical requirements for green supply chain planning on the basis of ISO 14001, investigate their relationships, and propose a QFD based approach for selecting best green supply chain initiative(s) for organizations. The data for the study is collected from published reports of 20 different companies belonging to three sectors namely food and beverage, transportation, and retail that are implementing green practices in their supply chain. The proposed approach has strong practical applicability for organizations considering investing in ISO 14001 for improving green supply chain performance

Contribution of components of Green Supply Chain Execution-Supply Loops in Green Supply Chain Performance measurement-A Pilot Empirical Study of the Indian Automobile Manufacturing Sector

This paper is one of the several extensions of the research works done by [5]. Green Supply Chain Practices have been known to have an impact on Green Supply Chain Performance [5].This paper tests empirically through a pilot study of the Indian Automobile Manufacturing Sector, the contribution of the three variables constituting the construct Green Supply Chain Execution-Supply Loops in Green Supply Chain Performance measurement. Also the paper establishes the reliability of the questionnaire instrument developed previously for measuring the construct Green Supply Chain Execution-Supply Loops and also for measuring the three variables that constitute the construct Green Supply Chain Execution-Supply Loops. Further the paper establishes the correlation among these three variables. Finally this paper conducts Confirmatory Factor Analysis (CFA) to arrive at one factor (linear combination of three variables constituting the construct Green Supply Chain Execution-Supply Loops) to aid in measuring the construct Green Supply Chain Execution-Supply Loops. Finally the paper establishes the order of contribution of the three variables constituting the construct Green Supply Chain Execution-Supply Loops

Perancangan Model Pengukuran Kinerja Green Supply Chain Pulp dan Kertas

Green supply chain performance measurement system is required to manage environmental risk, increase competitive and obtain appropriate strategy for company. Performance measurement system in PT RAPP only focus on midstream and downstream operation related with manufacturing processes and supplier. The problem is how to redesign existing performance measurement system for pulp and paper in PT RAPP, so that downstream operation related with distributor can be integrated into green supply chain performance measurement system. Research objective designing conceptual and computer model for green supply chain measurement of pulp and wherein information entire supply chain can be managed well. Conceptual model is designed with involving activities such as stakeholder identification, stakeholder green requirement analysis, green objective identification, and KPI weighting. Supply chain operations reference (SCOR) metric is applied to identify key performance indicator (KPI). KPI weighting is determined by AHP method. Computer application is designed by combining database, mathematical formulation, and user interface. it is designed to implement conceptual model. Research result is consisting of two levels with fifteen objectives and twenty seven KPI’s. Proposed application has capability to support decision maker in calculating partial and total performance measure each period. It is designed specifically with quantitative measure to support operational decision making related with environmental aspect.Keywords: Green, supply chain, SCOR, performance measur