Reverse Logistics Performance Research Articles

Performance of green supply chain management: Investigating the role of reverse logistics and green procurement aspects in SMEs

The purpose of this study is to analyze the relationship between the performance of Reverse Logistics and Green Supply Chain Management, to analyze the relationship between Green Procurement Aspects and the performance of Green Supply Chain Management. This research method is quantitative, the analysis of research data uses the partial least square structural equation model (SEM-PLS) with a statistical data processing tool, namely SmartPLS 4.0 software. Research data was obtained by distributing online questionnaires through social media designed using a Likert scale of 7. Respondents in this study were 670 SMEs owners in Java Island, Indonesia. The stages of data analysis are validity test, reliability test and significance test or hypothesis test. The results of this study indicate that Reverse Logistics has a positive and significant effect on the performance of Green Supply Chain Management, Green Procurement Aspects has a positive and significant effect on the performance of Green Supply Chain Management. The novelty of this study is the relationship model between Reverse Logistics variables, the performance of Green Supply Chain Management and Green Procurement in SMEs which was not found in previous studies. Culinary SMEs are expected to be able to participate in supporting environmentally sound development. This is because the concept of Green Supply Chain Management (GSCM) is a concept that aims to minimize the negative impact of an organization and its supply chain on the environment related to climate change, pollution and resources that are not too large. In order to support GSCM, it is necessary to evaluate the extent to which this concept is carried out by Culinary SMEs. By conducting this evaluation, it is hoped that the constraints and obstacles faced by SMEs in carrying out GSCM can be identified. For this reason, it is necessary to have support from related parties, in this case the government, to conduct socialization and counseling and assistance in implementing GSCM.

Investigating the Drivers of the Reverse Logistics Implementation in Reducing Waste in Vietnam.

Reverse logistics systems are now acknowledged as being crucial for enterprises to enhance their overall financial and environmental performance, particularly in developing nations where they face more challenges on both fronts. The majority of researchers examined drivers and barriers to implementation in developed nations. This study aims to investigate the main factors that positively influence the practice of reverse logistics in a developing country such as Vietnam. The study employed a sample of 287 managers within 5 industries. According to the findings, 4 key factors influenced the reverse logistics implementation in developing countries: economic drivers, competitive drivers, outsourcing drivers, and environmental drivers. Regulation drivers and reputation drivers have little influence on reverse logistics performance, contrary to predictions. The findings help scholars in understanding the factors influencing reverse logistics operations in emerging nations. Furthermore, the findings demonstrate differences in the drivers of reverse logistics execution in developing and developed countries.

Determining Factors and Performance of Reverse Logistics in Electronic Waste Products : Evidence from Chinese Companies

Determining Factors and Performance of Reverse Logistics in Electronic Waste Products : Evidence from Chinese Companies

Remanufacturing and its impact on dynamic capabilities, stakeholder engagement, eco-innovation and business performance

The adoption of eco-innovation by firms is influenced by internal and external factors, such as their resources and capabilities, and external factors, such as regulations. In this study is analyzed how resources and capabilities in remanufacturing enable a firm to integrate, create and reconfigure resources for sustainability in their dynamic business environment. A conceptual model, empirically validated through a survey, applied SmartPLS apps, the primary software used in partial least squares structural equation modeling (PLS-SEM). The results show there are positive and statistically significant relationships between Eco-Innovation and Dynamic Remanufacturing Capacity and between Eco-Innovation and Business Performance. However, the relationship between Eco-innovation and Stakeholder Engagement was not statistically supported. This shows that investments in Remanufacturing Prerequisites directly and positively affect Dynamic Remanufacturing Capabilities. The results show that there are positive and statistically significant impacts between EcoDim and DCRem (β = 0.304; p-value = 0.001) hypothesis (H1) and between EcoDim and BP (β = 0.358; p-value = 0.001) hypothesis (H2). Rem-Pre directly and positively affects DCRem (β = 0.490; p-value < 0.001) hypothesis (H3). However, the relationship between DCRem and BP (β = 0.200; p-value = 0.076) hypothesis (H4) is not statistically supported. Finally, this article is useful for academics and professionals alike, recognizing that more research effort is needed to extensively examine the factors driving consumer perceptions of remanufacturing acceptance and return behaviors, starting with a clear understanding of what consumers really want and what drives demand for remanufactured products. As a practical contribution to this study, it is expected that managers understand the importance of the dyad buyer-supplier relationship to the company's Eco-innovation practices to ensure competitive strategies for incorporating environmental values into reverse logistics performance. More specifically, to avoid wasting resources, they must perceive the importance of managing the resources and capabilities of reverse logistics to reduce the vulnerability, uncertainty and complexity of environmental dynamism in the relationships of its actors. Furthermore, the coordinated development of dynamic remanufacturing capabilities is suggested, presenting the conceptual evaluation model to support future research on this topic.

Economic–Environmental Performance of Reverse Logistics of Disposable Beverage Packaging

The aim of this article is to provide analysis and description of deposit and recycling system of disposable beverage packaging, which started in the Slovak Republic in 2022. The article provides the review of relevant literature with a focus on circular economy and Deposit Refund System (DRS), where analysis of refund systems was performed for this work. The proposed model involving reverse logistics describes how such deposit and collection system can work in practice, highlighting potential disadvantages, mainly the high investment costs. Therefore, the article also includes a financial analysis exploring potential cost of establishing said deposit and collection system. The number of necessary collection point for Slovakia has been determined and the total investment costs for the vending machines installations and service in Slovakia has been calculated.

Applicability of Industry 4.0 Technologies in the Reverse Logistics: A Circular Economy Approach Based on COmprehensive Distance Based RAnking (COBRA) Method

The logistics sector plays one of the most important roles in the supply chain with the aim of providing a fast, flexible, safe, economical, efficient, and environmentally acceptable performance of freight transport flows. In addition, the popularization of the concept of a circular economy (CE) used to retain goods, components, and materials at their highest usability and value at all times, illustrates the importance of the adequate performance of reverse logistics (RL) processes. However, traditional RL is unable to cope with the requirements of modern supply chains and requires the application of Industry 4.0 technologies, which would make it more efficient. The main aim of this study was to evaluate the applicability of various Industry 4.0 technologies in the RL sector in order to point out the most applicable ones. To solve the defined problem, a novel multi-criteria decision making (MCDM) model was defined by combining the best—worst method (BWM) to obtain the criteria weights, and the newly developed comprehensive distance-based ranking (COBRA) method to rank the technologies. Another aim of the study was to validate the newly established method. The results indicated that the most applicable technologies were the Internet of Things, cloud computing, and electronic—mobile marketplaces. These technologies will have a significant impact on the development of RL and the establishment of CE systems, thus bringing about all the related positive effects.

Reverse Logistics Performance Indicators for the Construction Sector: A Building Project Case

While the performance evaluation of reverse logistics (RL) practices in the construction sector is crucial, it is seemingly limited compared to that in the manufacturing sector. As the project life cycle in the construction sector is typically long, effective coordination among the stakeholders is needed to integrate RL into each phase of the project life cycle. This paper proposes a new model of RL for the construction industry, incorporating the dimensions, elements, and, most importantly, indicators needed for the evaluation of RL performance. The model was initially derived from the extant literature. It was then refined through (1) focus group discussion, by which suggestions pertinent to the proposed model were collated from academics and practitioners, and (2) judgments by academics and practitioners to validate the model. The validated model includes 21 indicators to measure RL performance, spanned throughout the green initiation, green design, green material management, green construction, and green operation and maintenance phases. The paper offers a new method for how RL can be adopted in the construction industry by proposing an innovative model that will benefit stakeholders in the construction industry.

Reverse Logistics Analysis on Household Electronic Waste Management Using System Dynamics Simulation Approach

E-waste is the fastest-growing type of waste in the world. The formal sector can play a role in managing waste according to environmental standards and minimizing the risk of fraction recovery with supporting facilities. However, the formal sector of e-waste management simply cannot compete with its informal sector, which has a dominant role in Indonesia. This study aims to identify what factors influence formal sector e-waste management, how it is currently performing, and to design better policies for e-waste management. This research uses the System Dynamics approach to view the complex systems of e-waste management holistically. In Jakarta, public awareness and the competition with the informal sector were the biggest challenge in this industry. The results show that public awareness-raising policies can gradually improve reverse logistics performance and economic benefits. In addition, the WEEE Processing Fund policy can double the performance and economic benefits.

Sustainable reverse logistics practices and performance evaluation with fuzzy TOPSIS: A study on Indian retailers

Reverse Logistics (RL) is one of the crucial topics for discussion among academicians in the field of environmental performance and sustainability through businesses. RL is found an effective strategy for the business, environment, and sustainable development in many studies. RL is imperative due to various reasons such as reducing environmental problems, cost controlling, competitive advantage, and many more. But, still, the area of RL is not saturated enough; there are various issues that researchers need to address. In this paper, we have focused our concern towards the RL parameters and organised retailers in India. Retailers are one of the significant links in RL process and hence their role is also critical. The paper helps to analyze the RL practices adopted by the organised retailers and their performance. A Technique for Order of Preference by Similarity to Ideal Solution, which is usually abbreviated as TOPSIS generally referred to as the multi-criteria decision analysis method while fuzzy TOPSIS is incorporated to choose the best practitioner of RL among all retailers. The output of the study is based on multiple case studies. Based on the results of RL parameters, the second retailer has emerged as the top while the fifth retailer is found as the lowest among all the retailers. The findings of the study provided a rank of them that aid others to improve their performances. Further, the identified RL parameters as critical inputs indicate the retailers being extra proactive and well-arranged encompassed of twenty-four retailers in three groups. The study’s emphasis on vital factors will support others to achieve higher productivity for higher sustainability in the retail sector context.

Reverse Logistics Enterprise Performance Research Based on Super-Efficiency DEA and LMBP Neural Network

On the basis of considering the characteristics of reverse logistics enterprises, this paper uses stakeholder theory to establish an evaluation system containing 36 indicators in five dimensions, based on the balanced scorecard, and adopts PCA optimization index. In view of the performance evaluation problem, first, the performance data is obtained by using the super-efficiency DEA, then the enterprise performance of A company is fitted by LMBP neural network to obtain the quantitative model of performance evaluation, and finally, according to the resulting weight reference performance benchmark, the direction of reverse logistics enterprise performance improvement is given. The simulation results show that the index system can react to the reverse logistics characteristics very well, and the BP neural network based on LM algorithm can accurately and efficiently evaluate the performance of reverse logistics enterprises which has better generalization, and can find out the key performance indicators and give reasonable optimization direction for enterprises by reverse tracking the weights of the neural network.

A Selection of Barrier Factors Affecting Reverse Logistics Performance of Thai Electronic Industry

A Selection of Barrier Factors Affecting Reverse Logistics Performance of Thai Electronic Industry

Measuring the Reverse Logistics Performance of Construction Machinery Remanufacturing Company

This study develops a method to measure the performance level of reverse logistics implementation operated by companies engaged in the construction machinery remanufacturing industry. A framework of reverse logistics performance measurement that focuses on the processes and resources is developed using the Capability Maturity Model approach. The framework was designed in three dimensions: front-end, engine, and back-end, with five levels of model maturity, i.e., initial, aware, defined, managed, and optimizing. The assessment was carried out through 25 indicators and model validation was done by implementing the proposed framework on three construction machinery remanufacturing companies in Indonesia. The results show that the three companies were at different maturity levels. Further analysis explains that the front-end dimension has the lowest score of a successful reverse logistics implementation. Therefore, companies that engage in a similar field should focus more on the front-end dimension to improve their overall reverse logistics performance.

Reverse logistics performance measures: a survey of Brazilian companies

Goal: The purpose of this research was to determine the most frequently used performance measures for the evaluation of reverse logistics in Brazilian companies. Furthermore, we sought to verify whether a correlation exists between certain performance measure dimensions (cost, asset management, customer service, and productivity), company size (micro, small, medium, and large), and their sectors of the economy.&#x0D; Design/Methodology/Approach: A survey of 125 Brazilian companies from different industrial sectors was conducted. Hypothesis testing allows carrying out inferences about population parameters, and the results indicate the acceptance or rejection of the hypothesis formulated.&#x0D; Results: This study presents a list of measures for the assessment of reverse logistics in different industrial segments, evidencing the major performance measures used. According to statistical analysis, large-sized companies are those that most frequently adopt performance measures to assess reverse logistics in Brazil. However, no correlation was verified between the performance measure dimensions evaluated and the sectors of the economy.&#x0D; Limitations of investigation: This study could not conclude about the maturity level of performance measurement in the investigated companies. The results presented are the first step towards reverse logistics performance measurement and more complementary studies are necessary.&#x0D; Practical implications: This paper presents a list of performance measures for reverse logistics assessment. This information could support decision making as it provides a possibility of analyzing the choice of the best measures.&#x0D; Originality/value: The main contribution of this paper is related to the scarcity of reverse logistics metrics in the literature. As an exploratory study, it could be used to improve the reverse logistics performance measurement studies and practice.

Correlation of Reverse Logistics Performance to Solutions Using Structural Equation Modeling

Nowadays, reverse logistics (RL) is one of the key strategies in many industries, especially in the electronics industry due to increasing environmental awareness and sustainable management. The main aim of this research is to investigate the correlation of RL performance to solutions for RL practice of the electronics industry in Thailand. In this research, questionnaires were distributed to 417 companies in the electronics industry of Thailand. A conceptual model was developed and the model examined by using structural equation modeling (SEM). Both exploratory factor analysis (EFA) and confirmatory factor analysis (CFA) were used in this study. The hypotheses were tested in which RL performance was directly positively associated with the overall solutions for RL practices. RL performance was also indirectly positively associated with management &amp; organization solutions, legal &amp; technology solutions and collaboration and support solutions of the various solutions for RL practices. Empirical data was tested by using SEM and it was found that the proposed model could fit with the empirical data. The proposed results of this study will help to understand more about RL practices and could provide further direction for researchers and practitioners in the electronics industry and other related industries.

Evaluation of the reverse logistics performance in civil construction

Reverse logistics is responsible for the return of materials to the production process to be reused, recycled, remanufactured, or have an environmentally correct final destination. Every year, civil construction generates a large volume of waste that can be recovered through reverse logistics. The performance evaluation of these activities is necessary for managers to know the real efficiency and effectiveness of their actions and to avoid unnecessary expenses and losses. However, this activity is still not widely practiced in developing countries, such as Brazil and Colombia. This research aims to propose a model for the evaluation of LR performance in civil construction to assist the practice of return activities in developing countries. Initially, a bibliographic search was performed to find indicators for the model. The reverse flow in the civil construction was mapped based on works published in Brazil and Colombia. From this mapping, a 12 indicators model was elaborated to approach supply logistics, internal logistics operations, and the waste management of the construction companies, in order to evaluate the performance of this sector. Also, these indicators were prioritized through the AHP method. With this prioritization, it is possible to know which indicator deserves greater attention from managers when implementing improvements. As a way to demonstrate applicability, the model was applied in a Brazilian company and other Colombian companies. It was noticeable that the Brazilian company does not have much control of its operations because it was not possible to calculate five indicators of the model due to lack of information, whereas in the Colombian company, only one indicator was not calculated due to lack of information. When analyzing the results obtained, the model provides useful data for the managers when demonstrating where the company is reaching its goals and where improvements in the process are necessary. Both companies have improving their performance in the green purchasing indicator as a priority. Both sets targets that were not met for this indicator, and according to the prioritization made by AHP, this is the point that deserves special attention from both companies. Improvement points deserve special attention from both companies. Therefore they were highlighted for each one of them and also for the model so that it could be applied in other organizations in the sector.

Forecasting product returns and reverse logistics performance: structural equation modelling

PurposeForecasting product returns plays an important role in the operations of reverse logistics (RL). However, their contribution to sustainability performance is yet to be explored. The purpose of this paper is to explore the product returns in Indian electronics industry and examine the relationship of forecasting product returns with triple bottom line performance of RL.Design/methodology/approachIn this study, based on past literature review, four hypotheses, relating to forecasting of product returns and its association with performance, were developed. A questionnaire was sent to 700 respondents from the Indian electronics industry. Overall, 208 received responses were found suitable for the research. The necessary statistical analysis was carried out to ensure the reliability and validity of the questionnaire. In order to test different hypotheses, partial least square path modelling (PLSPM) technique of structural equation modeling was utilized.FindingsMeasurement model had shown sufficient data fit for the modeling. PLSPM results reveal that the accuracy in forecasting product returns is positively associated with operational performance of RL. It also plays an important role in the sustainability efforts of an organization.Research limitations/implicationsManagers can utilize results of study for exploring and emphasizing issues of product returns for improving RL performance. One of the limitations is that data are collected only from Indian electronics industry. Another limitation is that only product returns are considered for the operational and TBL performance of RL. In future, study may be carried out considering different factors in other sectors and countries.Originality/valueThe intent of forecasting product returns is considered to be operational efficiency. It can make significant contributions to the sustainability efforts of an organization. Review of the past literature indicates that research in the field of RL is in developing stage, and issues related to forecasting product returns are under-represented. The paper adds value to the few available articles on product returns.

Analyzing disposition decisions for sustainable reverse logistics: Triple Bottom Line approach

In last few decades, circular economy concepts have gained a lot of consideration because of its focus towards sustainability. Reverse logistics play an important role in the adoption and implementation of circular economy concepts in supply chains. It is defined as “sequence of activities required to collect the used product from the customers for their disposition to either reuse or repair or re-manufacture or recycle or dispose of it”. Disposition is one of the crucial decisions which may greatly affect the reverse logistics performance from sustainability perspective. It also plays an important role in improving the operational efficiency of the reverse logistics. The objective of this study is to explore the reverse logistics in context of Indian electronics industry and examine the effect of disposition decisions on Triple Bottom Line (TBL) i.e. economic, environmental, and social performance of reverse logistics. Hypotheses related to disposition decisions and TBL performance was developed. A survey instrument was prepared and was sent to seven hundred organizations from the Indian electronics sector. Over all 208 responses were found suitable for the research. All the necessary statistical analysis was carried out to ensure the reliability and validity of the questionnaire. Partial least square path modelling technique of structural equation modeling has been used for testing the research hypothesis. Measurement model had shown sufficient data fit for the modelling. Partial least square path modelling results reveal that effectiveness of disposition decisions is positively associated with TBL performance. The article contributes to the few studies available on improving the reverse logistics performance. Findings will be useful for managers in managing reverse logistics in effective manner.

Exploring the relationship between reverse logistics and sustainability performance

PurposeThe implementation of reverse logistics (RL) as a strategic decision has gained significant attention amongst organisations due to its benefits to sustainable development. The purpose of this paper is to provide a comprehensive review of the literature to evaluate the performance of the RL process based on the three dimensions of sustainability including environmental, economic and social aspects.Design/methodology/approachContent analysis was adopted to collect and analyse the information.FindingsThe findings of this research show that most of the studies have focused on the performance evaluation of RL by considering the factors associated with economic and environmental performance. The social aspect of RL has been overlooked and requires investigation due to its contribution to positive social outcomes. In addition, no research has been conducted to assess the impact of each of the disposition options on the triple-bottom-line sustainability performance in one study.Originality/valueAlthough RL can make a significant contribution to improving the sustainability performance of firms, little research has been undertaken on exploring the relationship between RL and sustainability performance. This paper provides practitioners, academics and researchers a broad and complete view of the relationship between RL and sustainability performance with suggestion for future research.

A Study on the Performance Measurement for Reverse Logistics Using AHP

본 연구는 효과적인 물류관리 및 역물류관리를 위해 기업의 역물류관리에 영향을 미치는 다양한 기업 내부 및 외부 요인들을 검토하고, 역물류성과관리측정 모형을 개발하기 위해 시도되었다. 이를 위해 상대적 중요도와 우선순위를 이해할 수 있도록 추출된 요인과 측정요소를 중심으로 3단계 계층적 구조 모형을 개발하고 AHP를 적용하여 실증연구를 수행하였다. 실증분석 결과 및전략적 시사점은 다음과 같이 요약된다. 첫째, <제1단계> 최상위기준은 역물류관점에서 고려되는 기준으로, 경제적 관점, 사회적 관점, 고객서비스관점, 법적 관점의 4개 관점이 추출되었는데, 이중 법적 관점(0.667)이 가장 중요한 요인인 것으로 분석되었다. 둘째, <제2단계> 요인(상위기준)의 역물류 구성요인은 가치 창출, 관리비, 경영성과, 기술혁신, 사회 안전, 사회와 환경 활동, 고용 창출, 장기적 관계, 서비스 차별화, 법률 준수의 10개 요인으로 구성되었는데, 경제적 관점의 경우는 가치 창출(0.521)이, 사회적 관점의 경우는 기술혁신(0.372)이, 고객서비스관점의 경우는 장기적 관계(0.722)가 가장 높게 나타났다. 이와 같은 결과는 기업이 효과 적인 역물류 성과관리를 위해서는 역물류성과에 영향을 주는 다양한 요인들 중 가장 우선적으로 고려할 사항은 법적 관점 혹은 경제적 관점으로, 경영자는 이에 초점을 두어 의사결정을 해야 함을 시사한다.The purpose of this study is to examine the internal and external factors affecting the reverse logistics management and to develop the reverse logistics performance management measurement model for effective logistics management and reverse logistics management. To do this, this study conducted an empirical study using AHP to understand relative importance and priorities, and developed a three -level hierarchical structure model based on extracted factors and measurement items. Empirical results and strategic implications are summarized as follows. First, <the first level hierarchy> is to consider the four aspects of the economic, social, customer service, and legal aspects of the reverse logistics perspective. Among them, the legal perspective (0.667) was the most important factor. Second, the factors of the reverse logistics of <the second level hierarchy> factors are value creation, management cost, management performance, technology innovation, social safety, social and environmental activity, creation of employment, long term relationship and service differentiation and value creation(0.521) in the economic perspective, technological innovation (0.372) in the social perspective, and long term relationship (0.722) in the customer service perspective were the most important factors. These results suggest that for effective reverse logistics performance management, decision-making should be focused on legal or economic aspects as the most important factors to be influenced by reverse logistics performance.

Interpretive Structural Modeling Technique to Analyze the Interactions Between the Factors Influencing the Performance of the Reverse Logistics Chain

The aim of this study is to analyze the interactions among the different factors influencing the performance of the reverse logistics chain. We attempted to explore the factors touching performance of reverse logistics relatively to customer satisfaction. We have proposed a structural analysis based on MICMAC (Impact Matrix Cross-Reference Multiplication Applied to a Classification) method to classify factors rendering their direct/indirect influences and dependencies. The upshot of this research is to identify the relationship between the 31 variables used in the experimentation. It observed that this exploration might cooperate in reverse logistics policy development arrangement, motivated by customer necessity.