Managing a business-to-business (B2B) supply chain relationship is an endless challenge. Many recent systematic literature review studies have discussed supply chain relationships from various perspectives. However, a comprehensive analysis, summarising the existing research, explicitly identified the implemented B2B supply chain relationships and found the effects of these relationships on supply chain performance remain lacking. To address the gap, this article presents a systematic literature review based on the PRISMA approach regarding the nature of the supply chain relationships between B2B partners and their effect on supply chain performance. Web of Science and Scopus were used in the compilation of studies published between 2000 and 2020. Findings indicate that the majority of B2B partners use a collaborative relationship approach and that the impacts are marked on the operational, financial, innovation, environmental, social and economic performance of their supply chain. This study seeks to contribute to the existing literature on B2B supply chain relationships by conducting a thorough and unbiased review of previous studies, drawing more general conclusions about the adopted supply chain relationships between B2B partners and providing insights for future research.

End-of-life vehicle (ELV) management is becoming increasingly important as the automotive industry is one of the world’s most critical sectors and is rapidly expanding. ELV management is essential for environmental protection and wellbeing under Sustainable Development Goal (SDG) 3, provides more jobs under SDG 8, and promotes a circular economy under SDG 11. All these factors contribute to the importance of ELV management as a research topic. Today, ELV management is well-positioned and an emerging research area particularly on ELV recycling systems in Europe, Japan, Korea, Taiwan and China. This paper aims to provide a review of ELV management in Malaysia, Thailand and Indonesia, which are the major automotive production bases in Southeast Asia, but which lack formal ELV recycling policies. Towards this end, the researchers have adopted a qualitative study in which document research has been used to analyze existing scientific studies and other published sources. The findings reveal that immature ELV management systems in Malaysia, Thailand and Indonesia are the reason that no specific ELV laws and regulations exist, as well as why there are no precise ELV statistics. Nevertheless, there have been growing concerns about ELV management, as evidenced by environmental regulations and programs aimed at better management of ELV recycling in these countries. These findings will assist the respective authorities in formulating specific laws and regulations that will ensure sustainable management of ELV and will also ensure a better life and economy for society and for industry.

The consideration of uncertainty in closed loop supply chains (CLSC) is a crucial aspect that has been discussed frequently in recent research. Despite a wealth of literature on CLSC modelling, a recent comprehensive review of remanufacturing models in CLSC incorporating an analysis of uncertainty trends has yet to be undertaken. The primary purpose of this paper is to analyse and review the existing research streams encompassing mathematical modelling and optimisation of remanufacturing systems in the CLSC, specifically in the context of decision-making methods. This paper focuses on reviewing remanufacturing uncertainty such as demand, inventory, cost, return yield, as well as the environment and seeks to clarify solutions to problems, including production planning, network design, channel coordination, contract, pricing, supplier selection, and inventory management for the past eight years. A total of 118 research articles were analysed to discover trends on problems, uncertainty categories, mathematical modelling techniques, and solution approaches, as well as providing research gaps and potential future extensions for researchers of common interest. Results from the analysis show that network design and production planning are the most frequent problems considered by previous authors, while analysis of demand and return yield uncertainties in the remanufacturing cycle are the most preferred studies. Finally, limitations and future research needs for decision-support methods in CLSC were identified such that risk domains can be further explored.

Various uncertainties exist in the End-of-Life Vehicle (ELV) industry, which further complicates the ELV business’s growth. In order to pursue greater progress in the ELV business establishment, a comprehensive analysis of previous ELV studies with regard to the supply chain uncertainty perspective is essential. The objective of this study is aimed at categorising the existing supply chain uncertainty sources according to their end-of-life (EoL) strategies, identify the management approaches adopted to analyse the prominent research trends, and conduct a regional analysis of ELV supply chain studies for the past years, from 2016 until 2022. The content analysis method was used to extract all the essential information from previous research, and an analysis was performed to obtain the latest research trends and identify the relationship between the gathered data. The findings show that the past research focuses on three main supply chain uncertainties, namely, uncertainty in logistics and network facilities (31.8%), production and operations (30.7%), and environmental (25.0%). Furthermore, the regional analysis shows that 83% of the studies were conducted in developing countries over the past years. Lastly, several research gaps were presented to provide researchers with potential directions and the way forward to explore ELV supply chain research from the uncertainty management context.

The objective of this study is to conduct a systematic literature review (SLR) to identify the barriers and critical success factors that influence in the implementation of Lean Supply Chain Management (LSCM) practices in the industry. Through the analysis systematic literature review, it is hoped to identify the main gaps related to LSCM implementation in literature and industry and also discusses the relevance of research in this topic for indicating the future research direction. A SLR method was used, developed and determined. It is about 48 research articles were analyzed. The content of the present literature was reviewed, critically analyzed and synthesized from the perspective of barrier and critical success factors that influence the implementation of LSCM. Based on the extensive systematic review of the literature, we discovered the consistency data between Barriers and Critical Success Factors. This study strengthens the body of knowledge on the issue and consolidates the key LSCM activities, extending previous studies on LSCM barriers and critical success factors associated with its implementation. The clear identification of these topics can allow researchers and practitioners to predict occasional problems and to set the right standards for the implementation of the LSCM.