Performance measurement for reverse and closed-loop supply chains

Supply chains today continue to have shorter life-cycle products as a result of high rates of innovation. The increasing number of electronic retailing and catalogue sales fulfil the requirement of home shopping. More liberal return policies have been introduced to protect customers' buying rights and at the same time generate more sales. A growing number of environmental regulations are created which involve a wide range of products. All of these circumstances contribute to the reverse flow of products which require manufacturing organisations to strategically manage and deal with the return flows. Reverse supply chains or reverse logistics have attracted the attention of many academics and practitioners and one of the important field studies in this area is of Supply Chain Management. To contribute to the field, this research is purposely carried out to study the performance measurement in reverse supply chains. Reverse logistics networks may be classified into several categories depending on the source of the reverse flow. This research will focus on customer and distribution return flows. The research is significant because there is a gap in the literature and it could help to give companies guidance in managing their reverse supply chains better. Case studies on five companies which include manufacturers and retailers in the UK provide empirical evidence for their practice of performance measurement in reverse supply chains. The research investigates the selection of strategic objectives for reverse supply chains and the impact of product returns' characteristics and the choice of product returns disposition channels. Learning from the performance measurement in a reverse supply chain, the research proposes a three-level performance measurement framework model for reverse and closed-loop supply chains. This framework model provides the decision makers with a formal and systematic approach to select strategic objectives and towards the use of meaningful performance attributes and performance metrics. Subsequently, it offers a practical approach to the decision maker to perform and manage the reverse supply chain more effectively

Implementation of fuzzy logic to measure supply chain agility

In our age of perennial changing environment, supply chain agility is a crucial factor having a great impact on the company's competitiveness. For transforming supply chain into an agile supply chain, first it is necessary to comprehend the meaning of agile supply chain, since agility has wide range of meanings and various dimensions which covers different aspects of an organization. Generally, however, there have been many researches on agility, proportionally; the concept of agility in supply chain has not been much surveyed. The circumstance unveils the necessity of a technique to measure the supply chain agility. The purpose of the article is to propose a technique, using fuzzy logic which supply chain agility be measured

Performance measurement for reverse and closed-loop supply chains

Supply chains today continue to have shorter life-cycle products as a result of high rates of innovation. The increasing number of electronic retailing and catalogue sales fulfil the requirement of home shopping. More liberal return policies have been introduced to protect customers' buying rights and at the same time generate more sales. A growing number of environmental regulations are created which involve a wide range of products. All of these circumstances contribute to the reverse flow of products which require manufacturing organisations to strategically manage and deal with the return flows. Reverse supply chains or reverse logistics have attracted the attention of many academics and practitioners and one of the important field studies in this area is of Supply Chain Management. To contribute to the field, this research is purposely carried out to study the performance measurement in reverse supply chains. Reverse logistics networks may be classified into several categories depending on the source of the reverse flow. This research will focus on customer and distribution return flows. The research is significant because there is a gap in the literature and it could help to give companies guidance in managing their reverse supply chains better. Case studies on five companies which include manufacturers and retailers in the UK provide empirical evidence for their practice of performance measurement in reverse supply chains. The research investigates the selection of strategic objectives for reverse supply chains and the impact of product returns' characteristics and the choice of product returns disposition channels. Learning from the performance measurement in a reverse supply chain, the research proposes a three-level performance measurement framework model for reverse and closed-loop supply chains. This framework model provides the decision makers with a formal and systematic approach to select strategic objectives and towards the use of meaningful performance attributes and performance metrics. Subsequently, it offers a practical approach to the decision maker to perform and manage the reverse supply chain more effectively

Identifying Student-Focused Intervention Programmes through Discrimination Index

AbstractDiscrimination index is one of the quantitative methods that seek to differentiate between students of high and low achievement by analysing their answers to examination questions at the end of their learning process. This assessment is done based on specific objectives such as identifying the level of students understanding on what they had learnt. Through discrimination index, various intervention programmes that students focused on can be proposed. Intervention programme must be designed according to the level of achievement of the students in the different groups and not based on the overall students’ achievements of the particular cohort. This paper reports a study on discrimination index using index ratings on a final year design-based course at the Department of Mechanical and Material Engineering of Universiti Kebangsaan Malaysia. The calculated indices have been successful in identifying appropriate intervention programmes to suit students of low achievers in the course

Evaluation of End-of-Life Vehicle Recycling in India: A Techno-Socio-Economic Analysis

In light of the rapidly advancing Indian automotive sector, the issue of end-of-life vehicles (ELVs) hasemerged as a matter of significant concern. Particularly critical aspects encompass recycling procedures,environmental impacts, and social implications. With the inevitable proliferation of ELVs anticipated in the nextdecade, the imperative for effective and sustainable ELV management becomes paramount, necessitating acomprehensive analysis of India's burgeoning ELV recycling landscape. The present study endeavors to scrutinizeIndia's ELV recycling system from technological, social, and economic perspectives, constituting a preliminarystep toward a judicious evaluation of sustainability in ELV recycling and performing a SWOT (strengths,weaknesses, opportunities, and threats) analysis to appraise India's ELV recycling framework comprehensively.Furthermore, the ensuing recommendations shall furnish invaluable insights for the development andimplementation of forthcoming regulatory and legal frameworks that adequately incorporate the economic, social,environmental, and technological aspects of ELV recycling in India. To accomplish this endeavor, the study hasdiligently conducted in-depth interviews with pertinent stakeholders, undertaken rigorous field investigations, andadministered comprehensive surveys. Additionally, an exhaustive examination of the existing literature has beenundertaken to probe the current ELV recycling system, address lingering challenges, and proffer recommendationsto elevate the ELV recycling infrastructure. The outcomes of this study may assist in developing deepercomprehension of India's ELV recycling system while furnishing pragmatic recommendations to fortify itsefficacy. &nbsp

Evaluation of End-of-Life Vehicle Recycling in India: A Techno-Socio-Economic Analysis

In light of the rapidly advancing Indian automotive sector, the issue of end-of-life vehicles (ELVs) hasemerged as a matter of significant concern. Particularly critical aspects encompass recycling procedures,environmental impacts, and social implications. With the inevitable proliferation of ELVs anticipated in the nextdecade, the imperative for effective and sustainable ELV management becomes paramount, necessitating acomprehensive analysis of India's burgeoning ELV recycling landscape. The present study endeavors to scrutinizeIndia's ELV recycling system from technological, social, and economic perspectives, constituting a preliminarystep toward a judicious evaluation of sustainability in ELV recycling and performing a SWOT (strengths,weaknesses, opportunities, and threats) analysis to appraise India's ELV recycling framework comprehensively.Furthermore, the ensuing recommendations shall furnish invaluable insights for the development andimplementation of forthcoming regulatory and legal frameworks that adequately incorporate the economic, social,environmental, and technological aspects of ELV recycling in India. To accomplish this endeavor, the study hasdiligently conducted in-depth interviews with pertinent stakeholders, undertaken rigorous field investigations, andadministered comprehensive surveys. Additionally, an exhaustive examination of the existing literature has beenundertaken to probe the current ELV recycling system, address lingering challenges, and proffer recommendationsto elevate the ELV recycling infrastructure. The outcomes of this study may assist in developing deepercomprehension of India's ELV recycling system while furnishing pragmatic recommendations to fortify itsefficacy. &nbsp

A trail to milieu research methodology for application of implementation frameworks in manufacturing sector

The profusely used tools of operational management research in lean manufacturing context include roadmap, conceptual model, implementation frameworks, descriptive planning and assessment checklist. Out of these, an implementation framework development in lean manufacturing sector is common, but faces quandary regarding its development, consolidation and validation – thereby confirming the requirement of availability of succinct platform that aids in research methodology development. The aim of this research is to attain a clear research context, achieved accordingly by detailed literature review study that would subsequently aid in developing a generic research methodology design framework. Concomitant to it, the four layers, the layers of research onion were discussed; followed by selection of appropriate methods for development of research methodology in order to arrive at implementation frameworks. It was observed that for the methodology development, the philosophy of pragmatism is highly suitable, followed by abductive logic, in case of technique, mixed mode research is best, whereas in strategy selection, case study strategy is the most suitable due to its multi-functional ability of in-depth operational study. In addition to that, the mixed-mode approach carries the ability of comparative qualitative and quantitative research through longitudinal and cross-sectional case study respectively. Furthermore, the data collection processes were discussed in relevance to the research objective, which culminated in the formation of a detailed research methodology which has been divided into three major stages of research context and approach, framework development and validation, resulting in attaining implementation framework through literature review, longitudinal case study and cross-sectional case study respectively. The major strength and contribution of this research study is the development of one concise research methodology that is considered as the paradigm shift and a clear innovation towards this field

Performance measurement for reverse and closed-loop supply chains

Supply chains today continue to have shorter life-cycle products as a result of high rates of innovation. The increasing number of electronic retailing and catalogue sales fulfil the requirement of home shopping. More liberal return policies have been introduced to protect customers' buying rights and at the same time generate more sales. A growing number of environmental regulations are created which involve a wide range of products. All of these circumstances contribute to the reverse flow of products which require manufacturing organisations to strategically manage and deal with the return flows. Reverse supply chains or reverse logistics have attracted the attention of many academics and practitioners and one of the important field studies in this area is of Supply Chain Management. To contribute to the field, this research is purposely carried out to study the performance measurement in reverse supply chains. Reverse logistics networks may be classified into several categories depending on the source of the reverse flow. This research will focus on customer and distribution return flows. The research is significant because there is a gap in the literature and it could help to give companies guidance in managing their reverse supply chains better. Case studies on five companies which include manufacturers and retailers in the UK provide empirical evidence for their practice of performance measurement in reverse supply chains. The research investigates the selection of strategic objectives for reverse supply chains and the impact of product returns' characteristics and the choice of product returns disposition channels. Learning from the performance measurement in a reverse supply chain, the research proposes a three-level performance measurement framework model for reverse and closed-loop supply chains. This framework model provides the decision makers with a formal and systematic approach to select strategic objectives and towards the use of meaningful performance attributes and performance metrics. Subsequently, it offers a practical approach to the decision maker to perform and manage the reverse supply chain more effectively.EThOS - Electronic Theses Online ServiceGBUnited Kingdo

Implementation of fuzzy logic to measure supply chain agility

In our age of perennial changing environment, supply chain agility is a crucial factor having a great impact on the company's competitiveness. For transforming supply chain into an agile supply chain, first it is necessary to comprehend the meaning of agile supply chain, since agility has wide range of meanings and various dimensions which covers different aspects of an organization. Generally, however, there have been many researches on agility, proportionally; the concept of agility in supply chain has not been much surveyed. The circumstance unveils the necessity of a technique to measure the supply chain agility. The purpose of the article is to propose a technique, using fuzzy logic which supply chain agility be measured