Successful Implementation Of Reverse Logistics Research Articles

Interdependent Influences of Reverse Logistics Implementation Barriers in the Conditions of an Emerging Economy

This research paper aims to investigate the interdependent influences of barriers to implementing reverse logistics in the broad spectrum of processing activities in the conditions of an emerging economy. An effort was made to approach these barriers (i.e., organizational and management barriers, technical and technological barriers, and economic, financial, and market barriers) based on the relevant literature, predominant attitudes, and experts’ opinions, thus contributing to the body of knowledge in this domain. Determining the intensity of interdependent influences and the importance of barriers for implementing reverse logistics was performed to determine the most important (key) barriers that can be practically applied as guidelines for decision making. The Fuzzy DEMATEL method was used to determine the intensity of these influences on a sample of manufacturing companies in the Republic of Serbia. The results indicate that the most critical barriers to the successful implementation of reverse logistics are a lack of management support and cooperation with scientific institutions and professional associations to acquire knowledge and follow trends in the field.

An integrated framework for evaluating the barriers to successful implementation of reverse logistics in the automotive industry

Reverse logistics (RL) strategy can have a positive impact on productivity, and the diminishing resources, along with the strict environmental regulations, have strengthened the need for this strategy. The purpose of this study is to develop an integrated framework for identifying: (1) the critical barriers to the successful implementation of RL in the automotive industry; (2) the importance and implementation priorities of these barriers; and (3) the causal relations among them. The proposed framework is composed of the Delphi method to identify the most relevant barriers, the best-worst method (BWM) to determine their importance, and the weighted influence non-linear gauge system (WINGS) to analyze their causal relationships. The proposed framework is applied to a case study in the automotive industry. The results indicate the economic barriers are the most important, and the knowledge barriers are the least important barriers to the successful implementation of RL in the automotive industry.

A robust hybrid decision model to evaluate critical factors of reverse logistics implementation using Grey-DEMATEL framework

The rising electronics waste (e-waste), increased pollution, disposal issues and exploitation of natural resources have augmented ecological and resource scarcity problems. These problems can be abate by adopting reverse logistics (RL) implementation so, the environmental protection and resource recovery options such as reuse, refurbish, recycle, remanufacturing and proper disposal can be executed to deal and manage with the e-waste. The goal of this research work is to identifies, evaluate and analyze the factors for successful implementation of RL practices. Fifteen critical RL factors are recognized from pertinent literature and endorsed by industry professionals. This paper utilized Grey based Decision Making Trial and Evaluation Laboratory (DEMATEL) approach to sort the identified factors into cause and effect clusters. Grey DEMATEL resolves the problem of data uncertainty and impreciseness involves in decision making in analyzing the factors. The results of the study found that 11 RL factors came into causal cluster as vital factors and 4 RL factors into the effect cluster as fundamental problems factors. Among causal cluster, the highest ranked four influential factors are Top management commitment (RLF1) with weightage value 0.7604, RLF2 i.e. enforced government regulations with weightage value 0.6549, RLF6 i.e. environmental/green concerns factor with weightage value 0.5678 and RLF8 i.e. Waste minimization (especially e-waste) factor with weightage value 0.5113 are respectively. Similarly, among effect cluster, the most easily influenced two factors are “Market and competition factors” (RLF15) with weightage value (− 1.1207) and “Increased e-commerce” (RLF13) with weightage value (− 1.2855) respectively. A case example of an Indian electronics firm is taken to showcase the application of the proposed model. This paper can help supply chain managers and analysts in superior understanding of critical factors and increase the chances of practicing more effective and successful RL implementation in electronics industry. At the end, few key country and industry-specific recommendations are offered to support major decision for management and policy makers to embrace and successfully accomplish the reverse supply chain practices in India.

Examination of Factors Influencing the Successful Implementation of Reverse Logistics in the Construction Industry: Pilot Study

Most of construction and demolition (C&D) waste, such as concrete, metal, plastic, and paper, can be reused, remanufactured, and recycled. This paper aims at examining key factors influencing the successful implementation of reverse logistics in the construction industry. A total of 17 associated factors are listed from construction-related literature. A pilot study was conducted with six construction companies located in Germany and Thailand. The results reveal three key factors, including the “compliance to law and regulation”, the “open-minded to the use of recycled materials”, and the “management experience in reverse logistics implementation”, with the highest scores of 4.8 out of five. The “infrastructure to support the reverse logistics implementation” and the “inclusion of reverse logistics in design stage” are, however, found to have the least influence in reverse logistics implementation. Further study will be conducted with the exploratory factor analysis to group the 17 factors into key factors affecting successful reverse logistics implementation.

Towards improved understanding of reverse logistics – Examining mediating role of return intention

Considering enormous adverse impact of improper disposal of e-waste on green house emissions and global climate change, it is imperative to develop improved understanding about reverse logistics. However, as majority of consumers prefer to store their e-waste at home rather than returning it to producer thereby limiting the successful implementation of reverse logistics, it is important to understand the psychological determinants of consumers’ intention to return e-waste so that effective strategies could be designed accordingly. This research work aims to strengthen e-waste acquisition from the consumers by determining the psychological determinants of intention to return e-waste. This research work aims to strengthen e-waste acquisition from the consumers by determining the psychological determinants of intention to return e-waste. For this, a survey instrument was administered on 750 mobile phone users in India and structural equation modeling was used to analyze the responses.Research findings show that return intention acts as a mediating variable in prediction of return behavior. Further, perceived behavioral control, subjective norms, moral norms, willingness to sacrifice were identified as antecedents to return intention. Given the possibility of increased proportion of e-waste returns through strengthening of behavioral intentions, the study findings and suggestive inputs may help the firms in fulfilling their “Extended Producer Responsibility”.

An Integrated Decision Model for Selection of Third Party Recovery Facilitator (3PRF) for Product Recovery Operations

Due to intricacies, considerable risks are involved in product recovery operations, therefore core competency and experience are prerequisite for successful implementation of Reverse Logistics (RL).To overcome this, organizations are outsourcing the recovery operations and are opting for Third Party Recovery Facilitators (3PRF) to obtain prominent results. This paper contributes by proposing a decision model to address risks associated with product recovery and suggesting criteria for suitable 3PRF selection. The study also introduces a novel approach, combining Interpretive Structural Modeling (ISM) and ELECTRE III methodologies to tackle this problem of 3PRF selection to improve decisions. ELECTRE III is a more reliable and pragmatic method, as it considers imprecision present in expert opinions and ensures that an extremely low score on a criterion cannot be compensated by good scores on other criteria. Subsequently, ISM methodology is used for identifying relationships among various criteria to determine the most significant ones. ELECTRE III method is then applied to select the most appropriate 3PRF based on the most significant criteria. The application of this novel approach can reduce risk involved and time during the process of recovery facilitator selection. Additionally, case study has been conducted to show the practical implementation of ELECTRE III methodology in selection process.DOI: 10.12660/joscmv7n2p37-58URL: http://dx.doi.org/10.12660/joscmv7n2p27-58

Factors for implementing end-of-life product reverse logistics in the Chinese manufacturing sector

Dedicated, skilled and relatively cheap manpower coupled with efficient manufacturing techniques has elevated China’s status as the world’s factory. China is now capable of producing virtually any product, from cheap toys to some of the most sophisticated goods and equipment. The resultant economic benefits and associated enormous consumption due to rise in per capita income are accompanied by an equally unprecedented negative environmental impact arising from the huge increase of end-of-life (EoL) products. This study aims to understand and prioritise EoL product reverse logistics (RL) factors from Chinese manufacturing sector perspective. Multiple case studies in five different industries within the manufacturing sector have been carried out and analytic hierarchy process (AHP) has been employed to prioritise the governing factors for the successful RL implementation in the Chinese manufacturing sector. Results indicate that Chinese firms are unlikely to embark on RL operations without external factors such as strict government legislation.

Developing a Theory of Reverse Logistics

Reverse logistics, a fairly new concept in logistics, has gained increasing importance as a profitable and sustainable business strategy. I describe a holistic view of reverse logistics and distill 11 insights for successful implementation of reverse logistics from the existing literature and published case studies. The strategic factors consist of strategic costs, overall quality, customer service, environmental concerns, and legislative concerns. The operational factors consist of cost-benefit analysis, transportation, warehousing, supply management, remanufacturing and recycling, and packaging. Insights about these factors together form the state-of-the-art knowledge about the keys to successful design and use of reverse-logistics systems.