Reverse Logistics: Exploring the Real Reasons for Product Returns from the Perspectives of Consumers

2012 ◽  
Author(s):  
Sijia Yan
Keyword(s):  
Reverse Logistics ◽  
Product Returns ◽  
The Real

An Interpretive Structural Modeling Approach for Analysis of Interactions among the Barriers in Reverse Logistics

2011 ◽  
Vol 110-116 ◽  
pp. 2699-2707
Author(s):  
Santosh Kumar Sharma ◽  
S.S. Mahapatra ◽  
Biranchi Narayan Panda ◽  
Sadanand Sahu
Keyword(s):  
Reverse Logistics ◽  
Return On Investment ◽  
Structural Modeling ◽  
Product Returns ◽  
Crucial Issue ◽  
Interpretive Structural Modeling ◽  
Holistic View ◽  
Modeling Approach ◽  
Distribution Structure ◽  
Significant Return

Reverse logistics (RL), which refers to the distribution activities involved in product returns, has recently received much attention because many companies are using it as a strategic tool to serve their customers and can generate good revenue. An efficient reverse distribution structure may lead to a significant return on investment as well as a significantly increased competitiveness in the market. Therefore, analysis of the interaction among the major barriers, which hinder or prevent the application of reverse logistics, is a crucial issue. Existing models have focused on diagnosing these barriers independently. As a result, the holistic view in understanding the barriers is not accounted for. This paper utilizes the Interpretive Structural Modeling (ISM) methodology to understand the mutual influences among the barriers so that those driving barriers, which can aggravate few more barriers and those independent barriers, which are most influenced by driving barriers, are identified.

Managing return flow of end-of-life products for product recovery operations

2017 ◽  
Vol 7 (1) ◽  
pp. 169-177
Author(s):  
Seval Ene ◽  
Nursel Öztürk
Keyword(s):  
End Of Life ◽  
Reverse Logistics ◽  
Product Recovery ◽  
Forecasting Model ◽  
Return Flow ◽  
Data Sets ◽  
Product Returns ◽  
Data Set ◽  
Product Return ◽  
Proposed Model

Increased consciousness on environment and sustainability, leads companies to apply environmentally friendly strategies such as product recovery and product return management. These strategies are generally applied in reverse logistics concept. Implementing reverse logistics successfully becomes complicated for companies due to uncertain parameters of the system like quantity, quality and timing of returns. A forecasting methodology is required to overcome these uncertainties and manage product returns. Accurate forecasting of product return flows provides insights to managers of reverse logistics. This paper proposes a forecasting model based on grey modelling for managing end-of-life products’ return flow. Grey models are capable for handling data sets characterized by uncertainty and small sized. The proposed model is applied to data set of a specific end-of-life product. Attained results show that the proposed forecasting model can be successfully used as a forecasting tool for product returns and a supportive guidance can be provided for future planning. Keywords: End-of-life products, grey modelling, product return flow, product recovery; 

scholarly journals AN OVERVIEW ON RETAIL REVERSE LOGISTICS

2014 ◽  
Author(s):  
Ioana Olariu
Keyword(s):  
Marketing Strategy ◽  
Theoretical Approach ◽  
Reverse Logistics ◽  
Environmental Concern ◽  
Retail Industry ◽  
Return Flow ◽  
Competitive Pressure ◽  
Product Returns ◽  
Return Policies ◽  
Effective Manner

This article is a theoretical approach on retail reverse logistics. Environmental concern and the current marketing strategy have spurred retailers to implement strategies to facilitate product returns from end customers. Reverse logistics, indicating the process of this return flow, encompasses such activities as the movement of returned products, facilities to accommodate returned items, and overall remedy process for returned items. The retail industry, under great competitive pressure, has used return policies as a competitive weapon. Grocery retailers were the first to begin to focus serious attention on the problem of returns and to develop reverse logistics innovations. Grocery retailers first developed innovations such as reclamation centers. Reclamation centers, in turn, led to the establishment of centralized return centers. Centralizing returns has led to significant benefits for most firms that have implemented them. Over the last several years, retailers have consolidated. Now, more than ever, reverse logistics is seen as being important. This reverse distribution activity can be crucial to the survival of companies, because the permanent goodwill of the company is at stake. Businesses succeed because they respond to both external and internal changes and adjust in an effective manner to remain competitive.

scholarly journals Principal causes and challenges for reducing product returns: applying FMEA in a case study

2021 ◽  
Vol 28 (2) ◽  
Author(s):  
Bruna Caffaro Boccaletti ◽  
Luiz Carlos Brasil de Brito Mello ◽  
Isadora de Paula Bastos
Keyword(s):  
Literature Review ◽  
Reverse Logistics ◽  
Failure Modes ◽  
Product Returns ◽  
Quality Tool

Abstract: The current economy has demanded from organizations greater quality in their operations, which makes necessary to avoid non-compliance of processes that generate extra expenses, efforts and influence satisfaction of clients. This article aims to understand main causes of products returns from market in a cosmetics company. Based on literature review and application of a quality tool, FMEA (Failure Modes and Effects Analysis), in the case study, solutions and their effects on the organization are evaluated. After studies, new solutions and suggestions were proposed to reduce organization's post-sale reverse logistics.

scholarly journals SHORT-TERM CALCULATION OF ECONOMIC EFFICIENCY OF RETAIL REVERSE LOGISTICS SYSTEMS

2021 ◽  
Vol 4 (198) ◽  
pp. 24-31
Author(s):  
R.M. Beysenbaev ◽  
Keyword(s):  
Reverse Logistics ◽  
The United States ◽  
Retail Trade ◽  
Product Returns ◽  
Short Term ◽  
Return Policies ◽  
Logistics Systems ◽  
Online Sales ◽  
Return Flows ◽  
Information Basis

The current market environment of retail trade enterprises indicates the need for accounting and management of reverse logistics, regardless of the size of the retailer. In 2020, only in the United States, retailers' losses from product returns amounted to about 400 billion dollars. More liberal return policies and a growing online sales market lead to more returned products and an increase in the volume of losses from returns, and it seems possible to believe that these trends will continue in the coming years, which indicates the need for retailers to have a way to assess the economical effectiveness of their systematic interaction with return flows in order to make management decisions on an objective and reliable information basis.

Developing the reverse logistics network for product returns

2006 ◽  
Author(s):  
Nizar Zaarour ◽  
Emanuel Melachrinoudis ◽  
Hokey Min
Keyword(s):  
Reverse Logistics ◽  
Product Returns ◽  
Logistics Network ◽  
Reverse Logistics Network

Forecasting product returns and reverse logistics performance: structural equation modelling

2019 ◽  
Vol 31 (5) ◽  
pp. 1223-1237 ◽  
Author(s):  
Saurabh Agrawal ◽  
Rajesh Kumar Singh
Keyword(s):  
Reverse Logistics ◽  
Structural Equation ◽  
Electronics Industry ◽  
Partial Least Square ◽  
Least Square ◽  
Equation Modeling ◽  
Product Returns ◽  
Bottom Line ◽  
Content Type ◽  
Indian Electronics Industry

Purpose Forecasting 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/approach In 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. Findings Measurement 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/implications Managers 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/value The 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.

Sign in / Sign up

Export Citation Format

Share Document