Reverse logistics research papers

This is the first time a sentiment analysis is used in the study of a food brand regarding Reverse Logistics. Although the paper offers many suggestions for future research, the paper proposes that investigating ways to increase formalization of RL programs and establish RL as a profit center within organizations may be the areas in greatest need for additional scholarly research.

Detailed solutions to address these problems will be put forward in the further research.

reverse logistics in supply chain management ppt

The purpose of this study is to observe and analyse the association of customers with an Indian food brand by performing sentiment analysis on the twitter feeds.

Moreover, advice will be provided to design, purchase, manufacturing and customer service departments for their reference so as to promote respective business. Findings: The study provides empirical insights about how the food brand is related to customers of India.

The objectives of this paper are to: report and review various perspectives on design and development of reverse SC, planning and control issues, coordination issues, product remanufacturing and recovery strategies, understand and appreciate various mechanisms available for efficient management of reverse supply chains and identify the gaps existing in the literature.

Reverse logistics pdf

All rights reserved. This thesis is only limited to the analysis of constraints impeding the development of the reverse logistics MIS, including management constraints, economic constraints, hardware technology, data security and rights management constraints. Ample opportunities exist for the growth of this field due to its multi-functional and interdisciplinary focus. This is the first time a sentiment analysis is used in the study of a food brand regarding Reverse Logistics. When a brand is being introduced it is necessary that it must follow all regulatory norms especially when it is a food product. Practical implications: The study includes implications for the development of a strong sentiment analysis model to analyse sentiments related to a product and a generic reverse logistics model which could be used by any fast food industry for their product. Recent, although limited, research has begun to identify that these sustainable supply chain practices, which include the reverse logistics factors, lead to more integrated supply chains, which ultimately can lead to improved economic performance. It suggests that when a famous brand faces a ban, customers go crazy for it opposing the government, food authority, etc. Besides, the system will be engaged in data mining in backflow prediction data and re-processing data at regular and irregular intervals. It proposes a generic model framework for performing reverse logistics for any fast food product which can be applied by any food industry in future. The two factors not specifically represented are costs and formalization. Research Results: Through applying the Internet of Things in the reverse logistics system, we can build a complete close-loop logistics system by linking both extreme ends of positive and negative logistics. Yuexia Gu Full Text Available Objective: Combined the current situation with the development trend of reverse logistics, the article focus on the research of Internet of Things application in the reverse logistics information management, starts with the study of reverse logistics information system, and describes the system structure and system process in applying Internet of Things in reverse logistics information management, finally brings forward the constraints like management and economic ones in applying the technology to the system. Data is confined only to Twitter and news blogs. Perusal of the literature shows that a broad frame of reference for reverse logistics is not adequately developed.

By making such a comparison, the paper identifies areas of practical relevance that are being adequately addressed in the literature, as well as areas that may need further attention. The third-party Yuexia Gu Full Text Available Objective: Combined the current situation with the development trend of reverse logistics, the article focus on the research of Internet of Things application in the reverse logistics information management, starts with the study of reverse logistics information system, and describes the system structure and system process in applying Internet of Things in reverse logistics information management, finally brings forward the constraints like management and economic ones in applying the technology to the system.

Reverse logistics thesis

Ample opportunities exist for the growth of this field due to its multi-functional and interdisciplinary focus. Although the paper offers many suggestions for future research, the paper proposes that investigating ways to increase formalization of RL programs and establish RL as a profit center within organizations may be the areas in greatest need for additional scholarly research. Recent, although limited, research has begun to identify that these sustainable supply chain practices, which include the reverse logistics factors, lead to more integrated supply chains, which ultimately can lead to improved economic performance. Sentiment analysis will be performed on the collected Twitter feeds. It suggests that when a famous brand faces a ban, customers go crazy for it opposing the government, food authority, etc. The study aims to expand the domain of sentiment analysis by including the aspect of reverse logistics and government involvement related aspects than is normally found in the Netnography literature. Practical implications The findings provide practitioners with an understanding of what factors are most important to consider when managing RL programs. No part of this publication may be reproduced, stored in a retrieval system or transmitted in any form or by any means electronic, mechanical, photocopy, recording or otherwise, without the prior written permission of the journal. The purpose of this study is to observe and analyse the association of customers with an Indian food brand by performing sentiment analysis on the twitter feeds. Therefore, researchers are encouraged to test the proposed propositions with other sources of data. Findings In the Delphi study, the paper uncovered and ranked seven key issues for RL managers. Practical implications: The study includes implications for the development of a strong sentiment analysis model to analyse sentiments related to a product and a generic reverse logistics model which could be used by any fast food industry for their product. The model developed was complemented by news articles collected from blogs and the reverse logistics process of different industries. Besides, the system will be engaged in data mining in backflow prediction data and re-processing data at regular and irregular intervals. Detailed solutions to address these problems will be put forward in the further research.
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Reverse Logistics Research Papers