scholarly journals Reverse Logistics: End-of-Life Recovery Pledge

10.5772/9898 ◽  
2010 ◽  
Author(s):  
Rinaldo Michelini ◽  
Roberto Razzoli
Keyword(s):  
End Of Life ◽  
Reverse Logistics

Automotive Systems: End-of-Life Vehicles Dismantling Facilities

2006 ◽  
Author(s):  
Gabriella M. Acaccia ◽  
Rinaldo C. Michelini ◽  
Luca Penzo ◽  
Nicola Qualich
Keyword(s):  
Supply Chain ◽  
End Of Life ◽  
Reverse Logistics ◽  
Economic Instruments ◽  
Eu Regulation ◽  
Automotive Market ◽  
Automotive Systems ◽  
Take Back ◽  
Simulation Results ◽  
Reference Knowledge

The paper discusses characterising features of the end-of-life vehicles EU regulation, with account of the process transparency and knowledge build-up, to tailor economic instruments with reverse logistics profitability. In the short future, these issues will affect the automotive market, and the recovery (reuse/recycle) targets will become competition prerequisites for the carmakers survival. For explanatory purposes, the investigation is especially limited to consider the dismantling facility, with, in foreground, facts and technicalities arising at local and regional scales, and, in background, the whole forward and backward supply chain and related logistics problems. The basic technicalities, leading to the build-up of the reference knowledge for the most effective setting of car-dismantling facilities, are explored by means of simulation results. These lead to consider to develop automotive systems with recovery in mind, according to the carmakers responsibility for the free-take-back of the end-of-life vehicles.

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

2014 ◽  
Vol 21 (3) ◽  
pp. 235-245 ◽  
Author(s):  
Nachiappan Subramanian ◽  
Angappa Gunasekaran ◽  
Muhammad Abdulrahman ◽  
Chang Liu
Keyword(s):  
End Of Life ◽  
Reverse Logistics ◽  
Manufacturing Sector

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; 

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