scholarly journals A DEA model with dual-role factors and fuzzy data for selecting third-party reverse logistics provider, case study: Hospital waste collection

2021 ◽  
Author(s):  
Alireza Eydi ◽  
Saeed Rastgar
Keyword(s):  
Reverse Logistics ◽  
Dual Role ◽  
Third Party ◽  
Fuzzy Data ◽  
Waste Collection ◽  
Hospital Waste ◽  
Dea Model ◽  
Study Hospital

scholarly journals Value generation of remanufactured products: multi-case study of third-party companies

2019 ◽  
Vol 11 (3) ◽  
pp. 584 ◽  
Author(s):  
Fernando Tobal Berssaneti ◽  
Simone Berger ◽  
Ana Maria Saut ◽  
Rosangela Maria Vanalle ◽  
José Carlos Curvelo Santana
Keyword(s):  
Reverse Logistics ◽  
Processing Time ◽  
Lessons Learned ◽  
External Factors ◽  
Third Party ◽  
Secondary Process ◽  
Internal Factors ◽  
Electronic Products ◽  
Major Factors

The importance of reverse logistics has increased owing to environmental factors and recent legislations. In this context, the market for remanufactured goods has become attractive. Manufacturers, retailers, and third-party companies have improved return programs and operations that add value to the return chain for electronic appliances, rather than treating it as a secondary process. The objective of this study is to identify the variables related to value generation in the reverse logistics of electronic products from the perspective of third-party companies. Reverse logistics of electronic products depends much on the context and local regulations; in addition, the fact that there are few studies on developing countries points to an important gap in extant research. This study presents the influence of quality and warranties, processing time, and partnerships between third-party companies, manufacturers, and retailers on the value generation from remanufactured products. These variables are related to optimal results and optimistic expectations for growth among third-party companies. These internal factors, together with an analysis of external factors and product portfolios, complement the scenario description for the cases studied. The main contribution of this study is to highlight the major factors, which are presented in the framework. The lessons learned can be used in other contexts involving third-party companies.

A DECISION MODEL FOR SELECTING THIRD-PARTY REVERSE LOGISTICS PROVIDERS IN THE PRESENCE OF BOTH DUAL-ROLE FACTORS AND IMPRECISE DATA

2011 ◽  
Vol 28 (02) ◽  
pp. 239-254 ◽  
Author(s):  
REZA FARZIPOOR SAEN
Keyword(s):  
Data Envelopment Analysis ◽  
Reverse Logistics ◽  
Decision Model ◽  
Dual Role ◽  
Third Party ◽  
Data Envelopment ◽  
Imprecise Data ◽  
Numerical Example ◽  
Proposed Model

This paper introduces a model for dealing with selecting third-party reverse logistics (3PL) providers in the presence of both dual-role factors and imprecise data. The proposed model is based on data envelopment analysis (DEA). A numerical example demonstrates the application of the proposed method.

E- Waste collection in the reverse logistics systems and case study in Rio de Janeiro, RJ, Brazil

2021 ◽  
Author(s):  
Luca Apolonio Dos Santos ◽  
Lucia Helena Xavier ◽  
Marianna Ottoni ◽  
Raissa Andre Araujo ◽  
Ellen Cristine Giese
Keyword(s):  
Reverse Logistics ◽  
Rio De Janeiro ◽  
Waste Collection ◽  
Logistics Systems

Research on Optimizing Reverse Logistics Network of Waste Copper Recycling

2013 ◽  
Vol 798-799 ◽  
pp. 967-970
Author(s):  
Qi Hao ◽  
Xin Sheng Xu ◽  
Qing Liu ◽  
Xi Ze Liu
Keyword(s):  
Reverse Logistics ◽  
Network Models ◽  
Mathematic Model ◽  
Third Party ◽  
Third Party Logistics ◽  
Logistics Network ◽  
Logistics Networks ◽  
Reverse Logistics Network ◽  
Scrap Recycling

Based on third-party logistics, we propose a linear programming mathematic model for reverse logistics networks of waste copper recycling. And, a reverse logistics network models is established to deal with returned products, which will decrease costs and allow optimal decisions on distributing methods so as to increase efficiency and profit levels. A case study is also developed to illustrating the value of this model and network. Whats more, according to the model, we put forward to sincere suggestions and better measures of copper scrap recycling.

scholarly journals A Hesitant Fuzzy Combined Compromise Solution Framework-Based on Discrimination Measure for Ranking Sustainable Third-Party Reverse Logistic Providers

2021 ◽  
Vol 13 (4) ◽  
pp. 2064
Author(s):  
Arunodaya Raj Mishra ◽  
Pratibha Rani ◽  
Raghunathan Krishankumar ◽  
Edmundas Kazimieras Zavadskas ◽  
Fausto Cavallaro ◽  
...  
Keyword(s):  
Reverse Logistics ◽  
Hybrid Approach ◽  
Third Party ◽  
Illustrative Case ◽  
Primary Concern ◽  
Compromise Solution ◽  
Fuzzy Environment ◽  
Criteria Weights ◽  
Reverse Logistic ◽  
Illustrative Case Study

Customers’ pressure, social responsibility, and government regulations have motivated the enterprises to consider the reverse logistics (RL) in their operations. Recently, companies frequently outsource their RL practices to third-party reverse logistics providers (3PRLPs) to concentrate on their primary concern and diminish costs. However, to select the suitable 3PRLP candidate requires a multi-criteria decision making (MCDM) process involving uncertainty owing to the presence of many associated aspects. In order to choose the most appropriate sustainable 3PRLP (S3PRLP), we introduce a hybrid approach based on the classical Combined Compromise Solution (CoCoSo) method and propose a discrimination measure within the context of hesitant fuzzy sets (HFSs). This approach offers a new process based on the discrimination measure for evaluating the criteria weights. The efficiency and practicability of the present approach are numerically demonstrated by solving an illustrative case study of S3PRLPs selection under a hesitant fuzzy environment. Moreover, sensitivity and comparative studies are presented to highlight the robustness and strength of the introduced methodology. The result of this work concludes that the introduced methodology can recommend a more feasible performance when facing with determinate and inconsistent knowledge and qualitative data.

Sign in / Sign up

Export Citation Format

Share Document