An evaluation of order release strategies in a remanufacturing environment
Computers and Operations Research
Logistics simulation of recycling networks
Computers in Industry - Special issue: ASI'96: life cycle approaches to production systems: management, control and supervision
Inventory Control in Hybrid Systems with Remanufacturing
Management Science
Issues in environmentally conscious manufacturing and product recovery: a survey
Computers and Industrial Engineering - Special issue on o/perational issues in environmentally conscious manufacturing
Towards a taxonomy of resource recovery from end-of-life products
Computers in Industry - Special issue on advances in computer integrated production in honour of professor C.L. Moodie's retirement
Developing a Theory of Reverse Logistics
Interfaces
Inventory Management of Remanufacturable Products
Management Science
Matching Demand and Supply to Maximize Profits from Remanufacturing
Manufacturing & Service Operations Management
Optimal manufacturing-remanufacturing policies in a lean production environment
Computers and Industrial Engineering
Integrated framework for reverse logistics
IEA/AIE'07 Proceedings of the 20th international conference on Industrial, engineering, and other applications of applied intelligent systems
Computers and Industrial Engineering
Hi-index | 0.00 |
This research work proposes a reverse logistics decisions conceptual framework that offers flexibility and covers a wide variety of situations that may arise in the practical working environment. The methodology adopted in this paper is inspired by and taken from the various research papers published in the literature. The proposed framework considers seven important elements of the reverse logistics system. It is divided into three hierarchical levels (strategic, tactical, and operational). By carrying out experimentation with the proposed conceptual model, all three levels were tested in different industrial sectors during its development. Three real-world case studies are presented to test and to show the flexibility and applicability of the framework. The proposed conceptual framework will help practitioners in the field to structure their reverse logistics activities and also help academics in developing better decision models.