Title
Modeling Total Cost Of Ownership Utilizing Interval-Based Reliable Simulation Technique In Reverse Logistics Management
Keywords
Interval analysis; Probability bound analysis; Reverse logistics; Total cost of ownership
Abstract
Reverse logistics involving closed-loop supply chains in various industry sectors has received growing attention throughout this decade. Reverse logistics considers several channels of reverse material flows from customers to suppliers. The value of product returns now exceeds $100 billion annually in the United States. However, only a small fraction of the returned product value is recaptured by manufacturers. In this paper, the total cost of ownership problem is studied based on a general supply chain framework. An interval-based simulation model is developed to improve robustness when high uncertainties are involved.
Publication Date
12-1-2007
Publication Title
IIE Annual Conference and Expo 2007 - Industrial Engineering's Critical Role in a Flat World - Conference Proceedings
Number of Pages
523-529
Document Type
Article; Proceedings Paper
Personal Identifier
scopus
Copyright Status
Unknown
Socpus ID
44949142916 (Scopus)
Source API URL
https://api.elsevier.com/content/abstract/scopus_id/44949142916
STARS Citation
Hamza, Heba; Wang, Yan; and Bidanda, Bopaya, "Modeling Total Cost Of Ownership Utilizing Interval-Based Reliable Simulation Technique In Reverse Logistics Management" (2007). Scopus Export 2000s. 6202.
https://stars.library.ucf.edu/scopus2000/6202