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Asset management with reverse product flows and environmental considerations [An article from: Computers and Operations Research]
Book Details
Author(s)M. Sharma, J.C. Ammons, J.C. Hartman
PublisherElsevier
ISBN / ASINB000P6OOWY
ISBN-13978B000P6OOW6
AvailabilityAvailable for download now
Sales Rank99,999,999
MarketplaceUnited States 🇺🇸
Description
This digital document is a journal article from Computers and Operations Research, published by Elsevier in 2007. The article is delivered in HTML format and is available in your Amazon.com Media Library immediately after purchase. You can view it with any web browser.
Description:
Today many business enterprises employ capital assets in the form of electronic equipment, such as personal computers, workstations and peripherals, in large quantities. Due to rapid technological progress (leading to a short life cycle for these products), and hazardous material content in electronic products (which is an environmental problem and a disposal challenge), leasing or procurement contracts with take-back considerations can be attractive. For a large electronic equipment leasing company, optimal management of assets supported by good logistics and end-of-life processing decisions is crucial, and may provide a significant competitive advantage. There is currently no analytic approach for making these decisions in an integrated fashion. In this research, a mixed integer linear programming (MILP) model is developed to facilitate better leasing and logistics decisions (including end-of-life disposal options) from the perspective of an electronic equipment leasing company. A case study with representative industry data is used to validate the approach and potential applications of the model are illustrated for alternative scenarios. This research contributes new models and understanding to the intersection of the fields of reverse logistics and equipment replacement.
Description:
Today many business enterprises employ capital assets in the form of electronic equipment, such as personal computers, workstations and peripherals, in large quantities. Due to rapid technological progress (leading to a short life cycle for these products), and hazardous material content in electronic products (which is an environmental problem and a disposal challenge), leasing or procurement contracts with take-back considerations can be attractive. For a large electronic equipment leasing company, optimal management of assets supported by good logistics and end-of-life processing decisions is crucial, and may provide a significant competitive advantage. There is currently no analytic approach for making these decisions in an integrated fashion. In this research, a mixed integer linear programming (MILP) model is developed to facilitate better leasing and logistics decisions (including end-of-life disposal options) from the perspective of an electronic equipment leasing company. A case study with representative industry data is used to validate the approach and potential applications of the model are illustrated for alternative scenarios. This research contributes new models and understanding to the intersection of the fields of reverse logistics and equipment replacement.
