Abstract

Traditionally, firms have been spending significant time and money in improving their forward supply chains while ignoring their potential reverse supply chains. However, in today’s competitive business environment, it is important that firms study the profitability and benefits of implementing a reverse supply chain while considering the uncertainties associated with the supply and composition of used products, disassembly time, recycling/remanufacturing time, and demand for recycled/remanufactured goods. In this paper, we demonstrate how a simulation software package, Crystal Ball®, can be used to help a firm predict whether investment in a reverse supply chain is profitable with respect to a given product, while considering the aforementioned uncertainties. Crystal Ball® is a spreadsheet-based software package designed for predictive modeling, forecasting, Monte Carlo simulation and optimization.

Notes

Originally published in the Proceedings of the 2009 Northeast Decision Sciences Institute Conference, Uncasville, CT, April 1-3, 2009 (CD-ROM)

Keywords

Reverse Supply Chains, Crystal Ball®

Disciplines

Industrial Engineering | Mechanical Engineering

Publisher

Northeast Decision Sciences Institute

Publication Date

2009

Rights Information

Originally published in the Proceedings of the 2009 Northeast Decision Sciences Institute Conference, Uncasville, CT, April 1-3, 2009 (CD-ROM)

Rights Holder

Surendra M. Gupta

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