The Center for Education and Research in Information Assurance and Security (CERIAS)

The Center for Education and Research in
Information Assurance and Security (CERIAS)

An Approach to Identifying Beneficial Collaboration Securely in Decentralized Logistics Systems

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Author

Chris Clifton

Tech report number

CERIAS TR 2008-1

Entry type

article

Abstract

The problem of sharing manufacturing, inventory or capacity to improve performance is applicable in many decentralized operational contexts. However, solution of such problems commonly requires an intermediary or a broker to manage information security concerns of individual participants. Our goal is to examine use of cryptographic techniques to attain the same result without the use of a broker. To illustrate this approach, we focus on a problem faced by independent trucking companies that have separate pickup and delivery tasks and wish to identify potential efficiency enhancing task swaps while limiting the information the companies must reveal to identify these swaps. We present an algorithm that finds opportunities to swap loads without revealing any information except the loads swapped, along with proofs of the security of the protocol. We also show that it is incentive compatible for each company to both follow the protocol correctly as well as provide their true data. We apply this algorithm to an empirical dataset from a large transportation company and present results that suggest significant opportunities to improve efficiency through Pareto improving swaps. This paper uses cryptographic arguments in an operations management problem context to show how an algorithm can be proven incentive compatible as well as demonstrate the potential value of its use on an empirical dataset

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Journal

Manufacturing & Service Operations Management

Key alpha

Clifton

Publisher

INFORMS

Publication Date

2001-01-01

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