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Secure collaborative supply chain planning and inverse optimization – The JELS model by Richard Pibernik; Yingying Zhang; Florian Kerschbaum; Axel Schröpfer is a Engineering article available to read on EtoBox.

What is Secure collaborative supply chain planning and inverse optimization – The JELS model about?

It is a well-acknowledged fact that collaboration between different members of a supply chain yields a significant potential to increase overall supply chain performance. Sharing private information has been identified as prerequisite for collaboration and, at the same time, as one of its major obstacles. One potential avenue for overcoming this obstacle is Secure Multi-Party Computation (SMC). SMC is a cryptographic technique that enables the computation of any (well-defined) mathematical function by a number of parties without any party having to disclose its input to another party. In this paper, we show how SMC can be successfully employed to enable joint decision-making and benefit sharing in a simple supply chain setting. We develop secure protocols for implementing the well-known ''Joint Economic Lot Size (JELS) Model" with benefit sharing in such a way that none of the parties involved has to disclose any private (cost and capacity) data. Thereupon, we show that although computation of the model's outputs can be performed securely, the approach still faces practical limitations. These limitations are caused by the potential of ''inverse optimization", i.e., a party can infe

Who reads Secure collaborative supply chain planning and inverse optimization – The JELS model?

Author

Richard Pibernik; Yingying Zhang; Florian Kerschbaum; Axel Schröpfer

Publisher

Elsevier Science; Elsevier ; Elsevier BV (ISSN 0377-2217)

Published

2011

Language

EN

Field

Engineering (Physical Sciences)