Secure collaborative supply chain planning and inverse optimization -- the JELS model

DOI10.1016/J.EJOR.2010.08.018zbMath1206.90015OpenAlexW2061802713MaRDI QIDQ621669

Richard Pibernik, Axel Schröpfer, Florian Kerschbaum, Ying-ying Zhang

Publication date: 28 January 2011

Published in: European Journal of Operational Research (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.ejor.2010.08.018

zbMATH Keywords

supply chain managementinformation sharingcollaborationsecure multi-party computation

Mathematics Subject Classification ID

Transportation, logistics and supply chain management (90B06) Cryptography (94A60)

Related Items (3)

Optimal contract design in the joint economic lot size problem with multi-dimensional asymmetric information ⋮ Supply chain coordination under asymmetric information and partial vertical integration ⋮ Inverse optimization of integer programming games for parameter estimation arising from competitive retail location selection

Cites Work

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• A bargaining model with asymmetric information for a single supplier-single buyer problem
• Nash game model for optimizing market strategies, configuration of platform products in a vendor managed inventory (VMI) supply chain for a product family
• A Stackelberg game and its improvement in a VMI system with a manufacturing vendor
• A proof of security of Yao's protocol for two-party computation
• A framework for collaborative planning and state-of-the-art
• Supply Chain Coordination with Revenue-Sharing Contracts: Strengths and Limitations
• Log Depth Circuits for Division and Related Problems
• Value of information exchange and synchronization in a multi-tier supply chain
• An Efficient Protocol for Secure Two-Party Computation in the Presence of Malicious Adversaries

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