Risk-Aware Secure Supply Chain Master Planning
نویسندگان
چکیده
Supply chain master planning strives for optimally aligned production, warehousing and transportation decisions across a multiple number of partners. Its execution in practice is limited by business partners’ reluctance to share their vital business data. Secure Multi-Party Computation can be used to make such collaborative computations privacy-preserving by applying cryptographic techniques. Thus, computation becomes acceptable in practice but for additional cost of complexity depending on the protection level chosen. Because not all data to be shared induces the same risk and demand for protection, we assess the risk of data elements individually and then apply an appropriate protection. This speeds up the secure computation and enables significant improvements in the supply chain.
منابع مشابه
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Supply chain master planning strives for optimally aligned production, warehousing and transportation decisions across a multiple number of partners. Its execution in practice is limited by business partners’ reluctance to share their vital business data. Secure Multi-Party Computation (SMC) can be used to make such collaborative computations privacy-preserving by applying cryptographic techniq...
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تاریخ انتشار 2009