Integrated supply chain planning is well understood by theory
and widely applied in practice - however, only with respect to
intra-organisational supply chains. In inter-organisational supply
chains, an additional, yet unresolved problem arises: due to
confidentiality reasons, decentralized parties keep their local
data private, which prevents an integrated planning. Local planning
procedures such as upstream planning, which are usually applied
then, result in suboptimal solutions for the supply chain as a
whole. In this work, new mechanisms for inter-organizational,
collaborative supply chain planning are presented. These mechanisms
are able to identify the systemwide optimum for several classes of
supply chain planning problems. They can be applied by two or more
self-interested parties and do not require a trusted third party.
Extensive computational tests for randomly generated and real-word
data suggest a favorable performance of these mechanisms.
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