Supply chain management (SCM) is now recognised as one of the best means by
which enterprises can make instant improvements to their business strategi
es and operations. SCM, however, is generally based on the simple theory of
constraints (TOC) concept. and is not always concerned with Pareto optimal
solutions in product distribution. Since market price systems constitute a
well-understood class of mechanisms that under certain conditions provide
effective decentralisation of decision making with minimal communication ov
erhead, we propose SCM based on market-oriented programming in this paper.
In market-oriented programming, we take a metaphor of economy computing mul
ti-agent behaviour literally, and directly implement the distributed comput
ation as a market price system. We define the agent activities to negotiate
the tradeoffs of acquiring different resources, so as to realise the multi
-echelon optimisation. Several simulation experiments on the supply chain m
odel with multi-echelon structure clarify the market dynamics that emerge t
hrough the agent negotiations. It is confirmed that careful constructions o
f the decision process according to economic principles can lead to Pareto
optimal resource allocations in SCM. and the behaviour of the system can be
analysed in economic terms. (C) 2001 Elsevier Science B.V. All rights rese
rved.