Summary: OPERATIONS RESEARCH
Vol. 00, No. 0, Xxxxx 0000, pp. 000­000
issn 0030-364X|eissn 1526-5463|00|0000|0001
INFORMS
doi 10.1287/xxxx.0000.0000
c 0000 INFORMS
Mechanism Design for Decentralized Online Machine
Scheduling
Birgit Heydenreich
Department of Quantitative Economics, Maastricht University, P.O. Box 616, 6200 MD Maastricht, The Netherlands.
birgit.heydenreich@gmail.com
Rudolf M¨uller
Department of Quantitative Economics, Maastricht University, P.O. Box 616, 6200 MD Maastricht, The Netherlands.
r.muller@maastrichtuniversity.nl
Marc Uetz
Department of Applied Mathematics, University of Twente, P.O. Box 217, 7500 AE Enschede, The Netherlands.
m.uetz@utwente.nl
Traditional optimization models assume a central decision maker who optimizes a global system performance
measure. However, problem data is often distributed among several agents, and agents take autonomous
decisions. This gives incentives for strategic behavior of agents, possibly leading to sub-optimal system

Source: Al Hanbali, Ahmad - Department of Applied Mathematics, Universiteit Twente

Collections: Engineering