Proportional Optimization and Fairness is a long-needed attempt
to reconcile optimization with apportionment in just-in-time (JIT)
sequences and find the common ground in solving problems ranging
from sequencing mixed-model just-in-time assembly lines through
just-in-time batch production, balancing workloads in event graphs
to bandwidth allocation internet gateways and resource allocation
in computer operating systems. The book argues that apportionment
theory and optimization based on deviation functions provide
natural benchmarks for a process, and then looks at the recent
research and developments in the field.
Individual chapters look at the theory of apportionment and
just-in-time sequences; minimization of just-in-time sequence
deviation; optimality of cyclic sequences and the oneness;
bottleneck minimization; competition-free instances, Fraenkel's
Conjecture, and optimal admission sequences; response time
variability; applications to the Liu-Layland Problem and pinwheel
scheduling; temporal capacity constraints and supply chain
balancing; fair queuing and stride scheduling; and smoothing and
batching.
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