Scheduling: Theory, Algorithms, and SystemsThis comprehensive book focuses on the theory and applications of scheduling. Applications are primarily drawn from production and manufacturing environments, but state principles relevant to other settings as well. Includes numerous worked out examples, Deterministic Models, Stochastic Models, Applications, and more. For anyone interested in scheduling, project management, production planning, and inventory control. |
Contents
Preliminaries | 13 |
SINGLE MACHINE MODELS DETERMINISTIC | 33 |
MORE ADVANCED SINGLE MACHINE MODELS | 62 |
Copyright | |
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Common terms and phrases
according algorithm allowed amount applied approach arbitrary arcs assigned Assume block bottleneck branch Chapter Cmax completion computed Consider constraints corresponding cost decision denote depend described determined deterministic dispatching distributed due dates dynamic policies environment equal Example Exercise exists expected expected makespan exponentially distributed Figure Find flexible flow function given graph heuristic idle implies instance interchange larger Lemma Lmax machine makespan mean minimizes models node nonpreemptive objective obtained operation optimal schedule parallel performance position precedence preemptions preemptive priority prmp probability procedure processing Production programming proof random variable referred release remaining requires Research rule scheduling problems selected sequence setup Show shown single machine solution stage starting Step stochastic tardiness Theorem unit usually waiting weighted zero