Extent:
Online-Ressource (X, 340p. 115 illus, digital)
Series:
Type of publication: Book / Working Paper
Language: English
Notes:
Description based upon print version of record
On/Off Event-based formulation
Complex Scheduling; Preface of the Second Edition; Preface; Contents; Chapter 1 Scheduling Models; 1.1 The RCPSP and some Generalizations; Generalized precedence constraints; Time-dependent resource profiles; Multiple modes; Non-renewable resources; Doubly-constrained resources; Partially renewable resources; Storage resources; Setup or transfer times; Other objective functions; 1.2 Machine Scheduling; 1.2.1 Single-machine scheduling; 1.2.2 Parallel machine scheduling; 1.2.3 Shop scheduling; Job-shop problems; Flow-shop problems; Open-shop problems; 1.2.4 Multi-processor task scheduling
1.3 Applications of the RCPSPApplication 1.2 : Aircraft maintenance; Application 1.3 : Scheduling of ground handling operations; Application 1.4 : Gate scheduling; Application 1.5 : Batch scheduling in process industries; Application 1.6 : High-school timetabling; Application 1.7 : An audit-staff scheduling problem; Application 1.8 : Sports league scheduling; 1.4 Reference Notes; Chapter 2 Algorithms and Complexity; 2.1 Easy and Hard Problems; 2.1.1 Polynomially solvable problems; 2.1.2 NP-hard problems; 2.2 Shortest Path Algorithms; 2.2.1 Dijkstra's algorithm
2.2.2 Label-correcting algorithms2.2.3 Detection of negative cycles; 2.2.4 Floyd-Warshall algorithm; 2.3 Linear Programming; 2.3.1 Linear programs and the simplex algorithm; 2.3.2 Duality; 2.3.3 The revised simplex method; 2.3.4 Delayed column generation techniques; 2.4 Lagrangian Relaxation; 2.5 Network Flow Algorithms; 2.5.1 The minimum cost flow problem; 2.5.2 The residual network and decomposition of flows; 2.5.3 The maximum flow problem; Application 2.1 : Feasible flow problem; Application 2.2 : Scheduling on identical parallel machines; 2.5.4 Flows and cuts
Application 2.3 : Distributed computing on a two-processor computer2.5.5 Algorithms for the maximum flow problem; 2.5.6 Algorithms for the minimum cost flow problem; 2.6 Branch-and-Bound Algorithms; 2.6.1 Basic concepts; 2.6.2 The knapsack problem; 2.6.3 Integer linear programs; 2.7 Constraint Programming; 2.8 The Satisfiability Problem (SAT); 2.9 Dynamic Programming; 2.10 Heuristic Methods; 2.10.1 Local search algorithms; 2.10.2 Genetic algorithms; 2.10.3 Ant colony optimization; 2.11 Reference Notes; Chapter 3 Resource-Constrained Project Scheduling; 3.1 Basics; 3.1.1 Temporal analysis
3.1.2 A classification of schedules3.1.3 Reference notes; 3.2 Heuristic Methods; 3.2.1 Schedule generation schemes; 3.2.2 Priority-based heuristics; 3.2.3 Local search algorithms; Swap-neighborhood; Shift-neighborhood; 3.2.4 Genetic algorithms; One-point crossover; Two-point crossover; Uniform crossover; 3.2.5 Ant colony optimization; 3.2.6 Heuristics for the multi-mode case; 3.2.7 Reference notes; 3.3 MIP Formulations of the RCPSP; 3.3.1 Discrete time formulations; 3.3.2 Continuous time formulations; 3.3.3 Event-based formulations; Start/End Event-based formulation
ISBN: 978-3-642-23929-8 ; 978-3-642-23928-1
Other identifiers:
10.1007/978-3-642-23929-8 [DOI]
Classification: Angewandte Mathematik ; Methoden und Techniken der Betriebswirtschaft ; Fertigung
Source:
ECONIS - Online Catalogue of the ZBW
Persistent link: https://www.econbiz.de/10014015540