Reducing temporal delays in a real time train management system
Proceedings of the 2008 conference on Tenth Scandinavian Conference on Artificial Intelligence: SCAI 2008
Interfaces
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
Solving a stochastic single machine problem with initial idle time and quadratic objective
Computers and Operations Research
Interfaces
A multi-criteria optimization framework for industrial shop scheduling using fuzzy set theory
Integrated Computer-Aided Engineering
Just-in-time planning and scheduling of machining operations on parts: an illustrative case study
ECC'10 Proceedings of the 4th conference on European computing conference
Three heuristic procedures for the stochastic, two-machine flow shop problem
Journal of Scheduling
Bicriteria scheduling problem on the two-machine flowshop using simulated annealing
EvoCOP'10 Proceedings of the 10th European conference on Evolutionary Computation in Combinatorial Optimization
A single machine carryover sequence-dependent group scheduling in PCB manufacturing
Computers and Operations Research
Computers and Operations Research
Self-Optimization module for Scheduling using Case-based Reasoning
Applied Soft Computing
Scheduling with an outsourcing option on both manufacturer and subcontractors
Computers and Operations Research
An optimal method for the preemptive job shop scheduling problem
Computers and Operations Research
SEMCCO'12 Proceedings of the Third international conference on Swarm, Evolutionary, and Memetic Computing
On the identical parallel-machine rescheduling with job rework disruption
Computers and Industrial Engineering
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An up-to-date and comprehensive treatment of the fundamentals of scheduling theory, including recent advances and state-of-the-art topics Principles of Sequencing and Scheduling strikes a unique balance between theory and practice, providing an accessible introduction to the concepts, methods, and results of scheduling theory and its core topics. With real-world examples and up-to-date modeling techniques, the book equips readers with the basic knowledge needed for understanding scheduling theory and delving into its applications. The authors begin with an introduction and overview of sequencing and scheduling, including single-machine sequencing, optimization and heuristic solution methods, and models with earliness and tardiness penalties. The most current material on stochastic scheduling, including correct scheduling of safety time and the use of simulation for optimization, is then presented and integrated with deterministic models. Additional topical coverage includes: Extensions of the basic model Parallel-machine models Flow shop scheduling Scheduling groups of jobs The job shop problem Simulation models for the dynamic job shop Network methods for project scheduling Resource-constrained project scheduling Stochastic and safe scheduling Extensive end-of-chapter exercises are provided, some of which are spreadsheet-oriented, and link scheduling theory to the most popular analytic platform among today's students and practitionersthe Microsoft Office Excel spreadsheet. Extensive references direct readers to additional literature, and the book's related Web site houses material that reinforces the book's concepts, including research notes, data sets, and examples from the text. Principles of Sequencing and Scheduling is an excellent book for courses on sequencing and scheduling at the upper-undergraduate and graduate levels. It is also a valuable reference for researchers and practitioners in the fields of statistics, computer science, operations research, and engineering. Kenneth R. Baker, PhD, is Nathaniel Leverone Professor of Management at Dartmouth College. A Fellow of the Institute for Operations Research and the Management Sciences (INFORMS), Dr. Baker has published extensively in his areas of research interest, which include mathematical modeling, spreadsheet engineering, and scheduling. He is the coauthor of Management Science: The Art of Modeling with Spreadsheets, Second Edition, also published by Wiley. Dan Trietsch, PhD, is Professor of Industrial Engineering at the American University of Armenia. He has authored over thirty journal articles on topics such as network design, statistical quality control, and various aspects of scheduling.