Combinatorial Optimization Problems in Planning and Decision Making Theory and Applications /

• Κύριοι συγγραφείς: Zgurovsky, Michael Z. (Συγγραφέας, http://id.loc.gov/vocabulary/relators/aut), Pavlov, Alexander A. (http://id.loc.gov/vocabulary/relators/aut)
• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2019.
• Έκδοση: 1st ed. 2019.
• Σειρά: Studies in Systems, Decision and Control, 173
• Θέματα: Applied mathematics.; Engineering mathematics.; Computer-aided engineering.; Industrial engineering.; Production engineering.; Operations research.; Decision making.; Mathematical and Computational Engineering.; Computer-Aided Engineering (CAD, CAE) and Design.; Industrial and Production Engineering.; Operations Research/Decision Theory.

The book focuses on the next fields of computer science: combinatorial optimization, scheduling theory, decision theory, and computer-aided production management systems. It also offers a quick introduction into the theory of PSC-algorithms, which are a new class of efficient methods for intractable...

Πίνακας περιεχομένων:

• Part I Intractable combinatorial optimization problems. PSC-algorithms
• Optimal scheduling for two criteria for a single machine with arbitrary due dates
• Optimal tasks execution for two criteria with a common due date on parallel machines
• Optimal scheduling for the vector criterion for parallel machines with arbitrary due dates
• The total weighted tardiness of tasks minimization on a single machine
• The total earliness/tardiness minimization on a single machine with arbitrary due dates
• The total tardiness of tasks minimization on identical parallel machines with a common due date
• Minimization of the maximum earliness/tardiness of tasks on identical parallel machines with a common due date
• The total weighted completion time of tasks minimization with precedence relations on a single machine
• Part II: Hierarchical planning and decision making in network systems with limited resources
• The four-level model of planning and decision making
• Algorithmic support of the four-level model of planning and decision making
• Models and methods of decision making with non-formalized goals
• Project 1. Informational Decision Support System for the project management in software development
• Project 2. Universal hierarchical system of scheduling and operational planning for the small-scale type of productions.