Uvod:
Terminologija in definicije
Planiranje in razvrščanje:
Hierarhičnost, zahteve in omejitve, osnovni pristopi (hevristični, deterministični, stohastični)
Področja uporabe:
Proizvodnja, logistika/transport, upravljanje virov
Modeliranje problemov:
Zahtevnost, upoštevanje omejitev, večkriterijskost, večnivojskost
Integrirano planiranje in razvrščanje:
Značilnosti, pristopi, izvedbe
Planiranje in razvrščanje v spremenljivih okoljih in v negotovih pogojih:
Vpliv na modeliranje, izvedbo, natančnost
Napredni algoritmi planiranja in razvrščanja: Tehnike, izvedbe, računska zahtevnost, časovna odzivnost, natančnost, zanesljivost, (samo)-prilagodljivost
Analiza učinkovitosti algoritmov:
Načrtovanje eksperimenta, mere učinkovitosti, analiza rezultatov, predstavitev rezultatov.
Analiza problema:
Značilnosti problema, raziskovalna analiza/analiza pokrajine primernosti, predstavitev problema, portfelj problemov.
Introduction:
Terminology and Definitions
Planning and Scheduling:
Hierarchy, requirements and constraints, basic approaches (heuristic, deterministic, stochastic)
Application Fields:
Production, logistics/transport, resource management
Problem Modeling:
Complexity, constraints handling, multi-criteria, multi-level
Integrated Planning and Scheduling:
Characteristics, approaches, applications
Planning and Scheduling in Dynamic Environments and Uncertain Conditions:
Influence on modeling, application, accuracy
Advanced Planning and Scheduling Algorithms:
Techniques, applications, computational complexity, response time, accuracy, reliability, (self)-adaptability
Algorithms’ performance analysis:
Experimental design, performance metrics, results analysis, results presentation.
Problem characteristics:
Problem features, exploratory/fitness landscape analysis, problem representation, problem portfolio.