PA167 Scheduling

Faculty of Informatics
Spring 2007
Extent and Intensity
2/0. 2 credit(s) (plus extra credits for completion). Type of Completion: zk (examination).
Teacher(s)
doc. Mgr. Hana Rudová, Ph.D. (lecturer)
Guaranteed by
prof. RNDr. Václav Matyáš, M.Sc., Ph.D.
Department of Computer Systems and Communications – Faculty of Informatics
Timetable
Thu 10:00–11:50 B204
Course Enrolment Limitations
The course is also offered to the students of the fields other than those the course is directly associated with.
fields of study / plans the course is directly associated with
Course objectives
The course studies the area of scheduling from the theoretical and practical point of view. Both classical and new methods for solving planning and scheduling problems are presented. Description of general purpose scheduling procedures gives the basic overview of solving methods. Various models for planning and scheduling in manufacturing and services are described and algorithms for their solution are presented. The models include real-life problems like project planning, scheduling assembly systems, timetabling, workforce scheduling, or telecommunication planning.
Syllabus
  • Examples, scheduling problem, Graham classification.
  • General purpose scheduling procedures: dispatching rules, mathematical programming, local search, constraint programming.
  • Project planning and scheduling: project representation, critical path, time/cost trade-offs, workforce constraints.
  • Machine scheduling: dispatching rules, branch&bound, beam search, mathematical programming, shifting bottleneck.
  • Scheduling of flexible assembly systems: paced and unpaced systems, flexible flow shop.
  • Reservations: interval scheduling, reservation with slack.
  • Timetabling: workforce constraints, tooling constraints, relation to interval scheduling.
  • Workforce scheduling.
  • Telecommunication planning.
Literature
  • Pinedo, Michael. Planning and Scheduling in Manufacturing and Services. Springer, 2005.
Assessment methods (in Czech)
Písemná práce pro každý řádný termín, představuje společnou přípravu pro všechny studenty, otázky: příklady (zadán problém, případně i metoda, cílem výpočet rozvrhu), srovnávací, algoritmy, pojmy.
Ústní zkouška ve stejný den jako písemná práce, příprava na individuální otázky, během zkoušky diskuse nad písemnou prací.
Opravný termín pouze jako ústní zkouška.
Language of instruction
Czech
Further Comments
The course is taught annually.
Teacher's information
http://www.fi.muni.cz/~hanka/rozvrhovani
The course is also listed under the following terms Spring 2005, Spring 2006, Spring 2008, Spring 2009, Spring 2010, Spring 2011, Spring 2012, Spring 2013, Spring 2014, Spring 2015, Spring 2017, Spring 2018, Spring 2019, Spring 2020, Spring 2021, Spring 2022, Spring 2023, Spring 2024.
  • Enrolment Statistics (Spring 2007, recent)
  • Permalink: https://is.muni.cz/course/fi/spring2007/PA167