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Časovno razporejanje terenskih nalog z mešanim celoštevilskim linearnim programiranjem
ID SEVER, NACE (Author), ID Konvalinka, Matjaž (Mentor) More about this mentor... This link opens in a new window, ID Tušar, Tea (Co-mentor)

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Abstract
Časovno razporejanje terenskega dela je optimizacijski problem, pri katerem želimo poiskati čim boljšo razporeditev nalog za delavca. Želimo, da razpored ne krši nobene omejitve in optimizira dane kriterije. Problem formalno definiramo in zapišemo v obliki mešanega celoštevilskega linearnega programa. Rešujemo ga z uporabo knjižnic OR-Tools in SCIP. Ugotovimo, da za probleme z več kot petimi nalogami algoritem ne deluje dovolj hitro, oziroma pri dani časovni omejitvi ne deluje dovolj dobro. Zato predlagamo poenostavitev problema, ki dovolj zmanjša časovno zahtevnost, da so hitro rešljivi tudi problemi z več kot petimi nalogami.

Language:Slovenian
Keywords:mešano celoštevilsko linearno programiranje, problem razporejanja
Work type:Bachelor thesis/paper
Typology:2.11 - Undergraduate Thesis
Organization:FRI - Faculty of Computer and Information Science
FMF - Faculty of Mathematics and Physics
Year:2022
PID:20.500.12556/RUL-140427 This link opens in a new window
COBISS.SI-ID:124273155 This link opens in a new window
Publication date in RUL:14.09.2022
Views:410
Downloads:76
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Secondary language

Language:English
Title:Fieldwork scheduling with mixed-integer linear programming
Abstract:
Fieldwork scheduling is an optimization problem where we want to find the best assignment of tasks to the worker. We want to find a schedule that doesn't violate constraints and optimizes the criteria. We formally define and formulate the problem in the form of a mixed-integer linear program and solve it using the OR-Tools and SCIP libraries. We find that for problems with more than five tasks, the algorithm does not work fast enough, or rather, it does not work well enough with the given time limit. Because of that we propose a simplification of the problem, which reduces the time complexity enough so that also problems with more than five tasks can be solved quickly.

Keywords:mixed-integer linear programming, scheduling problem

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