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Balancing schedules using maximum leximin

  • Federico Toffano
  • , Nic Wilson

Research output: Chapter in Book/Report/Conference proceedingsConference proceedingpeer-review

Abstract

We consider the problem of assigning, in a fair way, time limits for processes in manufacturing a product, subject to a deadline where the duration of each activity can be uncertain. We focus on an approach based on choosing the maximum element according to a leximin ordering, and we prove the correctness of a simple iterative procedure for generating this maximally preferred element. Our experimental testing illustrates the efficiency of our approach.

Original languageEnglish
Title of host publicationSymbolic and Quantitative Approaches to Reasoning with Uncertainty - 15th European Conference, ECSQARU 2019, Proceedings
EditorsGabriele Kern-Isberner, Zoran Ognjanović
PublisherSpringer Verlag
Pages492-503
Number of pages12
ISBN (Print)9783030297640
DOIs
Publication statusPublished - 2019
Event15th European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty, ECSQARU 2019 - Belgrade, Serbia
Duration: 18 Sep 201920 Sep 2019

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume11726 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference15th European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty, ECSQARU 2019
Country/TerritorySerbia
CityBelgrade
Period18/09/1920/09/19

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 9 - Industry, Innovation, and Infrastructure
    SDG 9 Industry, Innovation, and Infrastructure

Keywords

  • Fair division
  • Preferences
  • Scheduling under uncertainty

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