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2016 Fiscal Year Final Research Report

Development of staff scheduling support environment :Automatic modification of optimization model

Research Project

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Project/Area Number 26350435
Research Category

Grant-in-Aid for Scientific Research (C)

Allocation TypeMulti-year Fund
Section一般
Research Field Social systems engineering/Safety system
Research InstitutionSeikei University

Principal Investigator

Ikegami Atsuko  成蹊大学, 理工学部, 教授 (90146936)

Project Period (FY) 2014-04-01 – 2017-03-31
Keywords勤務表作成 / スタッフスケジューリング / ナーススケジューリング / 時間割作成 / 列挙 / 解空間 / 履歴 / モデル構築
Outline of Final Research Achievements

In this study, we aim to implement an environment to help schedulers create schedules involving constraints and associated latent priorities. In nurse scheduling, we enumerate many optimal solutions using networks of feasible schedules of nurses, and present the good solution space by graphically representing the schedule relations. This helps schedulers to understand the modifications possible for a given schedule. In school timetabling (teacher scheduling), we constructed multiple optimization models and compared the speed among them. We then examined a model that makes it easy for the timetable to include constraints with latent priorities.

Free Research Field

組合せ最適化

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Published: 2018-03-22  

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