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Hiroyuki GOTO

Name
Hiroyuki GOTO
Major
Systems Engineering and Science (Management Science Track)
Lab.
Management Science Laboratory
Research Fields
Scheduling Methods under Limited Resources, Effective Use of Geographical Information Systems (GIS) Data
Keywords
Discrete Algebra, Optimal Control, Combinatorial Optimization, Location-Allocation, Geographical Information System, Geomorphometry
URL
http://syslab.k.hosei.ac.jp/

Welcome to Management Sciences Laboratory

Our laboratory engages in a wide range of topics in operations management, encompassing areas such as mathematical programming, numerical analysis, and related analytical methods. Guided by the belief that “We go anywhere where there is a mathematical problem,” we begin our work when an existing operation appears inefficient or has room for improvement. Our mission is to evaluate the issue, analyze it rigorously, and propose more effective solutions.

Research Areas

The field of management science is broad, and our research interests are equally diverse.
  • Location planning: we examine whether the number or placement of facilities can be optimized without compromising service levels. Our analyses lead to improved deployment strategies for service or distribution facilities.
  • Transportation planning: we evaluate scenarios that may alleviate congestion within transportation networks. Using large-scale traffic simulation, we identify strategies that enhance network performance.
  • Scheduling: questions such as whether production lead times are excessive or whether delays occur frequently are central to our investigations. We work to design more efficient resource allocations and scheduling timetables.
  • Decision making: when evaluations of multiple alternatives diverge or conflict, we employ structured methods such as pairwise comparison frameworks to support more consistent and persuasive decision-making processes for stakeholders.

Methodological Approaches

Our approaches reflect the variety of challenges we address. They include discrete algebra, control theory, graph theory, combinatorial optimization, high performance computing, and other analytical techniques.
  • In scheduling problems, we may apply methods derived from control theory or discrete algebra.
  • In location planning, sparse graph structures often arise, for which mathematical programming and algorithmic approaches are highly effective.
Given the breadth of our research targets, maintaining a balanced and comprehensive perspective is essential to our work.

For Prospective Students

If you already have a specific area of interest within management science, you will find ample opportunity to pursue it here. If your interests are not yet fully defined, there is no need for concern. As long as you are comfortable with mathematics and programming, you are likely to discover a compelling research topic through your engagement in our laboratory.

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