Profile

Course Head Associate Professor
JINGU Takako
JINGU Takako
Associate Professor in the Management Course. Completed doctoral coursework in Management Systems Engineering at Waseda University Graduate School of Science and Engineering. Master of Engineering. Joined KYOAI GAKUEN UNIVERSITY in April 2015. Assumed current position in April 2019. Specializes in management engineering, service science, and optimization methods. Also focuses on research, education, and support activities aimed at improving productivity and added value in small and medium-sized enterprises.
About the research
My specialty is industrial engineering. Industrial engineering is an academic field that "engines" "management." To explain it in more detail, it attempts to solve the various resources and elements that make up "management" and the challenges in the environment surrounding "management" by using an "engineering" approach based not only on empirical rules but also on scientific theory.
For example, imagine a situation where you are cooking a meal at home. In your refrigerator and kitchen, you have ingredients, seasonings, cooking utensils, and so on. However, there is a limit to the variety and quantity of these. You cannot use everything you want, and you cannot use it infinitely. What would you do in such a situation? You might look around your kitchen and think about the "most satisfying" menu using the ingredients and cooking utensils you currently have. Or you might think about the "cheapest," "easiest to make," or "most nutritionally balanced" menu. In this way, you would choose the "best" menu from a variety of menus (combinations) and make it.
Similar situations exist in many corporate management situations. In business activities, we must consider how to maximize profits or minimize costs by making the most of limited management resources. However, finding the best answer from a vast number of options and combinations is an extremely difficult mathematical problem. This is why an engineering approach is required, such as using computers to perform complex calculations or devising calculation procedures to efficiently find a good answer. In today's rapidly changing business environment, decision-making based on rules of thumb, such as "because things have been like this until now, it must be like this," is not always optimal. Decision-making based not only on rules of thumb but also on objective data is important, and "industrial engineering" is the academic field that supports this.
For example, imagine a situation where you are cooking a meal at home. In your refrigerator and kitchen, you have ingredients, seasonings, cooking utensils, and so on. However, there is a limit to the variety and quantity of these. You cannot use everything you want, and you cannot use it infinitely. What would you do in such a situation? You might look around your kitchen and think about the "most satisfying" menu using the ingredients and cooking utensils you currently have. Or you might think about the "cheapest," "easiest to make," or "most nutritionally balanced" menu. In this way, you would choose the "best" menu from a variety of menus (combinations) and make it.
Similar situations exist in many corporate management situations. In business activities, we must consider how to maximize profits or minimize costs by making the most of limited management resources. However, finding the best answer from a vast number of options and combinations is an extremely difficult mathematical problem. This is why an engineering approach is required, such as using computers to perform complex calculations or devising calculation procedures to efficiently find a good answer. In today's rapidly changing business environment, decision-making based on rules of thumb, such as "because things have been like this until now, it must be like this," is not always optimal. Decision-making based not only on rules of thumb but also on objective data is important, and "industrial engineering" is the academic field that supports this.
Subject in charge
Information and Economics Omnibus/Operations Research/Operations Management/Numerical Processing/decision theory/Service Science/Special lecture on practical use of ICT/Glocal Seminar I and II/Basic exercises I and II/Assignment Exercises I and II/graduation research