Award winner

2023 Asian Conference of Management Science and Applications（ACMSA2023）
(2023 Asian Conference of Management Science and Applications（ACMSA2023）)

・STUDENT BEST PAPER AWARD

　Ms. YAMAUCHI Risako, Creative Engineering Program, Department of Engineering

　（SUN Jing Laboratory(Link to Japanese website ））

・EXELLENT PAPER of SPESIAL SESSION

　Mr. SAKURAI Wataru, Architecture, Civil Engineering and Industrial Management Engineering Program, Department of Engineering　

　（NAKADE Koichi Laboratory(Link to Japanese website ））

　Ms. HORIE Kirana, Creative Engineering Program, Faculty of Engineering

　（SUN Jing Laboratory(Link to Japanese website ））

Award-winning research

YAMAUCHI Risako "An Integrated Model for Power Demand Forecasting and Power Procurement Using Economic Indicators"

There is a movement in the power industry to compete in the power market and expand the introduction of renewable energy. However, the output of renewable energy is unstable, and power companies need to delicately manage the amount of electricity transmitted and generated. Therefore, I proposed a model that minimizes the total cost of electric power companies and consumers as an objective function. This research allows power companies to create power plans that are the lowest cost for themselves and their customers, and that meet environmental standards.

SAKURAI Wataru "An Optimization Model of a Retailer and a Manufacturer in a Green Supply Chain"

In recent years, the development of sustainable supply chains has become an urgent issue for governments and companies. In this study, we considered a green supply chain model in which a manufacturer collects unsold items from a retailer's store under stochastic demand fluctuations, and then produce new products and reproduce them using collected items. We analyzed the optimal decisions on ordering policies, retail and wholesale prices, and green investment that maximize the expected rewards for a retailer and a manufacturer, considering the carbon tax system for CO₂ emissions during the production process.

HORIE Kirana "Optimal Strategies of Electricity Plans Using Latent Class Analysis Considering Renewable Energy"

Since power generation from renewable energy is a trend, and the general public is also forced to bear the burden in the form of a levy, the importance and demand for a convincing power plan is increasing. Therefore, we used factor analysis to find latent factors, presented materials for environmental risks, and proposed a power plan by using a latent class logit model.