Mathematical Optimization Techniques for Efficient Social Infrastructure Systems
Recent Developments in Mathematical Optimization
Mathematical Optimization Techniques Supporting Global Social Infrastructure Business
YONEZAWA Minoru / HANDA Keiichi
A wide variety of mathematical optimization techniques have been introduced into social infrastructure systems, including electric power systems, transportation systems, water supply and sewerage systems, medical care systems, and so on, to improve the efficiency of system design and operations. Global demand for the construction of social infrastructure systems applying mathematical optimization techniques has been growing in both the business and service sectors, accompanying the recent advancement of urbanization as typified by countries in the Asian region.
Toshiba has been developing systems and offering services for a wide range of customers in the field of social infrastructure systems. In response to the changing needs of global markets, we are aiming to develop mathematical optimization techniques as fundamental technologies contributing to integrated efficiency including a reduced burden on the environment, based on our experience in solving various problems.
TOPEMSTM Optimal Operation System to Achieve Energy Saving in Energy Supply Plants
YAMADA Toshihiro / OTSUKA Hirokazu / TSUKAHARA Hideki
Toshiba has developed the TOPEMSTM optimal operation system, which makes it possible to reduce operating costs and save energy in energy supply equipment such as boilers, private electricity generators, refrigerators, and so on by automatically controlling them in the optimal condition, and has been providing this system to many factories with various energy needs.
TOPEMSTM offers the optimal operating schedule for each energy supply plant in a factory based on demand forecasts for electric power and heat (steam, cold water, and warm water). Furthermore, it supports the planning of effective facility replacement by simulating energy consumption in response to changes in the capacity and characteristics of energy supply plants.
Optimization Technologies for Operation of Complex Distribution Systems toward Smart Grid Era
MURAI Masahiko / KOSAKA Yoko / KANESHIGE Yumiko
The introduction of renewable energy sources into distribution systems complicates management of the system voltage and the operation of systems. In addition, as the average power loss of existing distribution systems is about 3%, reduction of power losses is required in order to cut emissions of greenhouse gases discharged by the consumption of fossil fuels.
Toshiba has been engaged in research and development of optimization technologies for the operation of complex distribution systems, applying mathematical optimization techniques. These optimization technologies make it possible to achieve optimal voltage regulation and minimize loss in distribution systems. Furthermore, they can contribute to the realization of stable, economical, and environmentally conscious electric power supply in the forthcoming era of mass adoption of renewable energy sources.
Next-Generation Elevator Group Control Algorithm Based on Prediction of Future Traffic Demand
YAMADA Hisashi / ASANO Norimasa / NAKAMURA Kuniko
The primary function of an elevator group control system is to manage multiple cages systematically and efficiently by allocating appropriate cages in response to hall calls to ensure the best possible service performance, in terms of both passenger conveyance throughout the entire building and the waiting time of individual passengers. The efficient allocation of cages aimed at realizing a total optimization system must therefore take into account the impacts on current and future services when scheduling each cage.
With this as a background, Toshiba Elevator and Building Systems Corporation has developed a new elevator group control algorithm that offers highly efficient service performance based on simulation of the predicted transport schedule of each cage. We have confirmed the effectiveness and efficiency of this method by means of simulations.
Railway Rolling Stock Allocation Scheduler Comparable to Experts
OTSUKI Tomoshi / AISU Hideyuki / YASUMOTO Takanori / NAKAJIMA Masayoshi
In many railway companies recently, experts have been devoting considerable time and effort to the creation of rolling stock allocation plans for certain periods and to the modification of such plans whenever railway disruptions occur.
In cooperation with Tokyo Metro Co., Ltd., Toshiba has developed a scheduler to automatically create rolling stock allocation plans comparable to those produced by experts. This scheduler makes use of our proprietary high-speed combinatorial search engine and flexible constraint expression to immediately generate an optimal plan. Moreover, an evaluation function to determine results expands the flexibility of design. Thanks to these features, our approach is expected to be applicable to a large number of railway companies.
Schedule Management Technology Making Efficient Use of Heavy Ion Radiotherapy for Treatment of Cancer
SAKAKIBARA Shizu / HANDA Keiichi / MIURA Yukio
A heavy ion radiotherapy system for the treatment of cancer is a large-scale and expensive facility, and efficient schedule management for patients and treatment processes is required so as to be able to treat as many patients as possible and facilitate the smooth work of medical staff.
Toshiba has developed a schedule management technology for a series of treatment processes, including fabrication of the holding fixture, irradiation, and so on, in order to make efficient use of heavy ion radiotherapy for the treatment of cancer. This technology makes it possible to automatically create a cyclical treatment planning table that is easy for staff to understand, and establish safety as well as efficiency in treatment. Based on this planning table, we are supporting the practical application of this technology to various procedures including reservations, rescheduling, and so on.