The purpose of this paper is to explore how Industry-University-Government cooperation worked effectively in the Photovoltaic industry after the 1970s in Japan. The reason why the Photovoltaic industry grew rapidly was the successful coupling of industry, university and government system.

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In this paper, we proposed an optimal ordering policy of parts in a Closed-Loop Supply Chain. The manufacturer in the supply chain decides the order quantity of new and reused parts minimizing their total cost, ordering cost of parts, holding cost of products and opportunity loss cost. We apply our proposal policy to a product of a certain corporation and confirm the efficiency of the proposal.

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Optimization or mathematical programming techniques have a wide range of applications in the areas of engineering, social sciences and the like. In this presentation, we consider an application of optimization models to marketing data analysis. First, we develop a bid price prediction model for used cars. We apply least absolute value (LAV) estimation to regression analysis instead of ordinary least squares (OLS) estimation, and by using integer programming we choose the best set of explanatory variables. Next, we propose a new model of retail shelf space management, where the optimal table menus for sales promotion are selected simultaneously with allocating shelf space to individual products. Using a piecewise linearization framework, we formulate the problem as a liner programming one and solve it efficiently.

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We discuss modelling and applications for multi-period portfolio optimization problems in the paper. We introduce the research topics for porfolio optimization modelling. We explain the features of the simulated path model and the hybrid model which are the multi-period optimization models developed by the author. We describe the applications using these models; pension ALM model used in practice and household ånancial planning model.

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In this paper, we propose a new methodology to diffuse data mining technology developed by researchers who belong to universities. In order to this, we need that universities redefine the software development as a research, and sophisticate the data mining software using open source software development methods by themselves. KGMOD, data mining software we developed aiming to realize the methodology is introduced.

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Many systems such as manufacturing, supply chain, material handling, etc. are too complex to be modeled analytically. Discrete Event Simulation was used to evaluate the performance of such systems. In this paper we present introduction to implementation of discrete event simulation scheduler and simulation optimization method for our tool.

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This paper starts with the premise that successful Business Intelligence (BI) brings about changes in business activities. In accordance with the level of the changes it drives, we propose to classify BI into four types: "Cross-tabulation BI", "Discovery BI", "What-if BI", and "Proactive BI" in the ascending order of the level of change. To achieve higher level of change, it is necessary to improve the BI maturity level, namely the organizational capability of BI. The BI maturity model defined in this paper divides such capability level into five stages, and the keys to attain the targeted stage are described in terms of business process, information system, and human resources and organization.

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This document describes simulations for materials processing technologies from the viewpoint of "Kototukuri." Nowadays, various simulations of materials processing have been reported in research papers. However, it seems difficult to implement these simulations in the processes, especially material removal processes such as cutting, grinding, EDM and laser machining. Thus, what is needed to utilize such simulations for high quality and high efficiency machining is discussed here.

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Simulation and visualization in the manufacturing clarify the issue of the machine shop and/or manufacturing research division. Then, they promote the technological innovation in manufacturing to establish the identification of the manufacturing company. The report describes the machining simulation and discusses the usage of the simulation in the companies. The tool design based on the simulation is shown as an example

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In this study, oil-mist flow on flank wear was studied in MQL grooving and MQL finish-turning. Using the general-purpose CFD software, the amount of oil-mist reached near the cutting point. From the result, the appropriate air blowing pressure range was existed in MQL finish-turning. On the other hand, high blowing pressure was more effective for the wear reduction of flank wear in MQL grooving. The tendencies of pressure gradient near the cutting edge were differed between the two cutting method. This difference was important for the understanding the mechanism of the wear suppression.

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Machinability becomes one of major factors for designing high-performancestructural materials. In general, higher strength or higher toughness of a material poses some difficulties of machining. Some free-cutting additives are contained in a structural material to make machinability high. It is, however, difficult to determine how much they should be contained in designing a material. A FEM cutting simulation has high predictability. It can predict the cutting forces, the cutting temperature, the surface integrity and the tool wear, if the material properties of the workpiece and the tool and the cutting conditions are known. Then, this study aims to develop a material design system that utilizes a FEM cutting simulation. This paper shows some simu-lation results of cutting of inhomogeneous materials, and discusses the adaptability of material design of the FEM cutting simulation.

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In this paper, we explain the quality management aspect that arises from the solving process of the linear equations. Especially, we introduce our methodology to analyze and evaluate on numerical algorithms systematically by using information visualization and the QC tools. We have carried out the comparing the efficiency between solvers and preconditionings, and we have carried out the analysis of the false convergence of the iterative algorithms.

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Recently Farmer's market has obtained considerable attention from consumers in suburbs because of its high quality products remarkably in freshness, food security and reasonable price. To ship products to the market, each farmer has to make management decisions on each package of products, e.g. price, amount, etc. However he tends to have less experience, information and time to make the rational decisions as he have to work at his farming field. We have made collaborative partnership with a farmer's market established in Iwate Prefecture and propose a management information support system for farmer's market business. In this paper, we present management problems in farmer's market business, and a proposed information system to solve some parts of them. For future application, we have analyzed some sales data of the market and show some perspectives to enhance business of the farmer's market.

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In actual places where production activities are executed, huge variety of information is generated, transformed and exchanged dynamically. These activities are the source of valuable knowledge creation that affects the benefit of manufacturing enterprises. Only a part of the information is implemented in IT systems at this time. On the other hand, human oriented information, which contains so-called tacit knowledge, is also very important for the shop floor management in order to get competitive and sustainable advantages. This paper introduces a platform for manufacturing information exchange, and proposes how to operate context- depended information while keeping its flexibility and extendability.

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In a batch process, the delay of pre-assigned schedule lowers productivity and acts as a trigger for operational faults. Thus, the delay should be recovered within a reasonable time period. In this research, the problem of finding the revised schedule is formulated as the problem of optimizing the recovery cost under the constraint of the number of batches within which the schedule should be recovered. Then, a progress control support system using the proposed optimization method has been developed. When the delay of the operation occurs, the proposed system graphically indicates the operations where the processing times should be shortened. The effectiveness of the developed system was evaluated by applying the system to several test problems.

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This paper presents a four-quadrant model of supporting managerial decisions through collective knowledge and intelligence. The model distinguishes four functional domains, namely, collective weighting, collective reasoning, collective idea evaluation and collective idea creation. A systematic framework built around an intra-company prediction market for utilizing each function is proposed and relevant issues to realize each framework and how to resolve them are discussed.

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Large-scale software systems for finance, communication, transportation or taxation frequently suffer some system-down troubles. Software troubles have two characteristics compared with hardware troubles. First, the software systems always request some up-date technologies; so its designers continue to face an up-date but un-experienced failure. Secondly, the software trouble doesn't hurt any parsons; so the reason of the trouble doesn't be clarified in the court, becoming wrapped in mystery. In results, the system-down troubles are not deeply analyzed, and some standard and common countermeasures are not developed. Especially, the large-scale software systems become too complex to prevent some interference problem between the functional requirements. Now, a new methodology that we can set up the group of the minimum and independent functional requirements is necessary in defining the design.

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     People and their organizations now more openly share failure information so they can learn from the events and avoid similar happenings in the future. Accidents and scandals, nevertheless, keep emerging. While we now realize the effect of sharing knowledge, we rely on easy solutions of raising awareness, training and education, and stronger control. Such solutions that depend on human consciousness have no long-term effect and we have to implement creative mechanisms into our solutions, most effectively in the design stage. Avoiding hard work in the operation stage is the key in eliminating failures.

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The electric consumer products repeat to have the similar accident of the past example of failures. If a common scenario is extracted by the analysis of the past failure and a counter measure technique is established; remarkable recurrence prevention can be performed. From this viewpoint, the example of recalls, namely, notice-of-a-company to withdraw the failure product was classified into phenomenon, cause, and counter measure, for its analysis. For examples, the phenomenon data show that the accidents of ignition and emitting smoke occupy 69%. The cause data does that functional degradation occupies 52%; the counter measure data does that design change occupies 85%.

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To consider the communication strategies in crisis management, it is important to learn from best and worst cases and their causal factors. We investigate methodology which extracts useful information from the newspaper articles of the case with text mining technology. The case study results show that text mining can extract the effective reference information for communication strategies consideration.

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Root cause investigation of product accidents plays the important role for the recall decision making, emergency plan, and preventive action. To visualize a process to product accidents by reappearance test brings us useful information for the root cause investigation. Author explains effectiveness of this visualizing by using some examples.

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In this paper the digital medical record system currently adopted in Japan is described, and its merits as well as demerits are discussed. The system is effective in supplying medical service to patients through cooperation of medical and co-medical staffs. It is also beneficial in visualization of medical processes by procedural modeling. But further consideration on risk management will be necessary for its future development.

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How do we implement of Electronic Medical Chart system for hospital ? What is difficulty of medical information systems? This document describes that history of medical information system and how do we adapting project manage-ment technique for those systems.

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Herein, features of the digital medical record system at the Toho University Omori Medical Center are briefly described. This system allows physicians, nurses, and co-medicals to co-share critical information as for patients treatment as well as vital information for preventing medical hazards.

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DPC

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Patient safety and quality issues have become key concepts in modernized healthcare system. Most adverse events are caused by an inappropriate system, and a system approach to build a safer system for both patients and medical staff should be prioritized. The introduction of IT into healthcare is expected to decrease certain types of adverse events relating to patient identification and information transmission. The presentation will address the background and basic concepts of patient safety and quality issues with topics relating to the introduction of IT into healthcare.

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Greenhouse gases Observing SATellite (GOSAT) "IBUKI" was successfully launched on January 23, 2009. GOSAT observes global distribution of carbon dioxide and methane, which are major greenhouse gases (GHGs). The GHG's global distribution was estimated from the ground-based monitoring staitons, which are mainly located in the advanced countries. GOSAT will measure GHG concentrations even over the sparse area of ground monitoring stations like Mid-Africa, South America, and Siberia. GOSAT will contribute to more precise and certain estimation of GHG distribution and its temporal (monthly) variations. GOSAT measurement scheme, objectives, data processing status, validation plan, and research applications will be shown in this presentation.

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A method has been developed for visualizingmangrove distributionutilizing unique fea-tures of mangroves. A Landsat ETM+ image and a digital elevation model were used to discrimi-nate mangrove forests in Iriomote Island, Okinawa, Japan. The results agreed well with ground truth data.

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To mitigate urban heat islands, the use of the sea breeze, which transports a large amount of urban heat to outer areas, is potentially effective for urban air cooling. In this project, the Earth Simulator, a powerful super computer system, was applied for the first time to find a solution to an urban environmental problem. The CFD technique was adopted to simulate air flow and temperature fields with a 5-m horizontal resolution over scales ranging from the building scale to the entire area of the 23 wards of Tokyo.

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On the utilization to sustainable urban and regional planning, the new development of future remote sensing and visualization techniques is expected. In this paper, the analysis of urban / built thermal environment is introduced as an application field of remote sensing. The effectiveness of the airborne high-resolution remote sensing data is confirmed by showing land coverage classification maps using the multispectral data and seasonal variations and daily variations of the heat island phenomenon visualized in the multi - temporal thermal images. As some examples of future remote sensing application, the application of remote sensing on the analysis of urban thermal environment that linked with GIS and the environment simulation technology is shown.

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Author has been involved in developing and promoting the Comprehensive Assessment System for Built Environment Efficiency named "CASBEE" as a secretary general supported the Housing Bureau, Ministry of Land, Infrastructure and Transport since 2001. CASBEE can assess and rank detached houses, large buildings, town blocks and cities. CASBEE is widely used by the Japanese government, local authorities and private companies for building control, procurement, building management, etc. This presentation will focus on CASBEE for detached houses.

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