Kyohnan Elecs co.

Fushimi ku, Japan

Kyohnan Elecs co.

Fushimi ku, Japan
SEARCH FILTERS
Time filter
Source Type

Shirai K.,Niigata University of International and Information Studies | Amano Y.,Kyohnan Elecs Co. | Omatu S.,Osaka Institute of Technology
International Journal of Innovative Computing, Information and Control | Year: 2013

In this study, a delay of process throughput makes it clear that it is due to volatility. Moreover, to understand the difference between the asynchronous method, which causes a delay in the manufacturing process, and the synchronous method, which reduces the process throughput time in manufacturing processes, vie manufactured equipment. "Synchronization with preprocess" is a manufacturing method used to increase throughput. Because synchronization reduces volatility from the start of production until it finishes, it is the best method available. However, it is difficult in realworld situations to prepare all workers who can work within the target working time in the process. Then, vie propose a realistic method termed "Synchronization with preprocess". "Synchronization with preprocess" means that by carrying out the reclassification of the working process, it is a method for smoothing the volatility of the working time. To verify our proposed method, we show that by using synchronization to reduce volatility, we decrease risk. Here, for example, a risk means the delay of working in each process. © 2013 ICIC International.


Shirai K.,Niigata University of International and Information Studies | Amano Y.,Kyohnan Elecs Co. | Omatu S.,Osaka Institute of Technology
International Journal of Innovative Computing, Information and Control | Year: 2013

In order to analyze a manufacturing process, the present paper makes discussion from a physical point of view, not from a conventional management engineering point of view. That is, an idea of a production level corresponding to an energy level being discussed in physics is introduced. When information needed over a whole manufacturing process period is not available 100, an expected value and variance of throughput of the whole process period is estimated by utilizing Kalman filter theory having been used for a state estimation problem in the control theory. Process throughput is evaluated by taking an estimated expected value and variance of a throughput rate as an evaluation criterion, and a cash flow proportional to a manufacturing period as an evaluated value. Finally, a result of numerical value simulation of process throughput evaluation is shown. © 2013 ICIC International.


Shirai K.,Niigata University of International and Information Studies | Amano Y.,Kyohnan Elecs Co. | Omatu S.,Osaka Institute of Technology
International Journal of Innovative Computing, Information and Control | Year: 2013

In this study, by introducing the Ginzburg-Landau free energy, we define a parameter corresponding to an order parameter as a factor of the phase transition in manufacturing processes. Because thermal diffusion equations can be applied as mathematical models in the manufacturing process, we consider the applicability of the "Edge of Chaos", which is used in complex systems, to the manufacturing industry and the extent to which it would do so. We believe that in the manufacturing industry, the "Edge of Chaos" is a phenomenon that is caused by the loss of synchronization between the production and production throughput. The phase transition phenomenon is observed as the process throughput while manufacturing certain control equipment. We also verify the phase transition in the system through experiments on the ow production system. To maintain synchronization between the manufacturing and process throughput, it is necessary to know the critical point of the phase transition. From an economic perspective, it is important to focus on ways to prevent the critical point from being exceeded. In this study, we adopt the average value of the normalized rate-of-return deviations as the critical point. By not exceeding the average value of the rate-of-return, it is possible to maintain uninterrupted production. © 2013 ISSN 1349-4198.


Shirai K.,Niigata University of International and Information Studies | Amano Y.,Kyohnan Elecs Co. | Omatu S.,Osaka Institute of Technology | Chikayama E.,Niigata University of International and Information Studies
International Journal of Innovative Computing, Information and Control | Year: 2013

Although it is well known that power-law distribution appears in stock price fluctuation models and the like and theoretical analytic methods by mathematical finance has made progress, there are not many examples where such theoretical analysis has been performed for manufacturing industries. Therefore, we collected data about a rate of return and its deviation in a certain control equipment manufacturing company for about 10 years, and analyzed the both by applying methods of mathematical finance. Regarding rate-of-return deviation, it was found that it conforms to log-normal distribution. From analysis of mathematical models about rate-of-return deviation, we obtained the following conclusion. If an amount of money of order entries and an amount of money of production are stochastic, accumulated excessive order entries become of Brownian motion, and thus a random "fluctuation" occurs in hour to hour order entries and production even though it might be of a small degree. In comparison with a case where production is made to conform to the average order entry, profit can be increased in a case where strategy to purposefully lead to excessive production or excessive order entries state is adopted. Regarding rate of return, analysis of characteristics of power-law distribution was made. As a result of analysis of mathematical models for a rate of return, the followings are reported. A cash ow of a target company is log-normally distributed. With regard to equipment manufacturing, whether a value after a repayment of a loan is changed or not in the case where a guaranty by a company president is required is reported. In addition, how a value of manufacturing equipment (remaining value) changes after a repayment of a loan relative to a repayment period is reported. Finally, a degree (sensitivity) of in uence of parameters, an initial plan money amount, a repaid money amount and a repayment period, on a remaining value and a result of risk analysis is also reported. © 2013 ICIC International.


Shirai K.,Niigata University of International and Information Studies | Amano Y.,Kyohnan Elecs Co.
IEEJ Transactions on Electronics, Information and Systems | Year: 2012

When we call the production flow to transition elements in the next step in the process of product manufactured one, the production flow is considered to be displaced in the direction of the unit production density. Density and production, as captured from different perspectives, also said production costs per unit of production. However, it is assumed that contributed to the production cost of manufacturing 100 percent. They may not correspond to the physical propagation conditions after each step of the production density, the equations governing the manufacturing process, which is intended to be represented by a single diffusion equation. We can also apply the concept of energy levels in statistical mechanics, production density function, in other words, in statistical mechanics "place" that if you use the world of manufacturing and production term. If the free energy in this production (potential) that are consuming the substance is nothing but the entropy production. That is, productivity is defined as the entropy production has to be. Normally, when we increase the number of production units, the product nears completion at year-end number of units completed and will aim to be delivered to the contractor from the turnover order. However, if you stop at any number of units, that will increase production density over time. Thus, the diffusion does not proceed from that would be irreversible. In other words, the congestion will occur in production. This fact and to report the results of analysis based on real data. © 2012 The Institute of Electrical Engineers of Japan.


Shirai K.,Niigata University of International and Information Studies | Amano Y.,Kyohnan Elecs co.
IEEJ Transactions on Electronics, Information and Systems | Year: 2012

In this present paper, we apply a stochastic differential equation(SDE) for mathematical model which describes manufacturing process from input materials to an end of manufacturing process. We utilize a risk-neutral principal in stochastic calculus based on the SDE. We extend the mathematical model to allow for objective evaluation. In order to improve a lead-time in manufacturing process, we introduce a evaluation equation which satisfy a certain compatibility constraint with lead-time. A certain compatibility constraint with lead-time means a strategy, that is, "Cut off irrelevant process in entire process, and Bring back its improved the process". It is assumed that the probability density function of log-normal type which is a probability density function from input materials to an end of process. This present paper evaluate a certain compatibility constraint with lead-time by applying the risk neutrality and martingale measure of stochastic integral under this assumption. After its evaluation value calculated by a evaluation equation, a process control system evaluates the each subprocess, and reschedules to improve the utilization efficiency of the entire manufacturing process. Thus, a front-end-process is to cancel the request to the process, and follows the instructions on the process control systems. But, this present paper gives only simulation evaluation calculated the parameter, the paper does not discuss a compatibility between a evaluation value of calculated manufacturing lead-time compatibility constraint and a the real system. However, this present paper gives a idea to search bottleneck sub-process in the manufacturing process, and gives a idea of software tool for process synchronization. © 2012 The Institute of Electrical Engineers of Japan.


Shirai K.,Niigata University of International and Information Studies | Amano Y.,Kyohnan Elecs Co.
International Journal of Innovative Computing, Information and Control | Year: 2014

We clarify the self-similarity of fluctuations in a supply chain system and present a size-independent mathematical model of a supply chain system using Langevintype stochastic differential equations. As numerical examples, we provide density spectra (criteria of synchronization processes) for a given frequency ranges (lead time). The self-similarity of fluctuations is given by the function of throughput deviations within the process. We also demonstrate that for this supply chain system, when the time constant of the time correlation function possesses a uniform Poisson distribution, the system exhibits f-1 fluctuation and when this time constant possesses a uniform distribution, the system exhibits f-2 fluctuation. Furthermore, the supply chain system has a Lorentzian spectrum under the condition of fluctuations having spectral density. We also verify the self-similarity in the supply chain system. The probability distribution of cost rate based on the lead time exhibits a normal distribution. Furthermore, the probability distribution for the absolute value of the cost rate deviation based on the lead time exhibits a power-law distribution. Finally, regarding the management strategy to be taken by the manufacturer, we propose that profit can be increased when adopting a strategy that purposefully leads to a state of excessive production or one of excessive order entries. © 2014 ICIC International.


Shirai K.,Niigata University of International and Information Studies | Amano Y.,Kyohnan Elecs Co.
International Journal of Innovative Computing, Information and Control | Year: 2014

We analyze a production process based on the nonlinearity of the rate of return on sales. The mathematical model leads to a van der Pol differential equation. We propose a stochastic field that is analogous to the mechanical field of physics. In the stochastic field of a production process with nonlinear characteristics, we clarify the condition that yields a stable cyclic solution using cost parameters and nonlinear characteristics parameters. We consider that overcoming the nonlinearity of production will lead to improved productivity. In a real production process, we introduce a case of throughput improvement by implementing a recombination of the process. © 2014 ISSN 1349-4198.


Shirai K.,Niigata University of International and Information Studies | Amano Y.,Kyohnan Elecs Co.
International Journal of Innovative Computing, Information and Control | Year: 2014

In this study, we use the phase oscillator model proposed by Kuramoto and apply it to the production process for the first time. In our previous study, the production process was itself described by the diffusion equation. In this study, a joint propagation model, which represents the connections between different processes, is described by the diffusion equation. We applied the joint model of an autonomous distributed system to the production process under the diffusion equation for the propagation of production elements and the same physical quantity of propagation. From the obtained data of the production flow process, we propose the phase oscillator model for the analysis of production process. We verify that the offset value identifies asynchronous or synchronous production processes. © 2014 ICIC International.


Shirai K.,Niigata University of International and Information Studies | Amano Y.,Kyohnan Elecs Co.
International Journal of Innovative Computing, Information and Control | Year: 2015

The Vasicek model, which is used in mathematical finance, was adopted to evaluate the production throughput of a production flow system. The production throughput was assumed to behave as an average regression. The production consisting of asynchronous and synchronous processes was evaluated theoretically using the average regression. Three patterns, which combined asynchronous and synchronous methods involving nine workers and six stages each, were also tested. Both experiment and calculations gave almost the same production throughput data, thereby validating the mathematical model proposed in this study. © 2015 ICIC International.

Loading Kyohnan Elecs co. collaborators
Loading Kyohnan Elecs co. collaborators