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Article type: Cover
1988 Volume 39 Issue 2 Pages
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Published: June 15, 1988
Released on J-STAGE: December 17, 2018
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Article type: Cover
1988 Volume 39 Issue 2 Pages
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Published: June 15, 1988
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Article type: Index
1988 Volume 39 Issue 2 Pages
Toc1-
Published: June 15, 1988
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Article type: Appendix
1988 Volume 39 Issue 2 Pages
App1-_iv_
Published: June 15, 1988
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Nobuto NAKAMURA
Article type: Article
1988 Volume 39 Issue 2 Pages
67-68
Published: June 15, 1988
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Naoto KATAYAMA, Hiroshi KASUGAI
Article type: Article
1988 Volume 39 Issue 2 Pages
69-75
Published: June 15, 1988
Released on J-STAGE: December 17, 2018
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The discrete network design problem is that we select links so that we can efficiently process the flow in a network.This is formulated as a nonlinear combinatorial optimization problem.But it is hard that we can get the exact optimal solution of this problem.This paper proposes three efficiently heuristic algorithms that are greedy, dual and local search algorithms, and a construction order algorithm.Thsese algorithms solve efficiently a large discrete network design model.
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Isamu KUBO, Hiroyuki NAGASAWA, Noriyuki NISHIYAMA
Article type: Article
1988 Volume 39 Issue 2 Pages
76-82
Published: June 15, 1988
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A nutrition planning model was constructed as a five-objective planning model, in which materials of food were divided into seven groups based on the component ratio of several important nutriments.All nondominated extreme solutions were found by applying a multiobjective linear programming method to this model.A figure of the human body was introduced for representing the degree of achievement in each objective and for clarifying the relation among the objectives.By using this figure, an interactive decision making sysem was developed for selecting a reduced set of preferred solutions from these nondominated solutions.
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Masayuki MATSUI
Article type: Article
1988 Volume 39 Issue 2 Pages
83-87
Published: June 15, 1988
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Consider a M/<G, G>/1(N) production system with order-selection and switch-order.Under this system, it is assumed that order-avrrivals are Poissonian, processing time is independent of the reward of orders, production capacity is variable and finite backlog is allowed.This paper formulates the two problems of optimizing the long-run average return as semi-Markov decision processes, and discusses a class of the 2-level control problem of job-shop production system.Finally, a numerical example is given.
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Haruki MATSUURA
Article type: Article
1988 Volume 39 Issue 2 Pages
88-94
Published: June 15, 1988
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This paper investigates the problem of determining the number of planning periods in a periodic loading sysem over which work of each job is uniformly loaded.Relationships between the number of job-loaded periods for jobs having a long processing time and variation coefficient of total load are analyzed on the assumption that job arrival intervals are the processing times are exponentially distributed.It is shown that the variation coefficients can be decreased to a certain limit by increassing the number of the job-loaded periods even on condition of the same average job-loaded time.
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Masaaki MATSUDA, Hirokazu OSAKI
Article type: Article
1988 Volume 39 Issue 2 Pages
95-101
Published: June 15, 1988
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In this paper, we propose the method for evaluating the eye movement using the three measures calculated from the visual point-measured by Eye Camera at 33ms times interval.The disribution of visual point is estimated by an area of statistical two dimensional elliptical equation.The moved direction is estimated by the angle between the consecutive visual points and horizontal line.The moved distance is calculated by the visual angle between the consective visual points.It is made clear from the obtained results of three types of indications that the eye movement can be analyzed from this method.
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Takenori TAKAHASHI, Noriaki KANO, Tatsuo IKEZAWA
Article type: Article
1988 Volume 39 Issue 2 Pages
102-108
Published: June 15, 1988
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This paper presents a new control chart, (T_U, T_L)simultaneous control chart, which enables us to make a multiple decision on parameters μand σfor originally normally distributed characteristics when it is observed as attribute data.In this method, a random variable normally distributed with N(μ, σ^2) is observed as attribute data (N_U, N_L) trinomially distributed with TN(n, π_U, π_L) by both-sided specification limits S'_U and S'_L and then each pair of data (N_U, N_L) is plotted on two dimensional simultaneous control chart to judge whether the process is under control or not.If the process is judged as out of control, then multiple decision on μand σ namely, specified interence on the change of μand σ, is made by this control chart.
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Takenori TAKAHASHI, Noriaki KANO, Tatsuo IKEZAWA
Article type: Article
1988 Volume 39 Issue 2 Pages
109-116
Published: June 15, 1988
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In this paper the methods of preparation and practical usage of the (T_U, T_L) simultaneous control chart are shown based on an example.Then the probability of the first kind of error and the power of the test for this chart are obtained by the Monte-Carlo method and it is ascertained that this chart is practically useful compared with two-way control chart.
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Saburo TENDA, Yoshitaka NAGAI
Article type: Article
1988 Volume 39 Issue 2 Pages
117-122
Published: June 15, 1988
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A multidimensional classification method for predicting the probability of goal attainment in designing work groups was already suggested.In short, the method is called MDCP and its role is modeling conditional probabilities for the predicting.An attribute space in the MDCP is used for the modeling.The attribute space is the multidimensional space in which the selective attributes of each entity are configured as a point.Methods for selecting the attributes and a guideline on teh use of the methods are suggested from the viewpoint of the AIC minimization.
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Hiroyuki NAGASAWA, Noriyuki NISHIYAMA
Article type: Article
1988 Volume 39 Issue 2 Pages
123-129
Published: June 15, 1988
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A multilevel multiobjective programming model is constructed and an interactive method for solving this model is proposed in this paper.In this model, multiple objectives are divided into some groups and ordered using preemptive priorities.Along this preemptive order, all groups of objectives are successively optimized in the sense of multiobjective optimizations, i.e., vector maximizations, value maximizations, goal achievements and satisfactions.A set of preferred solutions is reduced to a final one through using the proposed interactive procedure from the highest level to the lowest level in the multilevel model.An application is demonstrated to show the effectiveness of this method.
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Article type: Appendix
1988 Volume 39 Issue 2 Pages
130-133
Published: June 15, 1988
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Article type: Appendix
1988 Volume 39 Issue 2 Pages
134-
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Article type: Appendix
1988 Volume 39 Issue 2 Pages
135-136
Published: June 15, 1988
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Article type: Appendix
1988 Volume 39 Issue 2 Pages
137-138
Published: June 15, 1988
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Article type: Appendix
1988 Volume 39 Issue 2 Pages
App2-
Published: June 15, 1988
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