Journal of Japan Industrial Management Association
Online ISSN : 2187-9079
Print ISSN : 1342-2618
ISSN-L : 1342-2618
Volume 52 , Issue 1
Showing 1-13 articles out of 13 articles from the selected issue
  • Type: Cover
    2001 Volume 52 Issue 1 Pages Cover1-
    Published: April 15, 2001
    Released: November 01, 2017
    JOURNALS FREE ACCESS
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  • Type: Cover
    2001 Volume 52 Issue 1 Pages Cover2-
    Published: April 15, 2001
    Released: November 01, 2017
    JOURNALS FREE ACCESS
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  • Type: Index
    2001 Volume 52 Issue 1 Pages Toc1-
    Published: April 15, 2001
    Released: November 01, 2017
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  • Type: Appendix
    2001 Volume 52 Issue 1 Pages 1-2
    Published: April 15, 2001
    Released: November 01, 2017
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  • Katsuhiko TAKAHASHI, NAKAMURA Nobuto
    Type: Article
    2001 Volume 52 Issue 1 Pages 3-10
    Published: April 15, 2001
    Released: November 01, 2017
    JOURNALS FREE ACCESS
    As a Just-in-Time(JIT)ordering system for multi-stage production systems, the Kanban system has been proposed. In the Kanban system, the order release for each process is determined on the basis of actual demands, that is, without demand forecasts, and it leads to avoiding the influence of forecasting error. Although the influence of forecasting error can be avoided, the influence of demand changes, especially unstable changes, cannot be avoided even in the Kanban system. Based on this background, a reactive Kanban system that can react to unstable changes in product demand is proposed for realizing agile control in the Kanban system. In the reactive Kanban system, unstable changes in product demand are detected using a control chart, and the number of Kanbans is adjusted to the detected unstable changes. As a technique for detecting changes rapidly, neural networks have been applied to process control, and their effectiveness has been reported. Based on the literature, this paper develops a reactive Kanban system with a neural network for a multi-stage production system with unstable changes in product demand. In the system developed, a multi-layered neural network is applied for detecting pattern changes in time series data on demand, and the detected pattern change is utilized for controlling the number of Kanbans. A mathematical model of the reactive system is formulated, and the performance of the developed system is investigated and compared with that of the previous system by simulation experiments.
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  • Etsuko KUSUKAWA, Hiroshi OHTA
    Type: Article
    2001 Volume 52 Issue 1 Pages 11-19
    Published: April 15, 2001
    Released: November 01, 2017
    JOURNALS FREE ACCESS
    Recently, Steiner has presented a CSC(Confirmation Sample Control)chart for sensitively detecting small and moderate changes in quality characteristics for either upward or downward shifts, instead of Shewhart-type charts. On the other hand, Xie et al.have presented a CCC(Cumulative Count of Conforming)-r chart for controlling p in very-high-yield processes. However, the CCC-r chart is not sensitive for detecting small and moderate changes in p for both upward and downward shifts. It is desirable to detect sensitively these shifts in p in the case of controlling p in very-high-yield processes. From this viewpoint, this study presents a simplified chart for sensitively detecting small and moderate changes in p for both upward and downward shifts, based on applying the design method of the CSC chart to the CCC-r chart. The ANOSs(Average Number of Observations to Signal)of the proposed chart are compared with those of the CCC-r chart.
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  • Chi-Hyon OH, Hirokazu KOMATSU, Katsuhiro HONDA, Hidetomo ICHIHASHI
    Type: Article
    2001 Volume 52 Issue 1 Pages 20-29
    Published: April 15, 2001
    Released: November 01, 2017
    JOURNALS FREE ACCESS
    Fuzzy clustering algorithms are useful vehicles to search for structure in data sets by handling fuzzy clusters and have a lot of varieties. Fuzzy c-varieties(FCV)is one of those algorithms in which the prototypes are multi-dimensional linear varieties. The linear varieties are spanned by some local principal component vectors and the FCV clustering algorithm can be regarded as a simultaneous algorithm of fuzzy clustering and principal component analysis. Even though the FCV has the advantage of finding local principal components, they are sometimes strongly influenced by the dominant factors. To eliminate the influence, we propose a new method of fuzzy clustering which extracts local principal components independent of subsidiary variables. In the algorithm, subsidiary variables are regarded as dominant factors. A certain constraint which represents that principal components and subsidiary variables are uncorrelated is added to the objective function for the sake of realization of the proposed method, The solution algorithm is based on an iterative procedure through necessary conditions of optimality of Lagragian function. As numerical examples, first we apply the conventional FCV and the proposed method to an artificial data set and examine their performance. Next, we apply them to a POS(Point of Sales)transaction data set in order to discover associations among items without being influenced by the explicit dominant factors.
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  • Yasuhiko TAKEMOTO, Kyouko WATAKABE, Jun'ichi KOBAYASHI, Ikuo ARIZ ...
    Type: Article
    2001 Volume 52 Issue 1 Pages 30-36
    Published: April 15, 2001
    Released: November 01, 2017
    JOURNALS FREE ACCESS
    The cumulative sum control chart is known as a control chart sensitive to a slight change in lot quality characteristics. Further, in this control chart, the user can determine chart parameters according to the degree of change in quality characteristics which the user wants to detect. On the other hand, Kanagawa et al.have proposed the(x^^-, s)simultaneous control chart which enables the user to monitor both changes of the mean and the variance simultaneously for normally distributed characteristics. In this paper, we consider a cumulative sum(x^^-, s)simultaneous control chart in order to improve the control feature for a slight change in quality characteristics. In addition, the economical operation of the cumulative sum(x^^-, s)simultaneous control chart is also considered.
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  • Sen LI, Yasuhiro KAJIHARA, Hirokazu OSAKI, Yoshiomi MUNESAWA
    Type: Article
    2001 Volume 52 Issue 1 Pages 37-45
    Published: April 15, 2001
    Released: November 01, 2017
    JOURNALS FREE ACCESS
    Development of monitoring systems are critical for ensuring safety of operators in automated factories, since the number of such factories is expected to increase. However, methods for recognizing states of operators, such as postures and signals in case of emergency, have not yet been well studied. Here, the focus is on an image processing method for identifying operators by using several patterns and marks attached to their uniforms, recognition of postures and signals of operators. Several striped patterns and marks are chosen as plain identifiers of operators, and criteria of image processing are formulated for the identification of patterns and marks. In addition, two indices based on area and circumscribed rectangles of operators are introduced in order to judge their states, such as moving or standing, human or vehicle. Moreover, two ratios based on area of workers and their circumscribed rectangles are also applied to recognize operators' postures and signals in case of emergency. Workers' signals considered here are "stop", "need help", "OK", and "pay attention".
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  • Etsuko KUSAKAWA, Hiroshi OHTA
    Type: Article
    2001 Volume 52 Issue 1 Pages 46-52
    Published: April 15, 2001
    Released: November 01, 2017
    JOURNALS FREE ACCESS
    Recently, Xie et al.have presented a CCC(Cumulative Count of Conforming)-r chart based on the quality characteristic of the cumulative count of items inspected until observing r nonconforming items for controlling the fraction defectives p in high-yield processes. As r gets larger, the CCC-r chart becomes more and more sensitive to small changes of upward shift in p. At the same time, the CCC-r chart needs more and more observations to obtain a plotting point on the chart, making it fairly expensive to use. Because of this trade-off problem, it is desirable to determine the optimal values of the number of nonconforming items, r, to be observed before a point is plotted, as well as the sampling interval and the control limit for the CCC-r chart. This paper proposes a simplified optimal economic design method for the CCC-r chart by applying the economic design method of control charts for monitoring discrete quality characteristics presented by Collani et al.to the CCC-r chart. Some numerical results for the optimal parameter values obtained with the proposed optimal economic design method of the CCC-r chart are given to confirm the performance of the proposed economic design method. Expected profits per production cycle obtained by using the proposed optimal economic design method of the CCC-r chart are compared with those obtained for the other fixed parameter values.
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  • Yoshikazu KOBAYASHI, Hitoshi TSUBONE
    Type: Article
    2001 Volume 52 Issue 1 Pages 53-59
    Published: April 15, 2001
    Released: November 01, 2017
    JOURNALS FREE ACCESS
    This study deals with the problem of the production seat booking system. Like an airline or train booking system, customers' orders are assigned a production booking seat. Using the production seat system, inquires about the delivery for individual orders can be answered quickly. The key issues in the production seat system are : (1)To what such production environment can the production seat booking system be adapted? (2)How should the production seat be set? (3)How should orders be assigned a production seat? This paper formulates a production planning model for a production seat booking system with a combination of make-to-order and make-to-stock as production environment. Two kind of variables are set as policy in the model : one is a variable for setting production capacity and the other a variable for assigning orders a production seat. By focusing on the characteristics of market demand, this paper clarifies the following points : (1)How do these policy variables affect the manufactuiring performance? (2)How does the buffer inventory for make-to-stock product affect the degree of the delivery date satisfaction for make-to-order products? (3)Within what range should the two policy variables be set in order to maintain the unfilled-rate of make-to-stock product under the specified level and the degree of delivery date satisfaction for make-to-order products over the specified level? This paper presents a basis for designing for a production seat booking system through a series of numerical experiments.
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  • Shinji SHINODA, Akira NIWA
    Type: Article
    2001 Volume 52 Issue 1 Pages 60-67
    Published: April 15, 2001
    Released: November 01, 2017
    JOURNALS FREE ACCESS
    The authors presented in their previous paper a method of exhaustively enumerating alternative ways of performing assembly-type work, given a series of work steps together with the appropriate information on all parts and equipment involved in it. The basic idea in the above is the representation of a work process by a series of states and intervening changes. This representation consists of(1)a diagram which shows parts, hands, equipments and means of supporting them in any given state : This is called a State Diagram : and(2)a diagram which shows any given change between adjoining states : This is called Change Diagram. These two diagrams form a series of States/Change Transition Diagrams. This paper presents a method of expressing, the above-mentioned series of States/Change Transition Diagrams as a series of matrices. The matrix is, formed in such a way that the enumeration process can be handled by a computer, and the matrix operation makes it possible to uniquely define the relationship between a state and a change. Moreover, as it is naturally conceivable, by using this matrix operation, a series of States/Change Transition Diagrams can be efficiently constructed by the system. This method is not identical with the knowledge representation employed in the field of artificial intelligence, but rather uniquely fit to the depiction of assembly-type work structures.
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  • Type: Appendix
    2001 Volume 52 Issue 1 Pages App1-
    Published: April 15, 2001
    Released: November 01, 2017
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