Innovation and Supply Chain Management
Online ISSN : 2187-8684
Print ISSN : 2187-0969
ISSN-L : 2185-0135
Volume 9, Issue 1
Displaying 1-5 of 5 articles from this issue
ISCM vol9no1
  • Meishan PIAO, Chengnan YAN, Noritsugu FUJIMOTO
    2015Volume 9Issue 1 Pages 1-9
    Published: March 31, 2015
    Released on J-STAGE: June 01, 2015
    JOURNAL FREE ACCESS
    The aim of this study is to provide insight into the recent industrial agglomeration in China's border areas. As a first step towards more a comprehensive and extensive study on the interaction between industrial agglomeration and local economic development in the Chinese economy, this study examines the status of industrial development in Yanbian in the China-North Korea-Russia triangle border area. In particular, we examined the inŽuence of a decrease in transport costs on industrial agglomerations in the Yanbian area, and describe the industrial agglomeration gradually appeared in these border areas by increasing international trade with regional economic integration, and decreasing transport costs by maintaining the traffic infrastructure under the support of national development policies. We also clarified that the development strategy covered the disadvantageous initial conditions for industrial agglomerations in the Yanbian area.
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  • Masaru ISHIOKA, Wataru TANA
    2015Volume 9Issue 1 Pages 11-16
    Published: March 31, 2015
    Released on J-STAGE: June 01, 2015
    JOURNAL FREE ACCESS
    In the traditional approach of product management, the management focuses on mostly physical products. In many cases, development of new products aims at increasing the product performance, adding the product functions, and cutting the product costs for the better product total quality. However, values offering to the customers from organizations are not only the physical products. If organizations recognize that the market offerings are only physical products, it means that the organizations limit themselves to deliver the variety of value of market offerings and chance of market success of the new products. Especially in the current market condition, the competitiveness of the new products is increasing and getting harder. Therefore, organizations need to redefine the concept and methods of o ffering new products to the current market. Organizations need to seek the new method of increasing the own competitiveness. In this paper,the new approach of management of market offerings which include both product and service is introduced. Because both physical products and services hold the value as the market merchandise, new products could be assortment of product and service. The introduced product management concept demonstrates strategic mixtures of products and services. Some of the market offerings are defined by only physical products, however some other market o fferings are organized by only services. The introduced management concept is a type of seamless mixture approach. In the detail, the paper discusses the methods of strategic combination of products and services. In practically, how and how much it should be considered for the level of mixtures are important. Especially, integration method of new and current items including both product and service is introduced in this paper. With introduced new approach for a new “product with service” or “service with product” management concept, effective management methods are able to be designed.
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  • Yanwen DONG, Xiying HAO, Shinya SATO
    2015Volume 9Issue 1 Pages 17-24
    Published: March 31, 2015
    Released on J-STAGE: June 01, 2015
    JOURNAL FREE ACCESS
    This paper deals with the vehicle routing problem involved with fuzzy/imprecise vehicle travel times and customer service times, these fuzzy/imprecise times are represented as fuzzy numbers and interpreted as possibility distributions. According to the same consideration as the stochastic programming with recourse, we treate the inŽuence of the fuzziness of travel times and service times as recourse cost. and solve the fuzzy vehicle routing problem through twostage decisions. As the result, a two-stage possibilistic programming model is formulated. By choosing an appropriate definition of fuzzy mean, we can show that the proposed model is equivalent to an ordinary crisp programming problem. Furthermore, We propose a solution method based on Ant Colony System (ACS) to obttain the best solution of the problem. Finally, some examples are given to illustrate the two-stage model and the solution algorithm.
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  • Mohammadreza PARSANEJAD, Hiroaki MATSUKAWA, Bongsung CHU
    2015Volume 9Issue 1 Pages 25-29
    Published: March 31, 2015
    Released on J-STAGE: June 01, 2015
    JOURNAL FREE ACCESS
    Stock levels of inventory-production systems has to be optimized such that inventory holding cost reduce meanwhile customer satisfaction increase. But not all companies has such capability due to different types of limitations that exist in the real world. One of these limitations is production constraints which forces manufacturing line to operate under specific upper and lower boundaries. A control theory model of this phenomena has been proposed for zero target inventory resulting in stock out during peak market demand. In this paper we aim to extend it to non-zero target inventory conditions to analyze safety stock levels. Therefore we will be able to find a certain target inventory for each demand frequency to prevent stock out and increase customer satisfaction.
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  • Yanwen DONG, Xiying HAO, Hideo SATO
    2015Volume 9Issue 1 Pages 31-38
    Published: March 31, 2015
    Released on J-STAGE: June 01, 2015
    JOURNAL FREE ACCESS
    Although most of the studies of support vector machines (SVM) models focused on the algorithm improvement or parameters tuning, the performance of SVM models also depends on datasets, based on which the models were constructed. This paper investigate the impact of data comparability on performance of SVM models for credit scoring. After giving several examinations into data comparability and its impairing factors, we collect two practical datasets for credit scoring and then carry out several experiments to construct and test SVM models. According to the experiments'results, it has been clarified that SVM models can classify training datasets perfectly whatever data comparability may be,if we choose appropriate kernel function and related parameters. However, the performance of SVM models to classify new data depends heavily on data comparability. If data comparability is low, the accuracy for classifying test datasets is proportionally low and Žuctuates irregularly. It is obvious that guaranteeing data comparability is more important and effective than improving algorithm or turning parameters of SVM models.
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