Innovation and Supply Chain Management
Online ISSN : 2187-8684
Print ISSN : 2187-0969
ISSN-L : 2185-0135
17 巻, 3 号
vol17no3
選択された号の論文の3件中1~3を表示しています
vol17no3
  • Shingo AKASAKA, Jiahua WENG
    原稿種別: research-article
    2023 年 17 巻 3 号 p. 111-118
    発行日: 2023/09/30
    公開日: 2023/11/22
    ジャーナル フリー

    In this research, ETO (Engineer-to-Order) production with MTS (Make-to-Stock) parts is focused on. The research aims to enable the sales staffto quickly identify customer requirements, propose required product functional specifications and delivery dates while considering efficient utilization of parts inventory. To realize this aim, a sales support system that presents product functional specifications to customers in following two phases is proposed. (1)Customized design phase: to enable quick proposition of specifications based on the customer requirements, the relationship among customer requirements and product specifications are systematized, and a basic product functional specification determination method is proposed. (2) Order reservation and selection phase: to enable efficient use of parts inventory and maximize orders, order receiving seats are developed beforehand by applying the concept of“production seat booking system ”. Basic product functional specification obtained from (1) is used as input to enable convenient selection of specifications for the manufacturer. A case study of machine tools is tested, and the effects are confirmed on both increasing order receive rates and reducing parts inventory.

  • Masataka SANO
    原稿種別: research-article
    2023 年 17 巻 3 号 p. 121-125
    発行日: 2023/09/30
    公開日: 2023/12/03
    ジャーナル フリー

    Contemporary clinical laboratories are mandated to yield measurement outcomes characterized by elevated precision and consistency. To fulfill this imperative, numerous laboratories have recently instituted quality management systems conforming to ISO 15189, primarily to meet the exigencies of both patients and the clinicians overseeing their healthcare. The utilization of the Fishbone (Ishikawa) Diagram is instrumental in delineating the architecture of potential variables influencing measurement results throughout the entire analytical procedure. This research endeavors to establish foundational elements for inclusion in the Ishikawa Diagram and to conceptualize a framework for the diagram, thereby facilitating the construction of bespoke Ishikawa Diagrams tailored to specific measurement parameters across diverse operational contexts. Consequently, a methodological approach is recommended following an analysis of the pertinent issues encountered at Hospital A, culminating in the identification of 81 universal factors.

  • Guixiang JIN, Akihiro NAKATSUKA, Hiroaki MATSUKAWA
    原稿種別: research-article
    2023 年 17 巻 3 号 p. 131-137
    発行日: 2023/09/30
    公開日: 2023/12/07
    ジャーナル フリー

    Freshness of agricultural products is very important for health of customers and profit of farmers. In this paper,we deal with vegetable supply chain including production activities such as planting, mowing, fertilization, harvesting and distribution activities such as transportation from farm to distribution center, distribution center to retailer, restaurants,and consumers. There are hundreds of tons waste throughout the supply chain including consumption every year, and it becomes big social problem in Japan. In this paper, aiming to reduce waste of vegetables and other fresh agricultural products, we develop a visualization system of vegetables where those production activities are recorded using sensing technology, and demonstrated to buyers ahead of bidding in the distribution center. Since those production activities were carried out according to GAP (good agricultural practices) standards, buyers may correctly determine quality of the agricultural product ahead of harvest and put there bidding price before harvest. This is an assumption in this paper, which means that agricultural product could be harvested after demand is determined, or the harvesting activities performed for the fixed order, i.e., harvest to order (HTO). Through POC (proof of concept) of the system, we found that the visualization system can contribute to reduction of waste more than 15% same time it can generate GAP report automatically whenever it necessary according to the recorded data.

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