Search Everything

Find articles, journals, projects, researchers, and more

Back to Articles

Study on Support System of Kaizen Activity for Sustainable Improvement of Global Competitiveness

Authors:
Koichi Murata, Hiroshi Katayama

Abstract

The purpose of this paper is to describe a proposed support system of Kaizen activity which contributes to improve related performance indicators in a production department. Background research consisted of the following three parts. First, a Decision Support System (DSS) provided an illustration for the proposed system; its three elements of interest include Kaizen case-base, Model-base and User-interface. The first element accumulates useful cases for developing new cases. The second element accumulates models to utilize the case-base effectively, including the Kaizen strategic model, Kaizen objective model, Kaizen data analysis model, and model building blocks and subroutines. The third element links Kaizen case-base, Model-base and Kaizen engineers. The linkages are realized by four procedures: installation of proposed support system, construction of Kaizen case-base, evaluation of the case-base, and development of new cases. The second portion of our research was a discussion of Kaizen case-base from three viewpoints: its utilization purpose, its information structure, and data types accumulated in it. Thirdly, investigation of the three primary model types mentioned above was performed and the proposed model-base was constructed. Proposed system was designed to maintain and improve Key Performance Indicators (KPIs) in a manufacturing system through discussions with Kaizen experts whose factory collaborated in this research.

Keywords: Decision Support System (DSS) Global manufacturing Kaizen case-base Key Performance Indicators (KPIs) Knowledge management
DOI: https://doi.ms/10.00420/ms/1027/TILD9/SJU | Volume: 2 | Issue: 3 | Views: 0
Download Full Text (Free)
Article Document
1 / 1
100%

Subscription Required

Your subscription has expired. Please renew your subscription to continue downloading articles and access all premium features.

  • Unlimited article downloads
  • Access to premium content
  • Priority support
  • No ads or interruptions

Upload

To download this article, you can either subscribe for unlimited downloads, or upload 0 items (articles and/or projects) to download this specific article.

Total: 0 / 0
  • Choose any combination (e.g., 2 articles + 1 project = 3 total)
  • After uploading, you can download this specific article
  • Or subscribe for unlimited downloads of all articles