Methodology for acquisition of collective tacit knowledge used in diagnosis of defect cause in industrial processes

Author:

Rosário Cláudio Roberto,Kipper Liane Mahlmann,Frozza Rejane,Mariani Bruna Bueno

Abstract

Purpose – The purpose of this paper was to build the MACTAK methodology, which aims to transform collective tacit knowledge into the explicit one using knowledge elicitation techniques, associated to quality tools structured by systemography, represent it in a symbolic language and production rules and model it in two expert systems which can assist the investigation of defect causes during the metal packaging production process. Design/methodology/approach – The method applied in the research was classified as exploratory, because a preliminary study was conducted, to better suit the mapping methodology for eliciting collective tacit knowledge, to the reality which was intended to be known. Through studies and the application of the systemography technique, a methodology for the elicitation of collective tacit knowledge has been developed. It suggests a systematic sequence of activities, to map and transform collective tacit knowledge into the explicit one, on the production process which was studied. Findings – The types of tacit knowledge were mapped and became explicit through the application of the methodology proposed. A knowledge management system was created, as such knowledge was validated by other mechanics during their training on the shop-floor, which resulted in a structure of unique and shared knowledge. They became explicit for being stored in a knowledge base and presented to its users through the expert system. It is concluded that the methodology of acquiring collective tacit knowledge helped on the reduction of rework index by standardizing the way used to investigate the cause of the defect, in the studied company. Research limitations/implications – The MACTAK methodology was developed for exclusive use in industrial processes where the following elements are presented: process, method, environment, raw materials, labor work, measurement and machine. In this method, the detection of the problem occurs from statistical data. Practical implications – The methodology began in August 2010, and in October 2011, obtained as a result a reduction in rework cost equivalent to US$17,780.95. Originality/value – The methodology is unique, as it refers to the systematic use of knowledge acquisition techniques and tools of quality, and the methodology has a characteristic of direct application in manufacturing processes. The beneficiaries, in this case, are mechanicals of production and quality inspectors that work at the operation level in the company. For the organizational and tactical level, the beneficiaries are engineers of production.

Publisher

Emerald

Subject

Library and Information Sciences,Computer Science Applications

Reference32 articles.

1. Abel, M. (2001), “Estudo da perícia em petrografia sedimentar e sua importância para a engenharia de conhecimento”, Tese de Doutorado em Ciência da Computação – Instituto de Informática, UFGS, Porto Alegre.

2. Aguiar, S. (2002), Integração das Ferramentas da qualidade ao PDCA e ao Programa Seis Sigmas , Editora DG, Minas Gerais.

3. Alwis, S.R. and Hartmann, E. (2008), “The use of tacit knowledge within innovative companies: knowledge management in innovative enterprises”, Journal of Knowledge Management , Vol. 12 No. 1, pp. 133-147.

4. Bertalanffy, L.V. (1973), Teoria Geral dos Sistemas , Vozes, Petrópolis, pp. 52-63.

5. Bittencourt, G. (2006), Inteligência Artificial – Ferramentas e Teorias , (Ed.) UFSC, Florianópolis, pp. 257-286.

Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. The role of artificial intelligence in lean construction management;Engineering, Construction and Architectural Management;2023-07-04

2. Linkage between business sustainability and tacit knowledge management in MSMEs;VINE Journal of Information and Knowledge Management Systems;2019-12-06

3. Responsible Management of Biotechnologies;Environmental Biotechnology;2016

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3