A knowledge-based social networking app for collaborative problem-solving in manufacturing

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• 作者：D. Mourtzis ; ^{mourtzis@lms.mech.upatras.gr" class="auth_mail" title="E-mail the corresponding author} ; M. Doukas ; N. Milas
• 关键词：Manufacturing system ; Knowledge management ; Social manufacturing
• 刊名：Manufacturing Letters
• 出版年：2016
• 出版时间：October 2016
• 年：2016
• 卷：10
• 期：Complete
• 页码：1-5
• 全文大小：1263 K

文摘

Employees within companies act as “social machines” that process data and information, and produce valuable, yet tacit knowledge. This paper considers a smart factory framework inspired from social networking, in which employees collaborate to tackle problems related to product and production. A knowledge-based mobile app, based on the Root Cause Analysis process, formalises problem-solving instructions and expert opinions described in natural language via the Vector Space Model method. The utilised cloud infrastructure facilitates knowledge sharing and provides a business-oriented social network for employees. Both method and developed app are validated in a case study obtained from the automotive die-construction domain.