Abstract
Fault diagnosis presents a considerable difficulty to human operators in supervisory control of manufacturing systems. Implementing Internet of Things (IoT) technologies in existing manufacturing facilities implies an investment, since it requires upgrading them with sensors, connectivity capabilities, and IoT software platforms. Aligned with the technological vision of Industry 4.0 and based on currently existing information databases in the industry, this work proposes a lower-investment alternative solution for fault diagnosis and problem solving. This paper presents the details of the information and communication models of an application prototype oriented to production. It aims at assisting shop-floor actors during a Manufacturing Problem Solving (MPS) process. It captures and shares knowledge, taking existing Process Failure Mode and Effect Analysis (PFMEA) documents as an initial source of information related to potential manufacturing problems. It uses a Product Lifecycle Management (PLM) system as source of manufacturing context information related to the problems under investigation and integrates Case-Based Reasoning (CBR) technology to provide information about similar manufacturing problems.
Highlights
A manufacturing failure is an event in which some part of a manufacturing system does not perform according to its operational specifications and it occurs in a specific manufacturing context
The Graphical User Interface (GUI) Agent is responsible for communicating with Aras Innovator, the Product Lifecycle Management (PLM) system implemented in the case study company
This work has presented the details of the information and communication models of a developed system prototype to support a Manufacturing Problem Solving (MPS) process
Summary
A manufacturing failure is an event in which some part of a manufacturing system does not perform according to its operational specifications and it occurs in a specific manufacturing context. The first step in an MPS procedure is the fault diagnosis, which presents considerable difficulty to human operators in supervisory control of manufacturing systems [1,2] Providing support to these operators, by means of knowledge-based software applications, has been identified as essential to achieve good results from the solving procedure [3,4,5]. Product Lifecycle Management (PLM) systems are considered the main source of PPR digital information, and their use would facilitate any attempt to develop a knowledge-based solution to support an MPS process [5,6]. The developed prototype assists human operators during an MPS process It guides the user through the MPS activity based on the problem-solving method 8D [13].
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