The service task of automotive troubleshooting process in collaborative environment using knowledge support approach

Abstract

The automotive troubleshooting unfolds from the system phase to the multiple-domain phase. It is necessary that different field members, for example, system and domain engineers, cooperate tightly toward an integrated product service process. Therefore, the purpose of this research is to generate a knowledge management platform for the overall automotive troubleshooting service. Besides, general ontologies, automotive troubleshooting service ontology (ATSO), is also created as a helpful tool for the communication of heterogeneous systems. This proposed approach of automotive collaborative troubleshooting is explained with the corresponding meta-model. The main contribution of this research is to assure the traceability in both system and domain phases by structuring knowledge. Eventually, an application is illustrated in enhancing re-usability in the region of automotive braking system in collaborative environment.

Study on an architecture of ontology-based task modeling and deduction for automotive troubleshooting service

“…3,23 Meanwhile, it also improves comprehensibility of information model to eliminate the ambiguity. 5,24 Hence, knowledge with ontology mode becomes a focus of research in recent years.…”

“…1,2 Furthermore, the rapid development of today's smart automobile with increasing functionality and complexity, which results in rising requirement and cost for its troubleshooting service in the after-sales stage. [3][4][5] Hence, to keep the firm's competitive strength, shortening the time of problemsolving process is one of the effective approaches. The troubleshooting process is a vital activity of after-sales service, in which a car is recovered integrating the several portions: motor company, material/tool supplier, auto repair shop and end user in terms of an effective time and cost consideration.…”

“…One of the proposed techniques, computer-aided process planning, has promoted ATP by obtaining the appropriate order of problem-solving operations offered the activity expression of the troubleshooting. 5 Even though these modes and approaches have been broadly explored, intrinsic restrictions in the present work still appears while it involves the information interaction between the task model and ATP. The efficient inferring of such information also keeps to be mentioned.…”

“…Task modeling and troubleshooting process have become key study issues in the near decade. 3,5,6 The former has revealed as an inclusive notion for catching features and semantic messages during the troubleshooting process 3 ; the latter is the outcome of automotive troubleshooting planning (ATP), which concerns feasible resources to streamline the entire troubleshooting (or scheduled maintenance) process. 3,4 There are many studies presented different models and solutions about troubleshooting process over the past decade.…”

A knowledge representation of decision communications in scheme for automotive troubleshooting service

“…In addition, common ontologies, troubleshooting service with ontology mode is also built as a beneficial tool for the interaction of heterogeneous systems. 35…”