A process-based automotive troubleshooting service and knowledge management system in collaborative environment

Liang, Jeremy S

doi:10.1016/j.rcim.2019.101836

Cited by 23 publications

(29 citation statements)

References 46 publications

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“…On the basis of the survey and the focused depictions of the relevant researches in above-mentioned sections, there are several issues suggested in knowledge representation of decision communications in automotive troubleshooting design are not sufficiently stressed, for the causes below: (1) rarely concern a model with an ontology for level and perpendicular combination of respective decision knowledge in a hierarchy with decision task-flow. Most of existing semantic modes, for example, PSS-oriented automotive troubleshooting mode, 3 rule-based query model, 5 collaborative decision support model, 36 and ontology of task tracking and decision making 30 concentrates on depicting the semantics in the scenario of respective decisions. In a hierarchical structure, they cannot seize knowledge with feature of level and perpendicular independencies that are fastened in the communications amid respective decisions.…”

Section: Discussionmentioning

confidence: 99%

“…As for concession decisions, participants make an agreement among multiple contradicting targets. Because of the presence of various decision sorts, the communication between decisions could become various formations, such as formation choice - choice (such as the choice of a brake pad notion and the choice of a disk brake rotor toward a particular utilization 3 ), formation choice - concession (for instance, the choice of a compressor replacement, and the treatment of temperature control effect of the automotive refrigeration system 4 ), formation concession - concession (e.g. diagnosis of the disk brake and drum brake of automotive braking system 5 ).…”

Section: Introductionmentioning

confidence: 99%

“…Ontology mentions as a definite description of a conceptualization, 3,8,9 is increasingly utilized in developing and conducting engineering knowledge in recent decade. [10][11][12] There are several critical benefits about ontology: (1) the ascendency in the expression of complicated relationships in a field; (2) information interoperability; (3) data reuse and sharing; and (4) definite description of terminologies to make communication easily.…”

Section: Introductionmentioning

confidence: 99%

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

Liang

2021

Proceedings of the Institution of Mechanical Engineers, Part D:

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Scheme processes about complicated engineering systems are certainly complex on account of the interdependencies among submodules in the same tier and between tiers of a segmented hierarchy. In the design process with decision mode, this effects in communications among groups of design decisions. It is important to extract and represent the knowledge relevant to the decision communications for developing design process with decision mode. There are two critical issues addressed regarding the modeling of communications: decision types and these are made in various tiers. To stress the above two issues, there are several fundamental communication models defined among decisions in this study. Meanwhile, a presented ontology to identify the knowledge connected with these communication models. Critical benefits of the ontology involve that a hierarchical communications between decisions can be extracted, and a decision task-flows with accessible, adaptable, and implementable features for developing more complex systems can be generated. The applicability of the ontology is shown by scheme for an automotive braking troubleshooting service example.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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

Liang

2021

Proceedings of the Institution of Mechanical Engineers, Part D:

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“…The review spotlights the lack of structured approaches, methods and tools to support decision-making in maintenance (Liang, 2020;Passath and Mertens, 2019) by integrating past knowledge with information extracted from data (Brundage et al, 2019;Singgih et al, 2019) and jointly considering the machine and maintenance perspectives. Based on these findings, this research contribution proposes a framework addressing the gaps identified above from the perspective of the (1) phases composing the process, (2) the actors involved and (3) methods and tools supporting decision-making.…”

Section: Literature Reviewmentioning

confidence: 99%

Data-based decision-making in maintenance service delivery: the D3M framework

Sala

Bertoni

Pirola

et al. 2021

JMTM

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PurposeThis paper aims to present a dual-perspective framework for maintenance service delivery that should be used by manufacturing companies to structure and manage their maintenance service delivery process, using aggregated historical and real-time data to improve operational decision-making. The framework, built for continuous improvement, allows the exploitation of maintenance data to improve the knowledge of service processes and machines.Design/methodology/approachThe Dual-perspective, data-based decision-making process for maintenance delivery (D3M) framework development and test followed a qualitative approach based on literature reviews and semi-structured interviews. The pool of companies interviewed was expanded from the development to the test stage to increase its applicability and present additional perspectives.FindingsThe interviews confirmed that manufacturing companies are interested in exploiting the data generated in the use phase to improve operational decision-making in maintenance service delivery. Feedback to improve the framework methods and tools was collected, as well as suggestions for the introduction of new ones according to the companies' necessities.Originality/valueThe paper presents a novel framework addressing the data-based decision-making process for maintenance service delivery. The D3M framework can be used by manufacturing companies to structure their maintenance service delivery process and improve their knowledge of machines and service processes.

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“…By optimizing troubleshooting procedure, it is intended to reach the goals, for example restrain unacceptable practice diversions and promote service quality. 3,4 Yet, the utilization of contents is inaccessible during the troubleshooting process. Systems of Auto troubleshooting support decision have appeared to promote the utilization of ARMs in troubleshooting practice, but generating them need the systematization of Wenzhou Polytechnic, Wenzhou, China computer-explicable guides (CEGs), depicting the knowledge involved in the ARMs.…”

Section: Introductionmentioning

confidence: 99%

An approach with multi-tier automotive knowledge formalization for troubleshooting activities

Liang

2022

Proceedings of the Institution of Mechanical Engineers, Part D:

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Automotive troubleshooting process integrates repairing activities that are executed through auto professionals when they note phenomenon or conditions and determine about inspections, instructions, or checks, so as to tackle the trouble that affects a car. This study is focused on the knowledge representation for the aim of decision making in automotive troubleshooting process for automotive braking system. To reach this purpose, there are three phases followed: (1) a knowledge representation with procedural mode is investigated from an aspect of decision making; (2) a simple, instinctive, and efficient architecture of automotive knowledge formalization is presented; (3) an approach to generate troubleshooting procedures is defined. A new form, named diagram of expanded transformation (DoET), to represent knowledge and depict three fundamental tiers of decision making in the present or future disposal: processing strategy, quantity, and inapplicability. The approach can be also utilized manually to create DoETs from auto repair manuals (ARMs) or to build them spontaneously applying the messages feasible on workshop lists regarding single, multi-tier troubleshooting processes. The DoETs with auto repair manuals for auto braking system is validated. The acquired model can be utilized as a base structure for troubleshooting assisted systems generation.

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A process-based automotive troubleshooting service and knowledge management system in collaborative environment

Cited by 23 publications

References 46 publications

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

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

Data-based decision-making in maintenance service delivery: the D3M framework

An approach with multi-tier automotive knowledge formalization for troubleshooting activities

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