Characteristic and Competency Measurement Instrument Development for Maintenance Staff of Mechanical Expertise with SECI Method: A Case of Manufacturing Company

Mahatmavidya, P. A.; Soesanto, Rayinda Pramuditya; Kurniawati, Amelia; Andrawina, Luciana

doi:10.1088/1757-899x/319/1/012008

Cited by 6 publications

(7 citation statements)

References 2 publications

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“…The first method is proposed by Mahatmavidya et al (2018). The purpose of this research was to improve the quality of human resources, in a specific function, by starting from the assessment of workforce's skills.…”

Section: Skills Assessment Methods Reviewmentioning

confidence: 99%

Identifying and Assessing the Required I4.0 Skills for Manufacturing Companies’ Workforce

Acerbi,

Rossi,

Terzi

2022

Front. Manuf. Technol.

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Nowadays, the diffusion of digital and industry 4.0 (I4.0) technologies is affecting the manufacturing sector with a twofold effect. While on one side it represents the boost fastening the competitive advantage of companies, on the other hand it is often accompanied by several challenges that companies need to face. Among all, companies are required to invest in technologies to empower their production activities on the shopfloor without lagging behind their workforce in order to undertake a linear, aware, and structured path toward digitization. The extant literature presents some research conducted to support companies toward digitization, and they usually rely on maturity models in this intention. Nevertheless, few studies included the assessment of workforce skills and competencies in the overall assessment, and in this case, they provide a high level perspective of the investigation, mainly based on check lists which may limit the objectivity of the assessment, and usually they do not customize the assessment based on companies’ requirements. Therefore, considering the importance to balance investments in technologies with those in the workforce to move toward the same direction, this contribution aims to develop a structured, customizable, and objective skill assessment model. With this intention, it has been first clarified the set of job profiles required in I4.0, together with the needed related skills based on the extant literature findings; second, it has been identified the set of key criteria to be considered while performing the assessment of the workforce; third, it has been defined the method to be integrated in the maturity model to enable the initial setting of the weights of the criteria identified according to the company needs; and fourth, based on these findings, it has been developed the assessment model. The developed model facilitates the elaboration of the proper workforce improvement plans to be put in practice to support the improvement of the skills of the whole workforce based on company’s needs.

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Section: Skills Assessment Methods Reviewmentioning

confidence: 99%

Identifying and Assessing the Required I4.0 Skills for Manufacturing Companies’ Workforce

Acerbi,

Rossi,

Terzi

2022

Front. Manuf. Technol.

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“…Therefore, proper maintenance must assign the right people to the right position based on their skills and domains of expertise. Topic 6 covered papers proposing methods for performance evaluation in industrial maintenance ( [80][81][82][83][84]). Some identified and analysed criteria for enhancing the quality of maintenance activities.…”

Section: Topic 6: Assessing Skills and Competencies Of Maintenance Op...mentioning

confidence: 99%

“…Reference [80] proposed an equation to evaluate the amount of unreadable sentences in aircraft maintenance technical orders since their readability can affect the quality and reliability of aircraft maintenance. Reference [81] proposed a performance evaluation model for aircraft maintenance staff, exploring the weights of different evaluation criteria (Basic Knowledge, Aircraft Maintenance Workload, Other Workload, Self-Development, Problem-Solving Skill, Problem-Solving Attitude, Responsibility, Teamwork, Work Quality, Reliability, and Attendance Rate), whereas Reference [83] proposed a competence measurement tool to assess the competency of maintenance employees, instead research modelling of plant operators' maintenance proficiency was addressed by Reference [84] to provide a classification tool to assist managers to select the best operative. In particular, three models were compared based on their robustness, efficiency, and validity, identifying the most efficient model that used the attributes of years of relevant working experience on the machine, personal disposition, and operator reliability.…”

Section: Topic 6: Assessing Skills and Competencies Of Maintenance Op...mentioning

confidence: 99%

The Role of Maintenance Operator in Industrial Manufacturing Systems: Research Topics and Trends

et al. 2021

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Maintenance contributes to gaining high business performance, guarantees system availability and reliability as well as safe and sustainable operations. Maintenance activity effectiveness depends on competences and the skills of operators whose performance strongly affects maintenance and production operations. The research field of human issues in industrial maintenance was deeply addressed in the literature; however, the current industrial paradigm, which focusses on the integration of new technologies in conventional manufacturing operations to support human performance, sheds light on new challenges for enterprises and opportunities for research in this field. While some literature reviews in the field of human errors and human factors are available, no study investigated the main topics, research trends and challenges related to the role of maintenance operators in manufacturing systems. This paper addresses the current state-of-the-art role of maintenance operators in manufacturing systems, providing an overview of the main studies. A systematic literature review was carried out to identify significant papers. Then, a topic modelling algorithm was used to detect the main topics of the selected papers to provide the research trends of the subject. The identified topics provided interesting research insights on the human role in industrial maintenance. Research trends and further research opportunities were defined.

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“…According to Nonaka and Takeuchi [13], [14], [9], there are four modes of knowledge conversion from one category to another as shown in Figure 2. The modes of knowledge conversion in the same category or to another are: − Socialization: Which represents the mode of transition from one state to another of tacit knowledge [15]. This is achieved for example, when sharing experiences between human actors through the observation and reproduction of practices such as maintenance practices.…”

Section: Introductionmentioning

confidence: 99%

An approach of ontology and knowledge base for railway maintenance

Ragala

Retbi

Bennani

2023

IJECE

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<p>Maintenance methods have become automated and innovative, especially with the transition to maintenance 4.0. However, social issues such as coronavirus disease of 2019 (COVID-19) and the war in Ukraine have caused significant departures of maintenance experts, resulting in the loss of enormous know-how. As part of this work, we will propose a solution by exploring the knowledge and expertise of these experts for the purpose of sharing and conservation. In this perspective, we have built a knowledge base based on experience and feedback. The proposed method illustrates a case study based on the single excitation configuration interaction (SECI) method to optimally capture the explicit and tacit knowledge of each technician, as well as the theoretical basis, the model of Nonaka and Takeuchi.</p>

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Characteristic and Competency Measurement Instrument Development for Maintenance Staff of Mechanical Expertise with SECI Method: A Case of Manufacturing Company

Cited by 6 publications

References 2 publications

Identifying and Assessing the Required I4.0 Skills for Manufacturing Companies’ Workforce

Identifying and Assessing the Required I4.0 Skills for Manufacturing Companies’ Workforce

The Role of Maintenance Operator in Industrial Manufacturing Systems: Research Topics and Trends

An approach of ontology and knowledge base for railway maintenance

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