Knowledge Management for Maintenance Activities in the Manufacturing Sector

Mansor, M. A.; Ohsato, A.; Sulaiman, Shamsuddin

doi:10.15282/ijame.5.2012.7.0048

Cited by 18 publications

(11 citation statements)

References 7 publications

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“…A proper intelligent approach was utilized by [13][14][15] in a fault diagnosis of spark plugs in internal combustion engines based on acoustic and vibration signals through using sensor fusion and classifier combination. A knowledge-based approach as presented by [16,17] was used to develop an inspection process based on observations of the propagation of thermal waves. It is posited as a highly reliable method for checking cracks, which is crucial for defect-free production.…”

Section: Introductionmentioning

confidence: 99%

Classification of crankshaft remanufacturing using Mahalanobis-Taguchi system

Abu

Jamaluddin

Zakaria

2022

Int. J. Automot. Mech. Eng.

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Remanufacturing is a process of returning a used product to at least its original performance with a warranty that is equivalent or better than that of a newly manufactured product. During a preliminary inspection on remanufacturing companies, it was found that there is no end life for crankshafts in terms of classifying it either to remanufacture, repair or reject due to limited information provided by the original equipment manufacturer. The manufacturer did not provide any information on the annual quantity produced and their specifications to the remanufacturing company for the purpose of referencing. Eventually, the distinctiveness of the remanufactured crankshaft from the original cannot be measured. Thus, the aim of this work is to classify crankshafts' end life into recovery operations based on the Mahalanobis-Taguchi System. The crankpin diameter of six engine models were measured in order to develop a scale that represents their population in a scatter diagram. It was found that on the diagram of each engine model, the left distributions from the center point belong to rejected crankshafts, the right distributions belong to re-manufacturable crankshafts, and the upper distributions belong to the repairable crankshafts. The developed scale is believed to be able to help remanufacturers instantaneously identify and match any unknown model crankshafts to its right category. The Ministry of International Trade & Industry (MITI) has established a remanufacturing policy under RMK11 and put in efforts to encourage Malaysians to venture into the remanufacturing business. Thus, this model will help the industry to understand and formulate their decision-making to sustain the end of life of their products.

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Section: Introductionmentioning

confidence: 99%

Classification of crankshaft remanufacturing using Mahalanobis-Taguchi system

Abu

Jamaluddin

Zakaria

2022

Int. J. Automot. Mech. Eng.

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“…Manufacturing and automotive industries are also important in many countries, with their respective share of the business in the spare-parts area. This importance results in strong efforts to achieve a better understanding and their consequent improvements in several areas within the manufacturing and automotive sectors, such as the implementation of quality management systems at different levels [3], surveys on lean manufacturing implementation [4], analysis on the influence of the environmental factors in the automotive production processes [5], and even proposals on maintenance management in the sector [6]. Spare parts can be considered as an important business area, with sales revenues ranging from 3.5 to 35%, as found by [7], while studying 7 firms in the engineering industry.…”

Section: Introductionmentioning

confidence: 99%

Automobile spare-parts forecasting: A comparative study of time series methods

Vargas¹,

Cortés²

2017

Int. J. Automot. Mech. Eng.

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In Mexico, the automotive industry is considered to be strategic in the industrial and economic development of the country because it generates production, employment and foreign exchange. Good demand forecasts are needed for better manufacturing management. The time series modelling tools applied to the monthly demand forecasting of automobile spare parts in Mexico are assessed, for the case of a transnational enterprise, considering affordability. The classic methods of moving averages, final value and exponential smoothing, the prestigious autoregressive integrated models of moving averages (ARIMA), the rarely implemented artificial neural networks (ANNs) and the very little explored ARIMA-ANNs hybrid models are compared. A good performance of the models involving ANNs is observed, but they were not as steady as the ARIMA models in the post-sample periods. The mean absolute percentage error (MAPE) was reduced from an original 57% to 32.65%. The obtained results could help demonstrate the importance of improving industrial forecasting methodologies for better planning.

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“…Because it is impossible to get accurate results in the measurement of maintenance performance without having accurate information, knowledge management is crucial [9]. Luxhøj et al [16] reviewed the relationship between maintenance improvement and organisational learning.…”

Section: Dependability Improvement Through Knowledge Managementmentioning

confidence: 99%

“…Horiguchi et al [21] presented a new concept of the knowledge management framework for sharing technical know-how in an engineering community, using latent connections among technical keywords to search work reports for relevant references. Mansor et al [9] proposed a knowledge repository or warehouse for maintenance activities consisting of four elements: best practice, databases, discussion forums and assessment tools.…”

Section: Dependability Improvement Through Knowledge Managementmentioning

confidence: 99%

“…Iacono et al [8] explored the relationship between the design of inter-organisational connections, processes of knowledge creation and transfer, and innovation in a medium-large Italian company in the rail industry sector and compared these to a research consortium. The found that better efficiency of maintenance activities can be achieved by taking advantage of the available maintenance knowledge, thus contributing to time and costs savings [9].…”

Section: Introductionmentioning

confidence: 99%

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Knowledge Management in a Railway Network: The Case of Signalling Systems

Morant¹,

Westerberg²,

Larsson-Kråik³

Proceedings of the Second International Conference on Railway Technology: Research, Development and Maintenance

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The railway network is a complex system with several technologies and a multitude of stakeholders working together to solve problems created by the increasing demands on capacity, speed and mobility for the transportation of goods and passengers. However, the presence of many different stakeholders complicates knowledge management and transfer. The purpose of this paper is to analyse the potential for improving inter-organisational knowledge management in the maintenance of railway signalling systems and make concrete suggestions for improvements. Even if information logistics processes can disseminate explicit knowledge on the maintenance of railway signalling systems, they cannot handle the tacit knowledge transfer that often is crucial. The study finds considerable potential for improving the knowledge management process. It suggests possible measures and makes suggestions for future studies.

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Knowledge Management for Maintenance Activities in the Manufacturing Sector

Cited by 18 publications

References 7 publications

Classification of crankshaft remanufacturing using Mahalanobis-Taguchi system

Classification of crankshaft remanufacturing using Mahalanobis-Taguchi system

Automobile spare-parts forecasting: A comparative study of time series methods

Knowledge Management in a Railway Network: The Case of Signalling Systems

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