نتایج جستجو برای: Maintenance management

تعداد نتایج: 980451  

Journal: :journal of industrial engineering, international 2011
r ahmad s kamaruddin i azid i almanar

in industries, preventive maintenance (pm) is not a new practice to minimise the sudden breakdown of production machine. pm will be performed at predetermine intervals to provide a balance between failure cost and component utilisation (aging). however, most of pm interval is based on experience or original equipment manufacturer (oem) recommendations. consequently, the benefits from pm are not...

I Almanar I Azid R Ahmad S Kamaruddin

In industries, Preventive Maintenance (PM) is not a new practice to minimise the sudden breakdown of production machine. PM will be performed at predetermine intervals to provide a balance between failure cost and component utilisation (aging). However, most of PM interval is based on experience or original equipment manufacturer (OEM) recommendations. Consequently, the benefits from PM are not...

2013
Ali Rastegari Antti Salonen

In recent decades, by introducing lean manufacturing the vulnerability to system disturbances has increased and so, the demand for dependable production equipment. The need for having high production equipment availability causes companies to need a more effective and efficient maintenance strategy in order to stay competitive. Despite the increasing demand on reliable production equipment, few...

Journal: :international journal of hematology-oncology and stem cell research 0
thomas büchner university hospital, dept. of medicine, hematology and oncology, albert- schweitzer-str. 33, d-48129 münster wolfgang hiddemann university hospital, dept. of medicine, hematology and oncology, albert- schweitzer-str. 33, d-48129 münster wolfgang e berdel university hospital, dept. of medicine, hematology and oncology, albert- schweitzer-str. 33, d-48129 münster bernhard wörmann university hospital, dept. of medicine, hematology and oncology, albert- schweitzer-str. 33, d-48129 münster helmut löffler university hospital, dept. of medicine, hematology and oncology, albert- schweitzer-str. 33, d-48129 münster claudia schoch university hospital, dept. of medicine, hematology and oncology, albert- schweitzer-str. 33, d-48129 münster

maintenance treatment for patients with acute myeloid leukemia (aml) in remission has recently been controversially discussed and even abandoned by several groups. an analysis of 16 published multicenter trials, however, revealed the highest probabilities of relapse free survival (rfs) in the range of 35-42 % at 4-5 years only in patients assigned to maintenance treatment when adult age and int...

Aims: The present study aimed to investigate the relationship between self-efficacy, decision-making balance, and change processes with stress management in middle-aged women. Instrument & Methods: This cross-sectional study was performed in 2019 on 600 middle-aged women covered by Bushehr Comprehensive Health Services Centers. The method of sampling was stratified. Data was gathered by demogr...

Journal: :International Journal of Production Economics 2020

Journal: :Journal of the Japan Society for Precision Engineering 1999

Journal: :International Journal of Engineering Applied Sciences and Technology 2020

2003
Volkmar Pipek Volker Wulf

The Answer Garden supports knowledge sharing in two intertwined ways: by making relevant information retrievable and by mediating access to people with knowledge. We present a case study in which the Answer Garden approach was applied to encourage knowledge sharing in maintenance engineering of a steel mill. The results show that the sheer amount of drawings and the long history of changing cla...

C. S. Nwaouzru O. E. Charles-Owaba V. O. Oladokun

This study shows the usefulness of Artificial Neural Network (ANN) in maintenance planning and man-agement. An ANN model based on the multi-layer perceptron having three hidden layers and four processing elements per layer was built to predict the expected downtime resulting from a breakdown or a maintenance activity. The model achieved an accuracy of over 70% in predicting the expected downtime.

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