AI SearchImprovement of maintenance system in a pulp and paper mill
Call Number: AIT RSPR no. IE-86-1 Material type:
SeriesSeries: Asian Institute of Technology. Research studies project report ; no. IE-86-1Publication details: Bangkok : Asian Institute of Technology, 1986Description: 65 pSubject(s): Online resources: Dissertation note: Research Studies Project Report (M. Eng.) - Asian Institute of Technology, 1986 Summary: This paper reports on a study done on the maintenance system of an integrated pulp and paper mill. An investigation of the major causes of machine breakdowns and their possible prevention was conducted using a simplified version of the snap-shot model ling technique. A maintenance-by-priority system was formulated establishing machine criticality indices. Finally, three preven tive maintenance policies, formulated on the basis of limiting efficiency and long run expected cost per unit time, were utilized. The selection of the optimal preventive maintenance policy for each of the six machine groups considered in the study was under taken
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Asian Institute of Technology Library AIT Publications | AIT RSPR no. IE-86-1 (Browse shelf(Opens below)) | 1 | Available | 30050002948544 | |||||||||||||
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Asian Institute of Technology Library AIT Publications | AIT RSPR no. IE-86-1 (Browse shelf(Opens below)) | 2 | Available | 30050003110862 | |||||||||||||
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Asian Institute of Technology Library Archives | AIT RSPR no. IE-86-1 (Browse shelf(Opens below)) | Available | 30050160109632 |
A research study submitted in partial fulfilment of the requirements for the degree of Master of Engineering, School of Engineering and Technology
Research Studies Project Report (M. Eng.) - Asian Institute of Technology, 1986
This paper reports on a study done on the maintenance system of an integrated pulp and paper mill. An investigation of the major causes of machine breakdowns and their possible prevention was conducted using a simplified version of the snap-shot model ling technique. A maintenance-by-priority system was formulated establishing machine criticality indices. Finally, three preven tive maintenance policies, formulated on the basis of limiting efficiency and long run expected cost per unit time, were utilized. The selection of the optimal preventive maintenance policy for each of the six machine groups considered in the study was under taken
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