Analysis of repairable-items inventory systems using graphical evaluation and review technique (GERT)
Call Number: AIT RSPR no. IE-83-11 Material type:
SeriesSeries: Research Studies Project Report ; no. IE-83-11 | Asian Institute of Technology. Research studies project report ; no. IE-83-11Publication details: Bangkok : Asian Institute of Technology, 1983Description: iv, 65 pSubject(s): Online resources: Dissertation note: Research Studies Project Report (M. Eng.) - Asian Institute of Technology, 1983 Summary: In many inventory systems , the capital tied-u p in repairable items constitutes a significant portion of the total inventory stocking cost. This study develops some selected inventory models for both consumable and repairable items using Graphical Evaluation and Review Technique (GERT). Various measures of performance are determined 011 the repairable item inventory model for reorder point-order quantity (r, Q) policy. The model allows for random demand, random repair time , random lead time and random order size .
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Asian Institute of Technology Library AIT Publications | AIT RSPR no. IE-83-11 (Browse shelf(Opens below)) | 2 | Available | 30050003128252 | |||||||||||||
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Asian Institute of Technology Library Archives | AIT RSPR no. IE-83-11 (Browse shelf(Opens below)) | 1 | Available | 30050160110192 |
A research study submitted in partial fulfillment 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, 1983
In many inventory systems , the capital tied-u p in repairable items constitutes a significant portion of the total inventory stocking cost. This study develops some selected inventory models for both consumable and repairable items using Graphical Evaluation and Review Technique (GERT). Various measures of performance are determined 011 the repairable item inventory model for reorder point-order quantity (r, Q) policy. The model allows for random demand, random repair time , random lead time and random order size .
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