Research of Port Machinery’s Maintenance Scheduling Based on Service Age with Multiple Maintenance Modes Concern
Science Innovation
Volume 5, Issue 1, February 2017, Pages: 63-69
Received: Mar. 13, 2017; Published: Mar. 15, 2017
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Authors
Xiaowei Shi, Logistics Engineering College, Shanghai Maritime University, Shanghai, China
Huipeng Song, Logistics Engineering College, Shanghai Maritime University, Shanghai, China
Danping Lin, Logistics Engineering College, Shanghai Maritime University, Shanghai, China
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Abstract
Equipment management is important for enterprise management, and maintenance management for the equipment is the core of equipment management. In the equipment-intensive port enterprises, the efficiency of equipment maintenance and management of port machinery directly affects the fluency of port operations, which becomes an important indicator of port competition. Among the current maintenance management theories, the reliability-centered theory is attracting more and more attention. In practical decision, in order to reasonably arrange the maintenance and lessen the number of equipment’s downtime, we plan to use different maintenance modes for equipment maintenance. In this paper, we propose multi-mode maintenance for the port equipment based on the service-age analysis. According to the workload of the port machinary, the maintenance mode is selected rationally to minimize the total maintenance cost as well as satisfy the operation capacity of the port. The total maintenance cost includes the preventive maintenance cost, repair cost and replacement cost. In this paper, the model is solved by enumeration method, and the optimal solution is obtained. In addition, the model is tested by several numerical examples.
Keywords
Service-Age Analysis, Multiple Maintenance Modes, Failure Rate
To cite this article
Xiaowei Shi, Huipeng Song, Danping Lin, Research of Port Machinery’s Maintenance Scheduling Based on Service Age with Multiple Maintenance Modes Concern, Science Innovation. Vol. 5, No. 1, 2017, pp. 63-69. doi: 10.11648/j.si.20170501.21
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