Podrobná bibliografia
| Názov: |
Joint Scheduling of Production and Condition‐Based Maintenance Activities for Make‐To‐Order Deteriorating Manufacturing Systems Under Repairmen Constraint. |
| Autori: |
Qiu, Siqi1 (AUTHOR) siqiqiu@sjtu.edu.cn, Tu, Danhong2 (AUTHOR), Sallak, Mohamed3 (AUTHOR) |
| Zdroj: |
Naval Research Logistics. Oct2025, p1. 23p. 12 Illustrations. |
| Predmety: |
*PRODUCTION scheduling, *MATHEMATICAL optimization, *COST control, *SKILLED labor, *MANUFACTURING processes, CONDITION-based maintenance, DETERIORATION of materials |
| Abstrakt: |
ABSTRACT For a make‐to‐order manufacturing system, randomly fluctuating customer orders determine its production planning, and further influence the deterioration of machines in the manufacturing system. Maintenance activities are then conducted to recover machines to a better status by a limited number of repairmen with different skill levels. Production and maintenance are two conflicting activities for manufacturing systems, and they need to be jointly optimized to attain the global optimum. However, the joint optimization of production and maintenance for manufacturing systems considering randomly fluctuating customer orders with repairman constraints has not been studied yet. In this work, first, the reliability of production machines and a group maintenance model of the manufacturing system considering limited repairmen with different skill levels are constructed. Second, the production plan is first made according to the predicted customer orders and then updated by considering the influence of maintenance with limited repairmen. Third, the production plan and maintenance schedule are jointly optimized to minimize the entire operation and maintenance costs. Finally, the proposed method is applied to a real‐world make‐to‐order manufacturing system of the shell of an air‐conditioning compressor to prove its feasibility. [ABSTRACT FROM AUTHOR] |
|
Copyright of Naval Research Logistics is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) |
| Databáza: |
Business Source Index |