Real-Time Scheduling of Bottleneck Procedure in Auto Maintenance Workshop
Real-time Now scheduling in an auto maintenance workshop is by experience and lack of scientific planning. It results in a longer wait for customers and lower capacity utilization. To solve this problem, based on the scheduling theory and the theory of constraints, a study on the property, model, and algorithms of the actual questions are done and an on-line scheduling strategy is put forward. Firstly, it analyzes the characteristics of the problem from the minimization objective, the machine environment, processing characteristics and constraints, and then establishes the corresponding mathematical model. Secondly, according to characteristics of a problem, it designs the heuristic scheduling algorithms with composite dynamic dispatching rules. Finally, it verifies the feasibility of the algorithm by a case study, and the simulation results demonstrate the advantages and the feasibility of computing time on the algorithm which is used to optimize the objective function value.
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Availability:
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Supplemental Notes:
- © 2010 American Society of Civil Engineers.
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Corporate Authors:
American Society of Civil Engineers
1801 Alexander Bell Drive
Reston, VA United States 20191-4400 -
Authors:
- Yang, Qin
- Zhao, Xi
- Li, Yanru
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Conference:
- International Conference of Logistics Engineering and Management (ICLEM) 2010
- Location: Chengdu , China
- Date: 2010-10-8 to 2010-10-10
- Publication Date: 2010-9
Language
- English
Media Info
- Media Type: Web
- Features: References;
- Pagination: pp 3241-3247
- Monograph Title: ICLEM 2010: Logistics For Sustained Economic Development: Infrastructure, Information, Integration
Subject/Index Terms
- TRT Terms: Automobiles; Dispatching; Logistics; Maintenance; Resource allocation; Scheduling
- Subject Areas: Freight Transportation; Planning and Forecasting; I72: Traffic and Transport Planning;
Filing Info
- Accession Number: 01525756
- Record Type: Publication
- ISBN: 9780784411391
- Files: TRIS, ASCE
- Created Date: May 28 2014 3:21PM