American Society of Civil Engineers


Analysis on Optimized Scheduling of 4S Auto Dealership


by Xi Zhao, (Undergraduate of Commercial College of Sichuan Normal University. E-mail: huanshuizhidian@sina.com), Bo Tu, (Undergraduate of Computer Technic College of Sichuan Normal University. E-mail: 297004457@qq.com), and Yiting Liu, (Undergraduate of Commercial College of Sichuan Normal University. E-mail: yvettysmile@sina.com)
Section: Volume IV - System Optimization and Simulation Models, pp. 3233-3240, (doi:  http://dx.doi.org/10.1061/41139(387)451)

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Document type: Conference Proceeding Paper
Part of: ICLEM 2010: Logistics For Sustained Economic Development: Infrastructure, Information, Integration
Abstract: Scheduling deals with the allocation of scarce resources to tasks over time. It is a decision-making process with the goal of optimizing one or more objectives. Now scheduling in a 4S auto dealership is by experience and lack of scientific planning. It results in a long-time wait of customers and lower capacity utilization. This paper presents a solution to the problem. At first, optimization scheduling methods are built on the basis of analysis of the scheduling objectives, machines surroundings, working characteristics, and relevant constraints, and so on. Then the scheduling algorithm for this problem is designed. It is based on decomposition methods and constraint-guided heuristic algorithm. The example shows that the algorithm is feasible, and simulation results demonstrate the algorithm used to optimize the objective function is superior.


ASCE Subject Headings:
Optimization
Scheduling
Resource allocation
Logistics