DocumentCode
3472633
Title
Simulation and Optimization Research on Good-sized Auto Fitting Production-Inventory System
Author
Wang, Xuping ; Zhao, Hai ; Shang, Hongyan
Author_Institution
Dalian Univ. of Technol., Dalian
fYear
2007
fDate
18-21 Aug. 2007
Firstpage
1347
Lastpage
1352
Abstract
Good-sized auto fittings production-Inventory system has following drawbacks: overfilled warehouse, low efficiency of supply chain management and high logistics cost such as holding cost, ordering cost and so on. To solve these problems, this paper proposes a new simulation model and a new optimization model. Then the optimization model calculates the value of adaptive function by running the simulation model, outputting of which is controlled by these decision-making variables: products´ safety stocks, material ordering batch and controlling strategy of the system´s productivity. Finally, a case is designed. Running the simulation model and optimization model for three days, we get optimal solution of this case. Comparison between enterprise data and result of the case validates the simulation and optimization model. The model proposed in this paper can help third party logistics for auto business to lower logistics cost.
Keywords
automobile industry; cost reduction; decision making; fitting (assembly); order processing; supply chain management; warehousing; decision-making variables; good-sized auto fitting production-inventory system; logistics cost; material ordering batch; optimization model; productivity; products safety stocks; supply chain management; warehouse; Analytical models; Cost function; Design optimization; Fitting; Logistics; Machining; Material storage; Modeling; Productivity; Resource management; Good-sized Auto Fittings; Optimization Function; Resources Allocation; Simulation and Optimization;
fLanguage
English
Publisher
ieee
Conference_Titel
Automation and Logistics, 2007 IEEE International Conference on
Conference_Location
Jinan
Print_ISBN
978-1-4244-1531-1
Type
conf
DOI
10.1109/ICAL.2007.4338779
Filename
4338779
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