無人搬運車多車派工系統模擬與分析

Simulation Modeling and Analysis of Multiple Automated Guided Vehicle Dispatching System

彭文杰(Peng, Wen Chieh)

指導教授 ： 陳建良

國立清華大學/工學院/工業工程與工程管理學系/碩士(2015年)

摘要

自動化無人搬運車運載系統，存在多種運載路徑設計以及派工邏輯設計的問題，如何設計最適的自動化無人搬運車系統，藉以導入現場提高產能、減輕人員負擔，此為許多現場決策者推行自動化時所遭遇之瓶頸。本研究為一實際案例之應用延伸，在限定AGV數量與跨潔淨區的限制條件下，進行自動化無人搬運車系統之設計與分析。透過創造不同的路徑規劃與派工邏輯，為運載系統創造更大的彈性與績效表現。最後利用模擬軟體 “FlexSim”進行運載系統之構建，透過模擬協助分析系統。實驗設計為本研究中主要的分析方法，設定可控因子為：路徑設計模式、工作站生產速率、AGV車速以及派工邏輯；其中，共有三種路徑設計、三種派工邏輯可進行比較。設定關鍵績效指標為：系統單位時間產出、車輛平均等待時間、系統鎖死比率與在製品存貨水準等四項。透過實驗設計找出各因子與績效指標之關係，同時找出各績效指標之最適因子組合，用以協助現場人員進行決策，並可了解導入系統後之現場狀況。此一進程，可視為一套標準流程，希望藉由此種流程，來降低決策人員導入自動化無人搬運車系統之風險，並且針對不同的現場找到最佳的配置組合。
關

關鍵字

模擬分析 ； 自動化無人搬運車 ； 派工系統 ； 實驗設計

並列摘要

Automated Guide Vehicle system is a common automated transportation system in factory. There are two main issues need to consider when we want to import AGV system to factory, which is layout and dispatching rule design. We are interested how to design a most suitable AGV system for the site, in order to raise the output or decrease the loading for human resource. This study is a extend research from a real one case, and there are two restrictions, the fleet size of AGV was limited as four, and product transport needs to crossover cleanroom and normal area. We design and analyze AGV system under these two restrictions. Finally, we use the simulation software “FlexSim” to construct the simulation model; meanwhile the simulation model can help to do the analysis. Design of experiment (DOE) is a main method to analyze data in this research. There are four controllable factors layout design, machine production rate, speed of AGV and dispatching rule. Key performance indicators (KPIs) include output per shift, average stay time, machine block rate and WIP level. By using DOE, we can find out the relationship between factors and response variables, furthermore, the best combination of factors for each KPI can get in same time. After the analysis for the AGV system, it helps people who need to make the decision of build AGV system in factory. This kind of procedure can become a standard operation process for importing AGV system. We hope this procedure can decrease the risk for people when construct AGV system in factory, and people can get the optimal combination for different factories.

並列關鍵字

Simulation modeling and analyze ； automated guided vehicle ； dispatching rule ； design of experiment

參考文獻

Bartholdi III, J. J., & Platzman, L. K. (1989). Decentralized control of automated guided vehicles on a simple loop. IIE transactions, 21(1), pp. 76-81.

Bozer, Y. A., & Srinivasan, M. M. (1991). Tandem configurations for automated guided vehicle systems and the analysis of single vehicle loops. IIE transactions, 23(1), pp. 72-82.

De Koster, R., Le-Anh, T., & van der Meer, J. R. (2004). Testing and classifying vehicle dispatching rules in three real-world settings. Journal of Operations Management, 22(4), pp. 369-386.

Derringer, G., & Suich, R. (1980). Simultaneous Optimization of Several Response Variables. Journal of Quality Technology, 12(4), pp. 214-219.

Egbelu, P. J., & Tanchoco, J. (1984). Characterization of automatic guided vehicle dispatching rules. The International Journal of Production Research, 22(3), pp. 359-374.