應用系統模擬探討派工法則之績效-以馬達裝配線為例

Using System Simulation for Research of Dispatching Rules - Case Study of Motor Assembly Line

陳思丞(Sih-Cheng Chen)

指導教授 ： 周永燦

中原大學/電機資訊學院/工業與系統工程研究所/碩士(2021年)

https://doi.org/10.6840/cycu202100078

摘要

隨著環保意識抬頭，越來越多人捨棄以化石燃料(包括汽油、液化石油和柴油)為動力源的交通工具，轉而使用能改善空氣汙染且節能減碳的電動代步工具，因此在近幾年電動車和電動代步車日益增加，這也使馬達產業面臨了相當大的困境。訂單數量大幅度增加，導致供需不平衡，需求量大於供給量，進而影響產品交貨時間，因此如何將大量訂單有效地派工給機台，彈性地製造不同產品，達到準時交貨已成為重要的課題。
在生產過程中，派工法則佔有非常重要的地位，這些法則決定產品進入機台時的先後順序，傳統派工方式大部分依其過去經驗或依照現場資訊來做決策，造成有些訂單無法在預計交貨時間內完成，使公司損失慘重。本研究目的為應用系統模擬比較不同派工法則，找出最適合的法則來提高訂單達交率。
本研究以電動車用直流馬達產線為例，將先進先出法(First In First Out, FIFO)、最短加工時間法(Shortest Processing Time, SPT)、最早交期法(Earliest due date, EDD)三種派工法則投入系統模擬軟體FlexSim建構之模型中，依據訂單達交率及平均延遲時間來比較投入不同派工法則所得到的結果，再探討派工法則對於有延遲情形的排程結果，進一步進行加班指派，最後經由模擬出來的資料做假設檢定，結果顯示這些情境皆可供個案公司參考使用。

關鍵字

派工法則 ； 系統模擬 ； FlexSim

並列摘要

With the rising awareness of environmental protection, more and more people are abandoning vehicles that use fossil fuels (including gasoline, liquefied petroleum, and diesel) as their power sources, and instead use electric vehicles that can improve air pollution and reduce carbon emissions. Therefore, in recent years, electric vehicles and electric scooters have gradually become popular, which has also caused the motor industry to face a considerable dilemma. The number of orders has increased significantly, resulting in an imbalance between supply and demand, and the demand is greater than the supply, which affects the product delivery time. Therefore, how to effectively dispatch a large number of orders to the machine, flexibly manufacture different products, and achieve on-time delivery is still challenging research.
In the production process, dispatching rules occupies a very important position. The rules determine the sequence of products when they enter the machine. The traditional dispatching methods mostly make decisions according to their experience or on-site information, resulting in some orders cannot be completed within a estimated delivery time, which makes the company suffer heavy losses. Therefore, the purpose of this research is to use system simulation to compare different dispatching rules and find the most suitable rule to improve the order fulfillment rate.
This research takes the production line of DC motors for electric vehicles as a case study, conducts data collection and process observation. The system simulation software FlexSim is used to construct a production model, Incorporate the three dispatching rules of First In First Out (FIFO), Shortest Processing Time (SPT), and Earliest Due Date (EDD) into the model constructed by the system simulation software FlexSim. According to the order fulfillment rate and the average delay time to compare the results obtained by investing in different dispatching rules. Re-discuss the dispatching rules for the scheduling results of delayed situations, further assign overtime work, and finally conduct a hypothesis test based on the simulated data. The results show that these scenarios can be used for reference by the case company.

並列關鍵字

Dispatching Rules ； System Simulation ； FlexSim

參考文獻

參考文獻

英文文獻

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