以新型規劃法與可變空間理論評估人機協作對於汽車裝配工廠產能與利潤最佳化

Evaluating in Human-Robot Collaboration for Automotive Assembly Plant Capacity and Profit Optimization Based on the De Novo Programming and Changeable Space Theory

沈時慶(Shen Shih-Ching)

指導教授 ： 李景峰

國立臺灣師範大學/科技與工程學院/工業教育學系/碩士(2018年)

https://doi.org/10.6345/THE.NTNU.DIE.048.2018.E01

摘要

摘要
近年來隨著全球人口老化問題日益嚴重以及人事成本持續增長，造成勞動市場人力短缺、生產製造成本持續上升。為了解決缺工問題、提升生產製造效率並且降低成本，全球製造業者紛紛加速導入高度自動化生產模式並朝向工業4.0之智慧工廠領域發展以達成產能與利潤最佳化，而智慧型機器人是實現智慧工廠的重要元素之一。雖然汽車裝配工業是目前機器人自動化應用最為廣泛的領域，然而隨著生產製造流程日益複雜以及市場上少量多樣化的生產製造模式需求，再加上工業4.0之智慧製造的趨勢已形成，傳統機器人已漸漸無法符合當前彈性製造的需求，因此人類與機器人能在共同空間合作完成更複雜的生產流程需求已形成帶動人機協作於智慧製造發展的重要趨勢。基於安全規範考量因素，傳統工業機器人必須使用安全防護圍籬與人隔離且傳統機器人需要繁雜的編程與設定，能夠做的也只是既定程序之內高重複度簡單的工作，且生產線一旦需要變動所需付出的產線重新配置及規劃費用相當高昂，為了有效解決汽車生產線目前所面臨的產線最佳化問題，並協助汽車裝配產線成功轉型到全面智慧製造的生產模式，本研究擬以新型規劃法(De Novo programming)與可變空間理論(Changeable Space Theory)評估人機協作對於提升生產效率與利潤最佳化之分析，本研究結果將可作為汽車製造業評估導入自動化之人機協作的效益以達成產能與利潤最佳化。
關鍵字 : 工業4.0、人機協作、智慧製造、自動化生產、工業機器人、
De Novo 規劃法、可變空間理論

關鍵字

工業4.0 ； 人機協作 ； 智慧製造 ； 自動化生產 ； 工業機器人 ； De Novo 規劃法 ； 可變空間理論

並列摘要

Abstract
Along with labor cost continue growing as well as global population aging issue, cause labor shortage and rising production costs issue. In order to improve production efficiency and cost reduction, global manufacturers have accelerated the introduction of automated production processes to achieve capacity and profit optimization. The intelligent robot is one of the important elements to achieve high degree of automation. The automotive industry is currently the most widely used of robot automation applications. However, the increasingly complex production processes and a small number of diversified manufacturing model needs, as well as the industry 4.0 wisdom manufacturing trend has been formed, traditional robots unable to meet the current demand for flexible manufacturing. Thus, human and robots can work together in a common space to complete more complex production process have led to the development of human-robot collaboration in the wisdom of the development of an important trend. For safety consideration, traditional robot must be worked with safety fence environment and the traditional robot needs to set with complicated programming that only possible to for high repeatability and simple work within the established procedure. Traditional robots have been unable to meet the current demand for flexible manufacturing, thus, human and robots collaboration has been become an important trend.
Keywords: Industrial 4.0、Human-Robot collaboration、Smart manufacturing、Industrial robot、De Novo Programming、Changeable Space Theory.

並列關鍵字

Industrial 4.0 ； Human-Robot collaboration ； Smart manufacturing ； Industrial robot ； De Novo Programming ； Changeable Space Theory

參考文獻

Reference

Agnetis, A., Pacifici, A., Rossi, F., Lucertini, M., Nicoletti, S., Nicolo, F., . . . Pesaro, E. (1997). Scheduling of flexible flow lines in an automobile assembly plant. European Journal of Operational Research, 97(2), 348-362.

AlGeddawy, T. (2017). A New Model of Modular Automation Programming in Changeable Manufacturing Systems. Procedia Manufacturing, 11, 198-206.

Berman, O., Ganz, Z., & Wagner, J. M. (1994). A stochastic optimization model for planning capacity expansion in a service industry under uncertain demand. Naval Research Logistics (NRL), 41(4), 545-564.

Bortolini, M., Ferrari, E., Gamberi, M., Pilati, F., & Faccio, M. (2017). Assembly system design in the Industry 4.0 era: a general framework. IFAC-PapersOnLine, 50(1), 5700-5705.