產能規劃作為生產管理經典的研究議題，連動前端物料規劃、需求管理及後方製造現場如何進行有效投料、生產與輸出，因此良好的執行產能規劃對企業在掌握己身之經營策略，保有市場競爭力上都有密不可分的關係，這也促使多年來產官學界對產能規劃議題之研究蓬勃發展，以因應當代需求多變、數位成熟、產品複雜化等產業環境與銷售型態。產能規劃涵蓋內容甚多，其中與需求管理連結的粗略產能規劃(Rough-cut capacity planning, RCCP)主要針對企業接受到的新訂單做負荷規劃，不僅可以幫助管理者去做人、機資源分配，並輔助其快速能做出相對應的決策。
本研究以一家眼鏡製造公司為案例實證對象，內容主要包含兩大部分。其一，善用該公司既有的資訊架構與數據，建置產能規劃平台。相較於傳統的產能規劃議題，本研究特色為規劃時便納入現場在製品(Work-in process, WIP)的考量，因其占比已影響大盤產能的估算而不可忽視，尤其處於規劃需求階段而言，可謂本非典型產能規劃之核心，同時也包含如工時計算、排單邏輯、集結生產等特殊功能實作，有別於過去既定平台或商業軟體之限制性；其二，針對視覺化後的製程負荷分配，給予調整超載的訂單負荷相關分配建議，分別發展出六種基於人為規則、方法論之決策模型，並使用現況與另一情境實驗進一步分析改善情況與原因。
實證研究中，第一部分為實際建構出符合產業客製化需求的產能規劃管理平台，其中如使用顏色進行訂單調整時的連動、視覺化儀表板的負荷呈現、工時統計資訊計算彙整與相關開發應用。第二部分屬於訂單負荷的調整，從現況分析中可得知在新單負荷比例過小的現況下，對整體績效指標的改善率未有幫助；反之，情境實驗以新單負荷比例高做負荷調整，即可發現各方法針對改善前後之數值有所提升，當中又以交期調整法為最佳，也呼應現行案例公司需耗費人力、時間，卻使用之訂單排單模式。由此，來達到可供案例企業在管理產能決策時更有所依據、快速與彈性之目的。

As a classic research topic in production management, capacity requirements planning (CRP) is linked to material planning, demand management, and how to carry out effective material feeding and output at the manufacturing site. Therefore, a good implementation of CRP will help companies master their own business strategies and maintain market competitiveness. The vigorous development of research on CRP issues in the industry and academic circles over the years, in order to respond to the changing needs of the times and product complexity of production environments. CRP covers a lot of content. Rough-cut capacity planning (RCCP), which is linked to demand management, is mainly for load planning of new orders received by enterprises. RCCP can help managers to allocate human and machine resources, and make corresponding decisions quickly.
This study takes an optical glasses manufacturing as a case study. First, use the company's existing information system to build a CRP platform. Compared with the traditional CRP issues, the feature of this study is that the work-in process (WIP) is considered in planning, which cannot be ignored because its proportion has affected the stage of the estimation of the capacity. CRP platform also includes the other special functions such as standard processing time, scheduling logic, etc., which is different from the limitations of the established platforms or commercial software in the past. Secondly, aiming at the process load distribution after visualization, CRP platform gives suggestions for adjusting the overloaded order load distribution. In this study, we develop six decision-making models to analyze the current and experimental situation, their improvement and reasons.
In the empirical study, first part is to build a CRP platform, concluding of color for order adjustment, the dashboard of the load display, some statistical information, and related development application. The second part is to adjust the load. For current situation, it can be known that the improvement rate of the performance index is not helpful when the proportion of the new order load is too small, it can be found that each method has improved in another experiment, and the delivery-based adjustment method is the best, which also echoes the current model of company to do demand management. As a result, the purpose of providing company with more basis, speed and flexibility in managing production capacity decisions can be achieved.

經濟部中小企業處，2021，中小企業白皮書，台北：經濟部中小企業處。
經濟部統計處，2021，工業產銷存動態調查，available at
https://dmz26.moea.gov.tw/GMWeb/investigate/InvestigateDB.aspx(取得日期：2022.04.25)
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