漁網產業之生產環境屬於接單式（Make-to-Order，MTO）生產，若想要滿足顧客需求，需確實掌握目前產能狀況，接單前可透過粗略產能規劃（Rough-Cut Capacity Planning，RCCP），判斷產能是否足夠，以達到快速回應客戶需求目的。目前許多產能規劃相關的研究議題或軟體應用，未見有適用於傳統漁網產業，且因其生產流程之獨特性，著眼於此產能規劃系統研發與執行之研究更為罕見。
本研究針對傳統漁網產業，發展出客製化產能規劃系統，在系統建構前，首要建立產品標準工時系統，作為粗略產能規劃系統基礎，再應用粗略產能規劃系統進行產能負荷評估，在得知目前整體可用產能狀況下，判斷是否能再接單或需與顧客進行協商延後接單生產。此系統已成功導入案例公司，其中在估計產能負荷方法，從原先人工經驗法則判斷，轉換以粗略產能規劃系統觀點做為評估。藉由模擬分析服務水準與利潤兩者績效指標顯示，可預期平均現況利潤由原先每公噸NT$38,758元增加至NT$43,287元，提升11.69%；而可預期服務水準亦從原先80.86%增加至97.70%，提升16.84%，後者使用客製化產能規劃系統表現優於現況。
最後，在此建構基礎下，提供管理者面臨不同顧客需求波動時，做出因應產能調整對策之參考依據，未來更進一步發展有效排程系統以降低存貨，縮短週期時間，進而提升訂單達交率，使得整個企業發揮最大效益，以維持更高競爭優勢。

Rough-cut capacity planning（RCCP）is important for the quick response to customers demand under the make-to-order（MTO）environment, such as the fishing net production industry which has a unique production process than other industries. A lot of researches before not exactly focussed on the development and implementation of a capacity planning model for fishing net production.
This research aimed at the traditional fishing net production industry which developed a customized capacity planning system（CCPS）which included both machine rate system and RCCP system. CCPS evaluates current loading of resource capacity and assisted managers in determining to accept orders or postpone orders by negotiating. The company evaluates capacity loading from artificial experiences change to CCPS already. The simulation results expected that the average profit per metric ton could add from NT$38,758 to NT$43,287 as well as service level could be added from 80.86% to 97.70% .
Finally, CCPS provided capacity loading infortmation for managers to readjust using capacity strategies. In the future, the aim of the research should be extended scheduling system under the foundation of CCPS to improve production process in the fishing net production industry.

周耀烋、蘇偉成，民 91，台灣漁具漁法，行政院農業委員會漁業署，臺北。
Berry, W.C., Schmitt, T., and Vollmann, T.E., 1983, Capacity planning techniques manufacturing planning and control system: information requirements and operational features, Journal of Operations ManagementI, 3, 13-25.
Chung, S. H., and Hsieh, M. H., 2008, Long-term tool elimination planning for a wafer fab, Computers & Industrial Engineering, 54, 589-601.
Ebadian, M., Rabbain, M., Torabi, S.A., and Jolai, F., 2008, Hierarchical production planning and scheduling in make-to-order environments: reaching short and reliable delivery dates International Journal of Production Research, 46, 1-29.
Fogarty, D.W., Blackstone J.H., and Hoffmann T.R., 1991, Production & inventory management, 2nd edition, South-Western Pub, Cincinnati.
Hopp, W.J. and Spearman, M.L., 2008, Factory Physics, 3rd edition, McGraw-Hill, New York.
Guerrero, H.H., and Kern, G.M., 1988, How to more effectively accept and refuse orders, Production and Inventory Management Journal, 29, 59-63.
Guide Jr., V.D.R., and Spencer, M., 1997, Rough-cut capacity planning for remanufacturing firms, Production Planning & Control, 8, 237–244.
Karabuk, S., and Wu, S. D., 2003, Coordinating strategic capacity planning in the semiconductor industry, Operations Research, 51, 893-849.
Kelton, W.D., Sadowski, R.P., and Sturrock, D.T., 2007, Simulation with Arena, 4th edition, McGraw-Hill, New York.
Moreira, M.R.A., and Alves, R.A.F.S., 2008, A methodology for planning and controlling workload in a job-shop:a four-way decision-making problem, International Journal of Production Research, 46, 1-17.
Vollmann, T.E., Berry, W.L., and Whybark, D.C., 1997, Manufacturing planning and control systems, 4th edition, Irwin, New York.
Wang, S.M., Chena, J.C., and Wang, K.-J., 2007, Resource portfolio planning of make-to-stock products using a constraint programming-based genetic algorithm, Omega, 35, 237-246
Wester, F.A.W., Wijngaard, J., and Zijm, W.H.M., 1992, Order acceptance strategies in a production-to-order environment with setup time and due-date, International of Journal Production Research, 30, 1313-1326.
Wortman, J.C., Euwe, M.J., Taal, M., and Wiers, V.C.S., 1996, A review of capacity planning techniques within standard software packages, Production Planning & Control, 7, 117–128.
Yang, T., Kuo, Y., and Chang, I., 2004, Tabu-search simulation optimization approach for flow-shop scheduling with multiple processors － a case study, International of Journal Production Research, 42, 4015-4030.
Zobolas, G.I., Tarantilis, C.D., and Ioannou, G., 2008, Extending capacity planning by positive lead times and optional overtime, earliness and tardiness for effective master production scheduling, International Journal of Production Research, 46, 3359-3386.