活性炭濾心器之穩健設計

Robust Design for Activated Carbon Filters

10.6220/joq.2014.21(5).02

劉浚明(Chiun-Ming Liu)；楊景彥(Chin-Yan Yang)

水處理 ； 活性碳濾心器 ； 資料包絡分析法 ； 資料群集處理技術 ； water treatment ； activated carbon filter ； data envelopment analysis ； group method of data handling

品質學報

21卷5期（2014 / 10 / 31）

329 - 348

繁體中文

國內許多濾水器材製造廠商所生產的產品類別大多使用活性碳濾心器，所以活性碳濾心器在水處理過程中佔有一重要角色，但是廠商在設計活性碳濾心器等級時，往往不知如何選擇來配合產品性能，以致於發生使用等級過高導致獲利降低或是使用等級過低導致檢測試驗未能通過，造成產品檢驗成本增加與產品上市時間延期。本研究針對顆粒型活性碳濾心器等級設計問題加以探討，除了考慮必須符合檢驗標準以確保使用安全之外，同時應用田口方法（Taguchi Method）配合氯減量檢驗標準（CNS14933）進行實驗設計，找出活性碳等級、流量處理與重量使用等三者控制因子的參數組合，再以資料包絡分析法（Data Envelopment Analysis,DEA）與資料群集處理技術（Group Method of Data Handling, GMDH）得出最佳效率組合，提供廠商在設計活性碳濾水器時，能選擇最佳等級的活性碳與使用量，幫助廠商開發產品時能提高成本效益與壽命，使產品通過認證。此一設計方法應用於一家濾水器材製造廠，以實際產品進行規劃驗證此設計方法的優異性。

Activated carbon filters play an important role in water treatment processes because most water treatment products contain activated carbon filters. However, the selection of activated carbon grades very often does not match the activated carbon filter products in terms of performance. The wrong choice of activated carbon grades might cause several consequences, such as high lead levels with lower profits, failure to pass tests due to the use of low lead level, too high testing cost, or even time delay to market products. In this study, the problem of how to determine grading levels for activated carbon particles is explored. Also, the requirements to meet the inspection standards to ensure product safety are addressed. Taguchi method along with chlorine reduction test (CNS14933) experimental designs is applied to identify the activated carbon level. Data Envelopment Analysis (DEA) and Group Method of Data Handling (GMDH) are then used to explore a satisfactory combination of control factors. Results from this study provide better designs for activated carbon filters and help manufacturers understand the cost-effective product development. Also the developed approach can help manufacturers apply certifications for their products.

1. 蔡志偉、唐麗英(2008)。應用資料包絡分析法與自組性演算法最佳化來自實驗設計之多反應變數。品質學報，15(4)，259-269。
   連結：
2. ASTM Standard D4607, 2006, Standard Test Method for Determination of Iodine Number of Activated Carbon, ASTM International, West Conshohocken, PA..
3. Fisher, R. A., 1925, Statistical Methods for Research Workers, Oliver and Boyd, London
4. Bansal, R. C.,Donnet, J.-B.,Stochli, F.(1988).Activated Carbon.New York:M. Dekker.
5. Barker, T. B.(1986).Quality engineering by design: Taguchi's philosophy.Quality Progress,19(12),32-42.
6. Charnes, A.,Cooper, W. W.,Rhodes, E.(1978).Measuring the efficiency of decision-making units.European Journal of Operational Research,2,429-444.
7. Farlow, S. J.(1984).The GMDH Algorithm, Self-Organizing Methods in Modeling: GMDH Type Algorithms.New York:M. Dekker.
8. Farlow, S. J.(1981).The GMDH algorithm of Ivakhnenko.The American Statistician,35(4),210-215.
9. Farrell, M. J.(1957).The measurement of productive efficiency.Journal of the Royal Statistical Society. Series A (General),120(3),253-281.
10. Farrell, M. J.,Fieldhouse, M.(1962).Estimating efficient production functions under increasing returns to scale.Journal of the Royal Statistical Society. Series A (General),125(2),252-267.
11. Graese, S. L.,Snoeyink, V. L.,Lee, R. G.(1987).Granular activated carbon filter-absorber systems.Journal of American Water Works Association,79(12),64-74.
12. Heijman, S. G. J.,Hopman, R.(1999).Activated carbon filtration in drinking water production: Model prediction and new concepts.Colloids and Surfaces A: Physicochemical and Engineering Aspects,151(1-2),303-310.
13. Ivakhnenko, A. G.(1970).Heuristic self-organization in problems of engineering cybernetics.Automatica,6(2),207-219.
14. Lewin, A. Y.,Minton, J. W.(1986).Determining organizational effectiveness: another look and an agenda for research.Management Science,32(5),514-538.
15. Liao, H.-C.(2004).A data envelopment analysis method for optimizing multi-response problem with censored data in the Taguchi method.Computers and Industrial Engineering,46(4),817-835.
16. Liao, H.-C.,Chen, Y.-K.(2002).Optimizing multi-response problem in the Taguchi method by DEA based ranking method.International Journal of Quality and Reliability Management,19(7),825-837.
17. Magic-Knezev, A.,van der Kooij, D.(2004).Optimization and significance of ATP analysis for measuring active biomass in granular activated carbon filters used in water treatment.Water Research,38(18),3971-3979.
18. Oh, S.-K.,Pedrycz, W.(2002).The design of self-organizing polynomial neural networks.Information Sciences-Informatics and Computer Science: An International Journal,141(3-4),237-258.
19. 丁志華、戴寶通(2001)。田口實驗計畫法簡介（I）。毫微米通訊，8(3)，7-11。
20. 彭光中、蔡瀚儀、盧俊鼎、謝志強(2009)。全球市場導向的臺灣水資源技術商機探索。臺北:工研院IEK。
21. 黃盈賓(2005)。竹活性碳應用於淨水處理。臺南:工研院生態複合材料部。
22. 經濟部工業局污染防治技術服務團(1987)。工業廢水活性碳處理。臺北:中國技術服務社。
23. 蔡朋枝、陳旺儀、陳裕政(2009)。以田口實驗設計法釐訂高溫作業環境之工程控制策略。工業安全科技，3，36-40。