Determining Optimal Product Mix of Semiconductor Products Using DEA-super Efficiency Model and Apriori Algorithm = DEA-super efficiency 모델과 Apriori 알고리즘을 활용한 반도체 제품의 최적 혼합비 결정

국문 초록 (Abstract)

시장에 제공하는 제품의 목록을 의미하는 제품 혼합비는 기업의 수익성에 영향을 미치는 매우 중요한 요소이다. 기업은 고객이 선호하는 제품 속성을 규명하여 제품 생산에 적극 반영해야 하고 제품 혼합비를 최적으로 운영해야 한다. 반도체 제품은 복잡한 제조 공정을 가지는 제품으로 반도체 제품 투자에 대한 전반적인 수익을 개선하고 효율적으로 자원을 활용하기 위해서는 최적의 제품 혼합비를 설정해야 한다. 본 연구는 DEA-super efficiency 모델과 Apriori 알고리즘을 활용하여 효율을 산출하고 반도체 제품 고객의 구매 속성을 규명함으로써 최적의 제품 혼합비를 결정하는 분석방법을 제시한다. 제시한 분석방법은 DEA-super efficiency 모델을 적용하여 반도체 제품 속성의 유형별로 제품 생산 효율과 고객 그룹별 효율 값을 산출한다. 또한, Apriori 알고리즘을 적용하여 반도체 제품 속성에 대한 고객의 구매 특성을 제품 혼합비 결정에 반영한다. 본 연구에서 제시한 분석방법을 국내 반도체 제조 기업 데이터에 적용함으로써 실무적용 타당성을 평가하였다. 실무적용 타당성 분석을 수행한 결과, 제시한 분석 방법이 반도체 제품의 최적 혼합비를 효과적으로 결정할 수 있다는 것을 확인할 수 있었다.

다국어 초록 (Multilingual Abstract)

Product mix, which means the list of products provided to the market, is an important factor affecting a company's profitability. A company should identify the customer's preferred product attributes, reflect the attributes in the production and arrange the optimal product mix. The semiconductor product is a product which has complex manufacturing process. In order to efficiently utilize resources and improve the overall profitability of investment for semiconductor products, the optimal product mix should be set. This study proposes a method using DEA-super efficiency model and Apriori algorithm to determine the optimal product mix by calculating the efficiencies and deriving the customers' purchasing preference. The proposed method uses the DEA-super efficiency model to calculate the efficiencies of the product attribute types and the efficiencies of the customer groups. In addition, the Apriori algorithm is used to reflect the customers' preferred attribute type for determining the product mix. In this study, we assessed the practical application's feasibility of the proposed method by applying it to a Korean semiconductor manufacturing company. The result shows that the proposed method can effectively determine the optimal mixing ratio of semiconductor products.

목차 (Table of Contents)

• Ⅰ. Introduction
• Ⅱ. Theoretical background
• Ⅲ. Research method
• Ⅳ. Application study result
• Ⅴ. Conclusions and recommendations for future works
• References
• <요 약>

참고문헌 (Reference)

1 장영재, "전통적 DEA 모형과 비방사형 SuperSBM 모형에 의한 지방의료원의 경영효율성 영향요인분석" 한국산업경영학회 27 (27): 247-277, 2012

2 Linhares, A., "Theory Of Constraints And The Combinatorial Complexity Of The Product-Mix Decision" 121 : 121-129, 2009

3 Zhu, J., "Super-efficiency and DEA sensitivity analysis" 129 : 443-455, 2001

4 Lee, H. S., "Super-efficiency DEA in the Presence of Infeasibility" 212 : 141-147, 2011

5 Chen, H. H., "Stock Selection Using Data Envelopment Analysis" 108 (108): 1255-1268, 2008

6 Li, X., "Simulation System Of Car Crash Test In C-Ncap Analysis Based On An Improved Apriori Algorithm" 25 : 2066-2071, 2012

7 Haddock, J., "Modelling a Product-mix Determination Problem" 9 (9): 370-374, 1985

8 Agrawal, R., "Mining Association between Sets of Items in Massive Database" 207-216, 1993

9 Lee, Y. C., "Mining Association Rules With Multiple Minimum Supports Using Maximum Constraints" 40 (40): 44-54, 2005

10 Liu, B., "Mining Association Rules With Multiple Minimum Supports" 337-341, 1999

11 Charnes, A., "Measuring The Efficiency Of Decision Making Units" 2 (2): 429-444, 1978

12 Chung, S. H., "Measuring Production Performance With Different Product Mixes In Semiconductor Fabricator Using Data Envelopment Analysis (DEA)" 13 (13): 5-17, 2006

13 Hassan, M. S., "Inhalation Performance Of Pollen-Shape Carrier In Dry Powder Formulation With Different Drug Mixing Ratios: Comparison With Lactose Carrier" 386 (386): 6-14, 2010

14 Aflori, C., "Grid Implementation of the Apriori Algorithm" 38 : 295-300, 2007

15 Agrawal, R., "Fast Algorithms For Mining Association Rules" 407-419, 1994

16 Luo, X., "Evaluating The Profitability And Marketability Efficiency Of Large Banks-An Application Of Data Envelopment Analysis" 56 (56): 627-635, 2003

17 Grosskopf, S., "Evaluating Performance In Chicago Public High School In The Wake Of Decentralization" 20 (20): 1-14, 2001

18 Nahra, T. A., "Employing Super-Efficiency Analysis As An Alternative To Dea: An Application In Outpatient Substance Abuse Treatment" 196 : 1097-1106, 2009

19 홍봉영, "DEA에 의한 신용협동조합의 기술, 규모 및 배분효율성의 측정" 한국산업경영학회 17 (17): 121-138, 2002

20 Tseng, Y. F., "Comparing Appropriate Decision Support Of Human Resource Practices On Organizational Performance with DEA/AHP Model" 36 : 6548-6558, 2009

21 Tsay, Y. J., "Cbar: An Efficient Method For Mining Association Rules" 18 (18): 99-105, 2005

22 Donthu, N., "Benchmarking Marketing Productivity Using Data Envelopment Analysis" 58 (58): 1474-1482, 2005

23 Lin, M. I., "Applying Integrated DEA/AHP to Evaluate the Economic Performance of Local Government in China" 209 : 129-140, 2011

24 Chen, H. H., "Analysis Of New Product Mix Selection at TFT-LCD technological conglomerate network under uncertainty" 26 : 1210-1221, 2006

25 Wang, J. L., "An Optimal Product Mix For Hedging Longevity Risk In Life Insurance Companies: The Immunization Theor" 77 (77): 473-497, 2010

26 Chang, H. J., "An Anticipation Model Of Potential Customers' pUrchasing Behavior Based On Clustering Analysis And Association Rules Analysis" 32 : 753-764, 2007

27 Joseph, J. K., "Acceptability And Effect Of Mixing Ratios On The Quality Attributes Of 'Fura-De-Nono': A Nigerian Milk Product" 9 (9): 1-4, 1998

28 최승빈, "ATM 보유의 은행 효율성에의 기여 분석-DEA기법을 이용하여-" 한국산업경영학회 22 (22): 33-60, 2007

29 Andersen, P., "A Procedure For Ranking Efficient Units In Data Envelopment Analysis" 39 : 1261-1264, 1993

30 San Cristobal, J. R., "A Multi Criteria Data Envelopment Analysis Model To Evaluate The Efficiency Of The Renewable Energy Technologies" 36 : 2742-2746, 2011

31 Hong, T. P., "A Fuzzy Aprioritid Mining Algorithm With Reduced Computational Time" 5 : 1-10, 2004

32 Shafer, S. M., "A Framework For Measuring The Efficiency Of Organizational Investments In Information Technology Using Data Envelopment Analysis" 28 (28): 125-141, 2000

33 Chung, S. H., "A DEA Window Analysis On The Product Family Mix Selection For A Semiconductor Fabricator" 35 : 379-388, 2008