제약공정에서 공정 및 제품의 품질향상을 위해 강건 호감도 함수 모형을 이용한 최적공정설계

• 영문명: An Optimal Process Design Using a Robust Desirability Function(RDF) Model to Improve a Process/Product Quality on a Pharmaceutical Manufacturing Process
• 발행기관: 한국산업경영시스템학회
• 저자명: 박경진(Kyung Jin Park) 신상문(Sangmun Shin) 정혜진(Hea Jin Jeong)
• 간행물 정보: 『산업경영시스템학회지』제33권 제1호, 1~9쪽, 전체 9쪽
• 주제분류: 경제경영 > 경영학
• 파일형태: PDF
• 발행일자: 2010.03.30

영문 초록

Quality design methodologies have received constituent attention from a number of researchers and practitioners for more than twenty years. Specially, the quality design for drug products must be carefully considered because of the hazards involved in the pharmaceutical industry. Conventional pharmaceutical formulation design problems with mixture experiments have been typically studied under the assumption of an unconstrained experimental region with a single quality ch aracteristic. However, real-world pharmaceutical industrial situations have many physical limitations. We are often faced with multiple quality characteristics with constrained experimental regions. In order to address these issues, the main objective of this paper is to propose a robust desirability function (RDF) model using a desirability function (OF) and mean square error (MSE) to simultaneously consider a number of multiple quality characteristics. This paper then present L-pseudocomponents and U-pseudocomponents to handle physical constraints. Finally, a numerical example shows that the proposed RDF can efficiently be applied to a pharmaceutical process design.

목차

1. 서 론

2. 강건 호감도 함수 모형을 이용한 최적공정 설계

3. 수치 예제

4. 결 론

키워드

Robust Design Mixture Experiment Simplex Design Desirability Function