The Development of a Cleaner Production Model and Applied Management Solutions for the Pharmaceutical Industry

Eurasian Journal of Analytical Chemistry

关键词: cleaner production;    factor analysis;    interpretative structural modeling;    rough set theory;    SWOT matrix;   

DOI  :  10.29333/ejac/85007

学科分类：分析化学

来源: Eurasian Journal of Analytical Chemistry

【 摘 要 】

The present study aimed to develop a cleaner production model and applied management solutions for the pharmaceutical industry. The research methodology was basic-applied in terms of purpose, and descriptive-exploratory in terms of implementation method. The statistical population included the companies operating in the pharmaceutical industry. Experts and managers working in these companies were selected as the statistical analysis unit. Using Cochran’s formula for a finite population, 341 individuals, including 9 experts, were selected as the sample. Interpretive structural modeling technique was used to design the interpretive structural model of cleaner production, and rough set theory was used to prioritize cleaner production indicators. Finally, SWOT matrix was used to provide operational and strategic solutions for cleaner production. The results showed that 15 variables of “cleaner policies and regulations”, “cleaner strategic stimulus”, “cleaner leadership and competency”, “cleaner processes”, “ cleaner suppliers”, “cleaner employee”, “cleaner partnership”, “cleaner culture”, “cleaner design”, “cleaner environmental management”, “cleaner resource management”, “cleaner innovation”, “cleaner purchasing management”, “cleaner technology”, “risk perception and cleaner protection indicators” are respectively the most important factors in achieving cleaner production. In the present study, a cleaner production assessment model was proposed for the pharmaceutical industry by identifying the key performance indicators involved in cleaner production using reliable techniques.

【 授权许可】

Unknown