@article { author = {Habibifar, Naser and Hamid, Mahdi and Nasiri, Mohammad Mahdi}, title = {Concurrent optimization of integrated macro-ergonomics and resilience engineering in a pharmaceutical manufacturer}, journal = {Journal of Industrial and Systems Engineering}, volume = {12}, number = {3}, pages = {269-282}, year = {2019}, publisher = {Iranian Institute of Industrial Engineering}, issn = {1735-8272}, eissn = {2717-3380}, doi = {}, abstract = {Pharmaceutical manufacturers have a vital role in the healthcare system insofar as any disruption in their production processes jeopardizes people’s health and the environment they inhabit. Resilience engineering (RE) could shift such systems from an abnormal to a normal state. In addition, macro-ergonomics (ME) can enhance all system factors in a pharmaceutical plant. It is argued that integrating RE with ME could result in the overall optimization of a pharmaceutical unit. This study presents an integrated approach based on RE and ME factors which could be used to optimize the performance of pharmaceutical plants. A standard questionnaire was designed and distributed among experts. Data envelopment analysis (DEA) and fuzzy DEA were used to conduct optimization. Then. Pearson correlation test and paired t-test were used to evaluate the best DEA or fuzzy DEA model. Next, the best model was tested in terms of RE, ME, and combined factors. The results showed that reporting culture, flexibility, and formalization are the most important factors in the pharmaceutical industry. This is the first study to carry out an integrated optimization of RE and ME in a pharmaceutical unit and, thus, provides a practical approach for the pharmaceutical industry.}, keywords = {Pharmaceutical plants,Performance Optimization,resilience engineering (RE),macro-ergonomics,Data Envelopment Analysis (DEA)}, url = {https://www.jise.ir/article_93922.html}, eprint = {https://www.jise.ir/article_93922_fd7fd87d4d297d62212644c7e74bb592.pdf} }