engleski

Development of Supplier and Staff Organization Model of Hospital Pharmacy

In present study process of supplier arrivals and admission of deliveries in the hospital pharmacy was investigated. The study involved recording the arrival times of suppliers and the processing times for receipt and admission of deliveries. Expected number of supplier arrivals was estimated and modeled by an appropriate probability distribution. Differences in processing times for admission of deliveries were examined and tested. Distinct deliveries were clustered together, the probability of their arrival was calculated along with their respective probability distributions of processing times. Created Monte Carlo simulation model indicated a possibility of improving observed pharmacy processes with existing staff by changing work methods and policies. It was concluded that by combining industrial engineering methods with statistical modeling and simulations, it is possible to make an assessment of the current state of the process in conditions where data and information are scarce, which forms the basis for any improvement.

pharmacy ; process optimization ; industrial engineering ; statistical modeling ; Monte Carlo method

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