GSK determined a possible 20% lower capital expenditure for the renewal of its biopharmaceutical manufacturing facility in Parma, Italy, by using simulation modeling. For analysis, planning, and decision support on the project, GSK worked with the award-winning tech application company Decision Lab.
Cardinal Health, a billion-dollar pharmaceutical distribution and logistics firm, manages multiple products from brand name pharmaceuticals and generic drugs to over the counter drugs, health & beauty items and their own private label. They face a multitude of typical distribution warehouse challenges that are further complicated by the nature of pharmaceutical products. Brian Heath, Director of Advanced Analytics at Cardinal Health, and an experienced user of AnyLogic software, employed agent based modeling to solve various business problems, saving Cardinal Health over $3 Million annually.
Pfizer, one of the world's largest pharmaceutical companies, asked Fair Dynamics, in collaboration with Health Services Consulting Corporation, to develop a platform that would help the company’s researchers test a new drug for patients with painful diabetic peripheral neuropathy. The platform would be based on previous clinical studies and act as a decision support tool, which could assess a patient’s personal parameters, prescribe drug dosage, and predict possible outcomes.
GlaxoSmithKline (GSK) was the world’s sixth largest pharmaceutical company in 2014. The company was launching a new vaccine product on a new market that needed a distribution network different from what they had before. Therefore, the company needed to design a new supply chain and align manufacturing processes with it.
Cell therapy is a fast-growing industry with many unique and complicated manufacturing processes. One stem cell producer wanted to develop the product without expensive and life-endangering delays. To do this, they contracted two consultants to create a digital twin for maximizing clean room utilization and identifying bottlenecks.
Over the past 60 years, the number of Severely and Persistently Mentally Ill (SPMI) patients in the US living in the community increased. Yet a growing minority of people with severe illness are worse off because they are homeless or incarcerated. In this case study, IBM Global Research and Otsuka Pharmaceuticals used an agent-based approach to model these remarkable swings.
Indiana University Health Arnett Hospital, consisting of a full-service acute care hospital and a multispecialty clinic, faced poor statistics because the number of no-show patients (those who don’t show up for their scheduled appointments) rose dramatically to 30%. This was primarily connected to the fact that clinic schedules were driven by individual preferences of the medical staff, which led to increased variations in scheduling rules. To eliminate the problem, the client wanted to develop a scheduling methodology that would benefit the clinic, doctors, and patients.
A pharmaceutical company wanted to introduce a new medication treatment, which would help emergency departments (ED) improve their operational performance, in terms of efficiency and time. To evaluate the impact of their new treatment on ED operations, the client hired Sterling Simulation, a consulting company, to conduct a pharmaceutical simulation.
During COVID-19, many policies were implemented by governments around the world. In Saudi Arabia, Lean Business Services introduced infectious disease modeling to help understand the impact of decisions made by the government, and also to predict the effect of future policies and decisions.
This model simulates the maternity ward in a hospital currently under construction. The purpose of the model is to support discussions related to which resources, capacity, and work methods are required on the new ward. The project was carried out for Karolinska University Hospital in the Stockholm County, Sweden.