Operations Research Improves Biomanufacturing Efficiency at MSD Animal Health

Author(s):  
Tugce Martagan ◽  
Yesim Koca ◽  
Ivo Adan ◽  
Bram van Ravenstein ◽  
Marc Baaijens ◽  
...  

Biomanufacturing methods use living organisms (i.e., viruses and bacteria) to generate active ingredients, and this leads to challenges that are different from those incurred by other industries. For example, biomanufacturers often deal with high levels of uncertainty and batch-to-batch variability in production yield, lead times, and costs. Biosafety requirements impose constraints, such as a no-wait requirement throughout the production process. In addition, biomanufacturing operations are cost and labor intensive and involve high risks of failure. To address these challenges, a multidisciplinary team of researchers collaborated over three years to develop a portfolio of optimization models and decision support tools. These tools were aimed at improving biomanufacturing efficiency using a variety of operations research methodologies, including stochastic optimization, Bayesian design of experiments, and simulation optimization. The developed models link the underlying biology and chemistry of biomanufacturing processes with financial trade-offs and business risks. The research has been conducted in close collaboration with MSD Animal Health in Boxmeer, Netherlands. Industry implementation at MSD AH had a significant impact, with up to 50% increase in batch yield and an additional revenue of €50 million per year. The application of operations research is very new to the biomanufacturing industry. As more companies such as MSD AH embrace operations research, we believe that this will significantly help the industry provide faster and more affordable access to new treatments.

2018 ◽  
Vol 10 (1) ◽  
pp. 19-37 ◽  
Author(s):  
Alfons Weersink ◽  
Evan Fraser ◽  
David Pannell ◽  
Emily Duncan ◽  
Sarah Rotz

Agriculture stands on the cusp of a digital revolution, and the same technologies that created the Internet and are transforming medicine are now being applied in our farms and on our fields. Overall, this digital agricultural revolution is being driven by the low cost of collecting data on everything from soil conditions to animal health and crop development along with weather station data and data collected by drones and satellites. The promise of these technologies is more food, produced on less land, with fewer inputs and a smaller environmental footprint. At present, however, barriers to realizing this potential include a lack of ability to aggregate and interpret data in such a way that it results in useful decision support tools for farmers and the need to train farmers in how to use new tools. This article reviews the state of the literature on the promise and barriers to realizing the potential for Big Data to revolutionize agriculture.


2017 ◽  
Vol 4 (3) ◽  
pp. 153-159 ◽  
Author(s):  
Bassel Daher ◽  
Walid Saad ◽  
Suzanne A. Pierce ◽  
Stephan Hülsmann ◽  
Rabi H. Mohtar

Author(s):  
L. Shalloo ◽  
T. Byrne ◽  
L. Leso ◽  
E. Ruelle ◽  
K. Starsmore ◽  
...  

The promised benefits of precision technologies (PTs) include improved efficiency, quality, animal health and welfare and reduced environmental impacts. To date, PTs (including sensors, algorithms, big data, decision-support tools, etc.) have had a relatively modest impact in pasture-based dairying systems in comparison with other agricultural sectors such as arable production. The areas animals roam and graze in pasture-based systems and the associated connectivity challenges may, in part at least, explain the comparatively reduced use of PTs in those systems. Thus, there are very few technologies designed specifically to increase pasture utilisation with the exception of global positioning systems (GPS) and Bluetooth-enabled Plate Meters. Terrestrial and satellite-based spectral analysis of pasture biomass and quality is still in the development phase. Therefore, one of the key drivers of efficiency in pasture-based systems has only been marginally impacted by PTs. In contrast, technological development in the area of fertility and heat detection has been important and offers significant potential value to dairy farmers. In general PTs can be described as good at measurement, data collection and storage but fall down around interpretation and providing useful outputs to end users. As a result, it is unclear if farm management is being sufficiently improved to justify widespread adoption of PTs. A needs-driven development of PTs and decision-support tools are required for the succesful integration within agriculture. Further cost/benefit analysis is also required to determine the efficiency of investing in PTs and what, if any, factors affect the variation in the returns.


2020 ◽  
pp. 323
Author(s):  
Nour Elislam Djedaa ◽  
Abderrezak Moulay Lakhdar

2007 ◽  
Vol 7 (5-6) ◽  
pp. 53-60
Author(s):  
D. Inman ◽  
D. Simidchiev ◽  
P. Jeffrey

This paper examines the use of influence diagrams (IDs) in water demand management (WDM) strategy planning with the specific objective of exploring how IDs can be used in developing computer-based decision support tools (DSTs) to complement and support existing WDM decision processes. We report the results of an expert consultation carried out in collaboration with water industry specialists in Sofia, Bulgaria. The elicited information is presented as influence diagrams and the discussion looks at their usefulness in WDM strategy design and the specification of suitable modelling techniques. The paper concludes that IDs themselves are useful in developing model structures for use in evidence-based reasoning models such as Bayesian Networks, and this is in keeping with the objectives set out in the introduction of integrating DSTs into existing decision processes. The paper will be of interest to modellers, decision-makers and scientists involved in designing tools to support resource conservation strategy implementation.


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