Pfizer's Batch Process Design Model Pfizer Is Essay

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Pfizer's Batch Process Design Model Pfizer is a global pharmaceutical manufacturer heavily invested in drug discovery (Pfizer, 2013a). Accordingly, the supply chain needs of Pfizer are atypical of most manufacturers because a significant portion of its production activities must be tailored to meet the needs of researchers investigating the efficacy of drugs in clinical trials. The needs of the research and development arm of Pfizer therefore dominate the process development structure of the company.

Pfizer is in the business of supplying drugs for human and animal consumption; however, before a drug candidate can be brought to market it must win regulatory approval through clinical trials (Pfizer, 2013b). Drugs must therefore be manufactured initially in small batches and then scaled up as it progresses through the three phases of clinical trials. These drugs can represent small molecules...


Many of these products have short shelf lives and therefore need to be prepared shortly before use. To meet these requirements Pfizer must emphasize consistent quality, on-time delivery, and cost containment.
For the above reasons, Pfizer cannot depend upon a make to stock process design because it would be difficult to predict whether a drug candidate will successfully transition through each phase of the clinical trial. A make to stock process design would therefore add unnecessary costs to the research and development process whenever stocks were rendered useless by the failure of a drug candidate to pass muster in clinical trials.

A make to order process design would make little sense as well, since the doctors involved in clinical trials have no interest in customizing a drug preparation…

Sources Used in Documents:


Pfizer. (2013a). Worldwide Research and Development. Retrieved 16 Aug. 2013 from

Pfizer. (2013b). Pfizer pipeline -- Our medicines in development. Retrieved 16 Aug. 2013 from

Pfizer. (2013c). Small molecule product & process development. Retrieved 16 Aug. 2013 from

Shires, Nigel. (2006). A crystal ball for the supply chain -- bringing current and future capacity into the delivery equation. Retrieved 16 Aug. 2013 from

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