Takeda - Blood Plasma Logistics Optimization with Anaplan

company overview

Takeda, with global headquarters in Tokyo, Japan, is a pharmaceutical company that manufactures treatments, vaccines and therapies for various diseases with the process of blood plasma fractionation. Takeda is the largest pharmaceutical company in Asia, and one of the top 3 plasma fractionators globally. Using blood plasma that is collected from over 200 collection centers around the world, Takeda has 8 manufacturing plants that produce these products for the medical industry.

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Service category
Supply Chain
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The Challenge

Takeda's original business process was tedious and manual using MS Excel spreadsheets. With the complexities and multiple solutions available for a given planning cycle, Takeda had a difficult time defining the optimum solution. This created a challenge to automate the entire process from start to finish.

In addition, because of the nature of the blood collection process, there are many constraints that needed to be considered when trying to optimize the distribution.

The Results

With improved efficiency, automation and centralized data storage, the new optimization model resulted in major improvements in the user experience. It also provides added visibility and deeper insights into the business process that allows the end user to focus on the task itself, rather than manipulating data in spreadsheets.

The new optimization process saves Takeda valuable time, being 3 times faster than the original process. Accelytics is working with Takeda to deploy additional variations of the Anaplan model to support similar business processes throughout their worldwide network.

The Solution

Takeda partnered with Accelytics to create an efficient, automated distribution process using Anaplan. The Anaplan model is used to forecast for various collection centers, create shipping plans, project inventories and compare to production plans.

The Anaplan model then sorts through all of the many constraints and provides a list of optimum changes to make to the center consignee status and the center collection container type. The end user then makes a choice as to how to best optimize the current plan from the suggestions provided by the model.

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