Engaging Your Service Partner

A strong partnership between a supplier and a lab is necessary in order for the lab to remain competitive. It is important to build that strong foundation early in the relationship, as this creates a critical path free of obstacles.

Written byJoachim Joerger
| 6 min read
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Let Suppliers Contribute to Your Success Through Mutual Process Improvement and Organizational Learning

Automation is becoming more common in research labs due to its benefits: less manual intervention results in standardization and reliability. Although these benefits have their merits, the root cause of today’s automation hype is increased competition in all markets. Very tight project budgets, low reimbursement rates, and increased commoditization of formerly sophisticated molecular biological process (i.e., many more companies offering molecular testing services) drive project groups and companies to strengthen their competitive position. Automation is one of the tools that enable companies to outperform their competition.

One of the initial activities required to manage a lab is identifying the critical path of the lab’s applications. In a laboratory, the critical path is the sequence of sample preparation and handling activities that ultimately leads to the desired result: a set of experimental data or a diagnostic output. The ability to actively manage this critical path is the foundation for gaining competitive advantage. When lab managers want to take their automation to the next level to optimize the application, they want to know that they have a partner to call on to help ensure that the critical path runs smoothly.

Lab managers must have two key objectives in order to successfully manage the critical path:

1. Maintain & constantly ensure the quality of results.
Regulatory bodies request that laboratories ensure that their applications are robust, reliable, and reproducible for the sake of the quality of the results. Managers strive to meet these obligations as part of actively supervising the critical path.

2. Maximize profitability/project efficiency.
This objective includes productivity management of the validated application. Productivity management covers the active assessment and improvement of processes as well as the identification of alternative methodologies, technological advancements, and supply chain gaps.

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