Biopharma: Planning the Ramp to Full Production

Biopharma: Planning the Ramp to Full Production

Background and Challenges

A world-leading, international pharmaceutical manufacturer asked Tefen to help with staffing and operational improvement management for two of its new drug lines that are expected to have a major impact in the worldwide pharmaceutical industry in the coming years.

  • A global top-five pharmaceutical company, concerned with the reforms and changes in the industry, needed a deeper understanding of the optimal staffing requirements and ramp plans to achieve operations management excellence. With lower top line revenue, bottom line costs had to be more efficiently managed for continued profitability. The manufacturer asked Tefen to help it design a capacity-based staffing model and training schedule for two of its drug lines, neither of which were fully operational yet.
  • Because both of the drug lines were being built to new facilities, cycle time, reliability, and OEE metrics were yet to be captured. Thus, the client asked Tefen to design a tool for performance tracking as well as possible improvement suggestions to its plant operations.

Tools and Methodologies

Tools used:

  • Capacity model: labor standards and labor constraints
  • VSM: Value Stream Mapping
  • Sensitivity Analysis
  • Scenario Analysis

We conducted in-depth interviews with the plant and shift managers, engineers, business leads, and demand planning staff to understand the current growth strategy

The nonoperational status of the drug lines created challenges because it prevented direct observation, MOS, and labor time studies. Thus, we gathered detailed labor standard data from those most familiar with the production processes.

With the labor standard data, we analyzed and built the staffing models. Value Stream Mapping was used as a tool for lead-time management and continuous improvement.

With a completed staffing model, we constructed likely operating scenarios based on the current baseline and suggested operational improvement recommendations. We then conducted sensitivity analyses on how each improvement’s’ impact toward the final FTE count would be most in line with the principles of lean management.

Steady state - Total FTEHiring schedule

Outcomes and Results

  • The user-friendly staffing model gave the client a convenient method of quantifying operational improvements in terms labor costs, guiding their new product development planning for the coming years.
  • Sensitivity Analysis showed a 14% increase in OEE availability would require 12 less FTEs
  • The staffing model also provided a practical training and hiring schedule that adapts to changes in demand, ensuring sufficient staffing to meet demand and minimize costs.
  • The Value Stream Map provided the much-needed structure for tracking cycle times and OEE, which are Key Performance for new drug lines.
  • The project’s deliverables will help the client track operational improvements as they occur and will gear them to a leaner manufacturing environment.
CONTACT US

Let's work together!