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Optimizing Life Sciences
Through Advanced Manufacturing

Transform your operations with data-driven strategies and cutting-edge technologies.

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Key Challenges in Life Sciences Manufacturing

  • Variability in Lead Time

    Discuss how unpredictable lead times can affect operational efficiency and offer solutions for better forecasting.

  • Complex Production Processes

    Explain the intricacies of preceding and subsequent processes within main production operations and how they can be streamlined.

  • Multi-Product Management

    Describe the difficulties in managing long-term and quarterly demand orders for multiple products, and offer solutions for better inventory management.

These challenges highlight the need for an effective planning and scheduling solution equipped with simulation capabilities, enabling accurate prediction of batch quantities within each factory. This, in turn, serves to bolster production capacities.

 

 

VMS Solutions can build a real-time scheduling system that reflects production variations. It develops concurrent plans for the primary production phases, all while ensuring seamless synchronization to streamline operations and minimize inventory shortage and excess inventory.

Functions

  • Master Schedule Creation and Validation

  • Utilizing a probabilistic stochastic model that considers the variability of process lead times to conduct simulations.

  • Forecasting batch quantities producible per factory.

  • Predicting producible quantities considering confirmed orders and potential orders.

  • Anticipating producible quantities and fluctuation scenarios based on order scenarios (prioritization, production volume adjustments, etc.).

  • Automatic Job Instructions and Real-Time Update

  • Generation of optimized schedules in real-time reflecting on-site fluctuations.

  • Consideration of real-time factors such as equipment status, progress of processes, quality status of batches, etc.

  • Creation of work schedules for each equipment/batch.

  • Simultaneous scheduling from main process to sub-processes (Development of sub-process schedules based on the main process production plan).

  • Analysis of Diverse Performance Data

  • Collection of performance-based lead time data by product/process. (Collection of min/max/avg. lead time & estimation of probability distribution)

  • Collection of yield data by product/process.

Return on Investment (ROI)

175% / 2 years,416% / 4 years

35% reduction in stockout costs and a 22% reduction
in storage and holding expenses

15% reduction in logistics cost and decrease of 8.5% in
inventory damage and disposal costs

  • 아이콘

    End-to-end
    manufacturing integration

    Our solution covers the entire process from fab to back-end and integrates multiple levels from weekly planning to real-time scheduling.

  • 아이콘

    Easy implementation
    with a rich library

    You can quickly and easily create the application of the highest level using the library created based on the best-known methods obtained from our experiences.

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    ML based optimization

    The what-if simulation environment not only predicts future situations for various scenarios, but also allows you to find the optimal parameters using ML techniques such as reinforcement learning.

Our Customers

  • SAMSUNG BIOLOGICS
  • LG Household & HEalth Care
  • Kolmar
  • SAMSUNG ELECTRONICS
  • SK hynix
Solutions

Resilient Planning

Agile planning for a fastpaced environment.

  • Optimal capacity planning

  • Accurate capable-to-promise (CTP)

  • Reliable production planning

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Solutions

Optimized Scheduling

Boost production efficiency with a robust production plan that
anticipates factors and constraints.

  • Executable schedule

  • Fast calculation

  • Efficient line operation

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Solutions

Simulation and Digital Twins

Analyze every step of your manufacturing process and optimize
production with our dynamic simulation systems.

  • Provide reliable visibility

  • Improve bottleneck resource utilization

  • Eliminate WIP Bubbles

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Solutions

Data Science and AI

Drive efficiency and innovate with machine learning.

  • Provide reliable visibility

  • Improve bottleneck resource utilization

  • Hunt down WIP bubble

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Why work with VMS

Discover our trusted skills and core competency values.

  • 아이콘

    Trained ML models
    and simulator support

    Our data scientists understand the different challenges that global leading semiconductor manufacturers face and created an optimal ML model considering these requirements. The use of reliable simulation data accelerates ML training while utilizing historical data.

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    Proven cutting-edge solution

    We have deployed numerous MOZART® systems around the world. Our MOZART® solution in conjunction with our consulting expertise evolves as we expand our footprint and continue to serve our clients.

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    High accuracy and end-to-end visibility on the simulation process

    Our simulation model takes into account all manufacturing constraints & rules, enabling practical and reasonable end-results. Fast simulation run-time and powerful analysis reports enables users to troubleshoot and assists with decision making.

Get in touch

Our global team helps you innovate to another level.

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