Designing a scalable multi-echelon inventory optimization capability with OMP MEIO
This article explains designing a scalable multi-echelon inventory optimization capability with OMP MEIO
See caseTransforming Demand planning into a scalable, segmentation-driven model for a global pharmaceutical leader
A leading global pharmaceutical company faced a critical challenge as its demand planning function relied on fragmented, manual processes that could not support rapid growth and increasing product complexity. With a surge in product launches and a sixfold rise in SKU complexity expected, the organization needed a more scalable, data-driven approach to forecasting. In response, a transformation program was launched to redesign the operating model, implement advanced planning technology, and introduce standardized, scenario-based forecasting capabilities.
See caseMastering end-to-end planning control with OMP Unison Planning™ at J&J Innovative Medicine
Johnson & Johnson Innovative Medicine, a global pharmaceutical leader, sought to advance its end-to-end planning capabilities by implementing an Advanced Planning System to improve visibility, connectivity, and efficiency across its network. Partnering with EyeOn, the organization deployed OMP Unison Planning to enable integrated planning processes, from S&OP to scenario planning, supported by global rollouts and continuous capability building. This transformation resulted in improved planning integration, increased efficiency, and measurable inventory optimization across the business.
See caseUsing OMP Unison Planning™ solver capabilities to enable better and faster scenario decision-making
A global pharmaceutical leader aimed to enhance its end-to-end planning by optimizing and scaling simulation capabilities within OMP Unison Planning. However, existing simulation processes were highly manual, slow, and not fully adopted across the organization, limiting their effectiveness in decision-making. With support from EyeOn, the company refined system configuration, standardized data models, and enabled faster, more reliable simulations, significantly improving planning speed and decision quality.
See caseImproved operational efficiency and flexibility with a dual target operating model
With more than 32,000 employees worldwide and a presence in more than 120 countries, they deliver high-quality tools, fastening systems and construction software designed to improve safety, productivity and precision in the construction industry. As our client continues to grow and evolve, the supply chain must adapt to meet new demands, including the addition of large-scale projects and fleet services.
See caseIntegrated scenario planning by using OMP Unison Planning™ advanced simulation capabilities
A global pharmaceutical company sought to strengthen its end-to-end supply chain planning capabilities to better respond to increasing complexity, disruptions, and portfolio expansion. However, simulation processes were fragmented, labor-intensive, and lacked the advanced functionality needed to support timely and effective decision-making across operational and tactical levels. In collaboration with EyeOn, the organization enhanced and standardized its simulation capabilities using OMP Unison Planning, resulting in faster, more reliable scenario analysis and improved cross-functional planning decisions.
See caseHow Johnson & Johnson Innovative Medicine standardized & automated master data review
Customer profile Johnson & Johnson Innovative Medicine, one of the
See caseOMP Unison Planning™ transparent multi-echelon inventory optimization (MEIO)
OMP Unison Planning™ transparent multi-echelon inventory optimization (MEIO)
See caseHow Boehringer Ingelheim kickstarted their planning transformation with a defined supply chain operating model
By growing their planning maturity Boehringer Ingelheim Biopharma has made big advancements to move from a reactive to a proactive planning process.
See caseEnd-to-end insights and RPA to optimize planner value add
EyeOn supported the customer in developing and maintaining global end-to-end insight reports. Together with the customer we automated routine activities with RPA algorithms, allowing the planners to focus on activities where they add most value.
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