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15079 1

  1. 1. A Hybrid Approach for Leveraging ERP (SAP) and MES Functionality withinIntegrated Biopharmaceutical Manufacturing Environments Presented by Farukh Naqvi SAP/MES Consultant EnteGreat, Inc. Copyright © 2007, EnteGreat, Inc. All Rights Reserved.
  2. 2. Problem Statement• Today, Pharmaceutical companies face a wide assortment of problems concerning Plant-Manufacturing IT systems, Supply chain applications and quality requirements that are unique to “growing” Biologics manufacturing.• In an Integrated Manufacturing Organization with Various Levels of Manufacturing Complexity: • Taking a one size fits all approach is both short sighted and limiting • Implementing customized solutions for each area of manufacturing encourages complexity which quickly becomes extremely difficult to sustain Copyright © 2007, EnteGreat, Inc. All Rights Reserved.
  3. 3. Goal of this Presentation• The goal of this presentation is to provide a holistic view of both the problems and potential solutions which leverages SAP investments to address the complexity of the biologic’s manufacturing operations (Fill, Finish and Biochem) by synchronizing the functionality with shop floor execution systems based on ISA S.88 standards.• Observations are Based on the Analysis of Three (3) Biopharmaceutical Organizations Copyright © 2007, EnteGreat, Inc. All Rights Reserved.
  4. 4. Agenda The Expanding and Evolving Biologics Market “Shop Floor Granularity” Overview of Manufacturing Complexity in Biopharmaceuticals High Complexity Processes (Biochem and API Manufacturing) – Functional Assessment of Planning, Scheduling and Execution in High Complexity Manufacturing – Lessons Learned and Benefits Low Complexity Processes (Filling and Finish) – Functional Assessment of Planning, Scheduling and Execution in Low Complexity Manufacturing – Lessons Learned and Benefits Conclusions Question and Answer Copyright © 2007, EnteGreat, Inc. All Rights Reserved.
  5. 5. The Evolving Pharmaceutical Value ChainThe Expanding Role of Biologics in thePharmaceutical Industry – Monoclonal Antibody – 12 - 13% Growth – Vaccines – 13 -14% Growth – Therapeutic Protein - 6 – 7 % Growth – Small Molecule – 1 -2 % GrowthMolecule Size and its Supply ChainImpact – Freeze and Thaw / Time Out of Refrigeration (TOR) – Tank Management – Campaign Planning – Fill and Finish “3rd Party Logistics” – Material Planning& Maintenance PlanningEnterprise Goal vs. Manufacturing Goal – Granularity and Visibility ObjectivesManufacturing Validation & Standards – ICH 09 / 10 – ISA 88 / ISA 95 Copyright © 2007, EnteGreat, Inc. All Rights Reserved.
  6. 6. Visibility and Goals: Enterprise vs. Plant Level Enterprise Goals vs. Manufacturing Goals – Example: Sensitivity for the Requirements and Technologies “While a 10 second delay for posting to the ERP may not be an issue, it could spell disaster for manufacturing (i.e. lost product, safety issues, etc)”• Shop floor Granularity is a Denominator to Define the Variability of Manufacturing Processes• S88 is a Vehicle for Establishing Common Denominators (Granularity) Copyright © 2007, EnteGreat, Inc. All Rights Reserved.
  7. 7. S88 Model: Procedure, Physical, Process Model Information Plant Result combined achieves with Procedural Physical Process How Using What Copyright © 2007, EnteGreat, Inc. All Rights Reserved.
  8. 8. Example: Unit Operation and Unit Procedure Charge Liquid 1 Material Charge Material Liquid 2 Reactor 1 Reactor 2 Copyright © 2007, EnteGreat, Inc. All Rights Reserved.
  9. 9. Definition of Shop Floor GranularityUnit Operation (Process Cell) • A logical grouping of equipment that includes the equipment required for a batch. • May contain more than one grouping of equipment needed to make a batch. • The grouping is referred to as a Train, which may contain a flexible amount of equipment: Equipment Modules and Control Modules. • Can be defined as a part of a recipe that defines the strategy for producing a batch within a Process Cell.Unit Procedure (Phase at Equipment) • The lowest level Equipment in the physical model that can carry out basic function • Usually centered around a piece of process equipment such as a filtration column or fermentation tank Containing all equipment and control functions necessary to perform its process function. • Can be defined as a Phase is the lowest level of procedural control in the procedural control model. A Phase is an individual step in a recipe at a process equipment level. Copyright © 2007, EnteGreat, Inc. All Rights Reserved.
  10. 10. “Manufacturing Complexity” Overview LEGEND High- complexity Process Low - complexity Process Copyright © 2007, EnteGreat, Inc. All Rights Reserved.
  11. 11. Comparison of High-Complexity and Low-ComplexityManufacturing Processes Copyright © 2007, EnteGreat, Inc. All Rights Reserved.
  12. 12. High-Complexity Processes(Biochem and API Manufacturing)• Multi stage sequential manufacturing• Long lead times• High shop floor automation with multiple systems• High variability due to non–deterministic routing• High analytical monitoring• Multi stage batch release• Multi level batch and equipment hierarchy Copyright © 2007, EnteGreat, Inc. All Rights Reserved.
  13. 13. High-Complexity Processes:Planning in SAP Scheduling and Execution in MES Demand and Production Planning: • Campaign Planning based on Forecast • Capacity Planning based on Demonstrated Capacity • Unconstrained Material & Labor Plan • Bottom-up Planning Finite Scheduling in MES Layer • Unit Operation and Procedure Level • Unique Constraints to be Modeled: Labor, Equipment, Environment, Material Manufacturing Execution in MES • Multi Stage Sequential Manufacturing • Very High Deterministic Dependencies between Operations Standard SAP MRP or enterprise-level APS (APO) has the capability to do the production planning across the biopharmaceutical manufacturing at the Unit Operation Level Copyright © 2007, EnteGreat, Inc. All Rights Reserved.
  14. 14. High-Complexity Processes:Planning in SAP Scheduling and Execution in MES Planning in SAP , Scheduling and execution in the MES Application Order / Forecast Supply – Demand Match Recipe / Routing Advanced Multi-Site Long - term Planning Capacity /Material & Scheduling SAP - APO Production Plan Production Plan Production Plan Plant Long - term Plant Long - term Plant Long - term Planned Demand (APS or MRP) Enterprise Plant Mid - term Resource Planning Champaign Plan Process Order 1 Process Order 2 Process Order 3 Plant Mid - term SAP R/3 Phase 1 - 1 Phase 1 -2 Phase 1 - m Phase n - 1 Phase n -2 Phase n - m Finite Scheduling Data Historain DCS / PLC Plant Short - term Work Center Real-time Manufacturing Manufacturing Order 1 Manufacturing Order 1 Manufacturing Order 1 Execution Shop floor Shop floor Shop floor Shop floor Shop floor Shop floor Order 1 - 1 Order 1 -2 Order 1 - m Order n - 1 Order n -2 Order n - m Copyright © 2007, EnteGreat, Inc. All Rights Reserved.
  15. 15. High-Complexity Processes: Lessons Learned Campaign Planning in SAP or SAP - APO • Have the limited ability to do procedure level constraint based campaign planning & scheduling. • Well suited to do campaign planning at operation level Resource and Material Qualification Planning: • Limited inheritance in SAP Finite Scheduling • Plant level or Procedure level localized Finite Schedule is best for Biochem Manufacturing • Not well suited for Non-deterministic routing environments Execution • Limited ability to handle freeze and thaw “time out of freezer” applications and times used “Ex: filtration column & chromatography column” • Limited ability in execution of sequential upward child – parent relation of a process order • Data processing granularity limitations • Although it has not performed any Finite Scheduling or actual Execution of the process order on its own, it has been updated with this information in real time by the MES. To this regard, SAP is the “slave” system Copyright © 2007, EnteGreat, Inc. All Rights Reserved.
  16. 16. High Complexity Processes: Benefits Improves Control and visibility on non-deterministic operations Improved response time to the changing dynamics on the floor Reduces in error due to non–availability of equipment Improves the batch release time Improves batch first-time pass Provides enough granularity and visibility to the enterprise systems by providing Real time update of the SAP process order on the WIP status at process cell level and improves customer service. Relieves SAP from the task of detailed Finite Scheduling – depending on the order volume, this could mean significant improvement on system performance in SAP. Since only the planned order is required for finite scheduling in MES, there is less dependence on the uptime of SAP for execution purposes. (“Thin” planned order to planned order interface from SAP to MES). “Thick” shop order to process order interface from MES to SAP Copyright © 2007, EnteGreat, Inc. All Rights Reserved.
  17. 17. Low Complexity Processes (Filling and Finishing)• Single Step Manufacturing• Low lead times with cold storage constraints• Medium shop floor automation with multiple systems• Medium Variability• Single Step batch release• Freeze and Thaw “Time Out of Refrigeration” Copyright © 2007, EnteGreat, Inc. All Rights Reserved.
  18. 18. Low Complexity Processes: Planning, Scheduling, andExecution All in SAP (PI Sheet) Demand and Production Planning • Demand – Focused • Cold Chain Focused • Top-Down Planning Scheduling • MRP Manufacturing Execution in SAP • SAP PP-PI / PP Module (PI-Sheet) Copyright © 2007, EnteGreat, Inc. All Rights Reserved.
  19. 19. Low Complexity Processes: Planning, Scheduling andExecution All in SAP (PI-Sheet) Copyright © 2007, EnteGreat, Inc. All Rights Reserved.
  20. 20. Example of PI-Sheet based MES Copyright © 2007, EnteGreat, Inc. All Rights Reserved.
  21. 21. Low Complexity Processes: Lessons Learned Demand planning needs a sophisticated planning tool (APO) Production planning can be handled with simple MRP Scheduling could be handled with the SAP functionality Manufacturing execution can be done using SAP PP-PI Module and Pi-Sheets Packaging is good process to extend SAP foot-print to manufacturing execution and leverage SAP investment Copyright © 2007, EnteGreat, Inc. All Rights Reserved.
  22. 22. Low Complexity Processes: Benefits Investments have been made in SAP – that can be leveraged for fill & finish execution in a practical manner Provides “One Version of Truth” Improves Supply Chain Management visibility Improves batch disposition and improves Quality processes Improves the Inventory management Copyright © 2007, EnteGreat, Inc. All Rights Reserved.
  23. 23. Co-Existence of MES and ERP High Complexity Low Complexity Copyright © 2007, EnteGreat, Inc. All Rights Reserved.
  24. 24. Conclusions Centralized Demand Planning in Hybrid Complexity Environment can be done in SAP-APO-DP Providing: • Push target for Biochem / API Manufacturing (0 -3 years forecasting) • Pull target for fill/finish/Packing Manufacturing (0 -3 Months based on actual demand) Demand – Supply based Synchronized Enterprise- wide Planning can be done in SAP APO-SNP • Improve Planning synchronization and Plant Utilization across the enterprise • One Drum – Beat across the enterprise, which results is better customer service Copyright © 2007, EnteGreat, Inc. All Rights Reserved.
  25. 25. Conclusions Plant-Level Production & Execution Plan is Based on Manufacturing Complexity • Campaign Planning based on forecasting can be done in APO- PPDS at the Process Cell level for high-complex manufacturing • A MRP Solution will be feasible for low –complex manufacturing • Enterprise level master data “Recipe” can be maintained at process cell level to facilitate detailed product costing • Material Planning for Packaging and Filling can be done using SAP-MRP or SAP-SNP Primary Goal of Finite Scheduling is to Optimally and Successfully Respond and Plan According to Actual Conditions in Execution • Finite Scheduling is not really required for Packaging or filling and can be planned and executed directly using PI-Sheet and APO • Biochem manufacturing, finite scheduling is done better in within MES at unit procedure level. Copyright © 2007, EnteGreat, Inc. All Rights Reserved.
  26. 26. Copyright © 2007, EnteGreat, Inc. All Rights Reserved.
  27. 27. Questions Farukh Naqvi E-mail: farukh_naqvi@entegreat.com Phone: 205-968-3050 www.entegreat.com Copyright © 2007, EnteGreat, Inc. All Rights Reserved.

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