Ross Benson
A Manufacturing Execution System (MES) is a software-driven, client-server or web-based network designed to link plant floor data to broader enterprise resource planning (ERP) platforms, so that information to any department within a facility can be transferred in real time, accelerating troubleshooting and reporting. A growing number of pharmaceutical manufacturers today are using the technology as a final tie-in, to key manufacturing and decision-making functions, as well as product release, into one common network.The arguments for moving to an MES platform are compelling. In reports provided by the MES Association (MESA), a consortium of hardware and software vendors, companies claim that 50% to 80% of their paper batch records contain errors, putting added pressure upon quality assurance personnel, production planners and supervisors. In some cases, it can take reviewers several weeks before records are processed and the errors caught. This presents more problems as the trail of batch tracking grows cold and many errors may not be explained due to the elapsed time since processing.If implemented properly, an MES system can enable near-paperless batch processing, allow for integrated electronic signatures, and help with developing and maintaining bills of materials and equipment, and dispensing raw or in-process materials. By integrating plant floor IT and ERP, MES allows operators to key in current batch data at any point within a manufacturing process so that the data are available, in real time, to all areas of production, planning and supervision. An MES eliminates various manual data entries, manual calculations, manual checks and the opportunity to miss a step. For example, operators no longer have to check their calculations; the system will do the calculations for them via formulas entered into the master recipe by an author. This eliminates errors, which in turn helps reduce cycle time. Manufacturing operators no longer need to read a scale weight and write down the weight. The system automatically retrieves the weight from the scale and places it in the electronic batch record. This also eliminates errors and will then automatically compare this weight to the weight obtained in the dispensing operation while informing the operator if there is a discrepancy.This process streamlines the product release by reducing the number of after-the-fact checks that are needed. Each manufacturing area performs these after-the-fact checks in accordance with its own policies. Some facilities have associates check calculations and other entries after each manufacturing operation. Other areas have associates check at the end of the entire manufacturing process. An MES network offers savings opportunities in both of these areas.At its core, MES tracks work-in-process through detailed product routing and tracking, labor reporting, resource and rework management, production measurement and data collection. Since data are transferred in real time, batch evaluations and updates can occur almost immediately and be sent to relevant departments for example, quality control, document management and plant-floor dispatching. Finding the real-dollar impactHowever, an MES platform is not a small budget item. Implementation costs range from an average of $1 million to $6 million, and annual support and licensing fees can run into the tens of thousands. Given the costs involved, most pharmaceutical manufacturers are content to stick with more limited Manufacturing and Resources Planning (MRP) systems. Corporate management typically requires substantive data to convince them that investing in an MES system will add to the corporate bottom line.An economic analysis of the Return on Investment (ROI) and the costs and benefits of installing an MES system is imperative, both for pharmaceutical manufacturers who are evaluating the software, and for those who have already implemented it, to gauge its impact on their ongoing operations. And this research must determine the real-dollar impact that the platform has on the key performance indicators (KPIs) at any pharmaceutical manufacturing facility:KPI(1) Survey 1 + KPI (1) Survey 2 + KPI (1) Survey 3
= KPI(1) Total The KPI totals could then be compared between the two subgroups to determine a dominance of one subgroup KPI over another. In individual KPI instances, this may result as a cost saving or an increase in expense. In some instances, both paper and non-paper data are collected. Data collection specialists (QA) may or may not have data available in parallel for similar products where one has been converted to MES and the other has not. However, a phased approach to implementation allows this information to be collected. The implementation should begin with the process or product whose ROI has the highest impact, and progress in a phased approach from there. The final step is to review historical data gathered prior to the implementation of electronic batch records for the exact products examined in the survey. This would eliminate any product-specific characteristics that might cause variations in the manufacturing costs. More likely than not, this research will vindicate the decision to implement an MES. But it can also be a useful tool for fine-tuning the implementation, or, for companies still on the fence, can either challenge or support investing in the software.References1. MESA International. (1997). MES Reference Materials from MESA International [Online]. Available: http://www.mesa.org/html/main.cgi?sub36.About the AuthorRoss Benson is head of engineering and maintenance at Martec Pharmaceuticals, Inc. (Kansas City, Mo.). He has more than 18 years of manufacturing experience in various industries, including automated food processing, aerospace, healthcare and pharmaceuticals. He has held positions in assembly, engineering, management, technical development and quality assurance. Ross holds a Master of Science in Industrial Management from Central Missouri State University. Contact him at rbenson@martec-kc.com
A Manufacturing Execution System (MES) is a software-driven, client-server or web-based network designed to link plant floor data to broader enterprise resource planning (ERP) platforms, so that information to any department within a facility can be transferred in real time, accelerating troubleshooting and reporting. A growing number of pharmaceutical manufacturers today are using the technology as a final tie-in, to key manufacturing and decision-making functions, as well as product release, into one common network.The arguments for moving to an MES platform are compelling. In reports provided by the MES Association (MESA), a consortium of hardware and software vendors, companies claim that 50% to 80% of their paper batch records contain errors, putting added pressure upon quality assurance personnel, production planners and supervisors. In some cases, it can take reviewers several weeks before records are processed and the errors caught. This presents more problems as the trail of batch tracking grows cold and many errors may not be explained due to the elapsed time since processing.If implemented properly, an MES system can enable near-paperless batch processing, allow for integrated electronic signatures, and help with developing and maintaining bills of materials and equipment, and dispensing raw or in-process materials. By integrating plant floor IT and ERP, MES allows operators to key in current batch data at any point within a manufacturing process so that the data are available, in real time, to all areas of production, planning and supervision. An MES eliminates various manual data entries, manual calculations, manual checks and the opportunity to miss a step. For example, operators no longer have to check their calculations; the system will do the calculations for them via formulas entered into the master recipe by an author. This eliminates errors, which in turn helps reduce cycle time. Manufacturing operators no longer need to read a scale weight and write down the weight. The system automatically retrieves the weight from the scale and places it in the electronic batch record. This also eliminates errors and will then automatically compare this weight to the weight obtained in the dispensing operation while informing the operator if there is a discrepancy.This process streamlines the product release by reducing the number of after-the-fact checks that are needed. Each manufacturing area performs these after-the-fact checks in accordance with its own policies. Some facilities have associates check calculations and other entries after each manufacturing operation. Other areas have associates check at the end of the entire manufacturing process. An MES network offers savings opportunities in both of these areas.At its core, MES tracks work-in-process through detailed product routing and tracking, labor reporting, resource and rework management, production measurement and data collection. Since data are transferred in real time, batch evaluations and updates can occur almost immediately and be sent to relevant departments for example, quality control, document management and plant-floor dispatching. Finding the real-dollar impactHowever, an MES platform is not a small budget item. Implementation costs range from an average of $1 million to $6 million, and annual support and licensing fees can run into the tens of thousands. Given the costs involved, most pharmaceutical manufacturers are content to stick with more limited Manufacturing and Resources Planning (MRP) systems. Corporate management typically requires substantive data to convince them that investing in an MES system will add to the corporate bottom line.An economic analysis of the Return on Investment (ROI) and the costs and benefits of installing an MES system is imperative, both for pharmaceutical manufacturers who are evaluating the software, and for those who have already implemented it, to gauge its impact on their ongoing operations. And this research must determine the real-dollar impact that the platform has on the key performance indicators (KPIs) at any pharmaceutical manufacturing facility:
- cycle time
- cost of goods manufactured
- direct and indirect labor hours required for batch processing
- deviations per batch.
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