Manufacturers have been faced with the challenge of how to manage their documentation to define, design, produce, and service their products since the dawn of the Industrial Age. What first started out as a challenge on how to best organize physical file cabinets used for paper storage evolved into a similar digital challenge with the onset of personal computers and software for word processing, spreadsheets, etc.
Leveraging Best Practices When Implementing a Chemical Inventory System Helps Ensure System Adoption and Successful Incorporation into Lab Processes
Companies that utilize chemicals in their labs and their manufacturing processes must manage those chemicals in a safe environment in accordance with government regulations. At a minimum, to ensure that this is accomplished, a system for managing information about the chemical safety and inventory data should be established and maintained. Best practices, on the other hand, take this minimum and leverage the management of the chemical inventory by taking full advantage of the people, processes, and technology involved. This white paper delves into the best practices involved in managing chemical inventory to achieve the most effective, holistic chemical inventory system.
A close look at how inconsistent, inefficient and inaccurate chemical inventory management processes are incurring higher risk, and how to address the challenges.
The frequency with which federal, state and local safety regulations are being updated is not only increasing, but the regulations are also growing in number and complexity, making it confusing and difficult to ensure compliance. When the regulations concern chemicals, it is vital that the organization deploy efficient processes and systems that enable laboratory and Environmental, Health and Safety (EHS) personnel to easily comply with the regulations, ensure safe chemical management and produce accurate chemical inventory reports.
As an engineer in the mobility manufacturing space, you and your company are facing one of the most radical transformations in the transportation industry since mass production. Modern manufacturers are rewriting the rules of vehicle operation as they shift from manual, mechanical platforms to autonomous, electric ones.
Like most business disciplines, project management relies primarily on past performance to predict future results. With Product Lifecycle Management (PLM) a vast amount of data is collected to help evaluate performance. But project managers still lack useful analysis and forward-looking capabilities to predict and ensure project success. Enhancing project management with analytics creates project intelligence, offering the opportunity to shift from a task-based activity to a performance-driven one. More broadly, it allows companies to significantly extend the value of their PLM investment and related data by using analytics to provide actionable insights that improve business performance.