EGUIDE:
Access this e-guide to discover what sets cloud/SaaS ERP apart from traditional, on-premise ERP deployments. Also learn about manufacturers who have successfully embraced the cloud for their ERP needs, and the special considerations process manufacturers should have before adopting ERP software.
EGUIDE:
Process manufacturers face some unique challenges, and therefore require unique strategies and techniques for supply chain management. Learn 7 key issues to consider for process manufacturers today.
EGUIDE:
In this product lifecycle managment (PLM) e-guide, discover an overview of the basics of PLM tools, software selection and implementation tips from industry experts, the value of cloud PLM, 3D CAD imagery, and social media add-ons, and why− and how− PLM is branching out from discrete manufacturing into process manufacturing.
DATA SHEET:
Infor VISUAL Quality Management is an extended enterprise quality management system that helps you increase productivity while maintaining and improving quality.
EGUIDE:
In this case study, learn how Sime Darby Industrial's inService Suite has returned more than 100,000 hours to the company in a digitisation initiative that has improved efficiency and customer engagement.
EBOOK:
In this expert eBook, manufacturers will learn how machine-to-machine (M2M) technology is bridging real-time information gaps. Also inside, explore the universe of M2M software options, and uncover tips for deploying this technology in the warehouse.
EGUIDE:
This expert e-guide offers a primer on enterprise resource planning (ERP), answering frequently asked ERP questions and exploring the top manufacturing trends of 2014.
EGUIDE:
In this e-guide from the experts at SearchManufacturingERP.com, uncover essential strategies for creating an effective supply chain plan and learn how to drive supply chain management (SCM) success.
EGUIDE:
The manufacturing industry has not yet taken full advantage of the ways predictive analytics can improve the supply chain. This expert e-guide dives into the benefits that manufacturers can experience with predictive analytics, especially when used in combination with sensor data from the Internet of Things.
