Topics: Implementation, Advanced Planning and Scheduling, Case Studies, Implementation, APS, APS, what-if scenario
Founded in 1959, the Mott Corporation is a market leader in OEM (original equipment manufacturer) parts/ component, process filtration systems, and high purity products. They, however, possessed a surprisingly low-tech approach to production scheduling. They, like many manufacturers, relied on a whiteboard, spreadsheets, and a printed schedule to track their production cycle. Due to the complicated nature of the manual scheduling process, they weren’t practicing capacity or finite capacity scheduling.
Mott Corp resolved to upgrade production scheduling systems and went in search for the best-of-breed. They evaluated several planning and scheduling solutions before making a selection. In the end, PlanetTogether’s scheduling software alleviated their pain points.
Gauging the potential consequences of change—and estimating what is needed to accomplish that change—continues to present an issue for many companies. These changes include both the high-level and detailed impact analysis of increased demand, modified staffing levels, and additions of production equipment. The problems arise when companies are unable to see how these changes affect their production schedule in real time. Therefore, organizations too often either overshoot or undershoot their expectations and resulting ROI from these investments.
PlanetTogether software assists in the above issues through the following avenues:
Naturally, there's a learning curve with any process overhaul. Always on call for assistance, the PlanetTogether team promptly responds to any issues that may arise to fulfill its rapid implementation promise.
PlanetTogether provides stellar performance in production scheduling for multi-plant manufacturers. Founded in 2004 by Cornell University engineers, this San Diego-based software developer thrives on the challenge of algorithms to drive manufacturing efficiency. PlanetTogether’s planning and scheduling software cuts inventory and labor costs in half. It boosts productivity by double digits and connects multi-plant operations with precision. Fully customizable, the software integrates with virtually all ERP systems, typically in four months, and pays for itself in six.
Topics: Implementation, Advanced Planning and Scheduling, Case Studies, Implementation, APS, APS, what-if scenario
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