Global specialty chemicals producer turns to aspenONE® Production Management and Execution (PM&E) to implement procedural control, efficiently moving raw materials and avoiding process upsets.

Virtually all multinational, diversified chemical companies are expanding their emphasis on specialty chemicals. Competition is intensifying, resulting in both margin degradation and faster product commoditization while customers are further exacerbating the situation by demanding “faster, better and cheaper” products. Learn how to leverage production scheduling to improve customer satisfaction and further take advantage of flexibility inside the plant.

The goal of APC implementation in the chemicals industry is simple: to maximize margins while meeting customer expectations. Aspen DMC3 delivers faster time-to-benefits resulting in a much higher return on investment. Learn how APC is key to achieving operational excellence.

This blog is the third in the PSC Best Practices Blog Series. Ruben explains the challenge of scheduling with spreadsheets and how an advanced scheduling solution provides better collaboration and more time for evaluating different scenarios.

This blog is the second blog in the PSC Best Practices Blog Series. Patrick explains how advanced planning technology and best practices can help 'weather the storm' of the volatile energy industry.

This blog is this first of the PSC Best Practices Blog Series, it introduces the importance of planning and scheduling and how difficult it can be to come up with the best decision.

The infrastructure supporting manufacturing operations in bulk chemicals has become pretty robust. The plants tend to be well instrumented and monitored. Sure, there are improvements to be made but when you compare the infrastructure prevalent in continuous plants with that of batch plants, you might find a pretty substantial gap.

Effective KPIs and KPI hierarchies are one of 6 Keys to Improving Operational Effectiveness. A properly designed hierarchy of KPIs, aligned throughout the layers of the organization, will ensure that performance of lower level KPIs will produce corresponding improvements in the highest level KPIs.

Quick action shortens the duration of a production problem and yet few companies’ measure and track the response times of their organization.

John Campbell (AspenTech) shares how to use seed models (less than perfect models based on historical data or similar processes) to shorten the time before a controller is turned on to accrue benefits earlier and potentially develop multiple controllers at once (in parallel).