When delivering an estimate on time and on budget, learn why it is important to focus on the components that matter most.

Discover how to predict equipment breakdowns and perform prescriptive maintenance using a new approach to asset performance management. In this white paper, learn how nine early adopters of prescriptive analytics have reduced unplanned downtime and improved asset reliability. Download the paper to read real stories about the bottom-line results that have been achieved—in as little as 2 ½ weeks.

Whether particles are being formed, reduced in size, enlarged, participating in reactions, or just being separated from a fluid stream, ignoring or poorly modeling the solids processing steps may lead to lost opportunities, including cost reductions and quality improvements. The main challenges that arise when optimizing or troubleshooting a solids process include inefficient designs due to separate modeling of fluids and solids sections, overdesign of equipment, high-energy demands, reduced yields and quality variability. Modeling the solids section of a process is important for many common processes including specialty chemicals, agrochemicals, metals and mining, pharmaceuticals, biofuels and more. This paper describes the approach for incorporating granular solids and the corresponding solids processing steps when modeling processes.

Whether it’s a pilot plant or a complex petrochemical plant, these facilities rarely run like a well-oiled machine. There are always unknown variable dependencies that are difficult to understand, and there’s substantial room for improvement. In many situations, optimization is not the focus for plants because there are issues with reliability and safety that take precedence. Does this sound familiar? The ability to simplify job tasks and boost efficiency will greatly enhance plant performance but also, make your job easier

单独的传统预防型维护无法解决非预期停机问题。凭借低接触式机器学习所驱动的资产绩效管理，现在可能会从数十种程序、资产和维护数据中抽取相关数值，从而优化资产绩效。在本白皮书中，将学习这种插断性技术如何部署精确性故障模式识别，其具有较高的准确性，可以提前预测设备停机月数，并就约定的维护提供相关建议。本白皮书亦列述了驱动先进可靠性管理的五个最佳实践，以期增产提盈。

Adoption of ACCE can easily follow a known process that leverages organizational alignment, implementation of the software and a change in workflow processes that maximizes benefits.

Achieve savings in both engineering hours and CAPEX with modular design through the use of stanadardized designs in re-useable templates.

Ron Beck speaks to the power of a model based estimating system providing insight to its attributes like reusable templates and saleable features. How does ACCE differ from my proprietary Excel-based spreadsheets?

In the current extreme VUCA (volatile, uncertain, complex and ambiguous) environment, chemical producers are learning the importance of operating with insight and agility. At the same time, companies are being tested for the depth of their resilience, and learning how to navigate huge shifts in demand, supply, workforce and economics, and emerge from this crisis in a stronger position.

Are you struggling to effectively organize and analyze your data to troubleshoot bad batches? Multivariate analytics will quickly deliver insights that can increase batch quality, yield and throughput. Manufacturers have already realized 10 percent increase in production and 50 percent reduction in quality variability through the use of such tools. Download this paper now to learn how to get truly meaningful insights from your batch process data for optimal plant performance.