With access to diverse end markets such as construction, automotive, electronics and agriculture, the ubiquitous specialty chemicals industry looks to be in great shape
Valued at more than $850 billion in 2015, Global Market Insights projects that the specialty chemicals industry will grow at a 4.5% compound annual growth rate (CAGR) to reach $1273 billion by 2024.
Business drivers include increasing population, rising living standards and robust end market growth. Not all is bullish, however. Competition is intensifying as more producers focus on specialties, compounded by increasing end market demands and tightening regulations.
Producers seem rattled as they battle for differentiation in this environment, offering progressively more tailored products and services to secure customer loyalty. A key outcome of this fight for differentiation is steadily rising operational complexity.
Many producers are realising that the status quo in manufacturing cannot support the increasing complexity of customers’ business models. Current manufacturing practices simply drive too much variability, provide too little visibility and impose too much inflexibility for today’s environment.
A relentless focus on manufacturing excellence is required to succeed — one that drives transformation through technology enabled best practices.
End-use product performance is the ultimate measure of success for specialty chemical producers, impacting both selling price and customer loyalty. A common problem for many is variability in product quality that drives inconsistent end-use product performance. Leading producers have demonstrated a number of best practices to reduce quality variability and improve customer outcomes.
Real-Time Quality Monitoring uses a combination of measured and inferred values to continuously calculate product quality objectives. Golden Batch Profiling displays a real-time comparison of the current batch trajectory to that of a perfectly produced batch. Procedural and Recipe Control automates the step-by-step sequence from when an order is dispatched until the final product is complete.
The results: producers improved quality by 10–20% by implementing these best practices, enabled by manufacturing execution, advanced process control and asset performance management solutions.
A high level of customer responsiveness is a powerful differentiator, elevating selling price and customer loyalty. Many producers face barriers to responsiveness, however, including variability in order fulfilment and the inability to commit to short notice orders. Model-Based Scheduling, a best practice for improving responsiveness, leverages models of manufacturing assets to automate the evaluation of all potential production scenarios during extended time horizons.
Resource Sharing Optimisation determines the optimal way to share interchangeable equipment and resources between production lines. Schedule Dispatch Automation provides real-time details of scheduled orders directly to operations staff. The results: producers improved on-time order fulfilment by 8–12% using these best practices.
How effectively assets are utilised impacts manufacturing performance, customer satisfaction and profitability. Producers commonly experience unplanned downtime and inconsistent utilisation, however, which degrades asset effectiveness. A fundamental best practice for improving asset effectiveness, Real-Time Key Performance Indicator Monitoring, calculates and displays important effectiveness parameters.
Reliability and Availability Modelling evaluates the future effectiveness of an entire site based on the reliability and availability of its individual components. Predictive and Prescriptive Analytics forecasts impending equipment failures and provides corrective actions to avoid them. Model-Based Scheduling and Resource Sharing Optimisation identify and remedy future utilisation gaps.
The results: producers improved overall equipment effectiveness and on-stream time by 2–4%, enabled by asset performance management and scheduling solutions.
Producers are under constant pressure to extract higher volumes from their existing plant. Frequent variability in batch and continuous production, however, limits production growth by preventing “best demonstrated” throughput from being consistently achieved. The best practice of Real-Time Process Monitoring uses a combination of measured and inferred values to track batch completion, minimising batch cycle time.
Golden Batch Profiling facilitates batch-to-batch consistency. Procedural and Recipe Control enables consistently executed start-ups, shutdowns and transitions. Advanced Process Control minimises variability in continuous processes by holistically managing all of the complex, multivariable interactions that occur across an entire process unit.
Predictive and Prescriptive Analytics identifies emerging process upsets that are invisible to operations staff. The results: producers increased production by 3–5% by implementing such best practices.
Continuously reducing operating costs by managing its major elements – energy consumption, raw material efficiency and maintenance effectiveness – is vital to manufacturing improvement. A common problem for producers is that the performance of these major elements varies from day-to-day or batch-to-batch.
The best practice of Procedural and Recipe Control enables raw materials and energy to be utilised more consistently.
Real-Time Energy Monitoring provides continuous visibility of energy consumption to maximise efficiency. Batch KPI Reporting generates detailed cost performance attributes for a batch, facilitating continuous improvement. Advanced Process Control delivers increased yields and reduced energy consumption, while Predictive and Prescriptive Analytics reduces maintenance costs.
The results: producers reduced operating costs by 2-5% via these best practices.
Documented procedural compliance is becoming a requirement in certain specialty segments. A common problem for producers is that compliance activities are time consuming and cumbersome, often delaying product shipment. The best practice of Electronic Batch Records automates the capture of all production information associated with a batch, reconciling results against established procedures and specifications.
Product Genealogy tracks a product across the entire manufacturing process, from raw materials to final packaged product. Procedural and Recipe Control, Golden Batch Profiling and Batch KPI Reporting also facilitate compliance by improving manufacturing consistency. The results: producers have reduced the burden of compliance and achieved faster product releases via these best practices.
Producers must transform manufacturing practices to mitigate the growing operational complexity of customers’ business models. The degree to which they embrace transformation will impact customer satisfaction, market share and profitability in an increasingly competitive specialty chemicals market. Combined, the six levers constitute a roadmap for achieving manufacturing excellence goals and driving step-change improvements in manufacturing performance.
Core to each of the six levers are demonstrated, technology enabled best practices that can deliver measureable benefits in the form of improved product quality, more on-time orders, increased utilisation, higher production, lower operating costs and streamlined compliance. Currently, leading producers, such as BASF, Dow Chemical and SABIC rely on solutions from AspenTech to improve manufacturing performance.