Smart studies and quick scans are extremely effective tools when it comes to assessing and evaluating key performance indicators in cane sugar processing. With BMA’s extensive experience in undertaking smart studies/quick scans combined with in-depth knowledge of the sugar manufacturing process, cane sugar factories benefit from target-oriented engineering.

Smart studies and quick scans: BMA Engineering at its best!
Evaluating factory performance
First step: Understanding the client’s requirement
As part of the data collection, BMA aims to understand the client’s requirement, looking beyond day-to-day operations. We identify the main areas of improvement in every process step – product quality and yield, energy efficiency, reliability – and collect key process data. In discussions with factory operational staff on site, BMA builds trust and confidence and ensures smooth communication with the customer throughout the study.
Crunching the numbers: Mass and heat balances
The present scenario mass and heat balances are prepared, which helps us gain an insight into the process, assess the performance indicators and identify potential areas of improvement. Depending on client needs, the balances cover all stations in the process house and some auxiliary stations.
The road ahead: Preparing the Master Plan
Having undertaken numerous studies over the years, BMA has access to a vast database of information and quite practical and useful “rules of thumb” when it comes to analysing the factory performance data. Outcomes of the study/scan can be either immediately put into application or further developed into a Master Plan, with additional details from CAPEX and OPEX analyses and ROI calculations of the expected benefit.
Efficiency starts with BMA: Get in touch
Don’t hesitate to contact our Sales Managers for an offer that is tailored to your specific technical and commercial requirements. With our expertise in cane-related smart studies and quick scans, we are also happy to assist with the evaluation of your beet and refinery processes.
