Digital Transformation and Efficiency Enhancement at Roquette through Alteryx
Technology Category
- Analytics & Modeling - Machine Learning
- Sensors - Level Sensors
Applicable Industries
- Education
- Equipment & Machinery
Applicable Functions
- Product Research & Development
- Quality Assurance
Use Cases
- Onsite Human Safety Management
- Time Sensitive Networking
Services
- Data Science Services
- Training
About The Customer
Roquette is a global leader in innovative plant-based ingredients. The company addresses current and future societal challenges by unlocking the potential of nature across the food, nutrition, and health markets. Their ingredients respond to essential needs, enable healthier lifestyles, and are critical components in life-saving medicines. The company's approach to innovation extends inwardly, and in 2018, they embarked on a digital transformation project to revolutionize their production facilities and processes. Roquette operates 25 production sites and has 250 production processes emitting between 500 and 3000 records every 30 seconds.
The Challenge
Roquette, a global leader in innovative plant-based ingredients, embarked on a digital transformation project in 2018 to revolutionize their production facilities and processes. The company faced the challenge of managing and processing large datasets from 250 production processes that emitted between 500 and 3000 records every 30 seconds. The manual processing of data was time-consuming and inefficient, hindering strategic decision-making. For instance, one team was spending 100 hours manually exporting 3000 Excel databases. Furthermore, the company's 25 production sites needed to consistently operate at the highest level, requiring the assessment of the Sigma Level, a statistical term used in manufacturing to measure how much a process varies from perfection. This task was time-consuming, requiring approximately one working week of data consolidation for each plant.
The Solution
Roquette implemented Alteryx, a data processing and analysis tool, to consolidate, process, and analyze disparate data sources. This enabled strategic decision-making at scale and significantly reduced the time spent on manual data processing. For instance, the process of exporting 3000 Excel databases was automated using Alteryx, reducing the time required from 100 hours to just three minutes. Alteryx was also used to automate the task of assessing the Sigma Level of each plant, reducing the time required from one week to less than three minutes for all plants. The tool's machine learning capabilities were used to uncover vital insights, such as the influence of external temperature on a manufacturing process. Alteryx was also used to democratize data analytics within the company, allowing employees of all analytical and coding abilities to apply analytical methods.
Operational Impact
Quantitative Benefit
Case Study missing?
Start adding your own!
Register with your work email and create a new case study profile for your business.
Related Case Studies.
Case Study
Smart Water Filtration Systems
Before working with Ayla Networks, Ozner was already using cloud connectivity to identify and solve water-filtration system malfunctions as well as to monitor filter cartridges for replacements.But, in June 2015, Ozner executives talked with Ayla about how the company might further improve its water systems with IoT technology. They liked what they heard from Ayla, but the executives needed to be sure that Ayla’s Agile IoT Platform provided the security and reliability Ozner required.
Case Study
IoT enabled Fleet Management with MindSphere
In view of growing competition, Gämmerler had a strong need to remain competitive via process optimization, reliability and gentle handling of printed products, even at highest press speeds. In addition, a digitalization initiative also included developing a key differentiation via data-driven services offers.
Case Study
Predictive Maintenance for Industrial Chillers
For global leaders in the industrial chiller manufacturing, reliability of the entire production process is of the utmost importance. Chillers are refrigeration systems that produce ice water to provide cooling for a process or industrial application. One of those leaders sought a way to respond to asset performance issues, even before they occur. The intelligence to guarantee maximum reliability of cooling devices is embedded (pre-alarming). A pre-alarming phase means that the cooling device still works, but symptoms may appear, telling manufacturers that a failure is likely to occur in the near future. Chillers who are not internet connected at that moment, provide little insight in this pre-alarming phase.
Case Study
Premium Appliance Producer Innovates with Internet of Everything
Sub-Zero faced the largest product launch in the company’s history:It wanted to launch 60 new products as scheduled while simultaneously opening a new “greenfield” production facility, yet still adhering to stringent quality requirements and manage issues from new supply-chain partners. A the same time, it wanted to increase staff productivity time and collaboration while reducing travel and costs.
Case Study
Integration of PLC with IoT for Bosch Rexroth
The application arises from the need to monitor and anticipate the problems of one or more machines managed by a PLC. These problems, often resulting from the accumulation over time of small discrepancies, require, when they occur, ex post technical operations maintenance.
Case Study
Robot Saves Money and Time for US Custom Molding Company
Injection Technology (Itech) is a custom molder for a variety of clients that require precision plastic parts for such products as electric meter covers, dental appliance cases and spools. With 95 employees operating 23 molding machines in a 30,000 square foot plant, Itech wanted to reduce man hours and increase efficiency.
