Download PDF
The sweet taste of digitization
Technology Category
- Platform as a Service (PaaS) - Data Management Platforms
- Platform as a Service (PaaS) - Device Management Platforms
Applicable Industries
- Food & Beverage
Applicable Functions
- Discrete Manufacturing
- Quality Assurance
Use Cases
- Manufacturing System Automation
- Predictive Maintenance
- Supply Chain Visibility
Services
- System Integration
- Software Design & Engineering Services
The Challenge
Yunzhibao Foodstuff Co., Ltd., a candy producer in China, was facing challenges due to the manual nature of its production and management processes. The company's operations lacked transparency, and data credibility was compromised due to the handover process between shifts. The company also heavily relied on individual workers, and the inability to capture and accumulate their knowledge and experience was a vulnerable point in Yunzhibao’s operations. The company needed to automate these processes, improve their standardization, and ensure product quality. They also needed to eliminate the 'black box' state of their operations and production, and make all product-related process knowledge transferable.
About The Customer
Yunzhibao Foodstuff Co., Ltd. is a confectionary manufacturer based in Jiangsu, China. The company has been in operation since 1995 and has developed over 200 different candy products through innovation and close cooperation with many of the world’s best-known food companies and supermarket chains. Yunzhibao's newest factory, located in the Jiangsu province, is now the largest candy producer in China. The company has experienced rapid growth and operates in a fast-moving and ever-changing consumer market.
The Solution
To overcome these challenges, Schneider Electric delivered a comprehensive automation and digital solution based on EcoStruxure, an open, interoperable, IoT-enabled system architecture and platform. The solution included AVEVA’s MES, customized for the Food and Beverage industry, and Modicon M580 and M340 PACs for efficient and automated production. The MES system can receive production orders from the ERP system and allocate them to each production line, forming a batch plan. This is then broken down into work orders which are connected to production standards and formulas sent to the control system to standardize control and prevent errors. The MES also plays an important role in ensuring food safety and product quality management.
Operational Impact
Quantitative Benefit
Related Case Studies.
Case Study
The Kellogg Company
Kellogg keeps a close eye on its trade spend, analyzing large volumes of data and running complex simulations to predict which promotional activities will be the most effective. Kellogg needed to decrease the trade spend but its traditional relational database on premises could not keep up with the pace of demand.
Case Study
HEINEKEN Uses the Cloud to Reach 10.5 Million Consumers
For 2012 campaign, the Bond promotion, it planned to launch the campaign at the same time everywhere on the planet. That created unprecedented challenges for HEINEKEN—nowhere more so than in its technology operation. The primary digital content for the campaign was a 100-megabyte movie that had to play flawlessly for millions of viewers worldwide. After all, Bond never fails. No one was going to tolerate a technology failure that might bruise his brand.Previously, HEINEKEN had supported digital media at its outsourced datacenter. But that datacenter lacked the computing resources HEINEKEN needed, and building them—especially to support peak traffic that would total millions of simultaneous hits—would have been both time-consuming and expensive. Nor would it have provided the geographic reach that HEINEKEN needed to minimize latency worldwide.
Case Study
Energy Management System at Sugar Industry
The company wanted to use the information from the system to claim under the renewable energy certificate scheme. The benefit to the company under the renewable energy certificates is Rs 75 million a year. To enable the above, an end-to-end solution for load monitoring, consumption monitoring, online data monitoring, automatic meter data acquisition which can be exported to SAP and other applications is required.
Case Study
Coca Cola Swaziland Conco Case Study
Coco Cola Swaziland, South Africa would like to find a solution that would enable the following results: - Reduce energy consumption by 20% in one year. - Formulate a series of strategic initiatives that would enlist the commitment of corporate management and create employee awareness while helping meet departmental targets and investing in tools that assist with energy management. - Formulate a series of tactical initiatives that would optimize energy usage on the shop floor. These would include charging forklifts and running cold rooms only during off-peak periods, running the dust extractors only during working hours and basing lights and air-conditioning on someone’s presence. - Increase visibility into the factory and other processes. - Enable limited, non-intrusive control functions for certain processes.
Case Study
Temperature Monitoring for Restaurant Food Storage
When it came to implementing a solution, Mr. Nesbitt had an idea of what functionality that he wanted. Although not mandated by Health Canada, Mr. Nesbitt wanted to ensure quality control issues met the highest possible standards as part of his commitment to top-of-class food services. This wish list included an easy-to use temperature-monitoring system that could provide a visible display of the temperatures of all of his refrigerators and freezers, including historical information so that he could review the performance of his equipment. It also had to provide alert notification (but email alerts and SMS text message alerts) to alert key staff in the event that a cooling system was exceeding pre-set warning limits.
Case Study
Coca-Cola Refreshments, U.S.
Coca-Cola Refreshments owns and manages Coca-Cola branded refrigerators in retail establishments. Legacy systems were used to locate equipment information by logging onto multiple servers which took up to 8 hours to update information on 30-40 units. The company had no overall visibility into equipment status or maintenance history.
