Implementing the Production Performance Analysis System in Group of Companies Danone-Unimilk
公司规模
Large Corporate
地区
- Europe
国家
- Russia
- France
产品
- QlikView Business Discovery system
技术栈
- MES (Manufacturing Execution System)
实施规模
- Enterprise-wide Deployment
影响指标
- Productivity Improvements
- Digital Expertise
技术
- 分析与建模 - 实时分析
适用行业
- 消费品
- 食品与饮料
适用功能
- 离散制造
- 质量保证
用例
- 自动化制造系统
- 预测性维护
服务
- 数据科学服务
- 系统集成
关于客户
Group of companies Danone-Unimilk is the largest manufacturer of dairy products in Russia. The company focuses on health and innovations, care of consumers and constant orientation to high quality of products. The Group comprises about 30 factories which manufacture the products under various brands. Danone-Unimilk belongs to Danone Worldwide, which operates in more than 120 countries. The company divisions employ more than 100,000 persons and are located in 120 countries on five continents. Danone owns 184 production centers and occupies leading positions in four areas of healthy foods production: fresh dairy products, water, infant food and medical nutrition.
挑战
Danone-Unimilk, a division of Danone Worldwide, was facing challenges in preparing reports on production efficiency. The company had developed an internal corporate standard of reports for controlling equipment use efficiency. However, the process of data input in MS Excel was time-consuming and the timeframe of reports preparation for production lines efficiency analysis was not satisfactory. The company needed a tool for preparing internal standard reports to the parent enterprise and for analyzing the information to uncover the efficiency of the measures for equipment performance improvement. The new system had to meet several requirements including compliance with the corporate standard of reports, no data contamination, possibility of data analysis with hourly refinement of production lines use efficiency, support of associative data model, automatic data updating on schedule, support of web-access and mobile devices, and 24/7 system availability.
解决方案
The company decided to introduce a state-of-the-art BI system and selected Infosystems Jet as the contractor for the project. The project was implemented in several stages. The first stage involved collecting the requirements to reports and data representation. The second stage involved the development of the analytical model and implementation. The system was implemented iteratively, allowing the customer to start using the system practically at once and introduce recommendations on the analytical model improvement. The system works by collecting data on the production lines performance from MES, replicating the information in the intermediate storage with configurable frequency, and then moving the information from the storage into QlikView. The system allows access to reports generation and viewing for several categories of employees, including managers of production and other division managers and the company management.
运营影响
Case Study missing?
Start adding your own!
Register with your work email and create a new case study profile for your business.
相关案例.
.png)
Case Study
Improving Vending Machine Profitability with the Internet of Things (IoT)
The vending industry is undergoing a sea change, taking advantage of new technologies to go beyond just delivering snacks to creating a new retail location. Intelligent vending machines can be found in many public locations as well as company facilities, selling different types of goods and services, including even computer accessories, gold bars, tickets, and office supplies. With increasing sophistication, they may also provide time- and location-based data pertaining to sales, inventory, and customer preferences. But at the end of the day, vending machine operators know greater profitability is driven by higher sales and lower operating costs.
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.
