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Algodonera improves quality and indicator management with CPM and EQM solutions
Technology Category
- Analytics & Modeling - Predictive Analytics
- Functional Applications - Enterprise Asset Management Systems (EAM)
- Functional Applications - Enterprise Resource Planning Systems (ERP)
Applicable Functions
- Business Operation
- Quality Assurance
Use Cases
- Predictive Maintenance
- Process Control & Optimization
- Supply Chain Visibility
Services
- Software Design & Engineering Services
- System Integration
The Challenge
The company identified the need to conduct all the Group's management in a global fashion and integrate the Oracle and SoftExpert systems to facilitate integrated management.
About The Customer
Algodonera Avellaneda S.A. is a leading cotton gin and one of the main exporters of cotton fiber in Argentina. The company operates five cotton gins distributed throughout various Argentinean provinces, with a total production capacity of 3,000 tons per day. Algodonera Avellaneda is part of the Vicentin Group and employs 2,850 people. The company is involved in the spinning of cotton, blends, and twisted yarns, as well as the production of knit fabrics. Their final products include 100% cotton, combed, carded, and open-end spinning, as well as 100% viscose and polyester/cotton blends. The company holds several certifications, including ISO 9001, ISO 14001, and OHSAS 18001.
The Solution
SoftExpert CPM Suite and SoftExpert EQM Suite were implemented to improve quality and indicator management at Algodonera Avellaneda. The EQM solution automated the administration of quality management norm compliance, while the CPM solution enabled the use of strategic maps, graphic analyses, and diagrams to extend the cause-effect relationship of processes and key indicators. The CPM Suite also allowed the company to define and review strategies and maintain control based on key performance indicators. Additionally, the solutions provided process transparency and visibility to all employees, increased organizational efficiency, and supported the identification and adaptation of standard and regulation requirements.
Operational Impact
Quantitative Benefit
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