Sappi Southern Africa requires an Industrial Engineer -in- Training to complete a two-year comprehensive training program that contributes the knowledge and practical requirements to become proficient in data mining, mapping, and improving current business processes and 30% Advanced Analytics in the business.
The main responsibilities of the role would be:
Business process data mining and value stream mapping –
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- Application of the Celonis diagnostic system to mine primarily key business processes using SAP to; Measure process capacity visualize how they run in practice, and identify gaps;
- Define which gaps have the greatest impact and design the process to close these out;
- Act in real-time to close gaps and increase process capacity with automation, bots, and recommendations;
- EIT will attend the Celonis Academy for training in the tool in mid-May;
- Will form part of a team including a data mining resource, business resource, and Industrial Engineer;
- Some key business process areas include order-to-cash, contract life cycle management, and procurement;
- Understand and learn from existing processes (Value stream mapping based on facts and figures);
- Use learnings for further developments and support unified process design for new process harmonization in the business;
- Bring the focus of pain points of organization and improve them;
- Detection of non-value-adding work (manual work) – a prerequisite for digitalization;
- Set the right priorities where process improvements will drive tangible value;
- Improve the current situation by 5-10%;
- Improve “Promise to delivered-ratio” by 50% (at the moment 22%) to become a real customer-centric organization;
- Support control process to detect processes that are out of control;
- The scope will be developed in the following project phases; Goal setting workshop
- Data extraction
- Process connections
- Process discovery and analysis
Advanced Analytics (30% of the time) –
- EIT will train on the use of the RapidMiner and Braincube machine learning and data science tools;
- Specific process improvement projects will be provided to the EIT at various mills to improve OEE by; Diagnose where variation is primarily coming from;
- Design the variation out of the process;
- Develop soft sensors (predictors) to control the process and feed into current control systems;
- Apply a Lean Six Sigma DMAIC process to manage the overall process
The ideal candidate should have:
- Bachelor of Science or Bachelor of Engineering in Industrial Engineering
- Computer literacy
- No prior work experience is required
- Candidates will need to travel to the Mills in KZN as and when required