Full-Time Engineer -in- Training Industrial Engineering 2022 Intake ( X83 ) at KNZ
Job Description
Sappi Southern Africa requires an Industrial Engineer -in- Training to complete a two-year comprehensive training programme 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 –
Application of the Celonis diagnostic system to mine primarily key business processes using SAP to;
Measure process capacity, visualise 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 harmonisation in the business;
Bring the focus of pain points of organisation 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
At Sappi, we are vaccinated and expect all new employees to be vaccinated when joining our One Sappi family. Show us your support by submitting your vaccine card when applying for our vacancies.
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