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We’re looking for a Process Engineer to bring P.R.I.D.E. to our Engineering team.
Job Responsibility:
Strive for zero accident and quality losses
Drive overall operational and performance reduction losses in OEE by ensuring capture and analysis of process and quality data to identify opportunities and create solutions
Perform Root Cause Analysis on OEE losses (i.e. operational and performance losses)
Execute projects to improve performance, reduce losses and costs
Prepare documentation for process specifications, procedures, and work instructions
Develop operational standards and keep them updated, auditing their correct application on the shop floor
Train and mentor production staff on new processes and best practices
Exchange good practices with the Process Engineers of the other AMUs
Implement Lean Manufacturing (OMEX) principles to drive continuous improvement
Develop, execute and optimize product/size changeovers
Actively participate in the development of the Capex projects, providing process input to the Engineering/Projects team
Requirements:
Bachelor’s degree or equivalent in Computer Engineering, Industrial Engineering or related
2 years of experience in the job offered or a related disposable diaper manufacturing occupation
2 years of experience in each of the following: Executing lean principles, including SS methodology, Autonomous Maintenance, Kaizen events, Standardized work practices, SMED, and Gemba walks (on-site observation)
Utilizing tools and techniques to resolve process and quality losses (Root Cause Analysis, FMEA, Process mapping, and Problem-solving workshops)
Leading root cause analysis for operation and performance losses (5 Whys, Fishbone diagram analysis, Data-driven analysis, Cross-functional team facilitation for problem solving) and conducting failure investigations and reporting
Developing operational standards, keeping them updated and auditing their correct application on the shop floor
Proficient in Microsoft Excel (advanced functions, macros), experience with ERP systems (SAP), Lean manufacturing software (Minitab, or other process analysis tools), data visualization tools (Power Bl), and Manufacturing Execution Systems (MES)