Process Improvement Engineer Manufacturing

2021-12-27 10:47:262022-06-17 Asset Appointments
Job Type Permanent Full Time
Location Great Harwood, Blackburn
Area Lancashire, England Lancashire England Great Harwood, Blackburn
Sector Engineering & Manufacturing
Salary Competitive Salary Commensurate with Experience and Expectations
Currency GBP
Start Date ASAP
Advertiser remoteapi
Job Ref AA TR 1591E
Job Views 169
Our client is an established, award winning and world leading manufacturing business, with strong and sustained investment in people, capital and plant.  They design and manufacture bespoke products for use across several sectors for some of the largest OEM’s in the UK and internationally. They possess a strong set of values, and their team work, culture and ethics are at the root of their success.
Due to continued growth, our client is seeking to appoint an experienced Production / Manufacturing / Process Improvement Engineer. Tasked with increasing productivity, quality, and profitability through keen data analysis and process design, the successful candidate will be significantly involved in improving operations and providing efficient resolution of production issues, while maintaining or improving safety, developing, evaluating and documenting manufacturing methods and processes through Lean techniques and Kaizen events. The successful candidate may also undertake responsibility as a Subject Matter Expert e.g. SMED supporting the Division within the greater organisation.
Applying specialist and detailed mechanical and electrical engineering expertise
Developing best practices, routines and innovative solutions to improve production rates and quality of output
Achieving key metrics e.g. manufacturing costs, productivity and on-time delivery
Maintaining and improving process capabilities using appropriate tools and methodologies including PFMEA Poke-Yoke, OEE, FEA DOE, and PPAP
Effective planning of activities and projects 
Monitoring performance against deadlines and milestones and initiating corrective action as needed to ensure successful project delivery ensuring expenditure productivity and quality targets are met; 
Inputting and analysing data and all other sources of information to help identify successful workflows to optimize processes and to suggest improvements and new initiatives.
Reviewing KPI monitoring systems and determines ways to improve ability to maintain operations
Support NPI activities in preparation of successful product or process launches
Work collaboratively with external suppliers to ensure equipment is maintained efficiently and critical spares are available
Supporting Operations teams on root cause analysis
Supporting the creation of training documentation and delivering training where appropriate (mentoring associates e.g. apprentices, technicians to increase individual and team understanding and capability in the subject area)
Involvement is effective supplier selection: obtaining competitive quotes for spares and equipment repair/maintenance services. Monitoring and controlling costs and reviewing performance of budgets and initiates 
Ensuing quality standards and practices are incorporated into process operation, setting high standards for equipment output and standard adherence. 
Bachelor’s degree or HND/HNC in Mechanical Engineering, or similar, ideally apprentice trained
Lean or 6 Sigma Green Belt (desirable)
Experience of working within a high volume manufacturing/production environment
Previous experience of working in cross-discipline teams
Experience of managing projects including budgetary management
Knowledge product liability/warranty processes
Application of PFMEA, OEE, FEA, 
A sound knowledge of manufacturing processes, 
An understanding of polymers, synthetic polymers and non-polymer components and application would be advantageous
Product portfolio and application, sound application of static and dynamic sealing principles;  
Ability to read and interpret technical documents; knowledge of routing for cost card generation
Experience of complex data analysis using 6 Sigma and Lean tools, problem solving
Proficient knowledge and application of MS Office; knowledge and application of ERP systems, reporting tools, document management systems, data analysis tools.
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