Job
Description
Essential Duties And Responsibilities
The primary responsibility is to develop and optimize manufacturing processes This includes: Designing and improving manufacturing systems and processes to increase productivity and reduce waste Establish the process standards precisely that shall control the process to produce desired results Select and design appropriate equipment, systems, and machinery for optimal production Implementing process control techniques and equipment which ensure consistent product quality Process FMEA, Control Plan, WI /SOPEstablish clear linkage of the process controls & link it do periodical audit check lists LayoutApply scientific tool to design & relay-out existing lines to comply with lean concepts Design, Select & Maintain records for equipment, tools, jigs & fixtures for in house process Developing innovative solutions to complex engineering issues Ensure product and process quality by designing and implementing testing methods and quality control measures Collaborate with production teams, quality assurance, management, and other stakeholders to integrate improvements and new technologies Identify Opportunities to improve Material Utilization Index by optimizing material usage & also improving yield Process Validation & improvements at defined frequency & whenever changes are required to improve process Identify opportunities to reduce S&D% significantly by correcting or establishing the right process standards Training and supervising staff in new development processes and technology Apart from above strategic responsibilities, Manufacturing Process Engineers undertake several daily tasks, including: Collaborating with design engineers and other team members to set up production methods that are cost-effective and efficient Conducting tests and evaluations on processes, making necessary adjustments to processes and equipment to meet quality standards Maintain proper documentation on Process validation & DOE results for all audits not limited to QMS, IATF Documenting procedures and process changes to maintain a high level of operational safety and compliance with industry standards Maintaining reliable and safe manufacturing systems while improving production rates, efficiencies, yields, costs, and changeovers Monitoring and analyzing metrics while developing new continuous improvement opportunities Utilizing process simulation software to test and find the most appropriate production strategies Periodical Reporting to management on Department performance, process changes, improvements and challenges [MIS] Keys to Success Technical: Must possess strong conceptual and analytical skills Working knowledge of TPS/6-Sigma procedures, such as KAIZEN, Line Balancing, Error-Proofing, SMED, SPC and Standard work Good at Problem solving or skills like Six Sigma belts Should be well versed in Auto CADD or related software Motors (Torque & Speed control), PID controls & basic instrumentation/electrical skills will be an added advantage Behavioural: Leadership skills Strong organizational skills, Team player, Inter-personal skills Self-motivating, self-starter, Independent working, go getter, initiative and speed , effective time and resource management Good communication skills(oral & written) ,good math skills Team building and empowerment, and ability to lead and direct others Ability to plan & schedule, and prioritize , supervisory skills Supervisory Responsibilities Reports to technical / Mgf Engg manager Shall be responsible for implementing Standard Work, Process Improvement & Poke Yoke in line with GPS Should have a desired level of IQ whereby, the candi can be considered as Subject Matter Expert (SME) for Standard Work/Error Proofing etc He/she should be capable to redesign the process to enable it error free Requirements And Preferred Skills Graduate in Mechanical/Industrial Engineer or a related field with Min 10 years relevant experience in the automotive / engineering or rubber industries Proven experience in process engineering, preferably in the specific industry of focus Certifications in Lean Manufacturing, Six Sigma, or other related business and production methodologies are highly desirable Strong analytical skills and proficiency in statistical analysis and process optimization tools
