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PDS Tech Inc Industrial Engineer in Rochester, New York

PDS Tech, Inc. is seeking an Industrial Engineer in Rochester, NY

Job Description:

  • The Industrial Engineer is responsible for leading continuous improvement initiatives, fostering a continuous improvement and putting standards in place for Reload Project.

  • This individual will work closely with the Value Stream Leadership Teams and Engineering Team to identify and implement best practices for matrix Reload project

Key Responsibilities:

  • Partner with Value Stream Leadership and Engineering Team to ensure there is an active pipeline of PPI projects aligned to business priorities, metrics and results.

  • Identify and implement opportunities to improve continuous improvement processes, practices and results.

  • Partner with Operations to ensure solutions are successfully implemented and are delivering intended results. Take appropriate countermeasures as needed if results are not as expected.

  • Identify and pursue synergy opportunities across projects, issues and areas.

  • Lead/facilitate PPI projects as required.

  • Act as a Role Model Leader, with a positive mindset and a passion to achieve short- term and long-term goals.

  • Partner with other PPI Leaders internally and externally to share best practices.

  • Performs all job duties in a safe manner, consistent with the Code of Ethics and the 4-I Values, and follows all ISO standards, Company and site policies and guidelines, and regulatory or statutory requirements.

  • Design & develop manufacturing systems for new processes, or revisions to existing processes, working as a team with other Engineering disciplines. This includes cell layouts, ergonomic designs, labor utilization, line balancing, etc.

  • Establish operational methods and work standards utilizing knowledge of method analysis, time studies, work sampling and delay studies.

  • Develop & implement operator standard work while increasing productivity and reducing bottlenecks to meet production needs. Identify and create opportunities for flow in manufacturing.

  • Analyze existing operations and propose improvements. Study people, machine, & equipment capacity and determine & implement actions to improve productivity by optimizing the use of floor space, materials, personnel, and equipment. Perform complex capacity analyses in a mixed model environment.

  • Lead / Participate Kaizen events to establish optimal manufacturing processes, methods and procedures to assure quality and cost effectiveness.

  • Provide technical assistance and expertise to manufacturing in problematic situations, striving for data driven process improvements, implementing corrective action and training as required.

  • Evaluate, recommend, and participate in selection of equipment for secondary operations, assembly, packing, and material handling operations. Prepare Capital Appropriation Request for related projects.

  • Collaborate with Lean PPI Teams, providing assistance as required for implementation of 5S, Lead-time reduction, one-piece flow, optimum plant layout, etc.

  • Support Practical Process Improvements (PPI) and Cost Improvement Projects (CIP) as a regular practice in day-to-day operations.

  • Monitor adherence to recommended safety procedures and good housekeeping.

  • Establish and maintain manufacturing specifications, i.e., Standard Work, Routings, and other related technical input and documentation.

  • Assist in planning new facilities and operations.

  • Provide information and recommendations for various management systems.

  • Performs other duties and responsibilities, as needed.

Minimum Requirements/Qualifications:

  • Bachelors degree in Industrial Engineering strongly preferred; equivalent applicable work experience may be considered.

  • At least 2 years of experience with Continuous Improvement methodologies, tools and application.(Co-ops apply)

All qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, disability, veteran status, age, marital status, pregnancy, genetic information, or other legally protected status.

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