Job Description

Key Responsibilities

1. Dynamic Scheduling: Efficiently manage customer jobs, crafting requirements based on real-time inventory data.
2. Data-Driven Insights: Utilize advanced analytics tools to uncover production bottlenecks, inefficiencies, and growth opportunities, empowering continuous improvement.
3. Analytics-Aided Decision Support: Develop and refine analytical tools and reports to fuel daily production decisions, prioritizing tasks for maximum efficiency.
4. Engineering Excellence: Apply cutting-edge Industrial Engineering practices to assess process constraints and recommend redesigns for enhanced productivity.
5. Collaborative Innovation: Work hand-in-hand with the management team and shop floor personnel to implement continuous improvement initiatives and drive operational excellence.
6. Empowerment through Training: Provide comprehensive training to production personnel, ensuring mastery of scheduling tools for optimized performance.
7. ERP Expertise: Collaborate seamlessly with production to meet and exceed customer requirements through effective use of the Epicor ERP system.
8. Streamlined Operations: Conduct thorough reviews of planning reports, proactively identifying shortages and initiating necessary actions to maintain smooth operations.
9. Agile Execution: Determine precise production requirements and expedite orders/jobs as needed to maintain workflow integrity.
10. Customer-Centric Support: Support sales staff by providing vital customer service functions, including generating customer-facing schedules, seamless order processing, and shipment verification.
11. Judicious Execution: Exercise sound judgment within established procedures to ensure timely and effective actions.
12. Safety: Compliance with safety standards and policies will be graded as part of job performance.

Additional Responsibilities

1. Efficiency through Automation: Utilize ERP systems to automatically generate manufacturing work orders, streamlining operations and reducing manual effort.
2. Transparency Reporting: Deliver insightful status reports on production progress, customer information, and materials inventory, fostering informed decision-making.
3. Inventory Management: Assist in managing finished goods inventory to maintain optimal stock levels and meet customer demand.

Qualifications

1. Experience: Possess a minimum of 3 years of hands-on experience in production planning & control, operations scheduling, and shop floor management, showcasing proficiency and reliability.
2. Certification: Hold certifications in production planning and scheduling, with expertise in related topics like demand forecasting and master production scheduling, demonstrating commitment to professional development.
3. ERP Proficiency: Exhibit advanced proficiency in ERP systems like Epicor or equivalents such as Global Shop, Job Boss, or Pro Shop, showcasing technical acumen and adaptability.
4. Scheduler Mastery: Command a working knowledge of commercial schedulers like Tactic, OpCenter, Planet Together, etc., demonstrating versatility and readiness to tackle diverse challenges.
5. Lean Manufacturing: Demonstrate experience in lean manufacturing practices adapted for high mix, low volume manufacturing environments, showcasing agility and innovation.
6. Analytical Skills: Possess strong SQL and other analytics skills (e.g. Excel, Power BI, etc.) for querying and analyzing data from ERP/MES systems, enabling insightful decision-making and data-driven optimizations.
7. Methodological Expertise: Exhibit expertise in process analysis, production scheduling/planning, and continuous improvement methodologies, ensuring efficiency and effectiveness.
8. Communication Skills: Possess excellent communication abilities to bridge technical and operational teams effectively, fostering collaboration and synergy.
9. Problem-Solving Acumen: Be self-motivated with robust problem-solving and decision-making skills, showcasing resilience and adaptability in fast-paced environments.

Desired Qualification

1. Advanced Degree: Hold a Master's degree in Industrial Engineering, Operations Research, or a related quantitative field, demonstrating academic excellence and expertise.

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