{"schemaVersion":"1.0","exportedAt":"2026-05-15T12:40:50.199Z","occupation":{"soc":"17-3026.00","title":"Industrial Engineering Technologists and Technicians","group":"Architecture & Engineering","sector":"54","jobZone":3,"jobZoneInferred":false},"framework":{"version":"v.26.05","description":"","contextCovered":"This framework covers quality assurance testing, statistical analysis, time-and-motion study, production scheduling, and process improvement performed by industrial engineering technologists and technicians in manufacturing and light-industrial environments across all career stages from entry-level to lead practitioner.","levels":{"emerging":{"label":"Emerging","statements":["Product samples at designated checkpoints — test for basic performance characteristics under direct supervision on a manufacturing floor.","Specification sheets and worker logs — read and compare against quality assurance standards with guidance from a senior technician.","Statistical data from production runs — collect and enter into analytical software following established templates in a manufacturing environment.","Equipment operation practices — observe and document worker performance against posted quality assurance checklists during supervised floor walks.","Time-and-motion study procedures — assist in recording task durations and cycle times at assigned workstations under technician direction.","Basic CAD drawings and process diagrams — interpret to locate measurement points and verify part dimensions on a production line.","Production schedule reports — review to identify assigned tasks and flag anticipated delays to a supervising engineer.","Standard hand tools and measuring instruments — use to perform dimensional checks on finished components following written work instructions.","Industrial control software interfaces — navigate under supervision to retrieve real-time production data in a light-manufacturing setting.","Quality discrepancy findings — communicate verbally and in brief written notes to the immediate supervisor at end of each shift."]},"developing":{"label":"Developing","statements":["Statistical quality data from multiple production shifts — compile, analyze, and summarize trends using analytical software with minimal oversight in a mid-size facility.","Worker performance logs and processing sheets — review routinely and flag non-conformances to quality assurance specifications before product advances to the next stage.","Time-and-motion observations — conduct independently across familiar workstations and calculate standard production rates using established industrial engineering methods.","Equipment maintenance and operation records — verify compliance with quality standards by performing regular scheduled audits on the production floor.","Work assignment plans — support supervisors by analyzing machine capacity data and worker output metrics to recommend task distributions for upcoming production runs.","Materials requirements planning software — use to cross-reference inventory levels with production schedules and identify supply constraints in a manufacturing environment.","Product test results — evaluate against specification tolerances and prepare clear written reports for engineering review using standard departmental templates.","Efficiency improvement opportunities — identify by comparing observed cycle times with established benchmarks and propose corrective actions to the engineering team.","CAD and CAM software — use to retrieve and mark up process drawings that support layout changes or tooling updates on the shop floor.","Technical findings and quality metrics — present in team meetings using clear, organized verbal explanations tailored to production supervisors and peers."]},"proficient":{"label":"Proficient","statements":["Full-scope product testing programs — design and execute independently across all specified production stages to validate performance and adherence to engineering specifications.","Complex statistical datasets from ongoing production — analyze using advanced analytical software to determine root causes of quality or reliability failures in a high-volume facility.","Non-routine efficiency problems — resolve by applying systems analysis and operations analysis techniques to redesign work methods or rebalance production lines.","Quality assurance audits — lead across multiple departments, reconciling worker logs, specification sheets, and equipment records to ensure systemic compliance.","Standard production rates — establish or revise by conducting rigorous time-and-motion studies and applying inductive reasoning to account for variable operating conditions.","Work assignment schedules — develop autonomously by integrating machine capacity constraints, worker skill levels, and fluctuating production demands in a dynamic manufacturing environment.","Industrial control and MRP software — configure and interrogate to model production scenarios and support data-driven process improvement decisions.","Cross-functional quality concerns — diagnose and communicate through well-structured technical reports and presentations delivered to engineering, operations, and management stakeholders.","New measurement or testing technology — evaluate for fit with existing production systems and recommend adoption based on cost-benefit and capability analysis.","Junior technicians and apprentices — guide through hands-on coaching on quality testing procedures, data interpretation, and equipment use on the production floor."]},"advanced":{"label":"Advanced","statements":["Organization-wide quality and reliability strategy — develop and champion by synthesizing production data, industry standards, and engineering best practices across a multi-line manufacturing enterprise.","Industrial engineering technician teams — lead and mentor, setting performance expectations, structuring development plans, and cultivating a culture of precision and continuous improvement.","Enterprise-level efficiency initiatives — direct by applying systems evaluation methods to identify systemic waste, redesign workflows, and quantify productivity gains across facilities.","Capital investment decisions for production technology — inform by authoring rigorous feasibility analyses that integrate CAD/CAM capabilities, equipment ROI, and process compatibility data.","Standardized work measurement and quality assurance frameworks — author and implement at organizational scale, ensuring consistency across departments, shifts, and plant locations.","Production planning governance — establish by designing capacity allocation models and scheduling policies that align engineering capacity with long-range business objectives.","Cross-departmental quality non-conformance patterns — investigate at root-cause level and drive corrective action programs that integrate operations, engineering, and supply chain stakeholders.","Emerging analytical and industrial control technologies — evaluate, pilot, and integrate into existing production ecosystems, translating technology design concepts into operational advantage.","Technical documentation and quality reporting standards — define for the organization, ensuring written outputs meet regulatory, customer, and internal audit requirements.","Organizational learning in industrial engineering practice — foster by designing training curricula, leading knowledge-transfer sessions, and institutionalizing lessons learned from production improvements."]}}},"sources":{"onet":"v30.2 (CC BY 4.0)","crosswalk":"https://skillscrosswalk.com","generator":"LER.me"},"attribution":"© EBSCOed"}