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# Industrial Engineer, Material Flow and Logistics Operations

- **Company:** Ford Motor Company
- **Location:** Dearborn, MI, United States
- **Experience:** Experienced
- **Salary:** $72,480.0 - $162,120.0
- **Contract:** Permanent contract
- **Skills:** Microsoft Excel, Artificial Intelligence, Business Analytics Applications, Discrete Event Simulation, Python (Programming Language), Operational Data Store, Productivity Software, Power BI, SQL Databases, Data Analytics, Alteryx
- **Published:** October 28, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=f99cfa5dbb60bb55

## About the Role

* Bachelors degree in Industrial Engineering or Manufacturing Engineering
 * 4+ Years Experience applying industrial engineering methods in manufacturing, logistics, warehousing, material handling, or supply-chain operations.
 * 2+ years of experience with discrete-event simulation or material-flow simulation tools.
 * Proficiency in Power BI, Excel, SQL, Python, Alteryx, or similar data and automation tools.
 * Working knowledge of:
 + Lean manufacturing
 + Gemba
 + Value-stream mapping
 + Standardized work
 + Labor and productivity analysis
 + Capacity and throughput analysis
 + Process optimization
 + Root-cause problem solving
 * Ability to analyze operational data and convert findings into practical improvement actions.

Even better, you may have...

 * Masters degree in Industrial Engineering, Manufacturing Engineering or Operations Research
 * Experience conducting work-measurement studies using MODAPTS, MOST or comparable predetermined-motion-time systems.
 * Lean Six Sigma Green Belt, Black Belt, or comparable lean certification.
 * Experience developing dashboards, analytical models, automated workflows, or AI-enabled operational tools.
 * Experience supporting Tier 1 supplier assessments or operational improvement activities.

## Description

* Conduct Gemba studies and current-state assessments across manufacturing and material-flow operations.
 * Develop value-stream maps to identify bottlenecks, waste, congestion, capacity constraints, and non-value-added activities.
 * Analyze labor requirements, work content, utilization, throughput, and operational capacity.
 * Develop and standardize labor methods using recognized industrial engineering and work-measurement practices.
 * Support process simulation and scenario analysis to identify labor, material-flow, and capacity opportunities.
 * Lead Kaizen and continuous-improvement activities that improve safety, quality, delivery, cost, and productivity.
 * Establish repeatable operating standards and support the deployment of best practices across multiple sites.

Material Flow and Supply Chain Optimization

 * Analyze end-to-end material flow from supplier locations through warehouses, off-dock facilities, manufacturing plants, and the point of fit.
 * Identify opportunities to reduce handling, travel distance, congestion, inventory, and other non-value-added activity.
 * Improve material presentation, storage, routing, replenishment, dock operations, and point-of-fit delivery processes.
 * Support material-cost and operational-efficiency studies at Tier 1 supplier locations.
 * Work with Supplier Technical Assistance and other stakeholders to assess and improve supplier material-flow operations.

Launch and Forward-Model Support

 * Support MP&L requirements development and labor analysis for forward-model and manufacturing launch programs.
 * Participate in launch-readiness reviews and identify material-flow, labor, capacity, process, and infrastructure risks.
 * Support supplier audits, launch reviews, and post-Job 1 operational stabilization activities.

Data, Digital Tools, and Automation

 * Use data and analytics to identify operational trends, constraints, and improvement opportunities.
 * Develop dashboards and performance measures that track productivity, utilization, throughput, labor efficiency, and improvement implementation.
 * Apply Power BI and other analytical tools to enable fact-based operational decisions.
 * Support the development and enhancement of agentic, AI-enabled, or automation solutions for opportunity identification and efficiency analysis.
 * Translate complex operational data into clear recommendations for plant and functional leadership.

Cross-Functional Collaboration

 * Partner with MP&L, Manufacturing, Plant Industrial Engineering, Purchasing, Supplier Technical Assistance, Finance, Launch, FPS, IT, and supplier teams.
 * Facilitate cross-functional workshops to align on current-state conditions, improvement opportunities, ownership, and implementation plans.
 * Communicate findings, risks, savings opportunities, and recommendations to leadership and operating teams.
 * Build strong working relationships across plants, suppliers, and third-party facilities.