Industrial Engineer

Direct message the job poster from Universal Avionics

Universal Avionics has been a pioneer in avionics technology for over 40 years. We are a leading manufacturer of innovative solutions that enhance aviation safety, reliability, and operational efficiency.

Our portfolio includes Head-Down Displays (HDD), Head-Up Displays (HUD), Head Wearable Displays (HWD), and Combined Vision Systems (CVS), featuring Enhanced Vision System (EVS) and Synthetic Vision System (SVS) technologies. We deliver both retrofit and forward-fit solutions across a wide range of aircraft types, serving commercial airlines, cargo operators, business aviation, and special missions worldwide.

Summary

The Industrial Engineer (IE) is responsible for optimizing efficiency, reducing waste, and increasing productivity in the company’s manufacturing system. The IE will design and develops production layouts for the company’s production to increase productivity and quality standards. Their main duties include reviewing current production schedules and processes to find potential improvements, designing the layouts of the facilities and estimating production costs.

This position requires a blend of technical and analytical skills, including proficiency in data analysis, computer programming, and knowledge of manufacturing processes. Industrial Engineers must also have excellent communication skills to work effectively with team members, managers, and clients.

Essential Duties and Responsibilities include the following. Other duties may be assigned.

• Process Improvement:
  Analyze existing workflows and processes to identify inefficiencies and areas for improvement. Employ methodologies such as Lean Manufacturing and Six Sigma to streamline operations and eliminate waste.
• Workplace Design:
  Design and optimize facility layouts, considering factors like space utilization, material flow, ergonomics, and safety to create efficient and ergonomic workplaces.
• Production Planning:
  Utilize production schedules and coordinate services to maximize productivity. Assess workforce requirements and design work schedules to optimize resource allocation.
• Quality Control:
  Implementing quality control procedures is a key responsibility. Partner with Quality to develop and enforce standards to ensure product or service quality, conducting regular evaluations to maintain compliance.
• Data Analysis:
  Utilizing data analysis tools, gather, interpret, and report on process performance. This data-driven approach aids in informed decision-making and continuous improvement initiatives.
• Project Management:
  Lead or contribute to project management efforts, coordinating tasks, setting timelines, and managing budgets to ensure successful project execution.

Competency

To perform the job successfully, an individual should demonstrate the following competencies.

• Continuous Improvement
  : A focus on continuous improvement methodologies, such as Lean and Six Sigma, is essential for enhancing productivity and reducing waste in manufacturing processes.
• Data Analysis
  :
  Proficiency in quantitative analysis and statistical methods for making data-driven decisions.
• Engineering Principles
  : A strong foundation in engineering principles is essential, including knowledge of manufacturing processes, product design, and quality control.
• Critical Thinking
  :
  Must possess strong problem-solving skills to identify inefficiencies and develop effective solutions. This includes analyzing issues, designing resolutions, and implementing changes.
• Planning and Coordination
  :
  Excel in project planning, coordinating resources, and ensuring that projects are completed on time and within budget. This involves managing people, processes, and tools through collaboration with all stakeholders.
• Interpersonal Communication
  :
  Effective communication is critical working with cross-functional teams. Ability to convey complex ideas clearly and persuade stakeholders to adopt new processes.
• Embrace Technology
  :
  As industries evolve with advancements in automation and data analytics, must be adaptable and willing to learn new technologies and methodologies to…