- MUST HAVE RELIABILITY ENGINEERING EXPERINCE and an ENGINEERING DEGREE
- 4 years' experience with Reliability Engineering. Also, problem solving using root cause analysis. Must be able to explain.
- 4 years' experience with any type of predictive maintenance technology. Must be able to explain.
- 4 years' experience in planning & scheduling maintenance work
- 4 years' experience examining defects and issues identified during Preventive Maintenance (PM), Predictive Maintenance(PdM)
- Good communication skills
- A strong team player
- Working with various plant teams and areas to identify, evaluate, and implement reliability improvement opportunities through changes to operating and maintenance procedures, and equipment upgrades.
- Analyzing equipment history to identify reliability improvement opportunities.
- Deploying root cause analysis methods and tools on problems or failures that have resulted in consequential impacts related to machine downtime and / or maintenance expense.
- Participating in new equipment selection and deployment processes to ensure reliability and maintainability principles are included in the design and implementation activities.
- Supporting the Autonomous Maintenance process by contributing to the design and selection of operator inspections and tasks to sustain equipment condition and performance.
- Planned corrective maintenance is more effective than reactive maintenance.
- Time based preventive maintenance is more effective than plan corrective maintenance.
- Condition based (predictive) maintenance is more effective than time based preventive maintenance.
- Prevention of maintenance is the best comprehensive maintenance strategy.
- Participating in audits to measure and validate progression and performance in the reliability journey.
- Utilizing Reliability Centered Maintenance (RCM) principles to optimize the equipment maintenance strategy.
- Serving as a subject matter expert of the Computerized Maintenance Management System (CMMS) and assist in end user training efforts to ensure master and transactional data integrity and accuracy.
- Serves as the facility RCA process champion and participates in failure analyses to identify corrective actions to eliminate failure modes or reduce the consequence of failure.
- Interacts with reliability engineers at other plants to share findings from failure analyses along with solutions to problems identified.
- Monitors equipment MTTR (Mean Time To Repair) and MTBF (Mean Time Between Failure) performance to identify reliability improvement opportunities.
- Examines defects and issues identified during Preventive Maintenance (PM), Predictive Maintenance (PdM) activity and utilizes this information for PM optimization.
- Participates in new and modified equipment design and installations.
- Assists in spare part reviews to ensure adequate stocking levels as determined by consumption due to normal wear and failure frequency.
- Identifies risks of obsolescence and proposes mitigation strategies.
- Introduces tools and techniques in performing preventive and predictive maintenance activity and prescribes frequency of activity through CMMS maintenance plans.
- Provides training and support of precision maintenance processes such as alignment and balancing.
- Develops a world class lubrication program and monitors performance and execution.
- Supports autonomous activities and provides skills training to operations team members.
- Drives proactivity performance through supervision of planners and participation in scheduling activities with planners and coordinators.
- Ensures CMMS users have been trained in system utilization, and audits activity to sustain system integrity.
- Serves as a SAP PM subject matter expert for the plant.
- Candidate must be a degreed engineer with a minimum of 5 years of experience working in a manufacturing environment with focus on reliability and maintainability.
- The Reliability Engineer must possess a thorough knowledge of methodologies including Failure Modes and Effects Criticality Analysis (FMECA), Root Cause Analysis (RCA), Reliability Centered Maintenance (RCM), and Total Productive Maintenance (TPM).
- Must be able to train others on reliability activities while also capable of facilitating analyses that utilize reliability methodologies.
- The Reliability Engineer must also be familiar with common condition based, predictive technologies such as vibration, thermal, ultrasonic, oil and circuit analyses.
- Functional/Technical Skills
- Problem Solving
- Decision Quality
- Total Work Systems
- Drive for Results
- Motivating Others
- Building Effective Teams
- Equipment Reliability – Mean Time Between Failure (MTBF)
- Equipment Maintainability – Mean Time to Repair (MTTR)
- RCA investigations and corrective actions completed
- Cost avoidance through effective PM / PdM inspections
- PM Compliance and Yield
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Description
TWO Reliability Engineers (Root Cause Analysis, Planning Maintenance, Defects & Issues, Preventive Maintenance, Predictive Maintenance) in Carrolton, GA
4 Years of experience
POSITION: TWO Reliability Engineers (Root Cause Analysis, Planning Maintenance, Defects & Issues, Preventive Maintenance, Predictive Maintenance)
DURATION: Full-Time Position
LOCATION: Carrolton, GA (Onsite Position – NO Remote)
SALARY: Excellent compensation with benefits + 401K + relocation
SKILLS: Reliability Engineer, Root Cause Analysis, Predictive Maintenance Technology, Planning & Scheduling Maintenance, Identifying Defects & Issues, Preventive Maintenance (PM), Predictive Maintenance (PdM), MTTR (Mean Time to Repair) and MTBF (Mean Time Between Failure)DESCRIPTION:
Must-Haves:
Nice-To-Haves:
JOB DESCRIPTION:
The Reliability Engineer champions the implementation of reliability best practices. This role will also evaluate new best-known methods and technologies to continuously improve equipment reliability.
Key aspects of this position include:
Promoting the following reliability strategies:
ROLE and RESPONSIBILITIES:
KNOWLEDGE AND EXPERIENCE:
LEADERSHIP AND TECHNICAL COMPETENCIES REQURIED:
ADDITIONAL INFORMATION:
Performance Measures and Indicators utilized to measure the effectiveness:
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