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Reliability Engineer

Pittsburgh Glass Works
United States, Pennsylvania, Tipton
Nov 09, 2024

Reliability Engineer


ID
2024-2310

Category
Maintenance

Position Type
Full-Time


Location : Location

US-NC-Elkin



Overview

This role will lead the implementation, continuous improvement, and sustainability of reliability systems and processes within the manufacturing site. The reliability engineer is to identify and manage asset reliability risks that could adversely affect plant or business operations. This position selects engineering techniques to solve problems and makes recommendations including the coordination of projects for process improvements. This position requires a college degree in Reliability, Mechanical or Electrical Engineering with five+ or more years' experience.



Responsibilities

    Responsible for the implementation of reliability concepts including development of root cause analysis, reliability centered maintenance, predictive maintenance technologies, and preventive maintenance development/optimization to achieve high levels of availability of plant assets.
  • Driving increased production and uptime using reliability tools and processes, including root cause failure analysis (RCFA), and failure mode effects analysis (FMEA)
  • Provide technical and engineering support and troubleshooting advice to maintenance and various operational areas
  • Subject matter expert in the design and operation of rotating equipment, development of equipment strategies (including lubrications, condition monitoring, and preventive maintenance) and management of mechanical integrity (including tanks, pressure vessels, and piping).
  • Work closely with both operations and maintenance in the development of long-term equipment maintenance strategies and operator basic care (OBC
  • Provide technical expertise to the site with field application of precision maintenance techniques. Provide training, field coaching and mentoring of maintenance supervisors and craftsmen.
  • Deliver a strategic reliability centered maintenance approach to optimizing asset life and productivity through documented asset strategies.
  • Develop and implement best practices for assets to improve mean time between failures (MTBF)
  • Mine data to identify reliability improvement opportunities and develop corrective actions focused on delivering net hours improvement and cost reduction.
  • Develop engineering solutions to repetitive failures and all other problems that adversely affect plant operations. These problems include capacity, quality, cost or regulatory compliance issues.
  • Identifies deficiencies in maintenance processes and develops sustainable improvements
  • Provides input to risk management plan that will anticipate reliability-related and non-reliability-related risks that could adversely impact plant operation.
  • Lead the defect elimination process for root cause analysis and corrective action.
  • Support area teams in achieving production/cost goals through reliability leadership
  • Support risk-based inspection of fixed assets
  • Provide technical support for operational and maintenance teams.
  • Generate statistical reviews of equipment maintenance history and production loss


Qualifications

The incumbent must have and demonstrate a comprehensive understanding of engineering principles and sound technical judgment. Knowledge of human relations and the ability to work with all levels of employees. The incumbent must have a Bachelor's degree in Reliability, Electrical or Mechanical Engineering or similar field or the equivalent experience in a manufacturing setting, along with a minimum of five years of maintenance manufacturing and technical experience, preferably in the automotive sector, using best practices in maintenance activities and work processes. A minimum of three of these years must be in a leadership role preferably within aa maintenance department. The incumbent must have basic computer skills and be proficient in Microsoft Office Excel, Word, Outlook and preventative maintenance software systems. Knowledge of SAP is preferred.

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