Operations Supervisor (2nd Shift) - O'Neal Steel / Peru, IL

all O'Neal Industries' Affiliates•Peru, IL

18d•Onsite

About The Position

O’Neal Steel is seeking an Operations Supervisor for its Peru, Illinois facility. The role supervises the processing, loading, and shipping of orders to meet customer quality and delivery expectations while maintaining safety and cost standards. As the first-line liaison between hourly production employees and management, the supervisor represents the company’s views and interests on the shop floor and supports the hub-and-spoke structure by being fast, accurate, and dependable. The supervisor oversees warehouse and delivery employees, production schedules, workflow, employee training, quality, safety, housekeeping, and operating budgets. The role coordinates equipment and facilities maintenance and works with other departments to resolve customer issues and improve operational results. Processing duties include preparing and adjusting production schedules, coordinating workflow, expediting overdue orders, managing work-order dates, and using ShopLogix and variance reports to improve production efficiency and accuracy. The position is scheduled for the second shift, 2:30 p.m. to 11:00 p.m., Monday through Friday. O’Neal Steel describes itself as a third-generation family-owned metals service center with more than 100 years in business, supplying carbon and alloy steel, stainless steel, and aluminum products nationwide.

Requirements

At least 3 years of supervisory or leadership experience.
Experience with safety training, truck scheduling, and truck routing.
Strong computer skills and proficiency with Microsoft Office, specifically Excel.
Valid driver's license.
Candidates must pass a criminal background check and drug test upon offer of employment.

Nice To Haves

Supervisory or leadership experience in a steel service center, metal processing or manufacturing environment, or warehouse/distribution industry.
Strong steel processing and service center experience.
Understanding of lean manufacturing principles.
Associate or bachelor's degree in Business Administration, Operations, Logistics, or Supply Chain; non-degree candidates with equivalent training and experience will be considered.

Responsibilities

Supervise warehouse and delivery employees, including work schedules, performance, productivity strategies, and payroll.
Ensure assigned employees have appropriate training, work instructions, and tools.
Coordinate and execute production work schedules, including preparing written schedules and providing production documents to machine operators.
Plan and coordinate employee cross-training opportunities.
Supervise shop activities to ensure products meet or exceed quality standards.
Make daily assignments, fill vacancies, and assign overtime to meet customer delivery dates.
Apply lean manufacturing principles to continuously improve processes and procedures.
Evaluate service levels and recommend employee staffing levels.
Assist with planning equipment and facilities maintenance and coordinate preventive maintenance schedules with the Maintenance Department.
Administer employee policies, practices, procedures, and work rules; monitor adherence.
Monitor performance and adjust operations to stay within department budgets and meet established goals.
Assist in resolving internal and external customer problems and complaints.
Promote employee morale and improve safety and housekeeping through Visual Factory and 5-S principles.
Meet established KPI targets, including OTD, QDR, LTA, and MH/Ton, or other established goals.
Provide error-free work to internal and external customers.
Coordinate workflow with involved departments, modify schedules for unexpected delays, and expedite overdue orders.
Use ShopLogix software to improve machine production efficiencies.
Communicate proactively with the sales group to improve operational results through time studies, material usage, and related work.
Review processing-order variance reports, correct allocations, and resolve variances.
Adjust work-order start dates in relation to order request dates to provide accurate lead-time schedules.