Strategic Production Planner: Capacity & Schedule Lead

Fruit of the Loom, Inc.; Jefferson (IA); On-site; USD 55,000 - 75,000; Full time

Job summary

Fruit of the Loom, Inc. in Jefferson, Iowa, is seeking a Production Planner to develop production schedules and capacity plans that maximize efficiency and meet forecast demand.

The role requires collaboration across departments, timely communication of plans, and leadership to resolve scheduling issues and optimize material flow, ensuring on-time delivery and optimal production throughput.

Qualifications

• Bachelor's degree in business, a related field, or equivalent experience preferred.
• Strong communication and interpersonal skills to influence peers.
• Solid math and analytical abilities for forecasting and capacity planning.
• Proven ability to make timely, sound decisions in a fast-paced environment.
• Leadership to direct and coordinate work across teams.
• Proficiency with Microsoft Excel; ERP or scheduling software knowledge is a plus.

Responsibilities

• Prepare production schedules and capacity plans to maximize efficiency.
• Track daily execution of production requirements and manage inventory levels.
• Collaborate with production teams and other departments to adjust priorities.
• Lead meetings and communicate plans and potential delays across teams.
• Manage work orders, purchasing impacts, and vendor delivery dates.
• Coordinate with accounting and inventory control to ensure data accuracy.
• Identify barriers and work with engineering to resolve scheduling issues.

Skills

Communication skills

Analytical skills

Decision making

Leadership

Education

Bachelor's degree in business or related field

Tools

Microsoft Excel

ERP

Scheduling software

Job description

Fruit of the Loom, Inc. in Jefferson, Iowa, is seeking a Production Planner to develop production schedules and capacity plans that maximize efficiency and meet forecast demand.

The role requires collaboration across departments, timely communication of plans, and leadership to resolve scheduling issues and optimize material flow, ensuring on-time delivery and optimal production throughput.