Production Scheduler - ACA

AFL manufactures industry-leading fiber optic cable, connectivity and accessories and provides engineering and installation services for some of the largest telecom customers in the world. Our company was founded in 1984 with a single fiber optic cable and today, we manufacture thousands of products, generate an excess of $4B in revenue, and employ approximately 12,000 associates worldwide. At AFL, we recognize that our employees are our greatest asset. We hire and train each individual, investing in them to ensure success in their careers. With a commitment to professional development and growth, let us connect you to your next career opportunity.

What We Offer:

• 401K Company match (up to 4% - dollar for dollar)
• Professional development, training, and tuition reimbursement programs
• Excellent medical, dental, vision, and life insurance policy options
• Opportunities for career advancement with an industry leading company

Job Summary

The Production Scheduler I will work closely with customer service, sales, manufacturing, and supply chain to fulfill customer orders. Typical tasks include determining shipment dates for new orders, reviewing generating accurate and timely production schedules and plans, assessing order changes requests, and ensuring the optimal use of capacity, resources, and materials.

Responsibilities

• Implementation of improved planning and scheduling systems within a newly established AFL business unit in a manufacturing job shop.
• Oversee a portion of the scheduling and planning process to ensuring that the published line schedules are an accurate representation of the current state of the operation and its customer commitments.
• Closely monitor shop floor performance to the production schedule each day and throughout the month. Communicate schedule upsets and areas of focus. Work with manufacturing to make schedule adjustments and recovery plans to minimize customer impact.
• Manage forecast capacity reservations to stay within their schedule window to meet a sales commitment to a customer.
• Coordinate schedule adjustments in response to customer change and expedite Strive to meet each request by exhausting all options.
• Manage the finished goods inventory replenishment process to ensure designated items are available when ordered and inventory thresholds are maintained.
• Utilize and continue development of scheduling software to proactively identify and communicate bottlenecks caused by overloaded resources, machine constraints, raw material deliveries, or other issues
• Work closely with the commercial sales team to align capacity with customer needs including close communication on lead times.
• Generate inputs and calculate results for the monthly sales and operations planning
• Other duties as needed

Personal Qualities

• Self-starter with integrity and confidence who strives to achieve even the most challenging objectives with limited supervision.
• Team player with well-developed interpersonal skills that is comfortable working in a collaborative diverse and cross-functional work environment.
• Results oriented professional who thrives in a high workload position where complex problem solving is frequently required.
• Strong communicator with the ability to convey complex issues both written and oral to all levels of the organization including in meetings as the presenter.
• Well organized and detail-oriented professional.

Qualifications

• Higher education preferred but equivalent work experience will be considered
• 2-4 years of manufacturing experience
• Production scheduling and/or planning experience
• Held positions in production scheduling in a lean, discrete, fast-paced manufacturing environment with relatively short lead times.
• Practical understanding of inventory management including finished goods and stock replenishment methods, cycle counting, accuracy controls, and schedule inputs.
• Experience with Oracle R12 order management, inventory, and manufacturing related
• Strong computer skills with a focus in Excel and ability to manipulate large data sets to obtain desired information.

Working Conditions

• Factory office environment

Minimum Education

• Higher education preferred, equivalent work experience considered