Logistics Engineer optimizing material flow across inbound, storage, and logistics for production at Vista. Specializing in continuous improvement and operational alignment with manufacturing
Responsibilities
Engineer and optimize material flow across inbound, storage, replenishment, and point-of-use delivery to support production demand and minimize waste.
Conduct cycle time analysis, time studies, and capacity modeling to identify bottlenecks, balance workloads, and improve throughput.
Develop and implement storage and warehouse strategies (layout, slotting, space utilization) aligned with material velocity and business needs.
Act as the connector between Production, Logistics, and Procurement/Supply Chain, ensuring alignment on priorities, constraints, and execution.
Develop new material introductions by defining palletization, storage strategy, and space allocation to ensure seamless integration into operations.
Define, track, and enforce Internal Logistics SLAs, driving adoption of Kanban and Just-in-Time (JIT) principles to ensure reliable production supply.
Identify and execute continuous improvement initiatives, using data to identify gaps and implement sustainable solutions.
Lead and coordinate cross-functional escalations, resolving material flow and warehouse disruptions quickly and effectively.
Utilize ERP/EWMS systems to manage and analyze material flow, inventory health, and operational performance.
Apply structured problem-solving (e.g., root cause analysis, 5-Why) to eliminate recurring issues and improve system performance.
Responsibility for safety risk assessment updates, including hazard and operability (HAZOP) studies for the health and safety of both company staff and the wider community.
Proving job assistance and training for employees as needed.
Other duties as required.
Requirements
BASc or equivalent, preferably in Industrial Engineering
3-5 years of manufacturing experience in a high volume production manufacturing environment (preferably in a Logistics engineering role)
Strong interpersonal and communication skills
Proven experience with cycle time analysis, time studies, capacity planning, Kanban/JIT systems, ERP and/or EWS systems
Demonstrated ability to lead continuous improvement and change initiatives independently
Strong analytical skills with a track record of data-driven decision making
Ability to demonstrate time management skills
Understanding of lean manufacturing principles
Excellent computer skills and knowledge of SAP, AutoCAD and Google/Microsoft Office Suite
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