Logistics Engineer – WMS Implementation and Warehouse Digitalization Manager
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The company headquarters is located in Bolzano, Northern Italy, at the plant formerly owned by Lancia, a renowned manufacturer of industrial vehicles founded in **** and incorporated into the Iveco Group in ****.
IDV boasts an independent internal structure entirely dedicated to research and development, with full access to the company's extensive engineering resources.
Main Activities and Responsibilities:
Analyze existing logistics processes (AS-IS) and define the functional and technical requirements of the WMS for all operational phases: receiving, storage, picking, packing, shipping, and inventory management
Design logistic flows, slotting strategies, and management rules to be implemented in the WMS
Manage the selection, configuration, customization, and go-live of the WMS
Coordinate the integration of the WMS with the company's MRP/ERP system, ensuring correct synchronization of master data, orders, movements, and inventories
Define and oversee the interfaces between the WMS and the WCS (Warehouse Control System) for real-time management of warehouse automation
Design the integration with RFID systems for full traceability of handling units (dimensions, weights, stackability, WMS coding, etc.), batches, and serial numbers throughout the entire supply chain
Collaborate with the technical team to integrate AGVs and manage their operations
Use simulation tools to size production capacity, optimize flows, validate operational scenarios, and identify bottlenecks
Design and implement KPI dashboards to monitor operational performance (productivity, accuracy, lead time, xlwpduy resource utilization)
Prepare complete technical-functional documentation and operational user manuals
Train key users and warehouse operators on WMS usage and new operational procedures
Ensure post–go-live support, monitor performance, and propose continuous improvement actions
Professional Experience and Skills:
Knowledge of simulation and flow modeling tools
Experience in automation projects
Data analysis and custom integrations
Knowledge of Lean and Six Sigma methodologies applied to logistics