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Publication
Smart automation in copacking and reworking: Improving customer operations in logistics
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| 4.95 MB | Adobe PDF |
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Abstract(s)
This thesis focuses on the analysis and improvement of Co-packing and Reworking operations
within a logistics environment, with the aim of enhancing both administrative and operational
efficiency. Although traditionally manual and labour-intensive, these processes face increasing
pressure for responsiveness and precision due to growing demand and complex supply chain
dynamics. The study was conducted within Luís Simões Logística Integrada S.A. and adopts an
integrated approach combining process modelling tools, technological diagnosis, and physical
layout redesign.
By using Value Stream Mapping (VSM) and Business Process Model and Notation (BPMN) it was
possible to analyse the current state of Co-packing operations, identify bottlenecks,
inefficiencies, and repetitive tasks. BPMN offered detailed insights into administrative
workflows and decision-making logic, while VSM revealed operational flow and resource
allocation on the shop floor. The thesis also evaluates the potential implementation of the Infor
M3 ERP system, based on a Gap Analysis of the current technological infrastructure, and
proposes a warehouse redesign through the construction of a mezzanine to better structure the
Co-packing area.
The results highlight the importance of combining digital transformation strategies with process
standardization and optimization. Although the ERP implementation was not approved, the
proposals presented demonstrate a clear roadmap for improving process traceability, reducing
cycle times, and enabling scalability. The study concludes that data-driven decision-making,
supported by the right tools and aligned with operational reality, is key to building more
efficient, flexible, and resilient logistics systems.
Description
Keywords
Copacking Reworking Value Stream Mapping (VSM) Business Process Model and Notation (BPMN) ERP Systems Infor M3 Warehouse Optimization Mezzanine Design Logistics Efficiency Process Automation Lean Methodology Digital Transformatio