Minimum order quantity management process Henkel EU
This Master’s Thesis focuses on optimizing the management of Minimum Order Quantities (MOQs) within Henkel’s Adhesive Technologies division in Europe. The primary objective is to enhance inventory efficiency through a proactive and standardized process that helps identify and address planning risks...
| Autor: | |
|---|---|
| Tipo de documento: | dissertação |
| Data de publicação: | 2025 |
| País: | España |
| Recursos: | Universitat Politècnica de Catalunya (UPC) |
| Repositório: | UPCommons. Portal del coneixement obert de la UPC |
| Idioma: | inglês |
| OAI Identifier: | oai:upcommons.upc.edu:2117/442745 |
| Acesso em linha: | https://hdl.handle.net/2117/442745 |
| Access Level: | Acesso embargado |
| Palavra-chave: | Business logistics Logística (Indústria) Àrees temàtiques de la UPC::Economia i organització d'empreses |
| Resumo: | This Master’s Thesis focuses on optimizing the management of Minimum Order Quantities (MOQs) within Henkel’s Adhesive Technologies division in Europe. The primary objective is to enhance inventory efficiency through a proactive and standardized process that helps identify and address planning risks related to misaligned MOQ settings. The proposed methodology combines historical data analysis, automated risk flagging, portfolio segmentation, and a monthly governance routine involving planner enrichment and escalation to decision-makers. The approach is implemented using Excel, Power BI, and SharePoint, enabling structured collaboration between Supply Planners and business stakeholders. The results show improved risk visibility, a reduction in excess coverage cases, and more consistent and timely decision-making. Actions included MOQ adjustments, transitions to MTO strategies, and product phase-out proposals for slow movers. This work highlights the strategic role of MOQ management in improving supply chain responsiveness, supporting stock optimization, and preventing planning inefficiencies. The methodology provides a robust and scalable framework for further deployment across different product portfolios or regional networks. |
|---|