Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/209284 
Year of Publication: 
2015
Citation: 
[Editor:] Blecker, Thorsten [Editor:] Kersten, Wolfgang [Editor:] Ringle, Christian M. [Title:] Operational Excellence in Logistics and Supply Chains: Optimization Methods, Data-driven Approaches and Security Insights. Proceedings of the Hamburg International Conference of Logistics (HICL), Vol. 22 [ISBN:] 978-3-7375-4058-2 [Publisher:] epubli GmbH [Place:] Berlin [Year:] 2015 [Pages:] 141-169
Publisher: 
epubli GmbH, Berlin
Abstract: 
Inventory management is essential for satisfying customer demands and reducing logistics costs. Extensive material portfolios, balancing inventory costs versus customer service levels as well as fluctuating demand are factors that influence inventory levels. Inventory management is often considered as inventory reduction; quick reduction activities are carried out without knowing the exact root causes of nontarget inventory levels. A sustainable and comprehensive approach could be, to consider those factors which have a strong impact on inventory and to use this information for further inventory optimization activities. This paper therefore gives an answer to the question, how to systematically identify main drivers on inventory, using multiple linear regression analysis and how to quantify their impact considering company-specific data and structures. The described approach is applied in a case study at a company in the commercial vehicle industry. Data sets from different locations are analyzed and compared. It will be shown in a methodical way that few factors have a strong linear influence on inventory level and differ depending on the characteristics of the respective location. Companies can thereby analyze main drivers on inventories e.g. per location, region, sales channel or company-wide, depending on the chosen data set. The results can be used to identify root-causes for nontarget inventory levels and form the basis for company-specific inventory optimization activities.
Subjects: 
Inventory Management
Regression Analysis
Main Drivers
Root Cause Analysis
Creative Commons License: 
cc-by-sa Logo
Document Type: 
Conference Paper

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