Mapping, development and optimization of internal logistics in a multi-stage production facility

Detta är en Master-uppsats från Lunds universitet/Teknisk logistik

Sammanfattning: Title: Mapping, development and optimization of internal logistics in a multi- stage production facility Authors: Nils Jönsson and Björn Hofbard Supervisors: Eva Berg, Department of Industrial Management and Logistics. Conny Andersson, Sandvik Background: In highly dynamic and competitive environments, supply chain management and logistics can create important advantages against competitors. Since logistics costs and tied up capital also impacts profitability, these activities demand full attention and careful planning. Purpose: By mapping and analysing Sandviks internal logistics, the aim is to develop and optimize related operations by providing tangible descriptions of the current practise, and solutions for improvements. Research questions: RQ 1: Can Sandviks future storage requirements be met by the current storage capacity? RQ 2: How can the current storage capacity be better utilized and improved? RQ 3: How can the flow of goods be optimized? Method: To be able to thoroughly map the current logistics operations and provide recommendations for implementation, an action research with an inductive and qualitative research approach was chosen. Primary data was collected through interviews and observations while secondary data was obtained through internal databases. Important tools for mapping and analysis was spaghetti diagrams, gemba walks value stream mapping. Conclusions: The action research resulted in an accurate and rather detailed analysis of the current situation and operations. It can firmly be concluded that a VSM is a useful tool in order to identify waste within a logistics process and the outcome combined with the spaghetti diagrams enabled the researchers to provide recommendations for improvements. Sandviks storage capacity can meet future storage requirements, even though the rather poor utilization. However, it was established that the lack of system support for monitoring storage availability created difficulties for the warehouse and logistics staff.

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