Please use this identifier to cite or link to this item: http://hdl.handle.net/10419/209279
Authors: 
Wallner, Martin
Brunner, Uwe
Zsifkovits, Helmut
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 [Pages:] 3-30
Abstract: 
Demand planning has become a key issue for the performance of supply chains. However, the right quantity is dependent on many factors. Besides market influences, like changing demands, there are also inner-company variables such as the availability of resources. Decision makers often lack a clear picture of what influences their decisions and perceive a state of complexity. There are several theoretical models for managing complexity, but they are not designed to identify the complexity in demand planning. The aim of this paper is to establish a methodology for visualizing and reducing the complexity in the demand planning process. The first result is a model for visualizing the complexity in the planning process. The model shows the factors which influence planned quantities in a chronological order, and, makes cause-effect relations regarding time, responsibility and system support visible. The second result is a structured compilation of methods and tools to actively influence the complexity in the demand planning process. The identified approaches are either assigned to complexity design - reducing complexity by simplifying the supply chain - or complexity control - reducing complexity by decreasing the uncertainty in planning.
Subjects: 
Complexity Management
Demand Planning
Supply Chain Management
Visualizing Complexity
Creative Commons License: 
https://creativecommons.org/licenses/by-sa/4.0/
Document Type: 
Conference Paper

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