Localized logistics for emergency response is often a refugee of state and federal policies. Assumption-based planning (ABP) and the Viable System Model are combined to analyze the unknown unknown’s of a complex logistics problem. These tools have a history of successful use as separate tools. This case studies presented demonstrates how these tools can collectively focus the knowledge tensions of a disaster logistics strategic planning for Homeland Security and emergency response and emergency managements. Based on the successful use of this war game to analyze business transformation processes, using only ABP for business problems, it has now been updated to include the Viable System Model (VSM). The VSM adds a recursive capability to visualizing the knowledge worker within group and organizational dynamics. The antipoetic nature of tacit and explicit knowledge generation is explored and measured. We propose that using this war game as a viable method to capture the logistics threads that define and bind a complex problem such as disaster planning for a ocean born storms, terrorist attacks, or alignment of business strategy for major supply chains retailers.
|Keywords:||Assumption-based Planning, Viable System Model, Knowledge Elasticity, Knowledge Tension, War Game, Logistics Threads, Homeland Security, Disaster Logistics|
Associate Professor of Logistics, Logistics Department, College of Business and Public Policy, University of Alaska Anchorage, Anchorage, Alaska, USA
Assistant Professor of Logistics, Alaska Center for Supply Chain Integration, College of Business and Public Policy, University of Alaska Anchorage, Anchorage, Alaska, USA
Dean, Dean, College of Business and Public Policy, University of Alaska Anchorage, USA, University of Alaska Anchorage, Alaska, USA
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