Bio David Semiotics Syntactics: Plasma Physics Introduction 2.1.1 Sterman Single Repetition 2.1.2NetLogo Demonstration 2.1.3A Single Change
Ballou, Rick, Host has reference to this Academic Journal, PHwiki organized this Journal Ken Dozier & David Chang Western Research Application Center World Society in addition to Engineering Academy in addition to Society Conference February 25, 2012 Harvard, Cambridge USA Improvement of Supply Chain Efficiency with a Learning Game Bio David Semiotics Syntactics: Plasma Physics Stamper, In as long as mation, Norms in addition to Systems (1996) Introduction Used a Design Research Framework to create a Learning Object Game Immersed in Complex Systems (LOGICS) process in addition to product artifact. Used the NetLogo Hubnet capability to immerse a human agents into the simulate the dynamics of the classic Sterman Beer Game. Create a persuasive experience that nudged players ab in addition to on heuristics in addition to invest in IT rationality to improve economic per as long as mance in a counter intuitive dynamic business system.
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2. Background Observations Cyclic phenomena in complex dynamic business systems Ubiquitous & Disruptive Example: Wild oscillations in supply chain inventories Results of Observations in addition to Simulations Negative Feedback Systems with Delays Oscillate Phase dependence of oscillations on position in chain Underst in addition to ing of Managements Personality Impact Commitment to Rationality Dramatically Increases Financial Per as long as mance MIT Sterman Beer Game Simulation Single Customer, Single Product, 4 Tier Supply Chain Published Suboptimal Per as long as mance 1 Order of Magnitude Experimental Suboptimal Per as long as mance 2 Orders of Magnitude Model Developed by Dr. Nathan B. Forrester of A.T. Kearney, Atlanta, 2000 23rd Order Differential Equation 2.1 Beer Game 2.1.1 Sterman Single Repetition Teaching Takes Off: Flight Simulators as long as Management Education, Sterman (1992)
2.1.2NetLogo Demonstration Steady state at 4 cases per order. Beer Game Demo Densmore, O. June 2004 Wilensky, U. (1999). NetLogo. http://ccl.northwestern.edu/netlogo. Center as long as Connected Learning in addition to Computer-Based Modeling. Northwestern University, Evanston, IL 2.1.3A Single Change A 4 Unit Constant Dem in addition to is Changed to an 8 Unit Constant Dem in addition to Wilensky, U. (1999). NetLogo. http://ccl.northwestern.edu/netlogo. Center as long as Connected Learning in addition to Computer-Based Modeling. Northwestern University, Evanston, IL Beer Game Demo Densmore, O. June 2004 2.2 Analytical Models Efficiency Direction Proficiency Competition Concentration Innovation Cooperation Source: The Effective Organization: Forces in addition to Form, Sloan Management Review, Henry Mintzberg, McGill University 1991
2.2.1 Conflicting Temporal Layers Source: Gus Koehler, University of Southern Cali as long as nia Department of Policy in addition to Planning, 2002 2.2.2 Layers of Communication Source: Gus Koehler, University of Southern Cali as long as nia Department of Policy in addition to Planning, 2002 2.2.3 Government Dynamics Source: Gus Koehler, University of Southern Cali as long as nia Department of Policy in addition to Planning, 2002
2.2.4 High Level of Complexity Source: Gus Koehler, University of Southern Cali as long as nia Department of Policy in addition to Planning, 2002 2.2.5 Bureaucratic Factor Seven Organizational Change Propositions Framework, Framing the Domains of IT Management Zmud 2002 High Low 2.2.6 Plasma Theories Advanced plasma theories are extremely important when one tries to explain the various waves in addition to instabilities found in the plasma environment. Since plasma consist of a very large number of interacting particles, in order to provide a macroscopic description of plasma phenomena it is appropriate to adopt a statistical approach. This leads to a great reduction in the amount of in as long as mation to be h in addition to led. In the kinetic theory it is necessary to know only the distribution function as long as the system of particles. Source: University of Oulu, FInl in addition to
2.2.7 JITTA Investigated the bureaucratic factor in addition to its inverse organizational temperature T (dispersion) in the 5 metropolitan service areas surrounding Los Angeles. Investigated the ability of Stratification to Differentiate impact of IT Investment on output in addition to job creation Large firms invest in IT to increase output in addition to eliminate jobs Small firms invest in IT to increase output in addition to exp in addition to work as long as ce Investigate Partition Function Z, Cumulative Distribution Function opened the linkage to Statistical Physics Dozier-Chang (06) Journal of In as long as mation Technology Theory in addition to Application Math Intensive Solution Ideal as long as Cloud Architectures Marginal Cost on a per transaction basis Give them a Browser Razor Sale them Transaction Blades Accommodates Both Large in addition to Small Firms Comparison of U.S. economic census cumulative number of companies vs shipments/company (blue diamond points) in LACMSA in 1992 in addition to the statistical physics cumulative distribution curve (square pink points) with = 0.167 per $106 2.2.8Maxwell-Boltzmann Distribution 2.2.9 Advantages This model does allow examination of the optimal timing as long as interventions of these propagations in addition to parametric as long as ces. Something not possible in simulation models to date The most effective paramedic interventions will be those that use in as long as mation technologies to harmonize with naturally occurring normal modes of the system. Disturbances from non optimal interventions move up in addition to down the supply chain.
3. Learning Object Game Takeda, Veerkamp, Tomiyama, Yoshikawa (AI) Purao (IS&T) Dasgupta (IS&T) Vaishnavi & Kuechler, Design Science Research Methods in addition to Patterns (2008) Design Science Framework 3.1 Kernel Theories 3.2 Integrated Development Environment
3.3 Player Interface 3.4 Instructors Console 3.5 Results
3.6 Design1 versus Design5 Design1 Normally Distributed Design5 Highly Skewed 4. Discussion Trial Player 1 Player 2 Player 3 1 4356 15588 6243 2 4362 4289 16650 3 3393 8156 5840 4 179.3 1563 1491 5 179.3 2885 1876 IT Orders 87% 21% 55% Design 5 Modest Sample Size 4.1 Binomial Distribution Results can be interpreted in a self consistent manner since each trial can be considered independent. A success occurs when the total cost is less that some target Binomial Distribution is Appropriate as long as a Modest Sample Size There is a 7 fold improvement in target teaching costs in only five trials This is a dramatic improvement in past experience with rein as long as ced learning as long as the Beer Game problem Teaching Target Costs from Box Plots N=3 p=1/7
4.2 Someone is Getting Rich on the Waste 4.3 Findings in addition to Video Demos Game 1: Manual ordering with repetition. My control group average 10 times larger than Sterman. Game 2: Manual ordering using Senges Do nothing strategy Retail absorbs the bulk of the costs Game 3: Local computing enables Wal-Mart’s to kill supplier factories Game 4: Any technical solution is better than intuition Game 5: If we cooperate we make 100 times more money. The Optimal to Average per as long as mance ration of 100 to 1 Much room as long as improvement Asynchronous interaction between tiers. Realistic dem in addition to time series Realistic normal modes in addition to associated optimal values Larger number of participants World side distribution on the Cloud http://wesrac.usc.edu For more in as long as mation, please Visit the Learning Center Contact In as long as mation Google WESRAC Google Ken Dozier firstname.lastname@example.org
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