Applying the Information Age Combat Model: Quantitative Analysis of Network Centric Operations

The nature of and the approach to command and control is evolving in order to meet the challenges of Information Age warfare. One of the main tasks of command and control is the arrangement of the assets within a combat force in order to ensure their ability to manage and exploit information. Connectivity between the various assets represents existence, capacity, reliability, and other attributes of links establishing the connectivity. The Information Age Combat Model was introduced by Cares in 2005 to contribute to the development of an understanding of the influence of connectivity on force effectiveness that can lead eventually to quantitative prediction and guidelines for design and employment. This paper describes the model and several extensions to it. It presents an initial attempt to achieve such an understanding through the quantitative analysis of a basic but powerful model of network centric operations to demonstrate the correlation between connectivity and effectiveness. It also documents first prototypical studies showing how these results can be used in current models and can even contribute to a new generation of combat models that are net-centric instead of using the current platform-centric approach

Best matching processes in distributed systems

The growing complexity and dynamic behavior of modern manufacturing and service industries along with competitive and globalized markets have gradually transformed traditional centralized systems into distributed networks of e- (electronic) Systems. Emerging examples include e-Factories, virtual enterprises, smart farms, automated warehouses, and intelligent transportation systems. These (and similar) distributed systems, regardless of context and application, have a property in common: They all involve certain types of interactions (collaborative, competitive, or both) among their distributed individuals—from clusters of passive sensors and machines to complex networks of computers, intelligent robots, humans, and enterprises. Having this common property, such systems may encounter common challenges in terms of suboptimal interactions and thus poor performance, caused by potential mismatch between individuals. For example, mismatched subassembly parts, vehicles—routes, suppliers—retailers, employees—departments, and products—automated guided vehicles—storage locations may lead to low-quality products, congested roads, unstable supply networks, conflicts, and low service level, respectively. This research refers to this problem as best matching, and investigates it as a major design principle of CCT, the Collaborative Control Theory. The original contribution of this research is to elaborate on the fundamentals of best matching in distributed and collaborative systems, by providing general frameworks for (1) Systematic analysis, inclusive taxonomy, analogical and structural comparison between different matching processes; (2) Specification and formulation of problems, and development of algorithms and protocols for best matching; (3) Validation of the models, algorithms, and protocols through extensive numerical experiments and case studies. The first goal is addressed by investigating matching problems in distributed production, manufacturing, supply, and service systems based on a recently developed reference model, the PRISM Taxonomy of Best Matching. Following the second goal, the identified problems are then formulated as mixed-integer programs. Due to the computational complexity of matching problems, various optimization algorithms are developed for solving different problem instances, including modified genetic algorithms, tabu search, and neighbourhood search heuristics. The dynamic and collaborative/competitive behaviors of matching processes in distributed settings are also formulated and examined through various collaboration, best matching, and task administration protocols. In line with the third goal, four case studies are conducted on various manufacturing, supply, and service systems to highlight the impact of best matching on their operational performance, including service level, utilization, stability, and cost-effectiveness, and validate the computational merits of the developed solution methodologies

From Social Simulation to Integrative System Design

As the recent financial crisis showed, today there is a strong need to gain "ecological perspective" of all relevant interactions in socio-economic-techno-environmental systems. For this, we suggested to set-up a network of Centers for integrative systems design, which shall be able to run all potentially relevant scenarios, identify causality chains, explore feedback and cascading effects for a number of model variants, and determine the reliability of their implications (given the validity of the underlying models). They will be able to detect possible negative side effect of policy decisions, before they occur. The Centers belonging to this network of Integrative Systems Design Centers would be focused on a particular field, but they would be part of an attempt to eventually cover all relevant areas of society and economy and integrate them within a "Living Earth Simulator". The results of all research activities of such Centers would be turned into informative input for political Decision Arenas. For example, Crisis Observatories (for financial instabilities, shortages of resources, environmental change, conflict, spreading of diseases, etc.) would be connected with such Decision Arenas for the purpose of visualization, in order to make complex interdependencies understandable to scientists, decision-makers, and the general public.Comment: 34 pages, Visioneer White Paper, see http://www.visioneer.ethz.c

Improving C2 Effectiveness Based on Robust Connectivity

This chapter describes an approach to develop an improved metric for network effectiveness through the use of Cares\u27 (2005) Information Age Combat Model (IACM) as a context for combat (or competition) between networked forces. The IACM highlights the inadequacy of commonly used quantifiable metrics with regards to comparing networks that differ only by the placement of a few links. An agent-based simulation is used to investigate the potential value of the Perron-Frobenius Eigenvalue (λPFE) as an indicator of network effectiveness. The results validate this assumption. Another measurement is proven to be equally important, namely the robustness of a configuration. Potential applications from the domain of ballistic missile defense are included to show operational relevance