| An Optimization-based Multi-level Asset Allocation Model for Collaborative Planning |
JUN 2011 |
34 pages |
| Authors:
Xu Han; Suvasri Mandal; Huy Bui; Diego F. Ayala; David Sidoti; Manisha Mishra; David L. Kleinman; Krishna R. Pattipati; CONNECTICUT UNIV STORRS DEPT OF ELECTRICAL ENGINEERING AND COMPUTER SCIENCE
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 | Motivated by the Navy's emphasis on networked planning capabilities in maritime operations centers (MOC), we have developed an agent-based multi-level resource allocation model that takes high level commands from the human planners and then dynamically allocates the lower-level assets and processes tasks to accomplish the mission objectives. The agent-based model supports a controllable, multi-player, real time collaborative planning environment in a Windows environment. The architecture allows for adding constraints on ... |
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| Modeling and Agent-Based Simulation of Organization in a Stochastic Environment |
JUN 2007 |
37 pages |
| Authors:
Sui Ruan; Swapna S. Gokhale; Woosun An; Krishna R. Pattipati; David L. Kleinman; CONNECTICUT UNIV STORRS SCHOOL OF ENGINEERING
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| This paper describes a generic model and agent-based simulation to facilitate the analysis of interplay of information collection (task identification) and decision making (task execution) processes, as well as the information flow behaviors in organizations in the face of stochastic mission environments. In these mission environments, task arrivals are stochastic, the characteristics of tasks are not known a priori, but maybe inferred to a certain degree by undertaking the information ... |
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| A Flexible Distributed Scheduling Scheme for Dynamic ESG Environments |
JUN 2006 |
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| Authors:
Feili Yu; Sui Ruan; Meirina Candra; David Kleinman; Krishna R. Pattipati; CONNECTICUT UNIV STORRS DEPT OF ELECTRICAL ENGINEERING AND COMPUTER SCIENCE
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 | Based on the holonic C2 organizational control architecture (OCA) that models a C2 organization as an integration of multi-level, de-centralized decision making networks, we present a holonic multi-objective evolutionary algorithm (MOEA) that produces robust and flexible distributed schedules within a dynamic ESG mission environment, such as asset break down, appearance of new events, node failures, etc. The lower level units generate multiple local schedules based on local resources, constraints, and ... |
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| Model-Based Organization Analysis and Design for an ESG Organization |
JUN 2006 |
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| Authors:
Candra Meirina; Feili Yu; Krishna R. Pattipati; David L. Kleinman; CONNECTICUT UNIV STORRS DEPT OF ELECTRICAL ENGINEERING AND COMPUTER SCIENCE
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| The concept of Expeditionary Strike Groups (ESGs) arose to satisfy the requirements of global war on terrorism (GWOT), when it was realized that surface warfare capabilities were needed to complement the capability of the Amphibious Ready Groups (ARGs). The addition of cruiser (CG), destroyer (DDG), frigate (FFG), and submarine (SSN) assets to those of an ARG, which include an amphibious assault ship (LHA or LHD) with a Marine expeditionary unit ... |
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| PERSUADE: Modeling Framework for the Design of Modular Army Organizations |
JUN 2006 |
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| Authors:
Georgiy M. Levchuk; Yuri Levchuk; Shawn A. Weil; Krishna R. Pattipati; APTIMA INC WOBURN MA
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| In this paper, we present innovative approaches and algorithms for the design of Command and Control (C2) structures, mission planning, and course of action development. These models are integrated into the PERsonnel-based Unit of Action Design Environment (PERSUADE). PERSUADE converts a textual description of mission and a graphical representation of an organization into quantitative models, and through optimization algorithms (Levchuk et al., 2002, 2004) validated in several empirical studies (Kleinman ... |
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| An Agent-Based Simulation Model for Organizational Analysis |
JUN 2006 |
36 pages |
| Authors:
Sui Ruan; Swapna S. Gokhale; Krishna R. Pattipati; CONNECTICUT UNIV STORRS DEPT OF ELECTRICAL ENGINEERING AND COMPUTER SCIENCE
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| In many fields, including engineering, management, and organizational science, simulation-based computational organization theory has been used to gain insight into the degree of match ("congruence") between the organization (people, work processes and structure) and the tasks carried out by the organization. Simulation helps identify the bottlenecks, and improve the quality and efficiency of an organization. In this paper, we propose an approach based on the congruence model for analyzing and ... |
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| Patrolling in a Stochastic Environment |
JUN 2005 |
28 pages |
| Authors:
Sui Ruan; Candra Meirina; Feili Yu; Krishna R. Pattipati; Robert L. Popp; CONNECTICUT UNIV STORRS DEPT OF ELECTRICAL ENGINEERING AND COMPUTER SCIENCE
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| The patrolling problem considered in this paper has the following characteristics: Patrol units conduct preventive patrolling and respond to call-for-service. The patrol locations (nodes) have different priorities, and varying incident rates. We design a patrolling scheme such that the locations are visited based on their importance and incident rates. The solution is accomplished in two steps. First, we partition the set of nodes of interest into subsets of nodes, called ... |
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| Optimization-Based Agent Simulations for Evaluating the SPEYES System |
JUN 2005 |
29 pages |
| Authors:
Candra Meirina; Feili Yu; Sui Ruan; Georgiy M. Levchuk; Krishna R. Pattipati; David L. Kleinman; Robert L. Popp; CONNECTICUT UNIV STORRS DEPT OF ELECTRICAL ENGINEERING AND COMPUTER SCIENCE
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| This paper presents an optimization-based agent-driven Distributed Dynamic Decision-making (DDD) simulation model to evaluate the SPEYES (Security and Patrolling Enablers Yielding Effective SASO - Support and Stability Operations) system. The key challenge is to quantify the force multiplying effect of SPEYES technologies, which span sensing, situation awareness/command and control (SA/C2), and shaping components. The performance improvements were measured in terms of timeliness, effectiveness, and efficiency of operations. The behaviors of ... |
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| Analytic Model Driven Organizational Design and Experimentation in Adaptive Command and Control |
2005 |
12 pages |
| Authors:
Yuri N. Levchuk; Krishna R. Pattipati; David L. Kleinman; CONNECTICUT UNIV STORRS DEPT OF ELECTRICAL AND SYSTEMS ENGINEERING
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| The purpose of this paper is to present a methodology for the design of experiments to examine the organizational behavior of command and control teams operating in a complex mission environment. This methodology can be used to design an executable model for human-in-the-loop, model-based experiments that provide the necessary empirical components for current and future research in adaptive C2 architectures. The authors discuss a joint model of a mission and ... |
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| Networks of Decision-Making and Communicating Agents: A New Methodology for Design and Evaluation of Organizational Strategies and Heterarchical Structures |
2005 |
25 pages |
| Authors:
Georgiy M. Levchuk; Feili Yu; Yuri Levchuk; Krishna R. Pattipati; APTIMA INC WOBURN MA
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| In this paper, the authors explore the decomposition of organizational processes and decision-making, the coexistence of an organization's command and communication networks, and their effects on team performance. They present a methodology to design mission-based strategies and novel heterarchical organizational structures based on exploring information/command transfer and processing in the organizations. This methodology allows the synthesis of alternative C3I organizational structures that outperform traditional hierarchies in environments with heavy information ... |
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| Mapping Flows onto Networks to Optimize Organizational Processes |
2005 |
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| Authors:
Georgiy M. Levchuk; Yuri N. Levchuk; Krishna R. Pattipati; David L. Kleinman; CONNECTICUT UNIV STORRS DEPT OF ELECTRICAL ENGINEERING AND COMPUTER SCIENCE
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| Interdependence of tasks in a mission necessitates information flow among the organizational elements (agents) assigned to these tasks. This information flow introduces communication delays. An effective task schedule that minimizes the total execution time, including task processing and coordination delays, is an important issue in designing an organization and its task processing strategy. This paper defines the structure of information-dependent tasks, and describes an approach to map this structure to ... |
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| A Library of Optimization Algorithms for Organizational Design |
2005 |
41 pages |
| Authors:
Georgiy M. Levchuk; Yuri N. Levchuk; Jie Luo; Fang Tu; Krishna R. Pattipati; CONNECTICUT UNIV STORRS DEPT OF ELECTRICAL ENGINEERING AND COMPUTER SCIENCE
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| This paper presents a library of algorithms to solve a broad range of optimization problems arising in the normative design of organizations to execute a specific mission. The use of specific optimization algorithms for different phases of the design process leads to an efficient matching between the mission structure and that of an organization and its resources/constraints. This library of algorithms forms the core of the authors' design software environment ... |
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| Congruence of Human Organizations and Missions: Theory versus Data |
2005 |
19 pages |
| Authors:
Georgiy M. Levchuk; David L. Kleinman; Sui Ruan; Krishna R. Pattipati; APTIMA INC WOBURN MA
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| In this paper, the authors present a methodology for quantifying the degree of fit between a mission and an organization based on the closeness between the task structure (i.e., resource requirements and task interdependence) and the Decision Maker-asset (DM) allocation across the organization (i.e., amount and distribution of resource capabilities among DMs and organizational processes). This closeness is based on three main characteristics of organizational performance: workload balance, communication requirements, ... |
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| Goal Management in Organizations: A Markov Decision Process (MDP) Approach |
2005 |
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| Authors:
Candra Meirina; Yuri N. Levchuk; Georgiy M. Levchuk; Krishna R. Pattipati; David L. Kleinman; CONNECTICUT UNIV STORRS DEPT OF ELECTRICAL ENGINEERING AND COMPUTER SCIENCE
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| Goal management is the process of recognizing or inferring goals of individual team members; abandoning goals that are no longer relevant; identifying and resolving conflicts among goals; and prioritizing goals consistently for optimal team collaboration and effective operations. A Markov decision process (MDP) approach is employed to maximize the probability of achieving the primary goals (a subset of all goals). The authors seek to address the computational adequacy of an ... |
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| A Multi-Functional Software Environment for Modeling Complex Missions and Devising Adaptive Organizations |
2005 |
27 pages |
| Authors:
Yuri N. Levchuk; Jie Luo; Georgiy M. Levchuk; Krishna R. Pattipati; David L. Kleinman; CONNECTICUT UNIV STORRS DEPT OF ELECTRICAL AND SYSTEMS ENGINEERING
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| This paper presents a software environment that uses the authors' comprehensive modeling and design methodology for representing complex missions and synthesizing the concomitant adaptive organizational structures for different sets of design objectives. The tool box provides a step-by-step visualization of modeling a complex mission and building an "optimal" organization that achieves superior performance while satisfying organizational constraints. In addition, the software environment allows one to perform a comparative analysis of ... |
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| Effects-Based Design of Robust Organizations |
JUN 2004 |
30 pages |
| Authors:
Sui Ruan; Candra Meirina; Haiying Tu; Feili Yu; Krishna R. Pattipati; CONNECTICUT UNIV STORRS DEPT OF ELECTRICAL ENGINEERING AND COMPUTER SCIENCE
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| Effects-based design of robust organizations seeks to synthesize an organizational structure and its strategies (resource allocation, task scheduling and coordination), to achieve the desired effect(s) in a dynamically changing mission environment. In this paper, we model the dynamic system associated with the mission environment (e.g., environment faced by a joint task force with a military objective or the competitive environment confronted by a consumer electronic company striving to increase its ... |
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| A New Methodology for Design and Evaluation of Heterarchical Structures |
JUN 2004 |
27 pages |
| Authors:
Georgiy M. Levchuk; Feili Yu; Yuri Levchuk; Krishna R. Pattipati; APTIMA INC WOBURN MA
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| Accomplishments: (1) Developed methodology to design inter-dependent organization sub-structures (command, observation, communication, information); (2) Utilize the benefits and constraints of hierarchical, heterarchical, and hybrid structures; (3) Integrated structure-strategy optimization. Applications: Will provide innovative strategy and structure solutions for various levels and nodes of the FORCEnet. |
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| Agent-based Decision Support System for the Third Generation Distributed Dynamic Decision-making (DDD-III) Simulator |
JUN 2004 |
34 pages |
| Authors:
Candra Meirina; Sui Ruan; Feili Yu; Liang Zhu; Krishna R. Pattipati; David L. Kleinman; CONNECTICUT UNIV STORRS DEPT OF ELECTRICAL ENGINEERING AND COMPUTER SCIENCE
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| In this paper, we discuss the design and application of a decision support system (DSS) based on the third-generation distributed dynamic decision-making (DDD-III) simulator and contingency theory to increase the organizational cognitive capacity and to facilitate the processes of adaptation. The role of the DSS is to provide mission-monitoring and re-planning information to human decision-makers (DMs) in order to manage the explicit and tacit knowledge, codify them into simple and ... |
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| A Systematic Approach to Optimize Organizations Operating in Uncertain Environments: Design Methodology and Applications |
SEP 2002 |
23 pages |
| Authors:
Yuri N. Levchuk; Georgiy M. Levchuk; Krishna R. Pattipati; APTIMA INC WOBURN MA
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| This paper presents a comprehensive methodology for solving diverse problems arising in performance optimization of organizations operating in uncertain environments. We introduce a technique to decompose a multi-dimensional organizational design problem into a series of coupled sub-problems whose iterative solution produces a near-optimal organizational structure, and decision processes. We illustrate our approach via an example to provide a step-by-step visualization of the modeling of complex and uncertain missions, and of ... |
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| Robust Action Strategies to Induce Desired Effects |
2002 |
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| Authors:
Haiying Tu; Yuri N. Levchuk; Krishna R. Pattipati; CONNECTICUT UNIV STORRS DEPT OF ELECTRICAL ENGINEERING AND COMPUTER SCIENCE
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| This paper provides a new methodology for obtaining a near-optimal strategy (i.e., specification of courses of action over time) for achieving the desired effects in a mission environment that also is robust to environmental perturbations (i.e., unexpected events and/or parameter uncertainties). A dynamic Bayesian network (DBN)-based stochastic mission model is employed to represent the dynamic and uncertain nature of the environment. Genetic algorithms are applied to search for a near-optimal ... |
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| Design and Analysis of Robust and Adaptive Organizations |
2001 |
35 pages |
| Authors:
Georgiy M. Levchuk; Candra Meirina; Yuri N. Levchuk; Krishna R. Pattipati; David L. KK; CONNECTICUT UNIV STORRS DEPT OF ELECTRICAL ENGINEERING AND COMPUTER SCIENCE
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| The objectives of this paper are to: (i) define and classify the process of strategy and structural adaptation of organizations to mission and environmental changes; (ii) apply our modified design methodology to construct robust and adaptive organizations; and (iii) analyze the effects of changes in mission and organizational parameters on the organization's performance. We analyze the performance of organizations using dynamic metrics, including a measure of congruence of a given ... |
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| A Software Environment for the Design of Organizational Structures |
2000 |
16 pages |
| Authors:
Yuriy Shlapak; Jie Luo; Georgiy M. Levchuk; Fang Tu; Krishna R. Pattipati; CONNECTICUT UNIV STORRS DEPT OF ELECTRICAL AND SYSTEMS ENGINEERING
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| This paper presents a software environment for adaptive organizational design, with focus on synthesizing Joint Task Force (JTF) C2 architectures subject to organizational constraints (e.g., the availability of resources and/or DMs, the distribution of DMs expertise, etc.). Currently, the design environment includes software modules for: (1) mission modeling to extract task dependency graphs; (2) mission planning to allocate resources to tasks; (3) hierarchical clustering algorithms for grouping resources into decision-maker ... |
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