Normative design of organizations. II. Organizational structure

Levchuk, Georgiy; Levchuk, Yuri N.; Luo, Jie; Pattipati, Krishna R.; Kleinman, David L.

doi:10.1109/tsmca.2002.802820

Cited by 57 publications

(16 citation statements)

References 20 publications

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“…Task-resource allocation can be described as follows: given a task graph and a group of resources [14,15], tasks with specific processing times, resource requirements, locations, and precedence relations must be executed by a group of resources with specified function capabilities, ranges of operation, and velocities to optimize one or more objectives.…”

Section: Task-resource Allocation Model Based On Effectivenessmentioning

confidence: 99%

A task-resource allocation method based on effectiveness

Cheng

Zhang

2013

Knowledge-Based Systems

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Section: Task-resource Allocation Model Based On Effectivenessmentioning

confidence: 99%

A task-resource allocation method based on effectiveness

Cheng

Zhang

2013

Knowledge-Based Systems

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“…This can be achieved using the optimal network design concepts to minimize the delays during communication (Levchuk et al, 2002; 3004;2006). The reason for "designing" the communication structure is to avoid the overload that may occur when all one-to-one communication channels are open and to limit the memory required to store communicated information.…”

Section: Active Particle Communication Network Designmentioning

confidence: 99%

“…The notion of the "match" between these components is know as the congruence concept in military and socio-technical command and control organizational analysis (Levchuk et al, 2002;Kleinman et al, 2003). While possessing the same "intelligence" (algorithms for developing assembly instructions and communicating them to the physical world), the mismatch between these components might result in waste of resources or energy, and delays or failures of shape assembly.…”

Section: Experimental Hypothesesmentioning

confidence: 99%

“…This algorithm has been used successfully for military C2 structure design in several previous projects for Navy and Army alternative organizational design analysis. We refer the readers to the following papers for the detailed algorithm description (Levchuk et al, 2002;2006). In the simulations we describe in later sections, we have experimented with several command structures.…”

mentioning

confidence: 99%

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Cognitive Particles

Levchuk¹,

Grande²,

Stacy³

et al. 2008

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The public reporting burden for this collection of information is estimated to average 1 hour per response, including the time for reviewing instructions, searching existing data sources, gathering and maintaining the data needed, and completing and reviewing the collection of information.Send comments regarding this burden estimate or any other aspect of this collection of information, including suggesstions for reducing this burden, to Washington Headquarters Services, Directorate for Information Operations and Reports, 1215 Jefferson Davis Highway, Suite 1204, Arlington VA, 22202-4302. Respondents should be aware that notwithstanding any other provision of law, no person shall be subject to any oenalty for failing to comply with a collection of information if it does not display a currently valid OMB control number. PLEASE DO NOT RETURN YOUR FORM TO THE ABOVE ADDRESS. a. REPORT Cognitive Particles Final Report ABSTRACT SECURITY CLASSIFICATION OF:Cognitive Particles is a step toward realizing the ability to develop autonomous components (particles) that are capable of coordinating to come together and form a desired object. Automated shape assembly and disassembly from a collection of particles would allow incredible resource availability and flexibility in domains ranging from the highly specialized and time-critical (soldiers in the field or medical technicians in the operating room) to the more mundane. In this work, we first developed theoretical concepts supporting the development and coordination of autonomous shape-forming particles. Building on this foundation, we constructed a 3-dimenstional particle simulation testbed to enable experimentation regarding S REPORT DATE (DD-MM-YYYY) TITLE AND SUBTITLE 24-06-200813. SUPPLEMENTARY NOTES The views, opinions and/or findings contained in this report are those of the author(s) and should not contrued as an official Department of the Army position, policy or decision, unless so designated by other documentation. ABSTRACTCognitive Particles is a step toward realizing the ability to develop autonomous components (particles) that are capable of coordinating to come together and form a desired object. Automated shape assembly and disassembly from a collection of particles would allow incredible resource availability and flexibility in domains ranging from the highly specialized and time-critical (soldiers in the field or medical technicians in the operating room) to the more mundane. In this work, we first developed theoretical concepts supporting the development and coordination of autonomous shape-forming particles. Building on this foundation, we constructed a 3-dimenstional particle simulation testbed to enable experimentation regarding hypotheses about the processes and structures required for automated shape assembly. Graduate Students PERCENT_SUPPORTED NAME FTE Equivalent:Total Number: Names of Post DoctoratesPERCENT_SUPPORTED NAME FTE Equivalent:Total Number: Names of Faculty SupportedPERCENT_SUPPORTED NAME FTE Equivalent:Total Number:Names of Under Gradu...

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“…The objective of platform clustering is to minimize the resultant DM workload -a weighted sum of external DM-DM (i.e., inter-DM) coordination and internal platform coordination load of a DM [G. Levchuk, 2000b].…”

Section: Phase II (Clustering)mentioning

confidence: 99%

Design and Analysis of Robust and Adaptive Organizations

Levchuk¹,

Meirina²,

Levchuk³

et al. 2001

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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 organization with respect to an organization optimally matched to a mission, as well as the DM activity and task workload as a function of time.Our previously developed mission modeling and three-phase organizational design methodology allowed one to overcome the computational complexity and to synthesize an organization via an iterative solution of a sequence of smaller and well-defined optimization problems [G. Levchuk et al., 2000a&b]. This paper extends this methodology to design robust and adaptive organizations. Introduction MotivationThe operational and cognitive capabilities of human decision-makers within an organization are limited, which requires that the responsibilities and the ensuing information, resources, and activities be distributed among them with care. In a highly competitive and distributed environment, a proper organizational design that defines the structure and processes is critical to superior organizational performance.When designing organizations to operate in an uncertain military environment, the specific information about many mission parameters may be inaccessible a priori, with only estimates (e.g., the forms of probability density functions, expected values and standard deviations, etc.) available to the designer. Once the mission scenario unfolds, the actual values of the parameters may require the implementation of a particular strategy to achieve desirable performance. Contingency theorists argue [Burton and Obel, 1998], and the empirical studies concur [Entin, 1999], that the effectiveness of an organization is influenced by the "degree of fit" between the requirements of the environment and the characteristics of an organization. The effort to achieve dynamic congruency in the face of changing environments forces organizations to adapt while they continue to operate [Mackenzie et al., 1996]. Not only an organization must evaluate its design against the environment to know when to adapt, but also, for an organization to succeed, the adaptation process must be smooth, efficient, and cost-effective.Thus, the challenge is to construct organizational architectures capable of: (i) operating in a timepressured and uncertain mission environment, (ii) capturing the necessary information about unforeseen dynamic changes in a mission environment and/or organization, and (iii) implementing the required on-line adaptation of structure and strategy. For this purpose, the existing scientific models of organizational design (e.g., [G. Levchuk et al., 2000a&b]) must be enhanced to equip an organization...

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Normative design of organizations. II. Organizational structure

Cited by 57 publications

References 20 publications

A task-resource allocation method based on effectiveness

A task-resource allocation method based on effectiveness

Cognitive Particles

Design and Analysis of Robust and Adaptive Organizations

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