Optimal Selection of Organizational Structuring for Complex Systems Development and Acquisitions
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Authors
Dukes, Alexandra
Parrigon, Scott
Davendralingam, Navindran
Woo, Sang Eun
DeLaurentis, Daniel
Subjects
Advisors
Date of Issue
2017-03
Date
2017-03
Publisher
Monterey, California. Naval Postgraduate School
Language
Abstract
Research suggests that product designs tend to reflect the structure of the organization in which they are conceived (i.e., Conwayﾒs Law). Prior works on this topic, especially in the context of acquisitions, have been largely descriptive without prescribing tangible ways to reduce the inefficiencies resulting from possible misalignments between a productﾒs structure and the structure of the organization that builds the product. We present a mathematical modeling framework that enables the optimal selection of an organizationﾒs structure (here, the different ways that various types of program managers are allocated) and its product structure (here, a modular, complex system structure). We leverage quantitative and qualitative methods from areas of organizational sciences, systems engineering, and operations research in a unified manner. We demonstrate application to a defense acquisition concept problem that seeks to maximize overall performance of a complex system (the ﾓproductﾔ) being developed, while minimizing risks associated with mismatches between program manager competencies and system development (ﾓthe organizational structureﾔ).
Type
Presentation
Description
Series/Report No
Department
Organization
Identifiers
NPS Report Number
SYM-AM-17-123
Sponsors
Naval Postgraduate School Acquisition Research Program
Funder
Format
Citation
Distribution Statement
Rights
This publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. Copyright protection is not available for this work in the United States.