TY - JOUR
T1 - Multiobjective optimization in multifunction multicapability system development planning
AU - Tan, Weiping
AU - Sauser, Brian J.
AU - Ramirez-Marquez, Jose Emmanuel
AU - Magnaye, Romulo B.
PY - 2013
Y1 - 2013
N2 - Properly allocating resources to achieve system development objectives has remained a challenge in systems engineering management. Various optimization models have been developed to optimize respective figures of merit (FOMs) subject to development constraints. System readiness level (SRL) is a system FOM that was originally introduced to assess the maturity of a system during its development lifecycle and has evolved to cover the development of multifunction multicapability (MFMC) systems. Optimization models which include SRL as either the objective or a constraint have been proposed for system development planning. Building on the definition of the recently enhanced MFMC SRL, this paper proposes a multiobjective optimization model, called MO-SRL, to simultaneously optimize the following: 1) the maturity of the system's selected functions or capabilities and 2) the consumption of development resources. An evolutionary algorithm is used to obtain a Pareto set of optimal solutions, where each solution represents a development plan informing which system components should be advanced to which maturity levels without exceeding a certain amount of resource consumption. With the consideration of SRL correlation to typical system development lifecycle, this model can identify several development alternatives for improving the system maturity to more advanced phases with minimum resource consumption, and these multiple alternatives provide systems engineering managers with flexibility in planning system development.
AB - Properly allocating resources to achieve system development objectives has remained a challenge in systems engineering management. Various optimization models have been developed to optimize respective figures of merit (FOMs) subject to development constraints. System readiness level (SRL) is a system FOM that was originally introduced to assess the maturity of a system during its development lifecycle and has evolved to cover the development of multifunction multicapability (MFMC) systems. Optimization models which include SRL as either the objective or a constraint have been proposed for system development planning. Building on the definition of the recently enhanced MFMC SRL, this paper proposes a multiobjective optimization model, called MO-SRL, to simultaneously optimize the following: 1) the maturity of the system's selected functions or capabilities and 2) the consumption of development resources. An evolutionary algorithm is used to obtain a Pareto set of optimal solutions, where each solution represents a development plan informing which system components should be advanced to which maturity levels without exceeding a certain amount of resource consumption. With the consideration of SRL correlation to typical system development lifecycle, this model can identify several development alternatives for improving the system maturity to more advanced phases with minimum resource consumption, and these multiple alternatives provide systems engineering managers with flexibility in planning system development.
KW - Multicapability
KW - Multifunction
KW - Multiobjective optimization
KW - Pareto optimal
KW - System development planning
KW - System maturity assessment
KW - Technology selection
UR - http://www.scopus.com/inward/record.url?scp=84887091428&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84887091428&partnerID=8YFLogxK
U2 - 10.1109/TSMCA.2012.2224336
DO - 10.1109/TSMCA.2012.2224336
M3 - Article
AN - SCOPUS:84887091428
SN - 1083-4427
VL - 43
SP - 785
EP - 800
JO - IEEE Transactions on Systems, Man, and Cybernetics Part A:Systems and Humans
JF - IEEE Transactions on Systems, Man, and Cybernetics Part A:Systems and Humans
IS - 4
ER -