The existing approach of SE to design of SocioEconomic Systems is an algorithmic method completed only through several iterative processes. Such an approach which depends on skill, knowledge, attitude, and experience (SKAE) of members of the design team is considered heuristic and does not give a formal theoretical framework to systems designers. This study has utilized principles of Axiomatic Design (AD) to resolve shortcomings of the existing models of SE; it serves to present a science-based model of SE to help design systems in a well-defined approach. In this regard, both "Cost" and "Complexity"; which arise from coupling among "System Requirements (FRs)" are eliminated. With the help of suitable examples, we show this approach to be superior to the existing ones in the field of SE. For the case-study, we use the existing design of demand-supply subsystem of U. S. electric power sector, based on data provided by the U.S. Energy Information Administration (EIA). The result for 2012 shows the symptoms of a poor design and ineffectiveness due to coupling among the FRs of this subsystem.  Index Terms-systems engineering (SE) process, design of engineering systems, axiomatic design (AD), system requirements coupling, cost, complexity

To control manufacturing processes, integration of flows of manufacturing information is an important starting point. In this regard, an effective Integrated Manufacturing Information System (IMIS) which is capable of monitoring, analyzing, and inspecting manufacturing processes properly is critical. Often, most of difficulties in achieving an effective IMIS stem from a poor design for the system architecture. This study particularly addresses the problem of coupling in architecture of an IMIS and its effect on the system performance. This study employs “Independence Axiom” of the Axiomatic Design (AD) theory to deal with the problem and uses “times in process” and “utilized capacities of available resources” as two important criteria for evaluating the system performance. To verify the proposed methodology, a real IMIS is addressed, its stochastic behavior is simulated in Visual SLAM and AweSim (version 3.o) software environment, and the outcomes are analyzed by using logistic regression method for each level of system decomposition. Results of the analyses indicate that fulfillment of independence axiom of AD theory can significantly enhance performance of the concerned IMIS.

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Shear and Compressional Wave Velocities along with other Petrophysical Logs, are considered as upmost important data for Hydrocarbon reservoirs characterization. In this study, porosity of the extracted rocks form concerned wells is interest as it can indicate the oil capacity of the wells of interest. In this study, we employ the principles of Axiomatic Design theory, specially the first (independence) axiom, to more simplify the measurement system. Also, to clarify the strength of Axiomatic Design theory in reducing the complexity of the system and optimizing the measurement system, we utilize the The Lolimot model (LOcal LInear MOdel Tree) as a model from the neural network family and apply it before and after implementing the basic logic of Axiomatic Design (AD) theory. In addition, in order to illustrate strength of the proposed method emphasizing the effectiveness of a method which benefit from both AD theory and Lolimot model together, the existing system used to measure the rock porosity is addressed and actual data related to one of wells located in southern Iran is utilized. The results of the study show that integrating the Axiomatic Design principles with the LOLIMOT method leads to the least complex and most accurate results.