Mathematical model for analyzing the trade-offs in aircraft hangar deluge sprinkler systems design

1974 ◽  
Vol 10 (4) ◽  
pp. 304-314
Author(s):  
David Shpilberg
Author(s):  
Hoda A. ElMaraghy

A new coding system is introduced to classify manufacturing systems and capture the characteristics of the various pieces of equipment and the relationships among them within a manufacturing system, which contribute to their structural, time-independent inherent complexity. The manufacturing Systems Complexity Code (SCC) consists of fields representing equipment, such as machines, buffers and transporters, as well as their layout. Each field contains a string of digits, the value of which depends on the degree of structural, control, programming and operation complexity of theses entities. The developed coding system has many applications including manufacturing systems design, comparison and planning, assessment of their complexity and evaluation of redesign alternatives and trade-offs. The new coding system is described along with its applications and demonstration examples.


2020 ◽  
Vol 10 (3) ◽  
pp. 22
Author(s):  
Andy D. Pimentel

As modern embedded systems are becoming more and more ubiquitous and interconnected, they attract a world-wide attention of attackers and the security aspect is more important than ever during the design of those systems. Moreover, given the ever-increasing complexity of the applications that run on these systems, it becomes increasingly difficult to meet all security criteria. While extra-functional design objectives such as performance and power/energy consumption are typically taken into account already during the very early stages of embedded systems design, system security is still mostly considered as an afterthought. That is, security is usually not regarded in the process of (early) design-space exploration of embedded systems, which is the critical process of multi-objective optimization that aims at optimizing the extra-functional behavior of a design. This position paper argues for the development of techniques for quantifying the ’degree of secureness’ of embedded system design instances such that these can be incorporated in a multi-objective optimization process. Such technology would allow for the optimization of security aspects of embedded systems during the earliest design phases as well as for studying the trade-offs between security and the other design objectives such as performance, power consumption and cost.


1985 ◽  
Vol 29 (03) ◽  
pp. 212-222
Author(s):  
Zissimos Mourelatos ◽  
Panos Papalambros

The design of a marine shafting system is modeled mathematically in order to perform optimization studies with respect to shaft strength as well as longitudinal and vertical positioning of the bearings. The objective criteria used are minimization of the bearing reaction influence numbers and even distribution of the bearing loading. Design trade-offs can be thus established. The problem is posed in a nonlinear programming formulation and is solved using a standard generalized reduced gradient method (GRG2), but in a specialized solution strategy. Two examples from actual ship designs are presented.


2020 ◽  
Vol 142 (12) ◽  
Author(s):  
Ambrosio Valencia-Romero ◽  
Paul T. Grogan

Abstract Strategy dynamics are hypothesized to be a structural factor of interactive multi-actor design problems that influence collective performance and behaviors of design actors. Using a bi-level model of collective decision processes based on design optimization and strategy selection, we formulate a series of two-actor parameter design tasks that exhibit four strategy dynamics (harmony, coexistence, bistability, and defection) associated with low and high levels of structural fear and greed. In these tasks, design actor pairs work collectively to maximize their individual values while managing the trade-offs between aligning with or deviating from a mutually beneficial collective strategy. Results from a human subject design experiment indicate cognizant actors generally follow normative predictions for some strategy dynamics (harmony and coexistence) but not strictly for others (bistability and defection). Cumulative link model regression analysis shows that a greed factor contributing to strategy dynamics has a stronger effect on collective efficiency and equality of individual outcomes compared to a fear factor. Results of this study provide an initial description of strategy dynamics in engineering design and help to frame future work to mitigate potential unfavorable effects of their underlying strategy dynamics through social constructs or mechanism design.


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