Validating Human Performance Models: Building a House without Bricks

Author(s):  
Richard Steinberg ◽  
Raytheon Company ◽  
Alice Diggs ◽  
Raytheon Company ◽  
Jade Driggs

Verification and validation (V&V) for human performance models (HPMs) can be likened to building a house with no bricks, since it is difficult to obtain metrics to validate a model when the system is still in development. HPMs are effective for performing trade-offs between the human system designs factors including number of operators needed, the role of automated tasks versus operator tasks, and member task responsibilities required to operate a system. On a recent government contract, our team used a human performance model to provide additional analysis beyond traditional trade studies. Our team verified the contractually mandated staff size for using the system. This task demanded that the model have sufficient fidelity to provide information for high confidence staffing decisions. It required a method for verifying and validating the model and its results to ensure that it accurately reflected the real world. The situation caused a dilemma because there was no actual system to gather real data to use to validate the model. It is a challenge to validate human performance models, since they support design decisions prior to system. For example, crew models are typically inform the design, staffing needs, and the requirements for each operator’s user interface prior to development. This paper discusses a successful case study for how our team met the V&V challenges with the US Air Force model accreditation authority and successfully accredited our human performance model with enough fidelity for requirements testing on an Air Force Command and Control program.

1988 ◽  
Vol 32 (16) ◽  
pp. 1021-1025 ◽  
Author(s):  
Janet E. Lincoln ◽  
Kenneth R. Boff

In spite of the critical need to match the capabilities of complex human-interfaced systems to the capabilities and limitations of the human operator, relevant research findings on human perception and performance are seldom given systematic consideration in the design of control and display systems. A major reason is that the costs and risks associated with accessing, interpreting, and applying these data are unacceptably high to designers already overburdened with technical information. To help reduce these costs, the Integrated Perceptual Information for Designers (IPID) program has developed: (1) a procedure for compiling and integrating widely scattered human performance research data with potential application in system design; and (2) a format for presenting these data so they can be used directly by practitioners to support design decisions and trade-offs. This data consolidation procedure and presentation format have been used to produce a full-scale demonstration data resource, the Engineering Data Compendium, that integrates information from over 75 subareas of human perception and performance into a 4-volume reference work for designers.


Author(s):  
Emilio Moretti ◽  
Elena Tappia ◽  
Martina Mauri ◽  
Marco Melacini

AbstractIn a context where companies are striving to produce highly customised goods in small batches and within short lead times, increasing attention is being put on the design and management of part feeding systems. This research is the first to model automated part feeding to supermarkets in a factory environment, considering an innovative technology called vertical robotic storage and retrieval systems. This technology allows automating the storage, picking, and internal transportation activities in an integrated process, thanks to rack-climbing robots roaming in both the shop floor and the storage racks. We develop an analytical model based on the queuing network approach to analyse the system performance, and we use it to perform numerical experiments and to evaluate the design trade-offs with reference to a real case in the automotive industry. Results show that an increase in the number of robots leads to better performance since the positive impact on the response time is stronger than the negative impact on the waiting times of robots at the supermarkets due to congestion. Furthermore, a configuration with multiple small supermarkets improves the efficiency of the replenishment process, compared to a setting with few big supermarkets.


2021 ◽  
Author(s):  
Yasir Shoaib

The performance characteristics such as throughput, resource utilization and response time of a system can be determined through measurement, simulation modeling and analytic modeling. In this thesis, measurement and analytic modeling approaches are applied to study the performance of a Apache-PHP-PostgreSQL web application. Layered Queueing Network (LQN) analytic modeling has been used to represent the system's performance model. The measurements found from load testing are compared with model analysis results for model validation. This thesis aims to show that LQN performance models are versatile enough to allow development of highly granular and easily modifiable models of PHP-based web applications and furthermore are capable of performance prediction with sufficiently high accuracy. Lastly, the thesis also describes utilities and methods used for load testing and determination of service demand parameters in our research work which would aid in shortening time required in development and study of performance models of similar systems.


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