کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
5019623 1468211 2017 18 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Enhancing human performance in ship operations by modifying global design factors at the design stage
ترجمه فارسی عنوان
افزایش کارایی انسان در عملیات کشتی با تغییر عوامل طراحی جهانی در مرحله طراحی
کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه سایر رشته های مهندسی مهندسی مکانیک
چکیده انگلیسی


- Models linking the effect of GDFs with the human performance are established.
- Three global design factors (GDFs) are considered: ship motion, body vibration, noise.
- Attention Management concept as theoretical base is modelled with Bayesian Networks.
- Two models are developed that can be used for the relative comparison of ship designs.

Usually the improvements of human performance in the course of ship design process is carried out by modifying local ergonomics, like electronic visualisation and information display systems on the bridge or in the engine control room, stair or hatch covers design. However, the effect of global design factors (GDFs), such as ship motion, whole body vibration and noise, on human performance has not been given attention before. Such knowledge would allow the improvements of human performance by effective design modification on very early stage of ship design process.Therefore, in this paper we introduce probabilistic models linking the effect of GDFs with the human performance suitable for ship design process. As a theoretical basis for modelling human performance the concept of Attention Management is utilized, which combines the theories described by Dynamic Adaptability Model, Cognitive Control Model and Malleable Attentional Resources Theory.Since the analysed field is characterised by a high degree of uncertainty, we adopt a specific modelling technique along with a validation framework that allows uncertainty treatment and helps the potential end-users to gain confidence in the models and the results that they yield. The proposed models are developed with the use Bayesian Belief Networks, which allows systematic translation of the available background knowledge into a coherent network and the uncertainty assessment and treatment.The obtained results are promising as the models are responsive to changes in the GDF nodes as expected. The models may be used as intended by naval architects and vessel designers, to facilitate risk-based ship design.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Reliability Engineering & System Safety - Volume 159, March 2017, Pages 283-300
نویسندگان
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