alexa Effect of Team Replacement Events on Risk Dormancy: Dynamic Probability Model
ISSN-2165-7556

Journal of Ergonomics
Open Access

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Research Article

Effect of Team Replacement Events on Risk Dormancy: Dynamic Probability Model

Farag Emad* and Ingman Dov

Faculty of Industrial Engineering and Management, Technion-Israel Institute of Technology, Israel

*Corresponding Author:
Farag Emad
Faculty of Industrial Engineering and Management
Technion–Israel Institute of Technology, Haifa 32000, Israel
Tel: 972-52-3995774
E-mail: [email protected]

Received Date: November 10, 2015; Accepted Date: January 19, 2016; Published Date: January 28, 2016

Citation: Emad F, Dov I (2016) Effect of Team Replacement Events on Risk Dormancy: Dynamic Probability Model. J Ergonomics 6:148. doi: 10.4172/2165-7556.1000148

Copyright: © 2016 Emad F, et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

 

Abstract

Today’s industrial organizations use multi-team (MT) efforts to achieve effective performance and enhance the quality of their work. MT work is characterized by multiple teams acting concurrently or sequentially to produce a specific outcome over time. This outcome could be in many cases accomplished only by team replacement (TR). MT's may also generate risks. These risks might not cause damage to the team right away, but might possibly create risk dormancy (RD). TR is a crucial interface between teams, and therefore successful TR should consider a set of risk evaluation procedures to avoid accidents. The risks include, but might not be limited to, hazard identification, alert from each other's hazardous activities, etc. The emphasis of this analysis is on the TR, its role, significance and attributes, from the standpoint of risk evaluation and detection, and its effect on RD. A new probabilistic model is suggested. The model is intended to predict the role of TR over the entire RD range. The model can be used to manage the RD as far as TR is concerned. The analysis is, in effect, an extension of the authors' earlier research on the problem of the MT risk dormancy (MTRD).

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