Conceptual Model Development using Latin Hypercube Sampling for OHS Integration into Project Risk Evaluation

Publish Year: 1394
نوع سند: مقاله ژورنالی
زبان: English
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شناسه ملی سند علمی:

JR_IJIEPR-26-4_001

تاریخ نمایه سازی: 2 آبان 1396

Abstract:

Project management in construction industry, in many cases, is , imperfect with respect to the integration of Occupational Health and Safety (OHS) risks. This imperfection exhibits itself as complications , affecting the riskiness of industrial procedures and is illustrated usually by poor awareness of OHS within project teams. Difficulties on OHS regularly came about in the construction industry. The integration of OHS risk is not systematic in construction areas in spite of progressing laws and management systems. As project safety and risk evaluation in construction industry is an important issue, thus, the way of doing evaluation and liability estimation is necessary. In this paper, we propose a new systematic approach based upon Latin Hypercube Sampling (LHS) for integrating occupational health and safety into project risk evaluation. This approach tries to identify and evaluate reinforcement effects in a systematic approach for integrating OHS risks into project risk assessment. Furthermore, the proposed method allows evaluating and comparing OHS risks before and after the mitigation plan. A case study is used to prove the workability, credibility of the risk evaluation approach and uncomplicated integration of OHS risks at a construction project. This approach enables continual revaluation of criteria over the direction of the project or when new information is obtained. This model enables the decision makers such as project managers to integrate OHS risks toward schedule plan and compare them before and after the mitigation plan. The mentioned model is found to be useful for predicting OHS risks in construction industries and thus avoiding accidents over the path of the project.

Keywords:

Occupational Health and Safety (OHS) , Project Management Latin Hypercube Sampling (LHS) , Risk Assessment , Construction

Authors

yahia zare mehrjerdi

Department of Industrial Engineering, Yazd University, Yazd, Iran

ehsan haqiqat

Department of Industrial Engineering, Yazd University, Yazd, Iran