TY - JOUR
T1 - Determination of the essential activity elements of an asbestos management system in the event of a disaster and their prioritization
AU - Baek, Seung Chan
AU - Kim, Young Chan
AU - Choi, Jun Ho
AU - Hong, Won Hwa
N1 - Publisher Copyright:
© 2016 Elsevier Ltd
PY - 2016/11/20
Y1 - 2016/11/20
N2 - Asbestos is now known to be extremely carcinogenic. Nevertheless, there has been a lack of research related to the asbestos management system in the event of a disaster. Therefore, the objective of this study is to determine the essential activity elements of asbestos management system and their priorities when disasters occur, in order to respond to the potential for asbestos damage during a disaster. As a starter, it extracted 44 activity elements of asbestos management system against disaster through literature review. It then selected 4 essential elements in rough classification, 11 in intermediate classification and 25 in detailed classification via delphi method, and quantified weighted values of the essential activity elements and their priority by using fuzzy analytic hierarchy process technique. ‘Prevention activity’ in the rough classification, ‘law and system improvement’ in intermediate classification, and ‘related law and legal system improvement’ in the detailed classification took the highest priority in each classification with weighted values standing at 0.63, 0.447 and 0.371, respectively. This is a significant study because it quantified the essential elements in asbestos management system by using delphi method and fuzzy analytic hierarchy process technique when there was no quantified asbestos management system anywhere in the world. The essential activity elements identified in the paper could help decision-makers select an appropriate disaster management system (e.g. supply chain management). Also, each quantified factor could provide a new direction for disaster management, and allow for a comprehensive management plan that considers the issue of asbestos. Finally, the weighted value of essential activity elements determined in this study will be an effective indicator for assessing any asbestos management system.
AB - Asbestos is now known to be extremely carcinogenic. Nevertheless, there has been a lack of research related to the asbestos management system in the event of a disaster. Therefore, the objective of this study is to determine the essential activity elements of asbestos management system and their priorities when disasters occur, in order to respond to the potential for asbestos damage during a disaster. As a starter, it extracted 44 activity elements of asbestos management system against disaster through literature review. It then selected 4 essential elements in rough classification, 11 in intermediate classification and 25 in detailed classification via delphi method, and quantified weighted values of the essential activity elements and their priority by using fuzzy analytic hierarchy process technique. ‘Prevention activity’ in the rough classification, ‘law and system improvement’ in intermediate classification, and ‘related law and legal system improvement’ in the detailed classification took the highest priority in each classification with weighted values standing at 0.63, 0.447 and 0.371, respectively. This is a significant study because it quantified the essential elements in asbestos management system by using delphi method and fuzzy analytic hierarchy process technique when there was no quantified asbestos management system anywhere in the world. The essential activity elements identified in the paper could help decision-makers select an appropriate disaster management system (e.g. supply chain management). Also, each quantified factor could provide a new direction for disaster management, and allow for a comprehensive management plan that considers the issue of asbestos. Finally, the weighted value of essential activity elements determined in this study will be an effective indicator for assessing any asbestos management system.
KW - Asbestos management system
KW - Delphi method
KW - Disaster
KW - Fuzzy AHP technique
UR - http://www.scopus.com/inward/record.url?scp=84990051112&partnerID=8YFLogxK
U2 - 10.1016/j.jclepro.2016.07.117
DO - 10.1016/j.jclepro.2016.07.117
M3 - Article
AN - SCOPUS:84990051112
SN - 0959-6526
VL - 137
SP - 414
EP - 426
JO - Journal of Cleaner Production
JF - Journal of Cleaner Production
ER -