scholarly journals Dynamic post-disaster debris clearance problem with re-positioning of clearance equipment items under partially observable information

2020 ◽  
Vol 138 ◽  
pp. 352-372 ◽  
Author(s):  
Hamid R. Sayarshad ◽  
Xinpi Du ◽  
H. Oliver Gao
Keyword(s):  
Disaster Debris ◽  
Partially Observable ◽  
Post Disaster

scholarly journals A Decision-support Tool for Post-disaster Debris Operations

2015 ◽  
Vol 107 ◽  
pp. 154-167 ◽  
Author(s):  
Álvaro Lorca ◽  
Melih Çelik ◽  
Özlem Ergun ◽  
Pınar Keskinocak
Keyword(s):  
Decision Support ◽  
Decision Support Tool ◽  
Support Tool ◽  
Disaster Debris ◽  
Post Disaster

scholarly journals The Post-Disaster Debris Clearance Problem Under Incomplete Information

2015 ◽  
Vol 63 (1) ◽  
pp. 65-85 ◽  
Author(s):  
Melih Çelik ◽  
Özlem Ergun ◽  
Pınar Keskinocak
Keyword(s):  
Incomplete Information ◽  
Disaster Debris ◽  
Post Disaster

scholarly journals An Optimization-Based Decision-Support Tool for Post-Disaster Debris Operations

2016 ◽  
Vol 26 (6) ◽  
pp. 1076-1091 ◽  
Author(s):  
Álvaro Lorca ◽  
Melih Çelik ◽  
Özlem Ergun ◽  
Pınar Keskinocak
Keyword(s):  
Decision Support ◽  
Decision Support Tool ◽  
Support Tool ◽  
Disaster Debris ◽  
Post Disaster

Incorporating recycling into post-disaster debris disposal

2012 ◽  
Vol 46 (1) ◽  
pp. 14-22 ◽  
Author(s):  
Gary Fetter ◽  
Terry Rakes
Keyword(s):  
Disaster Debris ◽  
Post Disaster

Improvising Organizational Structure and Process: The Case of Post-disaster Debris Removal Operations

2017 ◽  
Vol 61 (1) ◽  
pp. 160-164
Author(s):  
Xin Zhang ◽  
David Mendonça ◽  
Martha Grabowski ◽  
Christopher Holmes
Keyword(s):  
Organizational Structure ◽  
Work Processes ◽  
Data Set ◽  
Organizational Improvisation ◽  
Debris Removal ◽  
The Right ◽  
Disaster Debris ◽  
Future Work ◽  
The Relationship ◽  
Post Disaster

Organizations are often called upon to restructure their work processes—and themselves—in nearly real-time to deal with unplanned-for contingencies. However, researchers are seldom present at the right place and time to deploy specialized instrumentation and thus capture appropriate data on these improvisations. Somewhat paradoxically, now more than ever, organizations are producing vast quantities of data on work process and structure. The goal of this work is to draw upon one such data set—on post-disaster recovery operations—to explore the interplay between improvised organizational structure and processes. The result of this work shows the pattern of organizational improvising behavior and elicits the relationship between ideation and decision making - two elemental processes of organizational improvisation. Future work directions are also discussed.

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