Developments in Logistics and Supply Chain Management 2016
DOI: 10.1057/9781137541253_7
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Process Control in Agile Supply Chain Networks

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Cited by 2 publications
(2 citation statements)
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“…While the signs of impending natural disasters can sometimes be detected at an early stage and used for warnings, detecting their precursors is diffi cult and routine predictions remain elusive. The location, magnitude, and time of occurrence cannot be forecasted (L. Pearson 2012 ). Moreover, these natural disaster events are more likely to destroy the infrastructure (e.g., roads, bridges, and power lines) and superstructure (e.g., buildings) of the affected area, creating long-term disruptions for supply chains ( Altay and Ramirez 2010 ).…”
Section: The Multiple Shades Of Natural Force-induced Risksmentioning
confidence: 99%
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“…While the signs of impending natural disasters can sometimes be detected at an early stage and used for warnings, detecting their precursors is diffi cult and routine predictions remain elusive. The location, magnitude, and time of occurrence cannot be forecasted (L. Pearson 2012 ). Moreover, these natural disaster events are more likely to destroy the infrastructure (e.g., roads, bridges, and power lines) and superstructure (e.g., buildings) of the affected area, creating long-term disruptions for supply chains ( Altay and Ramirez 2010 ).…”
Section: The Multiple Shades Of Natural Force-induced Risksmentioning
confidence: 99%
“…The fundamental difference between conventional preparedness and intelligent preparedness lies in the way in which weather big data are leveraged (or lack thereof ) in managing weather-related risks. Facilitated by advance in wireless transmission network, large amounts of weather data are collected from weather satellites, remote sensing and GPS systems, and crowdsourced data ( Greengard 2014 ;O'Reilly 2014 ;M. Pearson 2012 ;Rosenbaum 2011 ).…”
Section: Toward Intelligent Preparednessmentioning
confidence: 99%