Operational Planning of Large-Scale Continuous Processes: Deterministic Planning Model and Robust Optimization for Demand Amount and Due Date Uncertainty

2012 ◽  
Vol 51 (11) ◽  
pp. 4347-4362 ◽  
Author(s):  
Jie Li ◽  
Peter M. Verderame ◽  
Christodoulos A. Floudas
Keyword(s):  
Robust Optimization ◽  
Large Scale ◽  
Operational Planning ◽  
Planning Model ◽  
Due Date ◽  
Continuous Processes

Supply chain optimization of large-scale continuous processes

2005 ◽  
Vol 29 (6) ◽  
pp. 1305-1316 ◽  
Author(s):  
E.P. Schulz ◽  
M.S. Diaz ◽  
J.A. Bandoni
Keyword(s):  
Supply Chain ◽  
Large Scale ◽  
Supply Chain Optimization ◽  
Continuous Processes

scholarly journals Health Care Coalitions as Response Organizations: Houston After Hurricane Harvey

2017 ◽  
Vol 11 (6) ◽  
pp. 637-639 ◽  
Author(s):  
Lori Upton ◽  
Thomas D. Kirsch ◽  
Melissa Harvey ◽  
Dan Hanfling
Keyword(s):  
Health Care ◽  
Human Services ◽  
Large Scale ◽  
The United States ◽  
Operational Planning ◽  
Advisory Council ◽  
East Texas ◽  
Health And Human Services ◽  
Department Of Health ◽  
Response Information

AbstractHealth care coalitions play an increasingly important role in both preparedness for, response to, and recovery from large scale disaster events occurring across the United States. The actions taken by the South East Texas Regional Advisory Council (SETRAC) in response to the landfall of Hurricane Harvey, and the consequential flooding that ensued, serve as an excellent example of how health care coalitions are increasingly needed to play a unifying role in response. This paper highlights a number of the strategic planning, operational planning and response, information sharing, and resource coordination and management activities that were undertaken for the response to Hurricane Harvey. The successful response to this devastating storm in the Houston, Texas area serves as an example to other regions across the country as they work to implement the 2017-2022 health care capabilities articulated by the Department of Health and Human Services Office of the Assistant Secretary for Preparedness and Response. (Disaster Med Public Health Preparedness. 2017;11:637–639)

scholarly journals An Enhanced Delivery Route Operational Planning Model for Electric Vehicles

IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 141762-141776 ◽  
Author(s):  
Pablo Diaz-Cachinero ◽  
Jose Ignacio Munoz-Hernandez ◽  
Javier Contreras ◽  
Gregorio Munoz-Delgado
Keyword(s):  
Electric Vehicles ◽  
Operational Planning ◽  
Planning Model ◽  
Delivery Route

scholarly journals Using ANT to Uncover the Full Potential of an Intelligent Operational Planning and Support Tool (IOPST) for Acute Healthcare Contexts

2013 ◽  
Vol 5 (2) ◽  
pp. 29-49 ◽  
Author(s):  
Imran Muhammad ◽  
Fatemeh Hoda Moghimi ◽  
Nyree J. Taylor ◽  
Bernice Redley ◽  
Lemai Nguyen ◽  
...  
Keyword(s):  
Network Theory ◽  
Large Scale ◽  
Actor Network Theory ◽  
Operational Planning ◽  
Full Potential ◽  
Proof Of Concept ◽  
Support Tool ◽  
The Many ◽  
Acute Healthcare ◽  
Large Scale Clinical Trial

Based on initial pre-clinical data and results from focus group studies, proof of concept for an intelligent operational planning and support tool (IOPST) for nursing in acute healthcare contexts has been demonstrated. However, moving from a simulated context to a large scale clinical trial brings potential challenges associated with the many complexities and multiple people-technology interactions. To enable an in depth and rich analysis of such a context, it is the contention of this paper that incorporating an Actor-Network Theory (ANT) lens to facilitate analysis will be a prudent option as discussed below.

scholarly journals Bilevel Traffic Evacuation Model and Algorithm Design for Large-Scale Activities

2017 ◽  
Vol 2017 ◽  
pp. 1-13 ◽  
Author(s):  
Danwen Bao ◽  
Jiayu Gu ◽  
Junhua Jia
Keyword(s):  
Large Scale ◽  
Algorithm Design ◽  
Arrival Rate ◽  
Planning Model ◽  
Objective Functions ◽  
Swarm Optimization ◽  
Evacuation Time ◽  
Classic Model ◽  
The Road

This paper establishes a bilevel planning model with one master and multiple slaves to solve traffic evacuation problems. The minimum evacuation network saturation and shortest evacuation time are used as the objective functions for the upper- and lower-level models, respectively. The optimizing conditions of this model are also analyzed. An improved particle swarm optimization (PSO) method is proposed by introducing an electromagnetism-like mechanism to solve the bilevel model and enhance its convergence efficiency. A case study is carried out using the Nanjing Olympic Sports Center. The results indicate that, for large-scale activities, the average evacuation time of the classic model is shorter but the road saturation distribution is more uneven. Thus, the overall evacuation efficiency of the network is not high. For induced emergencies, the evacuation time of the bilevel planning model is shortened. When the audience arrival rate is increased from 50% to 100%, the evacuation time is shortened from 22% to 35%, indicating that the optimization effect of the bilevel planning model is more effective compared to the classic model. Therefore, the model and algorithm presented in this paper can provide a theoretical basis for the traffic-induced evacuation decision making of large-scale activities.

Operational planning of a large-scale multi-modal transportation system

2004 ◽  
Vol 156 (1) ◽  
pp. 41-53 ◽  
Author(s):  
Benjamin Jansen ◽  
Pieter C.J. Swinkels ◽  
Geert J.A. Teeuwen ◽  
Babette van Antwerpen de Fluiter ◽  
Hein A. Fleuren
Keyword(s):  
Large Scale ◽  
Transportation System ◽  
Operational Planning
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