TIERS: Topology IndependEnt Pipelined Routing and Scheduling for VirtualWire ™ Compilation

1995 ◽  
Author(s):  
C. Selvidge ◽  
A. Agarwal ◽  
M. Dahl ◽  
J. Babb
Keyword(s):  
Routing And Scheduling

Joint Routing and Scheduling of Mobile Charging Infrastructure for V2V Energy Transfer

2021 ◽  
pp. 1-1
Author(s):  
Mohammad Ekramul Kabir ◽  
Ibrahim Sorkhoh ◽  
Bassam Moussa ◽  
Chadi Assi
Keyword(s):  
Energy Transfer ◽  
Charging Infrastructure ◽  
Routing And Scheduling

Routing and Scheduling of Electric Buses for Resilient Restoration of Distribution System

2021 ◽  
pp. 1-1
Author(s):  
Boda Li ◽  
Ying Chen ◽  
Wei Wei ◽  
Shaowei Huang ◽  
Yufeng Xiong ◽  
...  
Keyword(s):  
Distribution System ◽  
Routing And Scheduling

A system dynamics model for routing and scheduling of cross-dock and transportation in reverse logistics network of perishable goods

2021 ◽  
pp. 1-17
Author(s):  
Pezhman Abbasi Tavallali ◽  
Mohammad Reza Feylizadeh ◽  
Atefeh Amindoust
Keyword(s):  
System Dynamics ◽  
Reverse Logistics ◽  
Logistics Network ◽  
Routing And Scheduling ◽  
Perishable Goods ◽  
Decision Variables ◽  
Proposed Model ◽  
Reverse Logistics Network ◽  
The Cross ◽  
Space Requirements

Cross-dock is defined as the practice of unloading goods from incoming vehicles and loading them directly into outbound vehicles. Cross-docking can simplify supply chains and help them to deliver goods to the market more swiftly and efficiently by removing or minimizing warehousing costs, space requirements, and use of inventory. Regarding the lifetime of perishable goods, their routing and scheduling in the cross-dock and transportation are of great importance. This study aims to analyze the scheduling and routing of cross-dock and transportation by System Dynamics (SD) modeling to design a reverse logistics network for the perishable goods. For this purpose, the relations between the selected variables are first specified, followed by assessing and examining the proposed model. Finally, four scenarios are developed to determine the optimal values of decision variables. The results indicate the most influencing factors on reaching the optimal status is the minimum distance between the cross-dock and destination, rather than increasing the number of manufactories.

scholarly journals How to Optimize Joint Routing and Scheduling Models for TSN Using Integer Linear Programming

2021 ◽  
Author(s):  
David Hellmanns ◽  
Lucas Haug ◽  
Moritz Hildebrand ◽  
Frank Dürr ◽  
Stephan Kehrer ◽  
...  
Keyword(s):  
Linear Programming ◽  
Integer Linear Programming ◽  
Routing And Scheduling ◽  
Scheduling Models
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