Optimization of Transportation Schedule

2018 ◽  
Author(s):  
Aatmaj Janardanan ◽  
Deepa Rajendran ◽  
Varun Menon Nallur
Keyword(s):  
Transportation Schedule

scholarly journals Visual Analytics Approach to User-Controlled Evacuation Scheduling

2008 ◽  
Vol 7 (1) ◽  
pp. 89-103 ◽  
Author(s):  
Gennady Andrienko ◽  
Natalia Andrienko ◽  
Ulrich Bartling
Keyword(s):  
Visual Analytics ◽  
Analytical Approach ◽  
Emergency Evacuation ◽  
Affected Area ◽  
Complex Information ◽  
Heterogeneous Objects ◽  
Temporal Aspects ◽  
Time Critical ◽  
Transportation Schedule ◽  
Geographical Space

Application of the ideas of visual analytics is a promising approach to supporting decision making, in particular, where the problems have geographic (or spatial) and temporal aspects. Visual analytics may be especially helpful in time-critical applications, which pose hard challenges to decision support. We have designed a suite of tools to support transportation-planning tasks such as emergency evacuation of people from a disaster-affected area. The suite combines a tool for automated scheduling based on a genetic algorithm with visual analytics techniques allowing the user to evaluate tool results and direct its work. A transportation schedule, which is generated by the tool, is a complex construct involving geographical space, time, and heterogeneous objects (people and vehicles) with states and positions varying in time. We apply task-analytical approach to design techniques that could effectively support a human planner in the analysis of this complex information.

scholarly journals Optimization of total transportation cost

2020 ◽  
Vol 26 (1) ◽  
pp. 57-63
Author(s):  
Adamu Isah Kamba ◽  
Suleiman Mansur Kardi ◽  
Yunusa Kabir Gorin Dikko
Keyword(s):  
Transportation Problem ◽  
Research Work ◽  
Minimum Cost ◽  
Transportation Cost ◽  
Strategic Decision ◽  
Distribution Method ◽  
North West ◽  
Total Transportation Cost ◽  
Transportation Schedule ◽  
Furniture Factory

In this research work, the study used transportation problem techniques to determine minimum cost of transportation of Gimbiya Furniture Factory using online software, Modified Distribution Method (MODI). The observation made was that if Gimbiya furniture factory, Birnin Kebbi could apply this model to their transportation schedule, it will help to minimize transportation cost at the factory to ₦1,125,000.00 as obtained from North west corner method, since it was the least among the two methods, North west corner method and Least corner method. This transportation model willbe useful for making strategic decision by the logistic managers of Gimbiya furniture factory, in making optimum allocation of the production from the company in Kebbi to various customers (key distributions) at a minimum transportation cost. Keywords: North West corner, Least corner, Transportation problem, minimum transportation.

Let Teens Sleep In

2020 ◽  
Author(s):  
Angela Duckworth ◽  
Keyword(s):  
High School ◽  
High School Students ◽  
Control Strategies ◽  
Self Control ◽  
Biological Clocks ◽  
School Students ◽  
Start Time ◽  
Flip Flop ◽  
Car Accidents ◽  
Transportation Schedule

Last month, I wrote about the different ways that self-control strategies can help all of us, especially the teenagers in our lives, sleep better. I hope these tips have helped you make progress on your own New Year's resolutions. But self-control isn't the only way to fight temptation. Sometimes, the smartest solution is for other people to solve our problems for us. In particular, one policy change could radically increase the amount of time teenagers sleep: delay the start time of classes to an hour that more closely fits their biological clocks. A recent Rand report concluded that starting both middle and high school classes no earlier than 8:30 a.m. would translate into $8.6 billion in economic gains within two years of the change. How so? Adequate sleep can improve academic achievement, which correlates with higher income in adulthood. And more well-rested teenagers get into fewer car accidents. Like so many common sense policies, delaying start times for high school students has met with resistance. One issue is budget: for many districts, it's necessary to stagger bus schedules to save money. True, but why not flip-flop times so that elementary school students—who are natural morning larks—are picked up earlier, making it possible for middle and high school students—who are natural night owls—to go later? “Well, I don't love the idea of my 11-year-old waiting for the bus in the dark,” one mom told me. Her district had just announced precisely the sort of transportation schedule I'm describing.

Optimal transportation schedule for a Lumber company in Ghana

2015 ◽  
Vol 2 ◽  
pp. 47-52 ◽  
Author(s):  
Douglas Kwasi Boah ◽  
Isaac Kwasi Adu ◽  
Stephen Eduafo
Keyword(s):  
Optimal Transportation ◽  
Transportation Schedule

scholarly journals A Rapid Search Method for Scheduling Delivery of Multiple Automated Guided Vehicles

2022 ◽  
Author(s):  
Koki Meno ◽  
Ayanori Yorozu ◽  
Akihisa Ohya
Keyword(s):  
Numerical Simulations ◽  
Search Method ◽  
Automated Guided Vehicles ◽  
Automated Guided Vehicle ◽  
Scheduling Problem ◽  
Two Dimensional ◽  
Dimensional Array ◽  
End Point ◽  
Transportation Scheduling ◽  
Transportation Schedule

Abstract In this study, a method was developed to address the automated guided vehicle (AGV) transportation scheduling problem. For deliveries in factories and warehouses, it is necessary to quickly plan a feasible transportation schedule without delay within a specified time. This study focused on obtaining a transport schedule without delay from the specified time while maintaining the search for a better solution during the execution of the transport task. Accordingly, a method was developed for constructing a solution with a two-dimensional array of delivery tasks for each AGV, arranged in the order in which they are executed, as well as for searching for a schedule by performing exchange and insertion operations. For the exchange and insertion, a method that considers the connectivity between the end point of a task and the start point of the next task was adopted. To verify the effectiveness of the proposed method, numerical simulations were performed assuming an actual transportation task.

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