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

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.

A Sequential Convolution Network for Population Flow Prediction with Explicitly Correlation Modelling

Population flow prediction is one of the most fundamental components in many applications from urban management to transportation schedule. It is challenging due to the complicated spatial-temporal correlation.While many studies have been done in recent years, they fail to simultaneously and effectively model the spatial correlation and temporal variations among population flows. In this paper, we propose Convolution based Sequential and Cross Network (CSCNet) to solve them. On the one hand, we design a CNN based sequential structure with progressively merging the flow features from different time in different CNN layers to model the spatial-temporal information simultaneously. On the other hand, we make use of the transition flow as the proxy to efficiently and explicitly capture the dynamic correlation between different types of population flows. Extensive experiments on 4 datasets demonstrate that CSCNet outperforms the state-of-the-art baselines by reducing the prediction error around 7.7%∼10.4%.

Optimization of total transportation cost

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.

Solid Waste Management Practices at The Academic Institution: Current Situation and Strategic Plan

Waste management is one of the actionsof environmental management for improving environmental quality. This study describes the waste management in the campus through improvement of operational techniques, starting from container, collection, and transportation. Case study was taken in the university, which the amount of waste generation is about 166.559 kg/day or 0.013 L/person/day. The waste collection system is designed to use individual disaggregated sorting patterns that are adjusted to the composition of the waste, colour differentiation, and label of the container. Amount of sorted containers are 478 pieces. The waste collection system is planned by an indirect individual collection pattern and a temporary shelter plan in the form of a partition wall is adjusted to the composition of the waste. Planning for waste transportation system is using a fixed container system with motor cart under capacity of 2.3 m3 with 1 fleet. Transportation is carried out on a scheduled basis. Transportation management is arranged twice per-day for organic waste, once per-day for valuable waste, once per-week for hazardous waste, once every 2 days for other water. Transportation schedule is carried out twice per-day, in the morning and evening.

Let Teens Sleep In

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.

An Implementation of Repetitive Scheduling Method in Bus Transportation Schedule

Sustainable transportation is a transportation system that minimizes the impact on economic, social and environmental aspects. One of the land transportation used in Makassar is Bus Rapid Transit (BRT). Bus Rapid Transit (BRT) Trans Mamminasata is a public transportation service that can be used by the people of Makassar in middle and lower level. In public transport services is often found the uncertainty waiting time of bus arrival and departure at each stop. This research applies repetitive scheduling method in solving the scheduling problem to know the departure and arrival schedule of Bus Rapid Transit (BRT) at every stop. This research proposes the arrival and departure schedule of Bus Rapid Transit (BRT) based on each route at each stop. The result of the repetitive scheduling method is the duration of time and the number of units of the bus according to the condition intensity.