Neoj4 and SARMIX Model for Optimizing Product Placement and Predicting the Shortest Shopping Path

Product placement of top-selling items in highly visible aisles inside supermarkets plays a crucial role in enhancing customer shopping experience. Moreover, it is important for retailers to assure that their customers can effortlessly navigate the store and locate the items they are searching for in a timely manner. The research proposes a novel and effective approach that combines two methods; the SARIMAX model for forecasting sales of each product based on historical data; by using the predicted result, placing the most demanding item in highly visible aisles. And the use of Graph Database Management Systems (GDBMS) such as Neo4j to find the shortest path for consumers to navigate throughout the store to finish the shopping as per their shopping list. By leveraging the power of data analytics and machine learning, retailers can make data-driven decisions that result in improved sales andcustomer satisfaction. Retailers investing in these technologies and strategies will likely see a significant increase in customer satisfaction and sales

Courier delivery services visualisor (CDSV) with an integration of genetic algorithm and A* engine

Online shopping has become one of the popular mediums for people to use online transactions due to its economical and easiness.It is more convenient to those who simply do not have time to shop physically and prefer delivery service. However, the courier services nowadays are unable to keep up with the increasing consumer demand. The problem is caused by the delivery process that is not synchronized due to the problem of finding the best route of distribution. Distributors are unable to plan their distribution path with the minimal distance.Furthermore distributors are only able to reach each district distribution centre once a day and revisit the distribution centre will increase the time spent and operation cost. This study developed Courier Delivery Services Visualisor (CDSV) that is able to visualize the best route to be taken by distributor, so that the courier service can arrive on time.CDSV employed Genetic Algorithm (GA) and Astar Algorithm (A*) that integrates with Geographical Information System (GIS) data.A graphical user interface in the form of simulation map that suggests the best route and the optimal distance are displayed for easier courier service distribution references

EVALUATION OF THE VRP COMPLETION WITH DEVELOPING HYBRID GENETIC ALGORITHM USING FUZZY LOGIC CONTROLLER MODEL

This study discusses the results of modified Vehicle Routing Problem calculation using Hybrid Genetic Algorithm (HGA). It is shown that by modifying the Genetic Algorithm can provide good and effective solution. The results obtained were compared with the Standard Genetic Algorithm (SGA) and Modified Genetic Algorithm (MGA) to various problems the size of the node. For medium number of nodes (scenario 2) MGA get good results, but the resulting solution in the case of a small number of nodes that actually leads to local optima. However, it can be determined that the HGA is better than SGA and MGA. It could be argued that all three models of the genetic algorithm is an effective algorithm, if used in the right conditions. Key words: Node, VRP, SGA, MGA, HGA, FLC Model

THE ANALYSIS OF THE EFFECT ON PHYSICAL ENVIRONMENT FACTOR FOR NOISE AND LUMINOUS TO ACCURACY SCORE ON READING AND COLORS MATCHING

Experiment design is long process consists of complex process step and correlated so that it has to be done with critical and systematic process. Analysis technique used in this paper is analysis of variance, is the way to test variance from population. The main variables in this paper are noise intensity and luminous intensity, while other variables such as temperature, humidity, and times are assumed constant. The respondents are 15, taken from students which are in good health and no color blind and was done in the climate chamber in the laboratory, to read some readings and to match different 20 colors, and all has been scored. The results are, there is a significance different that luminous intensity affected the reading score and color matching, there is no significant different that noise intensity affected the reading score and color matching, and there is no interaction between luminous intensity and noise intensity for the reading score and color matching. Key words: noise intensity, luminous intensity, analysis of variance

PROPOSED OF DECISION POLICY MODEL DEVELOPMENT FOR CITY LOGISTICS STAKEHOLDERS

City Logistics and urban freight transport has become an important issue in urban planning. Challenges City Logistics is a matter of planning, scheduling, integrated short-term operation and resoureces management, for the general case involving two level distribution structure. The complexity of the matter distribution arrangements and conflicts between key stakeholder groups (government, corporate transport or logistics service providers, customers, the environment, and business) requires the solution of various approaches (Thompson and Taniguchi, 2001). There are four key stakeholders City Logistics system which has a complexity of issues and conflicts distribution arrangements between key stakeholder groups (Thompson, 2001), are : (1) shippers, (2) freight carriers, (3) residents, (4) administrators / Governments. Each group has its own specific purpose and has different habits and behaviors and needs that must be considered. Consolidation and coordination is a fundamental concept of City Logistics (Taniguchi, 2000). Complexity in the logistical demands of integrated decision-making authority between actors are autonomous and decentralized without disturbing the overall total activity. Key words: City Logistics, Stakeholders, Policy Model, integrated decision makin

An Investigation of Higher Capacity Urban Freight Vehicles

Studies have shown that increasing the capacity of Heavy Goods Vehicles is one of the most effective ways of reducing fuel consumption per tonne-kilometre of freight moved, with consequent reductions in greenhouse and noxious emissions. Some of the disadvantages of larger vehicles are more pronounced in urban environments, including safety of other road users, and reduced manoeuvrability. This thesis discusses technologies for improving safety of vulnerable road users, and frameworks for assessing the maximum size of urban freight vehicles. An overview of the freight industry is provided in Chapter 1, with a focus on maximising capacity as a method for reducing emissions. Chapter 2 focusses on the safety of vulnerable road users, through development of a camera-based detection system for cyclists, which is essential for a predictive collision avoidance system. The proposed system is accurate to within 10 cm at distances of greater than 1 m from the vehicle, but suffers from loss of accuracy at close range, and in poor lighting conditions. The logistics of urban freight operations are analysed in Chapter 3, including a comparison between two supermarket home delivery operations, and an analysis of refuse collection schedules. A framework is proposed for selecting an optimum vehicle size for a multi-drop operation, given reductions in driving distance and time spent on other procedures. A potential capacity increase of 80% is demonstrated, requiring a 50% reduction in driving distance, and automation of certain procedures. Chapters 4 to 6 propose a novel framework for assessing the optimum size of Heavy Goods Vehicles, according to the limits of their manoeuvrability. This method is based on simulation of vehicles attempting a library of real-world manoeuvres. Simulation models are described in Chapter 4, and path planning algorithms in Chapter 5. The framework is evaluated on three case studies: a 4.25 t grocery delivery vehicle, a 44 t articulated refuse collection vehicle, and a 44 t general urban vehicle with rear axle steering. A range of potential higher capacity vehicles are proposed in Chapter 6 for those applications The impact of rear axle steering on manoeuvrability is also considered in detail in Chapter 6. It is shown that the use of rear axle steering does not always allow the use of a longer vehicle, because a rear axle steered vehicle cannot compromise between cut-in and tailswing in the way a conventional vehicle can. However, the use of rear axle steering allows reduction in both tyre wear and rear axle load limits, which permits greater vehicle fill before rear axle loads are exceeded. These results are compared, in Chapter 7, to an alternative method for modelling manoeuvrability (Performance-Based Standards). Finally, Chapter 8 presents some concluding remarks and recommendations for future work, including investigation of an improved cyclist detection system fusing cameras and ultrasonic sensors, and increased development of the manoeuvrability models to more accurately reflect real driving.This work was supported by the EPSRC, as well as the Cambridge Vehicle Dynamics Consortium, and the Centre for Sustainable Road Freigh