Bachelor Thesis - Industrial and Systems Engineering: Recent submissions
Now showing items 361-380 of 772
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Application of machine learning in machine failure prediction
(2022)Maximizing the life of machine is one of a manufacturer's key concerns. Machine failures might result in production line interruptions and expensive repairs. Therefore, manufacturing industries need solutions to save ... -
The berth allocation and quay crane assignment problem: A case study in Cat Lai Newport
(2022)The world economy is going down because of the covid 19 pandemic, the volume of goods moving by sea will decrease slightly in a short time, but in the long-term trend will still grow strongly. Vietnam's seaport system ... -
Constructing multiple choice tests from question banks using swarm based optimization
(2022)In this thesis, a popular swarm-based optimization is proposed to construct numerous multiple-choice tests from different question banks which can satisfy different criteria which is called Artificial Bees Colony (ABC) ... -
Application of optimization model for two-echelon inventory routing problem: A case of beverage distribution systems in Vietnam
(2022)Logistics costs in Vietnam are high compared to the region. Some businesses have adopted Vendor Managed Inventory (VMI) which has helped reduce costs and also limit the Bullwhip effect. However, when applying VMI, ... -
Adaptive large neighborhood search algorithm for multi-depot two echelon vehicle routing problem in last mile distribution
(2022)We introduce the Multi-depot Two-Echelon Vehicle Routing Problem while considering route optimization from numerous distribution centers called depots to certain intermediary facilities called satellites to the end client ... -
apply green vehicle routing problem: A case study Giaohangtietkiem
(2022)Nowadays, the expansion of global industry has resulted in great technological advancements and enhanced people's material lives. However, transport is the industry that releases the most gases and contributes to ... -
Sale forecasting in e-commerce using machine learning methods
(2022)In recent years, there has been an increasing interest in the field of E-commerce and the predictions for its sale forecast. Future prediction is the process of making number forecasts which mainly bases on the historical ... -
Forecasting impacts of covid-19 on Vietnam industrial sector: Machine learning approach
(2022)The objective of this study is to propose one or multiple good performance time-series forecasting models to forecast the Industrial Production Index (IPI) value of Vietnam in the short and medium term under the conditions ... -
Material requirement planning: A case study in scancom international
(2022)This research suggested a production planning system by applying the idea of Material Requirement Planning to solve the inventory problem of the Alu production line in Scancom International enterprise. The Holt-winters ... -
Applying multiple minimum support on classification based association
(2022)Association rule mining is one of the most important algorithms in data mining for Ecommerce. It discovers associations between items in the data that satisfy user-specified thresholds including minimum support and minimum ... -
Applying ergonomics on worker's posture: A case study of Thien Phu glass company
(2022)Musculoskeletal Disorders (MSDs) have been a substantial concern in production for many decades which challenge the researcher and manager to study and make changes in order to improve current workplace to prevent any ... -
Determining an optimal route for order picking in narrow aisles with deadlines and congestion factors
(2022)The order picking process typically contributes to the success of any warehouse management. In any warehouse operation, order picking contributes more than 60% of labor activities and 50% of the direct labor costs. Various ... -
Supply chain design: A case study of greenfeed company
(2022)Supply chain design is a substantial process that entails choosing where to locate facilities and how to assign routes in order to meet customer demands while reducing overall costs. The most important choice in supply ... -
Applying machine learning in forecasting hotel booking cancelations
(2022)Demand forecasting is vital to the tourism and hospitality industry because it helps the hotels' revenue management process to be controlled more effectively. However, Booking Cancellations usually significantly affect ... -
HUB and spoke network optimization: A case study of best express Vietnam
(2022)Nowadays, with the strong development of e-commerce, the demand of online shopping is more and more increasing that leads to delivery service and e-payment grow strongly with million orders per day. To satisfy customers’ ... -
MRP optimization model for a production system: A case study of Japan paper technology (VN) Co., LTD
(2022)Nowadays, some companies still have frequent delays in orders, the main reason is not providing materials in time, the coordination of information between departments is very slow, especially updated information about ... -
Tourism demand forecasting using a hybrid approach
(2022)The goal of this study is to explore and evaluate the efficiency of a hybrid model ARIMA-SVR in tourism demand forecasting. The proposed model uses the data from Law and Au (1999) that includes 30 years of the number of ... -
Handling product orders to improve delivery plan of best express
(2022)Vehicle Routing Problem with Spontaneous Pickup and Delivery (VRPSPD) is now a significant issue in the real world, particularly in the e-commerce industry for last-mile delivery of goods to customers. As online shopping ... -
Application of DMAIC in overall equipment effectiveness improvement: A case study of terumo BCT Vietnam
(2022)The purpose of this dissertation is to apply Lean Six Sigma DMAIC along with the framework of Six Big Losses analysis to study and find the most practical and cost saving ways to improve the current Overall Equipment ... -
Inventory management for food and beverage: A case study of Annam fine food
(2022)One of the most difficult tasks for retail units is determining how much of each type of product, which has its own distinct sell-by date, should be ordered in order to minimize the total cost of the system as a whole, ...