Bachelor Thesis - Industrial and Systems Engineering: Recent submissions
Now showing items 341-360 of 772
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Vehicle Routing Problems: Case Study: Finding The Optimal Routing For Medicine Molnupiravir Distribution Through The Website From The Warehouse To The Ward Health Centre Station
(2022)The COVID-19 epidemic has caused a dramatic loss of human life and poses an unprecedented threat to food systems, public health, and the workplace in Vietnam. To reduce the risk of progression of Covid-19, Molnupiravir ... -
Order picking optimization with multiple pickers and and due dates
(2022)The world has encountered the terrible impact of Covid 19 pandemic, including the global economy and industry. Many organizations try to improve their system to reduce the cost and increase efficiency, especially in ... -
Apply six sigma method to improve service quality in road transportation: A case study of technology logistics company ecotruck
(2022)Nowadays, transportation plays an important to the supply chain over the world. Without transportation, the global supply chain will break down and a lack of supply to meet demand which increase. Taking advantage of that ... -
Application of deep learning models on time series analysis based stock price prediction
(2022)The stock market has been a promising investment market, full of potential, and yet a volatile market that requires the analytical skills of traders and investors. The nature of the stock price time series is always ... -
Application of machine learning in moisture content prediction of coffee drying process
(2022)Humidity prediction is not only the key success factor in maintaining product quality and shelf life but also an opportunity to save energy and steam in drying technology. The purpose of this thesis is to determine the ... -
Time-weighted recommendation system with association rules
(2022)Our thesis addresses changes in customers’ purchasing behavior subject to the nature of limited usage period of a product or service. We propose a novel time-weight Recommendation system with Associaton Rules. Our time ... -
An application of adaptive large neighborhood search for pickup and delivery problem with time windows (PDPTW): A case of food delivery service provider
(2022)Food“delivery service nowadays plays a crucial part in people's lives. It helps people save time, effort, and money. However, because the demand for home delivery services is increasing, fast delivery companies are ... -
Predictive models for equipment fault detection: Application in semiconductor industry
(2022)Predictive Maintenance (PdM) in manufacturing using Machine Learning (ML) techniques has been received much attention of many researchers and practitioners in recent years especially for capital-intensive industry such ... -
Application of hybrid genetic bees algorithm in solving just-in-time job shop scheduling problem
(2022)Just-in-Time Job Shop Scheduling (JIT JSS) is one of the job shop scheduling problems, in which every cost of operations is taken into consideration. Distinguishing this kind of problem of scheduling from others (makespan ... -
Order picking problem: A case study of TH True milk
(2022)Order picking is such an important stage in term of warehouse management. Although TH True is a milk production company, it also faces many problems including some difficulties related to order picking in finished good ... -
Demand forecasting and production planning in the footwear industry: A case study of a company in Vietnam
(2022)Demand forecasting and production planning are the two key factors which contribute to the success of a supply chain business. Nowadays, with the explosive growth in demand for fashion, especially footwear. Therefore, ... -
A game theory study for incentivizing multi-modal transportation in freight supply chain
(2022)Along with the constant development of the manufacturing industry, logistics and transportation are now playing a crucial role in domestic and foreign economies. An approach to optimizing the transshipment process and ... -
Application of random constructive heuristics algorithm and tabu search on 3-dimensional container loading problem
(2022)It is undeniable that finding the best logistics solutions for customers is the main task of a service provider, and this is never an easy thing. These solutions must be ideal and optimal in terms of workload, cost, time, ... -
Estimating occupancy in residential building by machine learning
(2022)The development of indoor environments for humans consumes a lot of energy. As such, an accurate occupancy prediction model is crucial for increasing the effectiveness of energy simulation and occupant-centric building ... -
Production planning considering machine failures simulation optimization approach
(2022)Controlling failures has stochastic features and is a challenging problem in production planning. The objective of this study is to optimize production planning and minimize inventory costs, including lateness penalties, ... -
Developing urban logidtics towards sustainable supply chain of fresh fruits during and post-covid-19 pandemic: A case of Ho Chi Minh city
(2022)In 2021, the Vietnamese economy in general and the logistics industry, in particular, have been significantly impacted by the complicated COVID-19 epidemic, especially the outbreak at the end of April. COVID-19 led to ... -
Application of just -in-time to the supply of materials for production lines: A case study of schnauzer energy LTD
(2022)Lean manufacturing has been a recent focus for manufacturing enterprises because of its ability to create a streamlined and continuous flow of materials. This operation concept prioritizes removing waste – what does not ... -
Large scale capacitated vehicle routing problem: A case study of a convenience store chain
(2022)The Capacitated Vehicle Routing Problem (CVRP) is a significant logistics and management NP-hard problem in the industrial sector. The CVRP appears in more large-scale and complicated scenarios as the urban planning ... -
Setting inventory and quantity based price strategy to maximize profit
(2022)In retail industry, dynamic pricing is a pricing strategy used by e-commerce and retail businesses using real-time data to calculate supply and demand factors to set prices for goods and services. Dynamic pricing strategy ... -
Machine learning in inorganic waste classification
(2022)Waste classification and processing are important issues in promoting a more sustainable economy and friendly living environment. Smart technology applications could change how waste could be handled and recycled to ...