International University Library Repository: Recent submissions
Now showing items 1081-1100 of 5981
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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 ... -
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 ...