
Duc Duy NguyenHo Chi Minh City University of Technology | HCMUT · Department of Industrial Systems Engineering
Duc Duy Nguyen
Doctor of Philosophy
About
35
Publications
11,428
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115
Citations
Introduction
Duc Duy got an "Excellent Ph.D. dissertation" in May -2021 at the Management Technology program at SIIT, Thammasat University. He has developed and applied optimization and machine learning methodologies to different engineering problems. His research area is data-driven decision-making by applying Operation research, simulation, and machine learning in Logistics and Supply Chain Management and Advanced manufacturing technology. He got 2 years of "Excellent Lecturer Award" from HCMUT-VNU.
Publications
Publications (35)
Biomass is an important renewable energy resource. Typically, a biomass supply chain is often very large and complex due to the large number of facilities within the supply chain and uncertain factors considered. In this research, a mathematical model that can be used to determine the number and locations of biomass plants is proposed. The objectiv...
Renewable energy resources have received increasing attention due to environmental concerns. Biomass, one of the most important renewable energy resources, is abundant in agricultural-based countries. Typically, the biomass supply chain is large due to the huge amount of relevant data required for building the model. As a result, using a standard o...
Due to the availability of Industry 4.0 technology, the application of big data analytics to automated systems is possible. The distribution of products between warehouses or within a warehouse is an area that can benefit from automation based on Industry 4.0 technology. In this paper, the focus was on developing a dynamic route-planning system for...
This paper focuses on designing multi-objective biomass supply chain planning models that aim to simultaneously minimize the total cost and the carbon footprint from the transportation. Stochastic and fuzzy models were developed for making strategic (optimal plant locations) and tactical decisions (material flows, truck types, etc.), while capturin...
This paper presents an integrated methodology for biomass supply chain planning, using a stochastic optimisation model and machine-learning algorithms. A methodology that integrates machine-learning algorithms with the optimisation process was proposed in order to generate solutions for large-scale supply chain optimisation problems. Models based o...
Returns in e-commerce are a significant cost factor, impacting the firms' profitability and customer satisfaction. This paper proposes a fuzzy possibilistic programming model for designing a multi-echelon reverse logistics network to optimise return management under uncertainty from returned demand, transportation and inventory costs. The model det...
Nowadays, the increasing demand for specimen or sample collection and testing at private centres has necessitated the development of advanced specimen collection models. This research addresses patient diagnostic specimen collection routing problems with fuzzy time windows. Firstly, mixed-integer programming is formulated to optimise the specimen c...
Purpose
In the apparel industry, suppliers play a significant role, directly affecting customer service levels and business profits. Integrating sustainable requirements into supplier selection not only aligns with global environmental goals but also enhances business performance, social responsibility and overall industry well-being. This study ai...
Biomass energy plays an essential role in renewable energy for many reasons, such as reducing the dependence on fossil fuels and lowering greenhouse gas emissions, providing heat, electricity, and biofuels for various applications, and utilizing waste materials for helpful energy products. Besides, it can create employment opportunities and promote...
Overall Equipment Effectiveness (OEE) stands as a key performance metric widely adopted in the manufacturing industry, aiding in enhancing productivity. This metric offers a comprehensive overview to higher management, enabling them to identify equipment-related losses. With the advancements in Industry 4.0 technologies, the Manufacturing Execution...
Supplier selection plays a vital role in supplier management, which
decides the success of the supply chain. This study proposes a supplier selection
framework, FAHP-TOPSIS, to overcome the challenges associated with imprecise information in the decision-making process. A list of criteria is initially
identified through an extensive literature revi...
The proposed approach for New Product Development (NPD) is intended to enhance the competitive advantages of start-up businesses. The new products were mainly developed by doing competitor analysis and checking the voice of customers. First, identifying the top competitors of the companies by the Competitor Profile Matrix (CPM) method. Then, the be...
Sustainable site selection for cold storage warehouses is a critical aspect of modern supply chain management and environmental responsibility. As the demand for frozen and refrigerated goods continues to rise, it is essential to carefully consider the location of cold storage facilities to minimise their environmental impact and ensure long-term s...
Renewable energy significantly reduces a nation's reliance on fossil fuels, enhances energy security, and promotes sustainable development, among other positive impacts. Strategic selection of facility locations is the most important in designing a supply chain network. To develop a sustainable supply chain, we propose a multi-objective mixed integ...
The emergence of orders with short time windows in the era
of E-commerce results in the need to increase order-picking efficiency.
One common method to improve the order-picking efficiency is a proper
storage location assignment aiming at optimizing the order-picking time
of an order. In this study, a clustering algorithm is developed to tackle the...
Seam puckers or seam wrinkles are defects that commonly occur in garment manufacturing. Despite the advancements of nowadays modern sewing technologies, encountering such defects is unavoidable. As a result, manufacturers need quality management staff to evaluate the pucker’s level and check whether puckers appear. Consequently, the task consumes m...
Milk tea or Bubble tea is currently growing and becoming entirely developed. Through our investigation into how milk tea shops are constructed nowadays, we discovered that there are no precise plans for handling and building projects; instead, milk tea shops are merely created and controlled using manual solutions. Therefore, we utilize Work Breakd...
This study aims to improve the efficiency and effectiveness of warehousing activities and remove manual handling by designing and developing a warehouse management information system. Our methodology is based on the waterfall model with six steps: Analysis, System Design, Implementation, Integration, Operation and Maintenance. The system was formul...
In supervised machine learning applications, feature construction may be used to create additional, informative features with the aim to support the prediction of the target output. This study investigates the impact of feature construction, specifically the use of quadratic and interaction terms, on the predictive performance of a classifier. More...
Using an information system for managing export and international shipping orders from Vietnam in the context of supply chain management can be a strategy to ensure the Vietnam logistics system's success. This research focuses on designing an order management system with a case study in Vietnam. Through the Systems Engineering Methodology, an appro...
In the current manufacturing world, Lean Manufacturing techniques have been implemented to reduce waste, create value added to customers achieve benefits and incremental improvements in operations. This study presents a Lean manufacturing application for a helmet company in Vietnam that faces waste in system problems, long production times, and hig...
This paper presents an application of Lean Six Sigma in a push-belts Manufacturing company for the Automotive industry. The comprehensive Six Sigma strategy DMAIC (define, measure, analyze, improve and control) and several Lean tools are adopted to identify root causes and improve manufacturing processes. Firstly, the problem is identified through...
Demand forecasting is essential in supply chains, especially in the COVID 19 pandemic. Using appropriate time series forecasting methods, the demand can be predicted at a high level of accuracy. Therefore, decision-makers can make good decisions to satisfy customers and maximize benefits. In this paper, we investigate the applicability of the machi...
Renewable energy is an alternative resource to ensure energy security in many countries and in reducing environmental problems. An efficient supply chain network from renewable resources is one of the critical factors in the success of renewable energy systems. As the ASEAN country with the highest economic development rate and one of the most vuln...
In supervised machine learning applications, feature construction may be used to create additional, informative features with the aim to support the prediction of the target output. This study investigates the impact of feature construction, specifically the use of quadratic and interaction terms, on the predictive performance of a classifier. More...
The demand for daily food purchases has increased dramatically, especially during the Covid-19 pandemic. This requires suppliers to face a huge and complex problem of delivering products that meet the needs of their customers on a daily basis. It also puts great pressure on managers on how to make day-today decisions quickly and efficiently to both...
This paper focuses on designing multi-objective biomass supply chain planning models that aim to simultaneously minimize the total cost and the carbon footprint from the transportation. Stochastic and fuzzy models were developed for making strategic (optimal plant locations) and tactical decisions (material flows, truck types, etc.), while capturin...
This study describes a pickup and delivery vehicle routing problem, considering time windows in reality. The problem of tractor truck routes is formulated by a mixed integer programming model. Besides this, three algorithms - a guided local search, a tabu search, and simulated annealing - are proposed as solutions. The aims of our study are to opti...
This paper presents an advanced methodology that integrates a machine learning methodology into an optimization process. The framework of an interactive machine learning algorithm was developed to meet the challenges in solving large-scale optimization problems. An artificial neural network (ANN) is used with the knowledge gained from solving previ...
Due to an advancement in Industry 4.0 technology, various autonomous systems have been developed in order to increase the operational efficiency. This paper considers an application of Industry 4.0 technology to an autonomous transportation operation. The paper focuses on applying a machine learning technique to a dynamic path planning problem wher...
The usage of renewable energy resource has received increasing attention due to environmental concerns from the usage of fossil fuel. Biomass is one of the renewable energy resources, which is abundant in countries that rely on agricultural products. Biomass is also considered a carbon-neutral renewable energy resource, although carbon dioxide is r...
Personnel scheduling is one of the most difficult problems in any organizations because of stochastic factors from human such as variability in emotion, attitude, and mindset. Therefore, managers are under pressure to arrange personnel accurately as well as assure equals time working or salary between them. Almost those arrangements base on heurist...
Công tác nghiên cứu thiết kế vị trí mặt bằng tại xưởng chính của công ty TNHH Thép Chương Dương tại Biên Hòa- Đồng Nai được thực hiện bằng việc thu thập dữ liệu liên quan đến mặt bằng, các bước gia công sản phẩm vì cèo và cống(hai sản phẩm chính của công ty), số lượng điện năng cẩu trục tốn trong một ngày làm việc và một số thông tin khác. Sau khi...