International University Library Repository: Recent submissions
Now showing items 741-760 of 5981
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Predictive maintenance in predicting machine failures at unilever: A log-based approach using machine learning algorithm
(2023-05)Log-based predictive maintenance creates opportunities for companies to apply proactive maintenance strategy using existing data without expensive hardware installation. The primary goal of this research is to develop ... -
Metaheuristics for generalized order acceptance and scheduling problem with batch delivery
(2023)In order to address a more complex form of the generalized order acceptance and scheduling problem, the study looks into incorporating logistics into the production scheduling decisions. The order acceptance and ... -
A machine learning based approach for backorders prediction: A study of NPT e-commerce company
(2023)NPT is a corporation that specializes in E-commerce cooperation. Their primary lines of business include retail sales and operations, digital marketing, customer service, warehousing, and fulfillment. The company ... -
Customer churn prediction in telecommunication industry using application of machine learning
(2023)The concept of customer churn in telecommunications is important because it can help organizations better understand their customers' needs and preferences. It can also be used to develop more effective marketing ... -
A two-phase approach in planning and scheduling for a make and pack production
(2023)In this paper, the production planning and scheduling problem in the make-and-pack industry is studied and addressed via a case study from a liquid manufacturing company. This project aims to develop and integrate ... -
Capacitated vehicle routing problem with windows for inventory replenishmet: A case study of highlands coffee
(2023)Highlands Coffee, one of Vietnam's most popular coffee chains, is currently dealing with inefficiencies in the supply chain and inventory control at stores. The root cause of this scenario is that inventory replenishment ... -
Supplier selection with total quantity discount policy and activation costs under uncertainty: A case study of ABC company
(2023)This research delves deeply into the complexities of the Capacitated Supplier Selection problem, with a specific focus on integrating the Total Quantity Discount policy and Activation Costs in the procurement process. ... -
A two-stage stochastic approach for closed loop supply chain design uncertainty: A case study of Coca-Cola berverages Vietnam
(2023)Under the context of circular economy, FMCG industry has reached the threshold of billions of products sold every day, the direct results of which is an alarming rate of packaging waste. With the aim of seeking solutions ... -
Last-mile delivery optimization for agricultural product in B2B e-commerce industry: A case study in Vietnam
(2023)The B2B E-commerce nowadays holds a vital role in different fields, and agricultural one is not an exception. With the use of e-commerce in this sector, farmers and retailers can connected more easily and efficiently. ... -
Applying ant colony optimization in route optimization for last-mile delivery of rural e-commerce: A case study Lazada company
(2023)The growth of e-commerce has increased the need for shopping in both urban and rural locations, necessitating a wider reach and coverage for the e-logistics industry. In order to survive in the harsh new rural market, ... -
Adaptive large neighborhood search for harvest scheduling: A case study of rice inbound logistics in An Giang province
(2023)This paper aims to present a research-based model of scheduling harvesting problems. It states that this sector has made significant improvements in recent years in figuring out how to optimize the cost in the supply ... -
Picking routing policies to improve warehouse efficiency: A case study at Nestle south distribution center
(2023)Order picking is widely recognized as one of the most challenging and resource intensive activities in warehouses, impacting time, labor, and costs. In light of this, this research focuses on improving the efficiency of ... -
Forecasting weekly demand of coffee - based categories for a coffee chain in Ho Chi Minh city: A case study
(2023)This study proposes a procedure for selecting forecasting models to support a coffee store chain in choosing suitable techniques for their business. It compares traditional and modern statistical methods for predicting ... -
A multi-stage hybrid model in risk management for supplier selection and order allocation- case of AB Inbev Vietnam
(2023-09)In manufacturing, Procurement offers the inputs needed for a business to run day-to-day operations and exists as one of many branches within the supply chain structure. Every purchase is infused with numerous risks, ... -
The vehicle routing problem in home health care services: A case study in Ho Chi Minh city
(2023)Home Health Care (HHC) services include the delivery to customers for many kind of tasks such as medical, nursing or homecare directly to their home. The Vehicle Routing Problem in Home Health Care Services (VRPHHCS) ... -
Application of vehicle routing problem with time windows on optimizing distribution network: A case study of gemadept corporation
(2024)This paper proposes a genetic algorithm approach to the vehicle routing problem with time windows (VRPTW). The VRPTW is a well-known combinatorial optimization problem in which a fleet of vehicles must serve a set of ... -
School bus scheduling problem: A case study of the Canadian Internationl school in Ho Chi Minh city
(2023-08)The school bus scheducling problem has been research for a half of a decade. However, in Vietnam, this problem still has not reieved adequate attention. The aim of the thesis was to solve a school bus routing system. ... -
Vehicle routing problem for express devivery in online-to-offline retail: A case study of cosmetic industry
(2023)The rise of innovative technologies that enable seamless information gathering and efficient communication between customers and online-to-offline (O2O) retailers has brought about new complexities in devising strategies ... -
Machine learning and optimization technique application in demand planning and supply planning: A case of Nestle -Ice cream products
(2023)One of the most important processes that determines the entire success of the supply chain is Supply Chain Planning, which includes demand planning and supply planning. Specifically, the new century of big data gathered ... -
Algorithms and models for schedule design and bus/car fleet assignment to build large - scale continuous freight routes
(2023)This research presents the results of our research project on optimizing the utilization of intercity bus trips by combining them into a single transportation route. The project focuses on efficiently utilizing available ...