Browsing Bachelor Thesis - Industrial and Systems Engineering by Title
Now showing items 314-333 of 625
-
Labour Constraint Model Application For Production Planning At Paintshop Of X Company
(International University - HCMC, 2018)In this paper, production planning is applied to solve one of the real issues from workshop at Mercedes-Benz Vietnam (MBV) Limited Plc. In detail, that is manpower problem influenced on output of car, operation cost and ... -
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 ... -
Last-Miles 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. ... -
Lean Six Sigma Approach For Warehouse Operations Optimization: A Case Study In Electronic Industry
(2023-03)This paper is about implementing Lean Six Sigma in a case study in the electronic industry to find out the problem that created a high total cost in recent years. Through DMAIC tools such as SIPOC, Fishbone Diagram, ... -
Leveraging Machine Learning Techniques For Stock Price Prediction Of Selected Vn30 Index Companies And Portfolio Optimization: A Case Study Of Vietnam Stock Market
(2023)Accurately predicting stock market returns is a very difficult undertaking because of how unpredictable and complicated financial stock markets are. However, programmed prediction approaches have become a potential ... -
Leveraging Machine Learning Techniques For Stock Price Prediction Of Selected Vn30 Index Companies And Portfolio Optimization: A Case Study Of Vietnam Stock Market
(2023)Accurately predicting stock market returns is a very difficult undertaking because of how unpredictable and complicated financial stock markets are. However, programmed prediction approaches have become a potential ... -
Line Balance Of Harness Door Process
(2023-02)Competition always happens in any company, in any country. A manufacturing company that wants to gain a competitive advantage must invest heavily in technology and science. There are technologies that are very expensive, ... -
Line balancing in textile production: A case study at Pungkook Company
(International University - HCMC, 2015)In the assembly line balancing problem, there are two main objectives. That is to minimize the number of workstations for a given cycle time (SALBP type-1) and minimize cycle time given a number of workstation (SALBP ... -
Logistics Cost Optimization By Using Multimodal Transport: A Case Study Of New Island Limited Liability Company
(2022)Multimodal transport is no longer an unfamiliar concept or trading method in the industrial economy. It has strongly proved the importance of transportation, which is considered cooperation between many countries and ... -
Logistics retail management in industry: A case study of remy martin VietNam
(International University - HCMC, 2016)Present day, Vietnam is a country that has seen dramatic increases in the living standard of its people and the country integration with the world market. Along with this overall progress and increase in economic activity, ... -
Lot Sizing And Delivery Problem For Retailers
(International University - HCMC, 2018)The vehicle routing between locations of distribution center, hubs and retailer is an important strategic decision in distribution network design, in general as it relates to service level quality, profitability and ... -
Lot-Sizing Problem With Uncertain Demand
(2022)Uncertainty is one of the most major considerations when it comes to planning the manufacturing schedule. When it comes to lot-sizing considering the unpredictability of the situation has become more vital. In this piece ... -
Machine Cells Assignment In Cellular Manufacturing Systems Using Pso Algorthithm
(2021)Cellular manufacturing (CM) is a crucial method to adapt lean manufacturing with an enormous archive of research and studies. One pivotal task of CM is the cell formation problem (CFP) that can determine how successful ... -
Machine Learning And Optimization Technique - Application In Demand Planning & Supply Planning - A Case Of Nestlé – 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 ... -
Machine Learning Application In Movie Recommender Systems: A Case Study Of Movielens Website
(2023)Movie recommendation systems are an important part of modern online movie platforms, assisting users in findning relevant and personalized movie suggestions from large catalogs. Using the MovieLens-1M dataset, this thesis ... -
Machine learning application in order clustering
(2022)In this thesis, there is an implementation of an ecommerce platform case study solved with thousands of orders per day. However, orders are controlled by human and there is no involment of techniques to handle order ... -
Machine Learning Application: Personalized Venues Recommendation Model
(2022)With the development of smart devices and the convenient of social media platform, people are now more open in sharing their photos while traveling. Geo-tagged data from these photos and user’s additional multisource ... -
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 profit ... -
Machine Learning In Credit Card Risk Management: A Case Study From Taiwan Bank
(2023)An essential method for systematically forecasting the unpredictable hazards in banking systems is financial risk prediction. When clients recently pay the limit balance debt, credit card default causes many banks to ... -
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 ...