Browsing Bachelor Thesis - Industrial and Systems Engineering by Title
Now showing items 91-110 of 625
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Applying Combinatorial Particle Swarm Optimization In Nurse Rostering Problem
(2020-08)As the global pandemic named “coronavirus” brings the world to a collective gloom, each country’s national health service workers move heaven and earth, daily, to save lives. However, as the positive cases keeps skyrocketing, ... -
Applying compromise programing for multi-objective aggregate production planning: A case study in NutiFood Company
(International University - HCMC, 2016)The Aggregate Production Plan (APP) is a schedule of the association's general operations over a planning periods to fulfill request while maximizing profit. Building an APP model requires numerous data, for example, the ... -
Applying data mining for manufacturing cycle time prediction : A case study Scancom Vietnam Limited Company
(International University - HCMC, 2015)Late delivery is considered as a big problem in Scancom Vietnam Limited Company. One of reasons effect on late delivery is that the production planning and the actual production are not consistent. The aim’s research is ... -
Applying Dbscan algorithm for solving capacitated vehicle routing
(International University - HCMC, 2019)The capacitated vehicle routing problem (CVRP) is one of the most challenging problems in the optimization of distribution which is used to design least cost delivery routes for a fleet of vehicles from depot to service a ... -
Applying dominance based rough set approach and multiple criteria decision making methods for stock evaluation based on fundamental analysis: A case of Viet Nam stock exchange
(International University - HCMC, 2019)In the investment industry, the vast majority of issue is the stock selection problem, which is totally solved by analyzing financial ratios. However, it is difficult to obtain the evaluating of complicated and imprecise ... -
Applying ergonomics for improving worker's motion: A case study of Hung Vuong Company
(International University HCMC, Vietnam, 2014)This study aimed to find a way minimizes risk of injuries or illness of workers when working by hands. This research is conducted at Hung Vuong Company. The problem of company is solving difficult of workers, which they ... -
Applying ergonomics for improving worker's motion: Case study of Siemens Vietnam
(International University - HCMC, 2015)The thesis’ purpose is to reduce the injures/illness of the workers in an assembly line in incomplete-automatic working environment. This thesis is applying for Siemens Automation System and its workers. The ergonomics ... -
Applying ergonomics on worker's posture: A case study of Thien Phu glass company
(2022)Musculoskeletal Disorders (MSDs) have been a substantial concern in production for many decades which challenge the researcher and manager to study and make changes in order to improve current workplace to prevent any ... -
Applying Feature Selection To Enhance Neural Network Performance: A Case Study Of Mango Leaves' Diseases Recognition
(2020-08)Today, Deep Learning (DL) has transformed many major industries. Agriculture is one field where DL scientists and researchers are working with farmers to help them utilize the shrinking resources due to urbanization. ... -
Applying Game Theory In Discount Pricing Strategy For A Family Of Items
(2021)Quantity discount strategy is an efficient method for business development in large companies all over the wolrd, especially those in fast moving consumer goods. The empirical policy is once applied properly, not only ... -
Applying game theory in vehicle routing problem with returns
(International University - HCMC, 2020)Vehicle Routing Problem with Spontaneously Picking Up and Delivering (VRPSPD) has become the serious consideration in the real world, especially in the e-commmerce trade for last-mile delivery products to customers effectively ... -
Applying genetic algorithm for perishable goods delivery and scheduling with time window
(International University - HCMC, 2017)In recent year, the customs’ requirements are increasing, so public services have to improve their logistics chain to satisfy their custom’ demand such as the quality, quantity of goods and also delivery times. That will ... -
Applying Genetic Algorithm For Solving Multi-Depot Vehicle Routing Problem With Time Windows
(2023)The optimization of the multi-depot Vehicle Routing Problem (VRP) with time windows is a complex issue within the logistics and transportation field that traditional optimization methods struggle to solve due to its ... -
Applying Genetic Algorithm In A Joint Decision Problem Of Inventory Optimization And Order Allocation In An Omnichannel Retailer
(2023)Since e-commerce has become a popular trend for businesses to reach more customers, many retailers are gradually evolving into omnichannel retailers which can merge offline and online and offer a variety of shopping ... -
Applying Grey Wolf Optimization In Solving The Nurse Scheduling Problem
(2020-08)The Nurse Scheduling Problem (NSP) has been a widely studied research topic in the last several decades. It is defined as the operation research of allocating shifts to available nurse over a planning period, typically ... -
Applying Harris Harris Hawks Optimization In Economic Load Dispatch Problem
(2020-08)This article presents a new approach to solve economic load dispatch (ELD) problems with smooth and non-smooth cost functions, using the proposed Harris Hawks (HHO) optimization technique. Real-world ELD problems have ... -
Applying K-Means Clustering Model In Multi Destination Delivery Service: A Delivery Case Study At A Florist's
(2020)Logistics in Vietnam is known as a rapid developing industry that appeared in almost any production and supply chain activities. This sector contributes significantly to the economy of the country. Moreover, transportation ... -
Applying Lean Six Sigma To Improve The Delivery - Receipt Process At Binh Duong Fresh Food Distribution Center - A Case Of Saigon Co.Op
(2023)By presenting research and implementing Lean - Six Sigma into the warehouse's operations, this study aims to enhance the warehouse processes involved in the supply and receiving of fresh food at the Saigon Co.op Fresh ... -
Applying Machine Learning For Demand Forecasting And Linear Programming For Aggregate Production Planning
(2022)Demand forecasting is, without a doubt, the most crucial aspect of any company's supply chain. Especially, the new century of big data gathered from complicated customer behaviors, as well as severe competition among ... -
Applying machine learning in demand forecasting: A case study of suntory pepsico's project with YCH protrade Vietnam
(2022)Demand forecasting is an important activity that is necessary for the Sales and Operation Planning (S&OP), which is a popular integrated business management technique utilized by many organizations. A case study of project ...