Browsing Bachelor Thesis - Industrial and Systems Engineering by Title
Now showing items 427-446 of 625
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Optimizing Transportation Cost By Applying Vehicle Routing With Outsource: A Case Study Of Ecv
(2023)Transportation cost optimization is always a difficult problem to think about. Transportation plays an important role in the process of getting products from producer to consumer. Therefore, facing the difficult situation ... -
Optimizing Truss Structure - A Comparision Between Grey Wolf Optimizer (GWO) And Flower Pollination Algorithm (FPA)
(International University - HCMC, 2018)The main focus of this thesis is optimizing structures (we consider a truss structure in this thesis) using topology optimization method (minimizing the weight, displacement and stress specified by the American Institute ... -
Optimizing truss structure using grey wolf algorithm and finite element method
(International University - HCMC, 2017)This study analyzes truss structure to minimize its weight subject to the stress and displacement requirements specified by American Institute of Steel Construction (AISC). The paper proposed in the thesis called Grey Wolf ... -
Order Allocation In Multiple Supplier Environment: A Case Study Of A Plastic Company
(2020)This study focuses on debate on an area of emerging research: evaluating multiple sourcing strategy to determine which strategy brings more benefits to their business. The effects of supplier selection and order allocation ... -
Order Allocation Problem With Quantity Discount And Production Scheduling In Manufacturing
(2022)Suppliers play a important role to make certain that goods are supplied continuously to the market for businesses. Businesses might not ensure a stable goods and products supply for the customers if they cannot keep a ... -
Order Picking In A-3-D Warehouse Using Clustering Approach : A Case Study Of Gemadept
(2022)In warehouse operations, it is believed that order picking is a time-consuming, labor intensive and expensive activity resulting in possible loss of profit for the company. As a result, efficiency in picking process has ... -
Order Picking In Multi -Storage Location In Warehouse: A Case Study Of FPT Retail
(2023-03)Nowadays, the demand for item procurement is quickly expanding, posing obstacles and difficulties for the supply chain in general and the warehouse in particular. Warehouses must be adaptable in order to satisfy the ... -
Order picking optimization with multiple pickers and and due dates
(2022)The world has encountered the terrible impact of Covid 19 pandemic, including the global economy and industry. Many organizations try to improve their system to reduce the cost and increase efficiency, especially in ... -
Order picking problem - A case study in YCH company
(2019)In warehouse operation, orders with many product varieties in small quantities are often received and requested for time delivery. However, the order picking process will be very wasteful and costly if pickers handle those ... -
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 ... -
Orders Group Problem In E-Fulfillment With Machine Learning: A Case Study At Nhat Tin Logistics
(2022)Online shopping is significantly increasing at a high rate, especially after the SARS COVID pandemic. Nhat Tin Logistics has a fulfillment warehouse located in District 12, which is, processed to fulfill the goods to ... -
Parallel machines scheduling problem with sequence dependent set up times: A case of Bosch Vietnam
(International University - HCMC, 2019)Unrelated parallel machines with sequence-dependent set-up time is studied in this thesis with the case of Bosch Vietnam. The aim of this study is to improve the effectiveness of production system by shortening the maximum ... -
Particle Swarm Optimization Approach For Vehicle Routing Problem
(2020-08)Multi-depot multi-trip Capacitated Vehicle Routing Problem with Time Window (Multi D&T CVRPTW is the reality problem occurs when the e-commerce trade with last-mie delivery is becoming more and more popular. The purpose ... -
Performance of grey wolf optimization and particle swarm optimization combined with kmeans in capacitated vehicle routing problem
(International University - HCMC, 2019)The Capacitated Vehicle Routing Problem (CVRP) is a combinatorial optimization problem. Because the time and complexity in finding solution grow exponentially with the size in each problem, CVRP is also identified as a ... -
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 resourceintensive activities in warehouses, impacting time, labor, and costs. In light of this, this research focuses on improving the efficiency of ... -
Planning Process In Warehouse Operation
(2023)Most software companies try to satisfy client expectations with high-quality products while keeping operating costs to a minimum. Higher quality standards are needed now more than ever, particularly when a major organization ... -
Porfolio Selection In The Crytocurrency Market With Genetic Algorithm
(2021)Trading has always been an essential trait of humans. This thesis studies a portfolio selection problem in which an investor may find a reasonable trade-off between return and risk by combining a variety of risky assets ... -
Prediction Of Customer Churn Risk In E-Commerce Retail Using Machine Learning
(2023)Identifying customer churn plays a vital role in the operation and expansion of any business. By identifying non-returning consumers, a company can learn why customers leave and can then tailor their marketing campaigns ... -
Predictive Maintenance In Predicting Machine Failures At Unilever: A Log-Based Approach Using Machine Learning Algorithm
(2023)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 a ... -
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 ...