Industrial and Systems Engineering: Recent submissions
Now showing items 241-260 of 784
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Vehicle Assignment Problem With Hard Time Window To Optimize The Total Cost A Case Study Of A Trucking Company
(2023)This thesis investigates the problem of vehicle assignment with time window constraints for Duy Phuc Trucking Company in South Vietnam. The company is currently grappling with high outsourcing costs, necessitating a ... -
Application Of Discrete-Event Simulation For Bottleneck Problems In Footwear Manufacturing: A Case Study Of Tbs Group Skechers Factory
(2023)Thai Binh Shoes Group is dealing with the problem of bottlenecks in their Skechers footwear manufacturing line due to overcrowding of materials in the machining sections. This has caused the overall system throughput to ... -
Supplier Evaluation And Demand Forecasting For Optimizing Order Allocation
(2023)This thesis offers a thorough model for supplier selection and order distribution for a sweet potato starch producing business that buys both purple and white sweet potatoes. The Analytic Hierarchy Process (AHP) is used ... -
Demand Forecasting And Inventory Management: A Case Study Of Hiep Thanh Phat Company
(2023)Hiep Thanh Phat Company often forecasts demand by simple linear regression and the company‟s forecasting is not accurate due to the high errors. Therefore, four methods such as Multiple Linear Regression, Decision Tree, ... -
A Two-Phase Approach In Planning And Scheduling In 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 ... -
Application Of Vehicle Routing Problem With Time Windows On Optimizing Distribution Network - A Case Study Of Gemadept Corporation
(2023)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 ... -
An Improved Model Based On Attnsleep For Sleep Stage Classification Using Single-Channel Eeg
(2023)This study advances the field of sleep stage classification by enhancing the performance of a deep learning model, AttnSleep. The methodology involved substituting the standard Multi-resolution Convolutional Neural Network ... -
Simulation Modeling Approach For Worker Assignment Problem In Cross-Docking Warehouse: A Case Study Of Cj Gemadept Logistics
(2023)Cross-docking is one of the best warehousing strategies, but it also faces some challenges in the supply chain. An ever-increasing and varied volume of goods and a multitude of suppliers must be intelligently managed and ... -
Supplier Selection And Order Allocation Decisions Problem: A Case Study Of Urc
(2023)In our study, we first concentrate on the characteristics of the supplier selection problem using a fuzzy-based hybrid approach based on historical information provided by the URC. This study utilizes three methods which ... -
Application Of Agent-Based Approach In Simulation Of Container Ship Stowage Problem
(2023)In order to demonstrate the impact of weight equilibrium stability on the containership, this thesis uses a graphic simulation tool for the issue of containership stowage at marine ports. The issue with container stowage ... -
Optimization Of Integrated Order Batching And Storage Assignment Problem: A Case Study Of Transimex Warehouse
(2023)Warehouse operations have a significant influence on total logistics costs and supply chain network. As a result, they should be optimized in a reasonable way to reduce the detrimental impact they may cause. The goal of ... -
Optimizing Agricultural Materials Trucking Under Capacitated And Time Window Vehicle Routing Problem: A Case Of Loc Troi Group
(2023)The primary subjects covered and explored in this study will be the delivery of agricultural materials by the Loc Troi Group with Vehicle Routing Problem under capacitated and time window constraints. To maximize profits ... -
Demand Forecasting And Supplier Evaluation For Sustainable Order Allocation With Multiple Products
(2023)This study's major goal is to suggest an integrated method for choosing sustainable suppliers and allocating orders. This paper specifically tries to achieve three goals. First, an appropriate analysis is carried out to ... -
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 strategies ... -
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 ... -
A Two Stage Stochastic Approach For Closed Loop Supply Chain Design Under Uncertainty: A Case Study Of Coca Cola Beverages 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 ... -
Application Of Simulation: A Case Study Of Unilever
(2023)In recent years, warehouses have become an irreplaceable part of the supply chain. Numerous studies have shown that optimizing operations depends on having a solid understanding of warehouse management and design principles. ... -
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 ... -
Multi-Objective Optimization Model For Integrated Problem Of Green Closed Loop Supply Chain Network Design
(2023)Indeed, supply chain management is crucial in today's globalised and interdependent business environment. The developed model incorporates numerous variables, such as facility locations, transportation routes, inventory ... -
Deep Learning For Image Classification Of Manufacturing Product
(2023)Product inspection is essential for ensuring the quality and dependability of manufactured goods. Traditional manual examination procedures are timeconsuming, subjective, and error prone. As manufacturing complexity ...