Industrial and Systems Engineering: Recent submissions
Now showing items 1-20 of 979
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Demand Forecasting Of Fast-Moving Consumer Goods Based On Modeling Of Time Series And Deep Learning Methods. Case Study: Convenience Store Chain
(2024)Demand forecasting has played a crucial role in allowing organizations to efficiently meet future customer demands. The main focus of current research is to create models that minimize the margin of error in forecasting. ... -
Order Picking Route Optimization By Vehicle Routing And Simulation: A Case Study Of Viet Dang Dental Medical Equipment Joint Stock Company
(2024)Order picking is an essential component in supply chain management recognized as one of the most demanding activities regarding time, labor, and cost in most warehouses. Order fulfillment is constrained by a predefined ... -
A Multi-Allocation Hub Location Routing Problem (Mahlrp) For Warehouse Site Selection And Related Network Design: A Case Study Of Qui Phuc Company
(2024)This thesis addresses the Multi-Allocation Hub Location Routing Problem (MAHLRP) in the context of warehouse site selection and network design, focusing on Qui Phuc Company as a case study. The study aims to enhance ... -
A Comparative Study Of Metaheuristics For Energy-Saving Job Shop Scheduling Problem With Transportation Times: A Case Study Of Viet Tien Garment Corporation
(2024)The core objective of this paper is finding optimized methods to mitigate the total completion time of machines to performance orders early, leading to directly reducing the energy. This problem is inspired by a real ... -
Optimizing Spare Parts Distribution And Defect Detection By Applying Computer Vision
(2024)The management of spare parts inventory in the automotive industry presents significant challenges and opportunities. This research introduces an advanced operational planning model for a multi-item two-echelon inventory ... -
Joint Replenishment And Inventory Routing Problem: A Case Study Of Nestle Vietnam Supply Chain System
(2024)The Fast-Moving Consumer Goods (FMCG) sector, especially in the context of a global company like Nestle Vietnam, faces significant challenges in optimizing supply chain operations amid fluctuating demands and stringent ... -
Reallocation Resources Of Thewarehouse To Improve Efficiency: A Case Study
(2024)This thesis explores the application of ABC Classification in conjunction with the Vehicle Routing Problem (VRP) to optimize inventory reallocation and routing strategies within a warehouse setting. ABC Classification, ... -
Multimodal Transportation Optimization Cost For Automobile Production Ford In Vietnam
(2024)This dissertation uses multimodal transporting methodologies to discover the objective of cost-optimal transporting within the context of Ford, a Vietnamese automaker. The major goal is to generate a network transporting ... -
Vehicle Routing Problem With Muilti-Sized Locker At Service Point: A Case Study Of Company X In Hcmc
(2024)The advent of e-commerce has revolutionized the retail landscape, offering consumers unparalleled convenience and access to a myriad of products with just a few clicks. However, this exponential surge in online shopping ... -
Location Optimization Of Electric Vehicle Charging Stations: A Case Study Of Vinfast
(2024)This research addresses the critical challenge of optimizing the placement of charging stations for electric vehicles (EVs), particularly focusing on VinFast electric motorbikes in Ho Chi Minh City (HCMC). The study ... -
Demand Forecasting And Cost Optimization: A Case Study Of Vj Engineering Vietnam
(2024)In the competitive context of the current manufacturing industry, customer demand is an uncertain factor. Demand forecasting is extremely important and is a key factor for manufacturing companies because it determines ... -
Optimizing Capacitated Vehicle Routing Problem-A Case Study Of Agriculture Product Company
(2024)In today's competitive business landscape, optimizing transportation costs while ensuring timely and efficient delivery has become paramount for companies with value based delivery policies. This thesis presents a ... -
Multistage Early Fire Detection With Convolutional Neural Networks And Metaheuristic Optimization Algorithm
(2024)Fire is a frequently occurring disaster that causes significant personal injury and extensive property damage. Effective fire detection is crucial for protecting lives and property. Current trends in fire detection ... -
Optimizing Dental Delivery Dynamics: Integrating Open Vrp With Time Windows And Heterogeneous Fleet For Viet Dang Dental
(2024)This detailed investigation proposes an innovative framework aimed at transforming the logistical operations within Vietnam's dental industry, with a focus on Viet Dang Dental. The thesis adeptly integrates Open Vehicle ... -
An Integrated Inventory Classification And Cycle Replenishment Offset Model For E-Fulfillment Optimization – A Case Study Of Kingfood Mart
(2024)Making the supply chain function better and be more robust in evolving corporate environments depends on efficiently managing the e-supply chain and optimizing inventory delivery. Combining the Dynamic Classification ... -
Apply Dynamic Programming For Optimizing Multimodal Transportation: A Case Study Of Dai Dong Tien Company
(2024)Multimodal transport has become a familiar and essential concept in the industrial economy, highlighting the crucial role of transportation in fostering international cooperation and economic development. Consequently, ... -
Improving Efficiency In Production, Maintenance, And Distribution Scheduling By An Enhanced Simheuristic Strategy
(2024)Production schedule is a specific plan to produce business products at a certain time. This is an essential step for businesses to estimate the actual production capacity of the project. Effective scheduling ensures ... -
Simulation-Optimization Based Approach For Designing Resilient Supply Chains Under Disruption Risks
(2024)This study investigated resilience strategies to strengthen supply chains during extended disruptions. By evaluating economic factors like total cost, performance, and customer satisfaction, the research demonstrated ... -
The Two-Echelon For Meat Products Location-Routing Problem With Picking Up And Delivery By Using Constraint Programming: A Case Study Of G-Kitchen
(2024)Using distribution centers as intermediate facilities and meat product pickup and delivery limitations, this work offers a novel extension to the two-echelon site routing issue. Complex, practical supply chain applications ... -
Task Scheduling In Cloud Computing Using Metaheuristic Algorithm
(2024)The increasing adoption of cloud computing has led to a widespread migration of applications to cloud platforms in various fields. One of the major challenges in cloud computing is efficient workflow scheduling, which ...