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Now showing items 101-110 of 118
Matheuristic approach for an integrated quay crane, yard truck and yard crane scheduling problems
(2022)
A highly significant issue at container terminals, the integrated Quay Crane, Yard Truck, and
Yard Crane scheduling problem deals with optimizing and synchronizing all substantial activities
and scheduling port equipment. ...
Determining an optimal route for order picking in narrow aisles with deadlines and congestion factors
(2022)
The order picking process typically contributes to the success of any warehouse
management. In any warehouse operation, order picking contributes more than 60% of
labor activities and 50% of the direct labor costs. Various ...
Apply six sigma method to improve service quality in road transportation: A case study of technology logistics company ecotruck
(2022)
Nowadays, transportation plays an important to the supply chain over the world. Without
transportation, the global supply chain will break down and a lack of supply to meet demand
which increase. Taking advantage of that ...
Simulation-Based Inventory Sharing Policy Optimization: A Case Study In Cosmetics Industry
(2022)
When multiple retailers hold inventory to satisfy random demand, retailer inventory-sharing
strategies can potentially reduce the supply-demand mismatch and increase overall supply
chain performance. This thesis research ...
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 ...
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 ...
A hybrid improved case-based reasoning approach and metaheuristics for cost estimation
(2022)
This study developed a cost predicting model based on a combination of Case Based
Reasoning (CBR) and Genetic Algorithm (GA) to optimize the impact of attributes that
forecast the installation cost for a new production ...
Application of hybrid genetic bees algorithm in solving just-in-time job shop scheduling problem
(2022)
Just-in-Time Job Shop Scheduling (JIT JSS) is one of the job shop scheduling
problems, in which every cost of operations is taken into consideration. Distinguishing
this kind of problem of scheduling from others (makespan ...
Application Of Machine Learning And Metaheuristic On Demand And Supply Planning Subject To Risks
(2022)
One of the most important steps that determines the overall performance of the supply
chain is Planning, which includes demand planning and supply planning. In particular,
the new century's big data, which is derived ...
Modeling and solving for order picking and vehicle routing problem in e-commerce: A case of online retail system in Vietnam
(2022)
Perishable products, the management of this temperature sensitive supply chain has its own feature
and logistics challenge compared to the non-perishable one and other kinds of supply chains. Until
now, the technique and ...