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A multi-swarm PSO approach to large-scale task scheduling in a sustainable supply chain datacenter
Supply chain management is a vital part of ensuring service quality and production
efficiency in industrial applications. With the development of cloud computing and data …
efficiency in industrial applications. With the development of cloud computing and data …
Aggregation and definition of an algebraic framework for fuzzy time series: An application in the supply-demand domain
L Rodriguez-Benitez, J Moreno-Garcia… - International Journal of …, 2022 - Elsevier
This paper proposes a method for aggregating the information contained in sets of Time
Series (TS) into a Fuzzy Time Series (FTS). First, an aggregation technique is defined, which …
Series (TS) into a Fuzzy Time Series (FTS). First, an aggregation technique is defined, which …
Prediksi Produksi Biofarmaka Menggunakan Model Fuzzy Time Series dengan Pendekatan Percentage Change dan Frequency Based Partition
Masa depan biofarmasi semakin cerah. Akibat mahalnya harga obat modern, maka
permintaan tanaman obat meningkat di dalam dan luar negeri. Hal ini karena biofarmaka …
permintaan tanaman obat meningkat di dalam dan luar negeri. Hal ini karena biofarmaka …
Machine learning based predictive analytics for agriculture inventory management system
NP Kumar, S Bhaskar, SP Srinidhi… - 2022 Fourth …, 2022 - ieeexplore.ieee.org
When the globe was hit by the vicious Covid 19 pandemic, multiple industries faced the
virus's wrath and that included the agricultural warehouse industry. Consequently, many …
virus's wrath and that included the agricultural warehouse industry. Consequently, many …
[PDF][PDF] Machine learning based predictive analytics for agricultural inventory management system
G Shirisha, MR Divyamani, A Neha… - … Research Journal of …, 2022 - researchgate.net
An agricultural warehouse management system (AWMS) is a software that helps the
organizations to control and administer the agricultural products from the time they enter the …
organizations to control and administer the agricultural products from the time they enter the …
Order-Picking Forecasting Using a Statistical and Machine Learning Approach
KO Manu-Tawiah - 2024 - search.proquest.com
This research optimizes workforce planning in fulfillment centers using machine-learning
algorithms to forecast order-picking lines. Employing the Theory of Constraints (TOC), the …
algorithms to forecast order-picking lines. Employing the Theory of Constraints (TOC), the …
[PDF][PDF] PREDIKSI PRODUKSI BIOFARMAKA MENGGUNAKAN MODEL FUZZY TIME SERIES DENGAN PENDEKATAN PERCENTAGE CHANGE DAN FREQUENCY …
FT SERIES - researchgate.net
Masa depan biofarmasi semakin cerah. Akibat mahalnya harga obat modern, maka
permintaan tanaman obat meningkat di dalam dan luar negeri. Hal ini karena biofarmaka …
permintaan tanaman obat meningkat di dalam dan luar negeri. Hal ini karena biofarmaka …