A review on role of artificial intelligence in food processing and manufacturing industry

E Ramirez-Asis, J Vilchez-Carcamo, CM Thakar… - Materials Today …, 2022 - Elsevier
Food is essential for humans. It is critical to decrease food waste, optimize the supply chain,
and enhance food logistics, food delivery, and food safety. To a large extent, artificial …

[HTML][HTML] Neural agent-based production planning and control: An architectural review

M Panzer, B Bender, N Gronau - Journal of Manufacturing Systems, 2022 - Elsevier
Nowadays, production planning and control must cope with mass customization, increased
fluctuations in demand, and high competition pressures. Despite prevailing market risks …

Automation and manufacturing of smart materials in Additive Manufacturing technologies using Internet of Things towards the adoption of Industry 4.0

R Ashima, A Haleem, S Bahl, M Javaid… - Materials Today …, 2021 - Elsevier
Mass customization and personalization are the significant implications of Industry 4.0. Even
though additive manufacturing (AM) technologies possess the capability to personalize final …

An improved deep reinforcement learning-based scheduling approach for dynamic task scheduling in cloud manufacturing

X Wang, L Zhang, Y Liu, Y Laili - International Journal of …, 2024 - Taylor & Francis
Dynamic task scheduling problem in cloud manufacturing (CMfg) is always challenging
because of changing manufacturing requirements and services. To make instant decisions …

An overview on the use of operations research in additive manufacturing

JM Framinan, P Perez-Gonzalez… - Annals of Operations …, 2023 - Springer
Additive Manufacturing (AM) is a disruptive production technology that challenges many well-
established, conventional practices in Operations and Supply Chain Management …

[HTML][HTML] Review of machine learning applications in additive manufacturing

S Inayathullah, R Buddala - Results in Engineering, 2024 - Elsevier
The necessity to produce intricate components results in considerable progress in
manufacturing methods. Additive manufacturing (AM) is a disruptive technology that allows …

[PDF][PDF] DEMAND PREDICTION AND ALLOCATION OPTIMIZATION OF MANUFACTURING RESOURCES.

JL Meng - International Journal of Simulation Modelling (IJSIMM), 2021 - ijsimm.com
Big data analysis, Internet technology, and cloud computing are being integrated to the
allocation of production and manufacturing (PM) resources, promoting the transformation …

Automation of AM via IoT towards implementation of e-logistics in supply chain for industry 4.0

R Ashima, A Haleem, S Bahl, D Nandan… - Recent Advances in …, 2022 - Springer
The primary objective of this paper is to identify how industrial automation of additive
manufacturing technology using Internet of Things (IoT) will leverage the quality of existing …

Blockchain-empowered distributed additive manufacturing-as-a-service: an architectural perspective

SAS Monroy, P Li, Y Fang, KA Loparo - IEEE Network, 2023 - ieeexplore.ieee.org
Additive Manufacturing (AM) is transforming the way that we fabricate, deliver, and consume
a wide range of products and components, including those for consumers, medical devices …

A discrete event simulation method for performance analysis of an additive manufacturing in the dental clinic

AH Kamali, M Moradi, F Goodarzian… - The International Journal …, 2022 - Springer
Abstract Three-dimensional printing (3DP) is an evolutionary solution for making customize
items for all sectors, but it has become more prominent in the healthcare sector. In this field …