Review of building energy modeling for control and operation

X Li, J Wen - Renewable and Sustainable Energy Reviews, 2014 - Elsevier
Abstract Buildings consume about 41.1% of primary energy and 74% of the electricity in the
US Better or even optimal building energy control and operation strategies provide great …

Applications of agent-based models for optimization problems: A literature review

M Barbati, G Bruno, A Genovese - Expert Systems with Applications, 2012 - Elsevier
Agent based models (ABM) have been recently applied to solve optimization problems
whose domains present several inter-related components in a distributed and …

H Consensus for Multiagent-Based Supply Chain Systems Under Switching Topology and Uncertain Demands

QK Li, H Lin, X Tan, S Du - IEEE Transactions on Systems, Man …, 2018 - ieeexplore.ieee.org
Supply chain systems are network systems with several subchains each of which consists of
facilities and distribution entities (suppliers, manufacturers, distributors, and retailers), and …

[图书][B] Business intelligence and analytics: systems for decision support

R Sharda, D Delen, E Turban - 2014 - thuvienso.hoasen.edu.vn
This book provides the only comprehensive, up-to-date guide to today's revolutionary
management support system technologies, and showcases how they can be used for better …

Agent-based systems for manufacturing

L Monostori, J Váncza, SRT Kumara - CIRP annals, 2006 - Elsevier
The emerging paradigm of agent-based computation has revolutionized the building of
intelligent and decentralized systems. The new technologies met well the requirements in all …

A multi-agent based framework for supply chain risk management

M Giannakis, M Louis - Journal of Purchasing and Supply Management, 2011 - Elsevier
The high level of complexity of supply chains and the inherent risks that exist in both the
demand and supply of resources–especially in economic downturns–are recognized as …

[图书][B] Intelligent systems for engineers and scientists: a practical guide to artificial intelligence

AA Hopgood - 2021 - taylorfrancis.com
The fourth edition of this bestselling textbook explains the principles of artificial intelligence
(AI) and its practical applications. Using clear and concise language, it provides a solid …

Quantitative models for supply chain planning under uncertainty: a review

D Peidro, J Mula, R Poler, FC Lario - The International Journal of …, 2009 - Springer
Managing uncertainty is a main challenge within supply chain management. Therefore, it is
expected that those supply chain planning methods which do not include uncertainty obtain …

Solving the job-shop scheduling problem in the industry 4.0 era

ME Leusin, EM Frazzon, M Uriona Maldonado, M Kück… - Technologies, 2018 - mdpi.com
Technological developments along with the emergence of Industry 4.0 allow for new
approaches to solve industrial problems, such as the Job-shop Scheduling Problem (JSP) …

A survey of simulation modeling techniques in production planning and control (PPC)

SM Jeon, G Kim - Production Planning & Control, 2016 - Taylor & Francis
The manufacturing sector as a whole has undergone remarkable changes in terms of scale,
complexity and technology over the past decades and this applies across most modern high …