Data Driven Decision-Making for Complex Production Systems

doi:10.3390/books978-3-0365-9628-0

Download Url(s)

https://mdpi.com/books/pdfview/book/8461

Contributor(s)

Yang, Zaoli (editor)

Li, Yuchen (editor)

Kucukkoc, Ibrahim (editor)

Language

English

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Abstract

The complexity of production processes is on the rise due to evolving technology and changing lifestyles. This complexity can stem from factors within the production system or be influenced by characteristics or events external to the system. This reprint aims to conduct rigorous research focused on the application of data-driven decision-making algorithms to address diverse challenges within complex production systems.

URI

https://directory.doabooks.org/handle/20.500.12854/132425

Keywords

global value chain; inter-country input-output table; the Belt and Road Initiative; Collaborative Opportunity Index; Collaborative Threat Index; asynchronous dynamic policy; energy-efficient data center; Markov decision process; RG-factorization; sensitivity-based optimization; uncertainty modeling; emergency logistics; location-allocation; sustainability; uncertainty theory; dual circulation; port logistics; Ningbo-Zhoushan Port; entropy weight; COPRAS; digital platforms; regulation; antitrust; game theory; algorithm; predictive maintenance; multistage machine; sensorisation; decision-making; mean time to failure; system; robotic assembly line balancing; energy consumption; cross-station task; mixed integer liner programming; simulated annealing; objective weights of criteria; MPSI method; multi-criteria decision-making method; MARA method; support system selection; underground mining; multi-source fuzzy data; normalization method; membership function; Gaussian-shaped fuzzy inference; complex systems; graph partition; graph neural networks; ordinary differential equation; dynamics; manufacturing scenario; inter-firm social network; ambidexterity and green innovation capability; simulation; environmental regulation; data driven decision-making; strategic interaction; spatial spillover; Fermatean fuzzy set; BWM; green supplier selection; power Heronian mean; EDAS; industrial production system; flow structure; synergy theory; collaborative management; system dynamics