Data Driven Decision-Making for Complex Production Systems

• Other Authors: Yang, Zaoli (Editor), Li, Yuchen (Editor), Kucukkoc, Ibrahim (Editor)
• Format: Electronic Book Chapter
• Language: English
• Published: Basel MDPI - Multidisciplinary Digital Publishing Institute 2023
• Subjects: Business strategy; Management of specific areas; 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
• Online Access: DOAB: download the publication; DOAB: description of the publication

Summary

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.

Physical Description

1 electronic resource (328 p.)

ISBN

books978-3-0365-9628-0
9783036596297
9783036596280

Access

Open Access