Data Driven Decision-Making for Complex Production Systems
Material type:
TextLanguage: English Publication details: Basel MDPI - Multidisciplinary Digital Publishing Institute 2023Description: 1 online resource (328 p.)Content type: - text
- computer
- online resource
- 9783036596280
- 9783036596297
- books978-3-0365-9628-0
- Business strategy
- Management of specific areas
- algorithm
- ambidexterity and green innovation capability
- antitrust
- asynchronous dynamic policy
- BWM
- collaborative management
- Collaborative Opportunity Index
- Collaborative Threat Index
- complex systems
- COPRAS
- cross-station task
- data driven decision-making
- decision-making
- digital platforms
- dual circulation
- dynamics
- EDAS
- emergency logistics
- energy consumption
- energy-efficient data center
- entropy weight
- environmental regulation
- Fermatean fuzzy set
- flow structure
- game theory
- Gaussian-shaped fuzzy inference
- global value chain
- graph neural networks
- graph partition
- green supplier selection
- industrial production system
- inter-country input-output table
- inter-firm social network
- location-allocation
- manufacturing scenario
- MARA method
- Markov decision process
- mean time to failure
- membership function
- mixed integer liner programming
- MPSI method
- multi-criteria decision-making method
- multi-source fuzzy data
- multistage machine
- Ningbo-Zhoushan Port
- normalization method
- objective weights of criteria
- ordinary differential equation
- port logistics
- power Heronian mean
- predictive maintenance
- regulation
- RG-factorization
- robotic assembly line balancing
- sensitivity-based optimization
- sensorisation
- simulated annealing
- simulation
- spatial spillover
- strategic interaction
- support system selection
- sustainability
- synergy theory
- system
- system dynamics
- the Belt and Road Initiative
- uncertainty modeling
- uncertainty theory
- underground mining
Open Access Unrestricted online access star
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.
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