Fuzzy goal-programming model with an artificial immune system (AIS) approach for a machine tool selection and operation allocation problem in a flexible manufacturing system

DOI10.1080/00207540500140823zbMath1080.90513OpenAlexW2090671144MaRDI QIDQ5699945

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Publication date: 27 October 2005

Published in: International Journal of Production Research (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/00207540500140823

zbMATH Keywords

artificial immune systemflexible manufacturing systemfuzzy goal-programmingoperation allocationmachine tool selection

Mathematics Subject Classification ID

Multi-objective and goal programming (90C29) Production models (90B30) Fuzzy and other nonstochastic uncertainty mathematical programming (90C70)

Related Items (4)

Incorporating dynamism in traditional machine loading problem: an AI-based optimisation approach ⋮ Fuzzy goal programming model: an overview of the current state-of-the art ⋮ Decision-maker's preferences modelling within the goal-programming model: a new typology ⋮ A hybrid Taguchi-immune approach to optimize an integrated supply chain design problem with multiple shipping

Cites Work

• The optimality of balancing workloads in certain types of flexible manufacturing systems
• An integrated approach to the part selection and machine loading problem in a class of flexible manufacturing systems
• Formulation and Solution of Nonlinear Integer Production Planning Problems for Flexible Manufacturing Systems
• A loading and dispatching problem in a random flexible manufacturing system
• A Branch and Bound Approach for Machine Load Balancing in Flexible Manufacturing Systems
• Optimal Server Allocation in a System of Multi-Server Stations
• On Server Allocation in Multiple Center Manufacturing Systems
• A model of machine-tool selection and operation allocation in FMS
• A heuristic solution approach to the machine loading problem of an FMS and its Petri net model
• On the Optimal Allocation of Servers and Workloads in Closed Queueing Networks

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