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Pattern Recognition with Fuzzy Objective Function Algorithms
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Scheduling jobs on parallel machines with setup times and ready times
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A multi-agent system for building project memories to facilitate the design process
Integrated Computer-Aided Engineering
A fundamental tool path planning problem for circles in layered manufacturing
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Scheduling: Theory, Algorithms, and Systems
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Fuzzy Systems Engineering: Toward Human-Centric Computing
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Principles of Sequencing and Scheduling
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A fuzzy logic based efficient energy saving approach for domestic heating systems
Integrated Computer-Aided Engineering
A model-checking-based approach to risk analysis in supply chain consolidations
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Integrated Computer-Aided Engineering
Toward a generalized theory of uncertainty (GTU)--an outline
Information Sciences: an International Journal
A multi-objective genetic local search algorithm and itsapplication to flowshop scheduling
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
Multiobjective programming using uniform design and genetic algorithm
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
Extracting knowledge from fuzzy relational databases with description logic
Integrated Computer-Aided Engineering
Optimising operational costs using Soft Computing techniques
Integrated Computer-Aided Engineering
Improvement of surface roughness models for face milling operations through dimensionality reduction
Integrated Computer-Aided Engineering
Comparison of entity with fuzzy data types in fuzzy object-oriented databases
Integrated Computer-Aided Engineering
Integrated Computer-Aided Engineering
Conceptual design of object-oriented databases for fuzzy engineering information modeling
Integrated Computer-Aided Engineering
Extending engineering data model for web-based fuzzy information modeling
Integrated Computer-Aided Engineering
Querying fuzzy spatiotemporal data using XQuery
Integrated Computer-Aided Engineering
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The percentage of shop fabrication, including pipe spool fabrication, has been increasing on industrial construction projects in the past years. Industrial fabrication has a great impact on construction projects due to the fact that the productivity is higher in a controlled environment than in the field, and therefore time and cost of construction projects are reduced by making use of industrial fabrication. Effective planning and scheduling of industrial fabrication processes is important for the success of construction projects. Dispatching rules are among the common methods for optimizing and improving the performance of complicated systems such as industrial fabrication shops. However, the performance of dispatching rules varies under different operating conditions and scenarios, such as changes in processing times of jobs (e.g., spools, modules), and changes in the system's configurations (e.g., number of stations and resources on the shop floor in pipe spool fabrication). This paper focuses on developing a new framework for optimizing shop scheduling, particularly pipe spool fabrication shop scheduling, which uses the Pareto-optimality concept combined with fuzzy set theory for multi-criteria (i.e., multi-objective) optimization. The proposed framework makes it possible to capture uncertainty of a pipe spool fabrication shop while accounting for linguistic vagueness of the decision makers' preferences, using simulation modeling and fuzzy set theory. The implementation of the proposed framework is discussed using a real case study of a pipe spool fabrication shop.