A branch and bound algorithm for the job-shop scheduling problem
Discrete Applied Mathematics - Special volume: viewpoints on optimization
Fuzzy arithmetic with requisite constraints
Fuzzy Sets and Systems - Special issue: fuzzy arithmetic
Fuzzy work-in-process inventory control of unreliable manufacturing systems
Information Sciences—Applications: An International Journal
Multiple-objective scheduling and real-time dispatching for the semiconductor manufacturing system
Computers and Operations Research
Scheduling: Theory, Algorithms, and Systems
Scheduling: Theory, Algorithms, and Systems
Intelligent distributed and supervised flow control methodology for production systems
Engineering Applications of Artificial Intelligence
On stability of fuzzy systems expressed by fuzzy rules with singleton consequents
IEEE Transactions on Fuzzy Systems
An educational tool for fuzzy control
IEEE Transactions on Fuzzy Systems
MIN and MAX Operators for Fuzzy Intervals and Their Potential Use in Aggregation Operators
IEEE Transactions on Fuzzy Systems
Brief Paper: Real-time control of manufacturing cells using dynamic neural networks
Automatica (Journal of IFAC)
Simulation-based control for green transportation with high delivery service
Proceedings of the Winter Simulation Conference
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This paper considers the modelling and simulation of a hierarchical production-flow control system. It uses a continuous control approach for machine capacity allocation at the design level and real time scheduling at the shop-floor level. Particularly, at the design level, the control of machine throughput has been addressed by a set of distributed and supervised fuzzy controllers. The objective is to adjust the machine's production rates in such a way that satisfies the demand while maintaining the overall performances within acceptable limits. At the shop-floor level, the problem of scheduling of jobs is considered. In this case, the priority of jobs (actual dispatching times) is determined from the continuous production rates through a discretisation procedure. A case study demonstrates the efficiency of the proposed methodology through a simulation case study.