In this paper, we propose a methodology integrating discrete event simulation based on the fuzzy set theory to solve the scheduling planning problem for construction operations in a new semiconductor building. Unlike traditional construction scheduling approaches that only cope with quantitative data, fuzzy set-based methods provide proper instruments for expressing planners’ linguistic terms t...

An optimal scheduling approach has been developed for coordinating product delivery activities using fuzzy mathematics. In this approach, optimal delivery scheduling is carried out at three different levels, for situations involving: (1) one driver and one load, (2) one driver and multiple loads, and (3) multiple drivers and multiple loads. Fuzzy-based clustering methods are employed to classif...

In a real time system contained various type of scheduling algorithms. They are used for determine which processes should be executed by the CPU when there are different processes to be executed. Neuro fuzzy logic approaches are very effective for scheduling real time task. This paper presents a review on scheduling algorithm of real time task. Then, discuss the limitations of EDF algorithm and...

Quality of Service (QoS) in the Internet depends on queuing and sophisticated scheduling in routers. In this paper, we address the issue of managing traffic flows with different priorities. In our reference model, incoming packets are first classified based on their priority, placed into different queues with different capacities, and then multiplexed onto one router link. The fuzzy nature of t...

System virtualization provides low-cost, flexible and powerful executing environment for virtualized data centers, which plays an important role in the infrastructure of Cloud computing. However, the virtualization also brings some challenges, particularly to the resource management and task scheduling. This paper proposes an efficient dynamic task scheduling scheme for virtualized data centers...

Distributed real-time applications require efficient scheduling to improve processor and network utilization, and to avoid missing task deadlines. Current scheduling algorithms typically do not utilize applicationlevel information nor do they adapt to changes in application state. We describe a system in which users define dynamic, application-specific, scheduling policies using a fuzzy-logic a...

Scheduling is an enduring process where the existence of real time information frequently forces the review and modification of pre-established schedules. The real world is complex and complexity generally arises from uncertainty. From this prospective the concept of fuzziness is introduced in the field of scheduling. The present paper pertains to a bi-criterion in n-jobs, three machines fl...

In the past, we demonstrated how fuzzy concepts can easily be used in the Johnson algorithm for managing uncertain scheduling on two-machine flow shops. This paper extends these concepts to fuzzy flow shops with more than two machines. A new fuzzy heuristic flow-shop scheduling algorithm (the fuzzy Gupta algorithm) is then designed since optimal solutions seem unnecessary for uncertain environm...

Abstract There are more problems of network data transmission in multi-loop NCS than in single loop NCS. It maybe lead to that one or more of closed-loop systems become unstable in multi-loop NCS. In order to solve this problem, a novel algorithm of fuzzy dynamic scheduling for multi-loop NCS is put forward in this paper. Firstly, the requirement of the sampling period of NCS is discussed. The ...