This research proposes a preemptive fuzzy goal programming model for multi-objective multi-mode resource constrained project scheduling problem. The objectives of the problem are minimization of the total time and the total cost of the project. Objective in a multi-mode resource-constrained project scheduling problem is often a minimization of makespan. However, both time and cost should be con...

This paper is concerned with scheduling robotic flexible assembly cells (RFACs) using fuzzy logic (FL) technique. A new scheduling rule is developed and evaluated called fuzzy sequencing rule (FSR). A simulation program is used to examine the performance of the existing scheduling rules and the proposed rule with respect to multiple performance measures. Four performance measures considered sim...

quality of service (qos) refers to a set of rules or techniques that help the network administrators use the available network resources optimally to manage the effects of congestion and to treat the applications according to their needs. the differentiated services architecture (diffserv) allows providing quality of service to users. the major diffserv premise is that individual flows with sim...

In this paper we consider the use of fuzzy logic in the scheduling of periodic tasks in soft real-time multiprocessor systems. In real-time systems, tasks have to be performed correctly and timely. Finding minimal schedule in multiprocessor systems with real time constraints is shown to be NP hard. Most researches concerning real-time system scheduling assume scheduling constraint to be precise...

this paper investigates the problem of just-in-time permutation flow shop scheduling with limited buffers and linear job deterioration in an uncertain environment. the fuzzy set theory is applied to describe this situation. a novel mixed-integer nonlinear program is presented to minimize the weighted sum of fuzzy earliness and tardiness penalties. due to the computational complexities, the prop...

appropriate scheduling and sequencing of tasks on machines is one of the basic and significant problems that a shop or a factory manager encounters; this is why in recent decades extensive studies have been done on scheduling issues. one type of scheduling problems is just-in-time (jit) scheduling and in this area, motivated by jit manufacturing, this study investigates a mathematical model for...

In this study, we have done the scheduling of FMS using fuzzy logic approach. It has been applied by many researchers to various manufacturing problems. With the help of fuzzy logic, we can incorporate both numerical and linguistic variables. The advantage of fuzzy logic is that it has the ability to consider multiple criteria and can deal with uncertain or incomplete information. Scheduling of...

This letter proposes the fuzzy logic-based fast gain scheduling(FFGS) controller for regulation problem in nonlinear systems. It utilizes the fuzzy scheduling variable which reeects the derivative information on the original scheduling variable in order to achieve better performance than the existents.

Task scheduling is a main activity in the design of real-time systems (RTS). It assures both functionality and safety of such systems. RTS can be modeled as a set of periodic tasks that must be completed before speci/c deadlines. In this paper, we investigate the fuzzy scheduling models on RTS and the main methodologies that solve these models. Thus, we present general periodic task scheduling ...

Fuzzy gain-scheduling is a special form of model-based fuzzy control that uses linguistic rules and fuzzy reasoning to determine the controller parameter transition policy for a dynamic plant subject to large changes in its operating state. Issues of stability and overall dynamic behavior are resolved using conventional modern control techniques. The design of a fuzzy gain-scheduling controller...