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 ...

In many basic scheduling models, jobs’ processing times and due-dates are deterministic. Practically, they are as uncertain variables in some more models. Furthermore, in a real situation of decision making, there exists uncertainty that can not be described only by fuzziness but also randomness. The purpose of this paper is to develop a methodology for parallel machines scheduling problem with...

In this paper, a preemptive multi-objective multi-mode project scheduling model for resource investment problem is proposed. The first objective function is to minimize the completion time of project (makespan);the second objective function is to minimize the cost of using renewable resources. Non-renewable resources are also considered as parameters in this model. The preemption of activities ...

Today, the construction industry is facing intense competition and success in this competition depends on several factors. Project managers try to minimize project time and cost, carbon dioxide emission and at the same time maximizing the quality of project and its plan robustness. In this paper, study construction project scheduling considering a discrete trade-off between time, cost, quality,...

this paper presents a new mathematical model for a bi-objective job shop scheduling problem with sequence-dependent setup times that minimizes the weighted mean completion time and the weighted mean tardiness time. for solving this multi-objective model, we develop a fuzzy multi-objective linear programming (fmolp) model. in this problem, a proposed fmolp method is applied with respect to the o...

The problem of Order Acceptance and Scheduling (OAS) is defined as a joint decision of which orders to accept for processing and how to schedule them. Any linear programming model representing real-world situation involves the parameters defined by the decision maker in an uncertain way or by means of language statement. Fuzzy data can be used to incorporate vagueness in the real-life situation...

An adaptive fuzzy PID controller with gain scheduling is proposed in this paper. The structure of the proposed gain scheduled fuzzy PID (GS FPID) controller consists of both fuzzy PI-like controller and fuzzy PD-like controller. Both of fuzzy PIlike and PD-like controllers are weighted through adaptive gain scheduling, which are also determined by fuzzy logic inference. A modified genetic algor...

This paper presents an analysis of DSR protocol and packet scheduling algorithm to find those that most improve performance in congested network and proposes our algorithm to improve the performance of DSR protocol by using fuzzy logic in mobile ad hoc networks. Packet schedulers in wireless ad hoc networks serve data packets in FIFO order. Because, a scheduling algorithm to schedule the packet...