This paper presents a new mathematical model for a bi-objective job shop scheduling problem with sequencedependent 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 ov...

In the previous chapter, we have made an analytical study regarding the completion time and the due time of each job, in order to find out the satisfaction level of demand maker in a flow shop scheduling. But this chapter differs in the study that here each job has to process on equi potential parallel machines at first stage and then on other succeeding machines in a specified order. Some addi...

We introduce and discuss a notion of fuzzy uniform structure that provides a direct link with the classical theory of uniform spaces. More exactly, for each continuous t-norm we prove that the category of all fuzzy uniform spaces in our sense (and fuzzy uniformly continuous mappings) is isomorphic to the category of uniform spaces (and uniformly continuous mappings) by means of a covariant func...

Currently, object implementations facilitate object group model to organize and manage efficiently the object services. In addition to the complexity of implementing the object groups, researchers also considers the quality of service (QoS) by various means such as replicating the services within the system. Load balancing scheme is necessary for efficient load distributions within the replicas...

Time is the most precious resource for any business simply because no one can bring time back. Therefore, there a huge need to be able control accurately. Also, competitiveness between companies increased value of time. Many investments were allocated build methodologies that help use effectively. Because it became fact speed work accomplishment main factor being considerable competitor. Planni...

In this paper, a new fuzzy logic-based approach to production scheduling in the presence of uncertain disruptions is presented. The approach is applied to a real-life problem of a pottery company where the uncertain disruption considered is glaze shortage. This disruption is defined by two parameters that are specified imprecisely: number of glaze shortage occurrences and glaze delivery time. T...

this paper proposes a hybrid method to find cumulative distribution function (cdf) of completion time of gert-type networks (gtn) which have no loop and have only exclusive-or nodes. proposed method is cre-ated by combining an analytical transformation with gaussian quadrature formula. also the combined crude monte carlo simulation and combined conditional monte carlo simulation are developed a...

fuzzy time series have been developed during the last decade to improve the forecast accuracy. many algorithms have been applied in this approach of forecasting such as high order time invariant fuzzy time series. in this paper, we present a hybrid algorithm to deal with the forecasting problem based on time variant fuzzy time series and particle swarm optimization algorithm, as a highly effici...