production planning and scheduling are the most important issues of the production industries, which have a considerable influence on the productivity of the production systems. although, production planning and scheduling are in two different medium-term and short-term decision making levels, there are a very close relationship between them. ignoring this important feature in production planni...

Bu çal??mada bina in?aat? ile ilgili i? paketlerinin metraj?, adam.saat ve malzeme gereksinimi hesaplamalar?, aktivite süresi ekip say?lar?n?n belirlenmesi çizelgelemesinin olu?turulmas? i?lem ad?mlar? yap?n?n geometrisi, imalatlar temin edilebilen kaynaklar ili?kilendirilip formülle?tirilmi?tir. Hesaplanan metraj de?erleri Türkiye Cumhuriyeti Çevre, ?ehircilik ?klim De?i?ikli?i Bakanl???’n?n h...

Over the past few years, attention is shining in field of deep learning, especially domain natural language processing (NLP). Its impressive effectiveness, along with ubiquitous implementations, have aroused our interest efficiently scheduling data-flow corresponding computations onto architectures many computing units to realize parallel computing. In this paper, based on manually analyzing op...

This paper considers a two-stage assembly flow shop scheduling problem. When all parts of each product are completed in the first stage, they are assembled into a final product on an assembly machine in the second stage. In order to reduce the delivery cost, completed products can be held until completion of some other products to be delivered in a same batch. The proposed problem addresses sch...

In this thesis, we study the downlink multiuser scheduling and power allocation problem for systems with simultaneous wireless information and power transfer (SWIPT). In the first part of the thesis, we focus on multiuser scheduling. We design optimal scheduling algorithms that maximize the long-term average system throughput under different fairness requirements, such as proportional fairness ...

Problem statement: We present development of neural network based fuzzy inference system for scheduling of parallel Jobs with the help of a real life workload data. The performance evaluation of a parallel system mainly depends on how the processes are co scheduled? Various co scheduling techniques available are First Come First Served, Gang Scheduling, Flexible Co Scheduling and Agile Algorith...

In this paper we present a new framework for studying parallel query optimization. We first note that scheduling and optimization must go together in a parallel environment. We introduce the concept of response time envelopes which integrates scheduling and optimization. We show that it can be used effectively to develop parallel query optimization algorithms which have same order of complexity...

Cloud computing is a type of parallel and distributed system consisting of a collection of interconnected and virtual computers. With the increasing demand and benefits of cloud computing infrastructure, different computing can be performed on cloud environment. One of the fundamental issues in this environment is related to task scheduling. Cloud task scheduling is an NP-hard optimization prob...

Large-scale projects often have several activities which are performed by subcontractors with limited multi-resources. Project scheduling with limited resources is one of the most famous problems in the research operations and optimization cases. The resource-constraint project scheduling problem (RCPSP) is a NP-hard problem in which the activities of a project must be scheduled to reduce the p...