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Institution

Yaşar University

EducationIzmir, Turkey
About: Yaşar University is a education organization based out in Izmir, Turkey. It is known for research contribution in the topics: Exergy & Job shop scheduling. The organization has 760 authors who have published 1436 publications receiving 20813 citations. The organization is also known as: Yaşar Üniversitesi.


Papers
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Journal ArticleDOI
TL;DR: In this article, a lateral inventory share-based business model for e-grocery networks where online groceries are interconnected in an Internet of Things (IoT) environment is investigated.

31 citations

Journal ArticleDOI
TL;DR: In this article, a single machine scheduling problem with deteriorating processing time of jobs and multiple preventive maintenances which reset deteriorated processing time to the original processing time was studied. And the authors proposed a number of heuristics and design genetic algorithms for the problems.
Abstract: In this paper, we study a single machine scheduling problem with deteriorating processing time of jobs and multiple preventive maintenances which reset deteriorated processing time to the original processing time. In this situation, we consider three kinds of problems whose performance measures are makespan, total completion time, and total weighted completion time. First, we formulate integer programming formulations, and using the formulations, one can find optimal solutions for small problems. Since these problems are known to be NP-hard and the size of real problem is very large, we propose a number of heuristics and design genetic algorithms for the problems. Finally, we conduct some computational experiments to evaluate the performance of the proposed algorithms.

30 citations

Journal ArticleDOI
TL;DR: In this paper, a multistep ahead approach is proposed to forecast construction costs at the conceptual phases of building projects, which relies on the idea of using several cascaded estimations to predict future values.
Abstract: Providing accurate forecasts of construction costs at the conceptual phases of building projects is vital since they form an objective benchmark for the subsequent evaluation of project performance. Previous works adopted a conventional approach in which a restricted set of macro project determinants, which are available in the preplanning phase, was employed towards direct estimation of construction costs. Aiming to reduce the prediction error in conceptual estimates, the current study adopts a novel approach from the domain of forecasting. This multistep ahead (MSA) approach relies on the idea of using several cascaded estimations to predict future values. Accordingly, building element quantities were estimated as the first step. In the second step, estimated quantities were combined with the existing set of inputs to achieve a higher accuracy in construction cost prediction. In order to test the hypotheses of interest, 657 building projects from Germany were analyzed using linear regression and...

30 citations

Journal ArticleDOI
TL;DR: In this article, a novel solar assisted absorption cooling (SAAC) system was proposed and the performance of the whole system along with its main components was assessed through exergy analysis method.

30 citations

Journal ArticleDOI
TL;DR: Output of the study is potentially beneficial in guiding governmental decisions to ensure the sustainability of air quality, and the use of the model, future implications of various air quality factors on environmental sustainability can be assessed.

30 citations


Authors

Showing all 808 results

NameH-indexPapersCitations
Arif Hepbasli6736515612
Quan-Ke Pan6228112128
M. Fatih Tasgetiren281154506
Erinç Yeldan25802218
Kaizhou Gao24912225
Musa H. Asyali20541554
T. Hikmet Karakoc201111359
Ahmet Alkan20761854
Banu Yetkin Ekren19601751
Cuneyt Guzelis181191609
Bekir Karlik18431466
Murat Bengisu18471008
Yigit Kazancoglu171071082
Derya Güngör1630719
Mangey Ram161681149
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202321
202250
2021187
2020189
2019158
2018114