scispace - formally typeset
Search or ask a question
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
More filters
Journal ArticleDOI
TL;DR: To further improve the performance of the algorithm, swap-based local search methods and acceleration algorithms for swap neighborhoods are proposed and the proposed AIG algorithm is the best-performing one among all the algorithms in comparison.
Abstract: Distributed flow shop scheduling is a very interesting research topic. This paper studies the distributed permutation flow shop scheduling problem with mixed no-idle constraints, which have important applications in practice. The optimization goal is to minimize total flowtime. A mixed-integer linear programming model is presented and an Adaptive Iterated Greedy (AIG) algorithm with the sample length changing according to the search process is designed. A restart strategy is also introduced to escape from local optima. Additionally, to further improve the performance of the algorithm, swap-based local search methods and acceleration algorithms for swap neighborhoods are proposed. Referenced Local Search (RLS), which shows better performance in solving scheduling problems, is also used in our algorithm. In the destruction stage, the job to be removed is selected according to the degree of influence on the total flowtime. In the initialization and construction phase, when a job is inserted, the jobs before and after the insertion position are removed and re-inserted into a better position to improve the algorithm search performance. A detailed design experiment is carried out to determine the best parameter configuration. Finally, large-scale experiments show that the proposed AIG algorithm is the best-performing one among all the algorithms in comparison.

29 citations

Journal ArticleDOI
TL;DR: In this article, a decision tool under uncertain and risky conditions for achieving sustainability in electronic waste (e-waste) recycling in circular economy is developed, and the relationship between loss aversion, reference point, framing and two selves effect, and sustainability dimensions is presented with a sustainability risk assessment point of view.
Abstract: E-waste is a hazardous concept for human health, environment and businesses, and therefore, risk assessment is essential to eliminate or reduce the negative effects of e-waste in a circular economy. Decision-making plays an important role during the risk assessment in e-waste recycling. This study aims to develop a decision tool under uncertain and risky conditions for achieving sustainability in electronic waste (e-waste) recycling in circular economy. Prospect theory and its aspects are integrated with the sustainability risk assessment in e-waste recycling. In order to evaluate the irrationality and risk attitudes of decision makers in a risky and uncertain environment, the prospect theory-based TODIM (acronym in Portuguese for interactive and multicriteria decision-making, i.e. Tomada de Decisao Interativa Multicriterio) method for a previous computer disassembly problem is used. Using prospect theory, the relationship between loss aversion, reference point, framing and two selves effect, and sustainability dimensions is presented with a sustainability risk assessment point of view. Further, tasks of computer disassembly processes are prioritized by considering risk factors. The results showed that random access memory modules, motherboard and power supply are the highest priority risks based on the evaluation of listed twelve sustainability risks. In this study, it is suggested that prospect theory is suitable for decisions under risk and uncertainty, and it is applicable to integrate sustainability risk assessment and prospect theory in order to fulfil the gap of knowledge. Relationship between prospect theory and sustainability risk assessment.

29 citations

Journal ArticleDOI
TL;DR: The computational results demonstrate that the proposed iterated greedy (IG) algorithm has generated substantially better solutions than the existing algorithms in solving the problem under consideration.

29 citations

Journal ArticleDOI
TL;DR: In this paper, a green industrial service buying approach for the industrial customers of logistics centers is proposed, which combines green purchasing literature with previousely developed environmental performance indicators (EPIs).
Abstract: The rapidly globalizing world trade requires longer supply chains with higher attention on the environmental effects of logistics activities. Latest international conventions related with environmental regulations reinforce governments and corporations to adhere to environmental protection precautions. An effort to decrease the negative environmental effects of logistics activity is the geographical concentration of logistics companies which are called logistics centers. This study aims to provide a green industrial service buying approach for the industrial customers of logistics centers. The study combines green purchasing literature with previousely developed environmental performance indicators (EPIs) and develops a green industrial buying model for logistics centers. The model provides a framework for potential residents of a logistics center and supports their industrial buying processes. The model also serves as an input for green industrial service design in a logistics center.

29 citations

Journal ArticleDOI
TL;DR: In this paper, the authors explored the linkages among Intellectual Capital (IC), Corporate Governance (CG) and Corporate Social Responsibility (CSR) through direct and indirect empirical inquiry.
Abstract: Purpose – The purpose of present study is to explore the linkages among Intellectual Capital (IC), Corporate Governance (CG) and Corporate Social Responsibility (CSR) through direct and indirect empirical inquiry. Design/methodology/approach – The main setting is designed for exploring the relationship among IC, CG and CSR. Therefore, these three constructs are examined directly in which their statistical relation is evaluated among themselves and indirectly in which their possible effects are examined onto firms’ unsystematic factors such as cash flow, short-term solvency, long-term solvency, profitability and asset utilization. Findings – Empirical investigation is conducted on manufacturing firms listed in Istanbul Stock Exchange from 2007 to 2011. Empirical results do support a positive relationship among these important constructs. Research limitations/implications – The empirical research is carried out in manufacturing firms only. Originality/value – IC, CG and CSR are three demanding research area...

29 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
Network Information
Related Institutions (5)
Middle East Technical University
29.4K papers, 639.3K citations

87% related

Istanbul Technical University
25K papers, 518.2K citations

86% related

National Technical University of Athens
31.2K papers, 723.5K citations

85% related

City University of Hong Kong
60.1K papers, 1.7M citations

84% related

Aalto University
32.6K papers, 829.6K citations

84% related

Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202321
202250
2021187
2020189
2019158
2018114