Ranking Of Sustainability Criteria For Industrial Symbiosis Applications Based On Anp

ALAKAS, Haci Mehmet/0000-0002-9874-7588WOS:000599463700004Enterprises have started to establish partnerships both to use their internal resources efficiently and to increase their environmental performance. Partnerships and interoperability of enterprises with different processes enable them to benefit more from their benefits. Moving towards the local and regional economy, these partnerships that increase environmental and own resources have created industrial symbiosis practices. Industrial ecology fields are established in these applications. Both environmental and economic gains can be achieved through the efficient use of resources by enterprises and the minimization of wastes. For the sustainability of these partnerships to be established by enterprises, they need to analyze the measures they take internally. In this study, the concept of industrial symbiosis and the criteria that are effective for the sustainability of these industrial symbiosis are evaluated. Analytical network process method is used. Thus, the industrial symbiosis infrastructures to be established by enterprises have been enabled to move strategically

ENIGMA-anxiety working group : Rationale for and organization of large-scale neuroimaging studies of anxiety disorders

Altres ajuts: Anxiety Disorders Research Network European College of Neuropsychopharmacology; Claude Leon Postdoctoral Fellowship; Deutsche Forschungsgemeinschaft (DFG, German Research Foundation, 44541416-TRR58); EU7th Frame Work Marie Curie Actions International Staff Exchange Scheme grant 'European and South African Research Network in Anxiety Disorders' (EUSARNAD); Geestkracht programme of the Netherlands Organization for Health Research and Development (ZonMw, 10-000-1002); Intramural Research Training Award (IRTA) program within the National Institute of Mental Health under the Intramural Research Program (NIMH-IRP, MH002781); National Institute of Mental Health under the Intramural Research Program (NIMH-IRP, ZIA-MH-002782); SA Medical Research Council; U.S. National Institutes of Health grants (P01 AG026572, P01 AG055367, P41 EB015922, R01 AG060610, R56 AG058854, RF1 AG051710, U54 EB020403).Anxiety disorders are highly prevalent and disabling but seem particularly tractable to investigation with translational neuroscience methodologies. Neuroimaging has informed our understanding of the neurobiology of anxiety disorders, but research has been limited by small sample sizes and low statistical power, as well as heterogenous imaging methodology. The ENIGMA-Anxiety Working Group has brought together researchers from around the world, in a harmonized and coordinated effort to address these challenges and generate more robust and reproducible findings. This paper elaborates on the concepts and methods informing the work of the working group to date, and describes the initial approach of the four subgroups studying generalized anxiety disorder, panic disorder, social anxiety disorder, and specific phobia. At present, the ENIGMA-Anxiety database contains information about more than 100 unique samples, from 16 countries and 59 institutes. Future directions include examining additional imaging modalities, integrating imaging and genetic data, and collaborating with other ENIGMA working groups. The ENIGMA consortium creates synergy at the intersection of global mental health and clinical neuroscience, and the ENIGMA-Anxiety Working Group extends the promise of this approach to neuroimaging research on anxiety disorders

Scheduling and Planning in Service Systems with Goal Programming: Literature Review

WOS: 000451313800051Background: People want to be able to evaluate different kinds of information in a good way. There are various methods that they develop in such situations. Among the optimization methods, the goal programming method is often used when there are multiple objectives that decision makers want to accomplish. Because scheduling and planning problems have multiple objectives that are desired to be achieved, the goal programming method helps the researcher in contradictory situations between these goals. Methods: This study includes, examines, and analyzes recent research on service scheduling and planning. In the literature, service scheduling and planning studies have been examined using goal programming method from past to today. Results: The studies are detailed according to the type of goal programming, according to scheduling types, the purpose used in the studies, and the methods integrated with the goal programming. There are 142 studies in Emerald, Science Direct, Jstor, Springer, Taylor and Francis, Google Scholar, etc. databases that are examined in detail. For readers, diversification has been made to facilitate the identification of these studies and a detailed overview has been presented. Conclusion: As a result of the study, studies with the goal programming in the literature have been seen. The readers' perspectives for planning and scheduling are discussed

Application of Operational Research Techniques in Operating Room Scheduling Problems: Literature Overview

WOS: 000436313500001PubMed: 30008991Increased healthcare costs are pushing hospitals to reduce costs and increase the quality of care. Operating rooms are the most important source of income and expense for hospitals. Therefore, the hospital management focuses on the effectiveness of schedules and plans. This study includes analyses of recent research on operating room scheduling and planning. Most studies in the literature, from 2000 to the present day, were evaluated according to patient characteristics, performance measures, solution techniques used in the research, the uncertainty of the problem, applicability of the research, and the planning strategy to be dealt within the solution. One hundred seventy studies were examined in detail, after scanning the Emerald, Science Direct, JSTOR, Springer, Taylor and Francis, and Google Scholar databases. To facilitate the identification of these studies, they are grouped according to the different criteria of concern and then, a detailed overview is presented.Scientific Research Program (BAP) of Kirikkale UniversityKirikkale University [2017/027]This article was supported by the Scientific Research Program (BAP) of Kirikkale University as the project of 2017/027

Selecting of Monorail projects with analytic hierarchy process and 0-1 goal programming methods in Ankara

WOS: 000443177400018Uncontrolled increasing population, unplanned urbanization and enhancement in private vehicles number have revealed the of congestion traffic problem in urban area. These conditions have led to increase the need to remodeling the transportation plans. For this reason, a huge number of intensive studies were carried out in order to insure more efficiency to the public transport system by their different modes. One of these studies concerns the monorail service in Ankara, one of the most safe, fast and comfortable transport modes. Indeed, we made selection from several transport projects in Ankara Metropolitan Municipality using Analytic Hierarchy Process (AHP) and 0-1 Goal Programming methods

Analysis of the Difficulties of SMEs in Industry 4.0 Applications by Analytical Hierarchy Process and Analytical Network Process

Gur, Seyda/0000-0002-4639-9657; Eren, Tamer/0000-0001-5282-3138WOS: 000454735600033The concept of Industry 4.0 is seen as a recent paradigm in the manufacturing sector. The use of new production and management technologies required by the concept of Industry 4.0 is very important for small enterprises in order to keep up with the competition. However, most enterprises look at these requirements in a negative way. This study analyzes the propulsion forces of Industry 4.0 adopted in small and medium enterprises. By analyzing the difficulties in the transition process of small and medium-sized enterprises (SMEs) to Industry 4.0, the company contributes to the determination of strategic steps taking these results into consideration. This will facilitate the transition of enterprises to Industry 4.0 and progress can be made towards efficient use of resources. A hierarchical structure was established under the four main criteria of innovation, organization, environmental, and financial aspects, and the relative weight of these criteria and sub-criteria were calculated. The surveys conducted on business managers were evaluated using multi-criteria decision-making methods by the analytic hierarchy process method and the analytic network process. At the same time, the interaction between these criteria was taken into consideration and the criteria were re-evaluated by the analytical network process method. The results of the two methods seem to support each other.Scientific Research Program (BAP) of Kirikkale UniversityKirikkale University [2015/138]; Kirsehir-KOSGEBThis article is supported by Kirsehir-KOSGEB. This article is supported by Scientific Research Program (BAP) of Kirikkale University as project of 2015/138

Surgical Operation Scheduling with Goal Programming and Constraint Programming: A Case Study

Eren, Tamer/0000-0001-5282-3138WOS: 000464369500002The achievement of health organizations' goals is critically important for profitability. For this purpose, their resources, materials, and equipment should be efficiently used in the services they provide. A hospital has sensitive and expensive equipment, and the use of its equipment and resources needs to be balanced. The utilization of these resources should be considered in its operating rooms, as it shares both expense expenditure and revenue generation. This study's primary aim is the effective and balanced use of equipment and resources in hospital operating rooms. In this context, datasets from a state hospital were used via the goal programming and constraint programming methods. According to the wishes of hospital managers, three scenarios were separately modeled in both methods. According to the obtained results, schedules were compared and analyzed according to the current situation. The hospital-planning approach was positively affected, and goals such as minimization cost, staff and patient satisfaction, prevention over time, and less use were achieved.Scientific Research Program (BAP) of Kirikkale UniversityKirikkale University [2017/027]This research was funded by Scientific Research Program (BAP) of Kirikkale University as project of 2017/027

EVALUATION OF THE POTENTIAL OF THE INTERNET OF THINGS IN HEALTH SERVICES WITH MULTI CRITERIA DECISION-MAKING METHODS

WOS:000575787500036Background: With the technology developing all over the world, there is a transition period to the Industry 4.0 revolution in the field of health. The Internet of Things is one of the themes of Industry 4.0. Treatments applied in diseases have increased the use of health services with the increase in the world population. For this reason, there is a healthcare sector among the areas where the internet of things has turned into technology. Objectives: The impact of the Internet of Things potential on healthcare organizations is especially based on the reliability of patients and other institutions accessibility and sensitivity. It is very important to establish a correct and timely diagnosis and to start the treatment process in health institutions. The most important unit that is effective in providing these treatment processes is operating rooms. In this process, the integration of devices with internet technology and use by healthcare professionals provides more effective follow-up of patients. Thus, it contributes to the treatment process. In this study, the internet transition of things in the health sector is examined. Methods: In this study, the analytical network process method was used. ANP method was used because of the interaction and feedback between the criteria. Results: The internet potential of things in health services was evaluated using the analytical network process method. The evaluation and the determining criteria are aimed to increase the efficiency of the operating rooms and hospitals

Evaluation of the Difficulties in the Internet of Things (IoT) with Multi-Criteria Decision-Making

Eren, Tamer/0000-0001-5282-3138WOS: 000464434200002The rapid development of technology has increased the desire of all to be on the Internet. The discovery that objects born of the Internet communicate with each other without external factors revealed, with the fourth industrial revolution, the concept of the Internet of Things (IoT). The communication of objects with each other means minimum labor and minimum cost for enterprises. Enterprises that want to transition to the Internet of Things face many difficulties. Identifying and correcting these difficulties can lead to both lost time and high cost. In this study, we investigated the difficulties encountered in the Internet of Things. As a result of the study, the degree of importance of the factors causing these difficulties was determined by multi-criteria decision-making methods and was presented to the enterprises. The main criteria, and the sub-criteria related to these main criteria, were determined. The main purpose of the enterprises transitioning to Industry 4.0 is the communication of things with each other. In this study, we aimed to determine which criteria caused difficulties in the transition to Industry 4.0. Then, the degree of importance of the criteria was determined using the analytic hierarchy process (AHP) and analytic network process (ANP) methods, in the multi-criteria decision-making. Through the study, we determined which criteria should be taken into consideration by the enterprises that want to transition to the Internet of Things. In this way, enterprises will be able to accelerate that transition by minimizing time and monetary loss

GOAL PROGRAMMING APPROACH FOR THE RADIOLOGY TECHNICIAN SCHEDULING PROBLEM

OZCAN, Evren Can/0000-0002-3662-6190WOS: 000505058700029Population growth is led to an increase in demand in the health sector. Health services need to be met at the maximum level in the face of increasing demand. The number of patients per each health personnel in Turkey is too much. Considering this situation, it is seen that ensuring patient satisfaction is directly proportional to the satisfaction of the personnel. For this reason, some studies such as the positioning of polyclinics and hospitals encountered in health services, capacity planning and demand estimations, as well as the studies about the creation of study schedules of health personnel are also gained importance. In this study, it is aimed to provide the personnel satisfaction as much as possible. The Law No. 3153 on Radiology, Radionomy and Electrical Therapy and Other Physiotherapy Institutions published by the Ministry of Health of the Republic of Turkey, dated 19/4/1937, as well as the requirements of the Annex-1 of 21/1/2010, is considered. The scheduling problem for eight radiology technicians working in a private hospital in Ankara is discussed. A mathematical model is proposed using the goal programming method in order to assign the technicians to the four shifts as equally as possible. According to the researches, this is the first study which has the feature of radiology technicians and by considering government and hospital conditions as well as with staff requests, by application area