WoS İndeksli Yayınlar Koleksiyonu

Permanent URI for this collectionhttps://gcris.yasar.edu.tr/handle/123456789/11289

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A Comparative Study of Artificial Intelligence Based Methods for Abnormal Pattern Identification in SPC
(SPRINGER INTERNATIONAL PUBLISHING AG, 2022) Umut Avci; Onder Bulut; Ayhan Ozgur Toy; Toy, Ayhan Ozgur; Bulut, Onder; Avci, Umut; C Kahraman; AC Tolga; SC Onar; S Cebi; B Oztaysi; IU Sari
Statistical process control techniques have been used to detect any assignable cause that may result in a lower quality. Among these techniques is the identification of any abnormal patterns that may indicate the presence of an assignable cause. These abnormal patterns may be in the form of steady movement in one direction i.e. trends, an instantaneous change in the process mean i.e. sudden shift, a series of high observations followed by a series of low observations i.e. cycles. As long as we can classify the observed data the decision maker can decide on actions to be performed to ensure quality standards and planning for interventions. In identification of these abnormal patterns rather than relying on human element intelligent tools have been proposed in the literature. We attempt to provide a comparative study of various classification algorithms used for pattern identification in statistical process control. We specifically consider six different types of patterns to classify. These different types are: (1) Normal (2) Upward trend (3) Downward trend (4) Upward shift (5) Downward shift (6) Cyclic. A recent trend in classification is to use deep neural networks (DNNs). However due to the design complexity of DNNs alternative classification methods should also be considered. Our focus on this study is to compare traditional classification methods to a recent DNN solution in the literature in terms of their efficiencies. Our numerical study indicates that basic classification algorithms perform relatively well in addition to their structural advantages.
Citation - WoS: 1
A Discrete-Time Resource Allocated Project Scheduling Model
(Springer Science and Business Media Deutschland GmbH, 2021-11-11) Berkay Çataltuğ; Helin Su Çorapcı; Levent Kandiller; Fatih Kağan Keremit; Giray Bingöl Kırbaş; Özge Ötleş; Atakan Özerkan; Hazal Tucu; Damla Yüksel; Yuksel, Damla; Cataltug, Berkay; Corapci, Helin Su; Keremit, Fatih Kagan; Otles, Ozge; Kirbas, Giray Bingol; Kandiller, Levent; N.M. Durakbasa , M.G. Gençyılmaz
Project Management involves the implementation of knowledge and skills to meet project requirements with beneficial tools and techniques. Project Management consists of tools that provide improvement in the pillars of time cost and quality. Discrete-Time Resource Allocated Project Scheduling Model (DTRAPS) is developed to minimize time to maximize quality and to minimize the cost of a project together in one tool. By means of this tool it is possible to allocate the resources over the project tasks in an optimized way with respect to each pillar of the triangle. Moreover sensitivity analysis on the model is done with the number of activities resource number and available time window parameters. The results indicate that the model is robust. Since the model is taking a longer CPU time in solving large problems heuristics such as Greedy Smallest Requirements First (SRF) Largest Requirements First (LRF) and Randomized are developed together with Swap improvement algorithm. Heuristics are compared and analyzed. Last of all a dynamic and user-friendly decision support system is developed on Excel-VBA for the model solution via CPLEX solver and heuristics. © 2022 Elsevier B.V. All rights reserved.
Citation - WoS: 2
Citation - Scopus: 5
A Literature Review on Supplier Selection Problem and Fuzzy Logic
(SPRINGER INTERNATIONAL PUBLISHING AG, 2022) Mert Paldrak; Gamze Erdem; Melis Tan Tacoglu; Simge Guclukol; Efthimia Staiou; Tan Tacoğlu, Melis; Paldrak, Mert; Guclukol, Simge; Staiou, Efthimia; Tacoglu, Melis Tan; Erdem, Gamze; C Kahraman; AC Tolga; SC Onar; S Cebi; B Oztaysi; IU Sari
Given the recent increasing competition in global market supplier selection and evaluation has attracted a great deal of attention especially at academic levels. Supplier selection problem is a complex problem since there exist a great number of unpredictable and uncontrollable factors which have a huge impact on decision-making process. Due to this complexity there are several criteria that must be taken into consideration such as cost quality on-time delivery proximity of suppliers long-term relationship etc. Although some of these criteria (quantitative) can be expressed using pure numeric scales some (qualitative) are linguistic due to the human assessments which contain some degree of subjectivity. Since involvement of human assessment causes vagueness for deterministic models the authors apply fuzzy logic which enables the decision makers to be able to convert their linguistic expressions into fuzzy numbers with the help of fuzzy membership functions. Considering that fuzzy logic plays a vital role in solving multi-criteria supplier selection problem this paper aims to present a review of supplier selection problem and its relation with fuzzy logic. In this paper several studies that highlight supplier selection problem and the importance of fuzzy logic involvement in the problem have been reviewed. An analysis of multi-criteria decision-making methods for supplier selection problem is conducted.
A Multi-objective Approach to Flight Scheduling and Fleet Assignment in Hub Network
(Springer, 2025) Melis Tan Tacoglu; Mustafa Arslan Ornek; Cemalettin Öztürk; Ornek, Mustafa Arslan; Ozturk, Cemalettin; Tacoglu, Melis Tan
The hub-and-spoke (HS) network is a widely used business strategy by airlines to optimize their operations and increase their reach by connecting multiple destinations through a central hub and the majority of the passengers are transit passengers. The airline schedule planning process starts with the flight scheduling problem (FSP) to generate a timetable in advance of six months. Then the fleet assignment problem (FAP) is examined to determine aircraft types. This sequential solution approach causes suboptimal solutions and the schedule must be adjusted to increased demand. Due to the complexity of this problem this study focuses specifically on incremental schedule design with one hub two-flight leg network. This study presents a Multi-Objective Mixed Integer Programming Model for integrated FSP and FAP to adjust the generated timetable with launching new flights. Two solution approaches are proposed to decide the new proposed flight’s time aircraft type and passenger assignment: the Weighted Goal Programming Model (WGPM) and the Lexicographic Goal Programming Model (LGPM). This study shows that there is a conflicting relationship between cost and C02 emissions in the flight scheduling process. If carbon dioxide emissions are prioritized airlines need to schedule more flights with small-capacity aircraft. © 2025 Elsevier B.V. All rights reserved.
Citation - Scopus: 1
A New Heuristic for PCBs Grouping Problem with Setup Times
(IEEE Computer Society help@computer.org, 2020-07) Jiangping Huang; Quanke Pan; M. Fatih Tasgetiren; Yingying Huang; Tasgetiren, M Fatih; Huang, Ying-Ying; Pan, Quan-Ke; Huang, Jiang-Ping; J. Fu , J. Sun
In this paper we present a new heuristic to divide a batch of printed circuit boards (PCBs) into subgroups to save the setup time for loading and unloading components from the assembly machine. In the heuristic we propose several concepts about similarity to make the number of groups as few as possible. To better show the relationship between the PCB types and the component types of a group we introduce a new solution representation. In addition considering the characteristics of the PCBs grouping problem (PGP) a method for pairing PCBs is presented. With the PCB pairs an iterative scheme is applied to start a new group. We try the rest PCBs one by one according to the similarity between it and the PCB group. Finally the experiments and comparisons show the good performance of the proposed heuristic. © 2020 Elsevier B.V. All rights reserved.
Citation - WoS: 1
Citation - Scopus: 1
A Survey on Optimization Problems in the Airline Industry and Airports
(SPRINGER INTERNATIONAL PUBLISHING AG, 2024) Mert Paldrak; Melis Tan Tacoglu; Mustafa Arslan Ornek; Paldrak, Mert; Ornek, Mustafa Arslan; Tacoglu, Melis Tan; C Kahraman; SC Onar; S Cebi; B Oztaysi; AC Tolga; IU Sari
In response to the rapid growth in air transportation demand the methods to manage allocate and efficiently use scarce resources in the airport play a vital role in improving the efficiency of the air transportation system. Due to the limited infrastructure of hub-and-spoke airports which is influenced by many factors the chief goal of the airline industry and airport management is to utilize such resources as check-in desks departure lounges bridge-equipped gates aircraft stands baggage carousels staff and equipment. Based on the mobility of the resources in the airports there are two types of problems in the airline industry and airports namely mobile and immobile resource optimization problems. The crew optimization problems are mobile resource optimization problems whereas airport gate assignment counter assignment problems and carousel optimization problems are immobile resource optimization problems in airports. Considering the problems classified based on the mobility of the resources this paper aims to present a survey of optimization problems in the aviation industry explaining the interplay and relationship between these problems along with modeling techniques and proposed solutions to this individual problem.
An energy conservative wireless sensor network model for object tracking
(Institute of Electrical and Electronics Engineers Inc., 2014-09-29) Gökçer Peynirci; Ilker Korkmaz; Muharrem Gurgen
This study aims to find the relationship between energy consumption level and object tracking success in an object tracking sensor network (OTSN). Convenient use of energy proposes a great challenge for wireless sensor network (WSN) design and the balance between successful object tracking and low energy consumption is a tight one. To address this issue we propose a new network operation scheme for object tracking implement this scheme in Network Simulator 2 (ns-2) and present the obtained results of the conducted simulation experiments. The simulation results show that the proposed method can be used to track objects in a WSN network in an energy conservative manner. © 2021 Elsevier B.V. All rights reserved.
Citation - WoS: 7
Citation - Scopus: 8
An improved discrete artificial bee colony algorithm for the distributed permutation flowshop scheduling problem with preventive maintenance
(IEEE Computer Society help@computer.org, 2020-07) Jiayang Mao; Xiaolu Hu; Quanke Pan; Zhonghua Miao; Chuangxin He; M. Fatih Tasgetiren; Tasgetiren, M. Fatih; He, Chuangxin; Mao, Jiayang; Hu, XiaoLu; Pan, Quan-ke; Miao, Zhonghua; J. Fu , J. Sun
The distributed permutation flowshop scheduling problem with preventive maintenance operator (PM/DPFSP) is closely related to modem industry. This paper presents an improved discrete artificial bee colony (IDABC) algorithm for solving this problem. The criterion to be optimized is the makespan. An improved NEH heuristic method is proposed to initialize the population effectively. We adapted a local search method with insertion and swap operator to produce neighboring solutions in employ bee phase and onlooker bee phase. A global search method with destruction and reconstruction phase is introduced to avoid local optima in scout bee phase. The parameters for the proposed IDABC are calibrated by means of a design of experiments and analysis of variance. We conduct extensive experiments to test the performance of IDABC. Computational results indicate that IDABC has promising advantages on PM/DPFSP. © 2020 Elsevier B.V. All rights reserved.
Citation - WoS: 2
Citation - Scopus: 3
An iterated local search algorithm for distributed assembly permutation flowshop problem
(IEEE, 2020-07) Ying-Ying Huang; Quan-ke Pan; XiaoLu Hu; Mehmet Fatih Tasgetiren; Jiang-ping Huang; Tasgetiren, M. Fatih; Huang, Ying-Ying; Pan, Quan-ke; Hu, XiaoLu; Huang, Jiang-ping; J Fu; J Sun
Nowadays the distributed assembly permutation flowshop problem (DAPFSP) has important applications in practice. In this paper we propose a group iterated local search (gILS) algorithm to solve the problem with total flowtime (TF) criterion. We use the heuristic method based on a ascending order which is originated from the NEH. In order to simplify and optimize the algorithm we introduce two kinds of local search methods based on products and jobs respectively. In addition considering the diversity of search area we propose a probabilistic random selection based on the TF value and the number of iterations to determine the optimized solution. Acceptance criterion is a simple comparison to determine whether a new solution is acceptable or not. Finally we calculate 180 instances with our proposed algorithm and compare the results with those from the recent effective algorithms. The results verify the superiority of the presented gILS algorithm.
Citation - WoS: 1
Citation - Scopus: 1
Applying Available-to-Promise (ATP) Concept in Multi-Model Assembly Line Planning Problems in a Make-to-Order (MTO) Environment
(Springer Science and Business Media Deutschland GmbH, 2021-11-11) Mert Yüksel; Yaşar Karakaya; Okan Özgü; Ant Kahyaoğlu; Dicle Dicleli; Elif Onaran; Zeynep Akkent; Mahmut Ali Gökçe; Sinem Özkan; Ozgu, Okan; Dicleli, Dicle; Kahyaoglu, Ant; Onaran, Elif; Yuksel, Mert; Karakaya, Yasar; Ozkan, Sinem; N.M. Durakbasa , M.G. Gençyılmaz
We consider a multi-model assembly line production planning problem. We assume an environment where orders with several different model types with varying quantities are received by contract manufacturers in a Make-to-Order (MTO) environment. The models are similar enough in such a way that they share some common critical raw materials/parts and are to be produced on an already balanced multi model assembly line. Due to MTO and contracts there are significant costs associated with earliness and tardiness in addition to inventory and production costs capacity and other operational constraints. The challenge is to be able to make quick and accurate decisions regarding whether or not to accept an order and provide a due date along with raw material procurement and production plan that can be followed. This problem is closely related to Available to Promise (ATP) systems. Increased revenue and profitability are expected with the better management of ATP systems by reducing the amount of missed market opportunities and improving operational efficiency. This study aims to develop an effective solution method for this problem which will minimize earliness tardiness lost sales inventory holding FGI subcontracting overtime and raw material costs. We present the results of a detailed review of related literature. This study fills the gap in the literature of assembly line planning problems that covers Available-to-Promise by considering shipping decisions on critical raw materials required for production in a make-to-order environment. After determining a gap in the literature a novel mathematical model has been developed to solve the problem on hand. While this developed mathematical model offers an acceptable calculation time for problems where the production time required to meet the total demand does not exceed the total inhouse production time it does not offer a fast solution method for the problems where the total inhouse production time is insufficient to meet the total demand. For this reason a heuristic algorithm has been developed that provides faster results with near-optimal solutions for this type of problem. We present the results of our experimentation with both models. © 2022 Elsevier B.V. All rights reserved.
Cost-Optimal Egg Procurement Planning via MILP: A Smart System for Demand Satisfaction Under Fuzzy Constraints
(Springer Science and Business Media Deutschland GmbH, 2025) Canan Akgün; Nazlı Karatas Aygün; Yağmur Başgöl; Melisa Deligöz; Levent Kandiller; Ataberk Köseoğlu; Duru Özcanlı; Özcanlı, Duru; Deligöz, Melisa; Aygün, Nazlı Karataş; Akgün, Canan; Kandiller, Levent; Başgöl, Yağmur; Köseoğlu, Ataberk; C. Kahraman , S. Cebi , B. Oztaysi , S. Cevik Onar , C. Tolga , I. Ucal Sari , I. Otay
This study optimizes turkey egg supply planning for a meat production company. The primary objective is to determine optimal weekly procurement quantities that minimize costs while effectively meeting production demands and hatchery schedules. Both domestic and international suppliers with varying capacities transportation and costs are handled. The originality of this study lies in integrating detailed real-world constraints—supplier variability international logistics complexities regulatory requirements breed-specific considerations and hatchery limitations—through an inclusive Mixed-Integer Linear Programming (MILP) model. For balanced resource allocation suppliers breed types and penalty costs applied to excess supply and unmet demand are assigned. Procurement decisions all together optimize transportation customs clearance ordering costs and supplier selection. Computational experiments using real-life data demonstrate improved procurement efficiency reduced waste due to surplus and perishability and enhanced operational stability. This approach prevents bottlenecks ensuring cost-effective resource utilization. Results validate the model’s effectiveness in streamlining procurement strategies for perishable goods supply chains. © 2025 Elsevier B.V. All rights reserved.
Design of Seismic Retrofitting Using Viscous Dampers: A Case Study from a School Building
(Springer Science and Business Media Deutschland GmbH, 2024) Merve Gördesel Yıldız; Cüneyt Tüzün; Gülüm Birgoren Tanırcan; Tanircan, G.; Yildiz, M. G.; Tuzun, C.; A.N. Sigaher , F. Sutcu , C. Yenidogan
In this study performance of viscous dampers as an alternative retrofitting technique in a building is evaluated. Büyük Halkalı Primary School Building in İstanbul is considered as a case study. The building was constructed in 1997 and retrofitted in 2006 using conventional methods. In 2019 the building was reassessed according to the Turkish Building Seismic Code (TBDY-2018) and strengthening was achieved by additional shear walls. In this study different from the previous approach directivity effects of the ground motion were also considered in addition to the code specific design spectrum. Nonlinear time-history analyses were performed according to TBDY-2018. The retrofit design aimed to enhance the building's seismic performance and reduce potential damage during a seismic event. The design included the installation of seismic dampers which are devices that dissipate seismic energy and reduce the building's response to ground motion. The seismic dampers were strategically placed to control the building's response to seismic forces and limit the structural damage. Both retrofit options (conventional method and the viscous dampers alternative) were compared in terms of cost serviceability architectural benefits and construction time. © 2024 Elsevier B.V. All rights reserved.
Citation - WoS: 1
Citation - Scopus: 1
Different variations of amplitude spectrum based method for radar target recognition
(IEEE, 2013-07) Mustafa Seçmen; Secmen, Mustafa
This study develops a low decision time and highly accurate target recognition method by using wideband scattered signals from radar targets in resonance region. In the mentioned method estimation of signal parameters by rotational invariance techniques (ESPRIT) is used as main signal processing tool. Several reference ESPRIT vectors acquired by using amplitude based approach and are reduced to one vector for each target with averaging. These single vectors are used as feature vectors of the target set. The test phase is employed with highest correlation coefficients between amplitude vectors of test signals and feature vectors. The proposed method with two different variations is implemented to small-scale airplane targets modeled with wires. In addition to low runtime high recognition rates especially for the variation using real frequencies are found at low SNR levels. © 2013 IEEE. © 2014 Elsevier B.V. All rights reserved.
Distribution Planning of LPG to Gas Stations in the Aegean Region
(SPRINGER-VERLAG SINGAPORE PTE LTD, 2021-11-11) Berfin Alkan; Berfin Dilsan Kikizade; Buse Karadan; Cagatay Duysak; Elif Hande Kupeli; Emre Yagiz Turan; Tugce Dilber; Erdinc Oner; Nazli Karatas Aygun; Küpeli, Elif Hande; Kikizade, Berfin Dilsan; Aygün, Nazlı Karataş; Duysak, Çağatay; Turan, Emre Yağız; Karadan, Buse; Alkan, Berfin; NM Durakbasa; MG Gencyilmaz
This study considers the application of LPG distribution to stations in the Aegean region in Turkey. There is a distribution center in Aliaga which collects the orders and distributes LPG to the gas stations. The problem is to determine the shortest routes with the minimum number of trucks at minimum cost. This problem was modeled as a vehicle routing problem and then extended to capacitated vehicle routing problem with time windows (CVRPTW) to increase the service quality and adapt the problem to real life. The small size models were solved by CPLEX Optimization Studio. It was not possible to obtain optimal solutions for problem instances with 41 stations and larger number of gas stations since respective problems are NP-hard. Therefore several heuristics are applied to solve the problem such as Clarke and Wright algorithm Nearest Neighborhood and The Best Decision (TBD) algorithms. Clarke and Wright and Nearest Neighborhood heuristics are already defined in literature. However TBD heuristics is a novel approach proposed in this study. Computational results shows that Clarke and Wright algorithm is found to give the best results to solve the CVRPTW problem. A user friendly decision support system is developed to implement the heuristics to solve the problem.
Citation - WoS: 2
Citation - Scopus: 2
Effective Permittivity and Permeability of Dielectric Resonator Arrays in Rectangular Waveguide for Metamaterial Applications
(IEEE, 2015-07) Gizem Kalender; Mustafa Secmen; Yesim Zoral; Secmen, Mustafa; Zoral, Yesim; Kalender, Gizem
The study describes the effective permittivity and permeability calculation of dielectric resonator arrays embedded in a WR90 rectangular waveguide structure. The scattering parameters are extracted and verified with full-wave simulations and measurements within 8-14 GHz. Then the effective permittivity and permeability values are acquired with the retrieval method. The results reveal that the structure shows double negative (DNG) characteristics at some frequencies when the distance between resonators is close enough. Therefore the structure can be considered in the design of metamaterial applications.
Citation - WoS: 1
Electricity Consumption Forecasting in Turkey
(SPRINGER-VERLAG SINGAPORE PTE LTD, 2021-11-11) Bugsem Acar; Selin Yigit; Berkay Tuzuner; Burcu Ozgirgin; Ipek Ekiz; Melisa Ozbiltekin-Pala; Esra Ekinci; Ozgirgin, Burcu; Ekiz, Ipek; Ekinci, Esra; Acar, Bugsem; Ozbiltekin-Pala, Melisa; Yigit, Selin; Tuzuner, Berkay; NM Durakbasa; MG Gencyilmaz
Electrical energy is a type of energy that needs to be transmitted quickly and with high quality. With the development of industry and technology the need for electrical energy is increasing every day. Accurate forecasting of electricity consumption is crucial since electricity cannot be stored. In this study electricity consumption in Turkey has been forecasted for long run using Grey Model and short run using the seasonal ARIMA model. Short term production is important to produce the right amount at the right time to meet exact demand. Also in the short-term seasonal fluctuations in electricity will guide the companies in planning production and capacity. Long-term forecasting will indicate the investment requirement in facilities.
Citation - WoS: 33
Citation - Scopus: 37
EXERGETIC EXERGOECONOMIC AND SUSTAINABILITY ASSESSMENTS OF PISTON-PROP AIRCRAFT ENGINES
(TURKISH SOC THERMAL SCIENCES TECHNOLOGY, 2012) Onder Altuntas; T. Hikmet Karakoc; Arif Hepbasli; Altuntas, Onder; Hepbasli, Arif; Karakoc, T. Hikmet
In this study the exergetic exergoeconomic and sustainability aspects of piston-prop aircraft engines are comprehensively reviewed. These analysis and assessment tools are applied to a four-cylinder spark ignition naturally aspirated and air-cooled piston-prop aircraft engine in the landing and takeoff (LTO) phases of flight operations. LTO consists of four parts: takeoff climb out approach and taxi. The results of energy analysis indicate that takeoff is a phase requiring high power with a maximum work rate of 111.90 kW. Maximum fuel energy and exergy rates are calculated to be 444.30 kW and 476.51 kW respectively. The minimum total loss is found in the taxi phase while maximum energy and exergy efficiency values are 26.76% and 24.95% in the climb out phase respectively. Based on the results of the cost analysis the taxi has the maximum exergy destruction cost rate with 23.41 $/h at a fixed production and 2.96 $/h at a fixed fuel. Maximum sustainability index (SI) is found to be 1.332 at the climb out phase.
Citation - WoS: 2
Citation - Scopus: 2
Financial Crisis and Economic Downturn
(PREMIER PUBLISHING INC, 2011) Georges Pariente; Bora Aktan; Omar Masood; Pariente, Georges; Aktan, Bora; Masood, Omar
In the recent economic recession Federal Reserve (The FED) and Federal Government have preferred different methods to stimulate the economy. The key factor is the choice of financing each have following to implement their stimulus programs. The FED had opted to use quantitative easing (QE) in increasing money the FED expect to ease credit and investments by commercial banks hence improving the flow of money in the economy. The Federal Government have opted to use US Treasuries in paying vast fiscal stimulus programs to fuel the economy. Both are feasible for the objective each is trying to pursue, however both have long-term disadvantages on the economy. For this purpose the focal point of this paper is to discuss the stimulus programs. Findings show that the current recession is a combination of financial crisis in the banking system and an economic downturn. Hence there is a requirement for the implementation of both fiscal stimulus and countercyclical monetary policies to stimulate the economy.
Fuzzy TOPSIS and Goal Programming Approaches to Multi Objective Facility Location Problem for Emergency Goods and Services Distribution and Bornova/Izmir Case Study
(Springer Science and Business Media Deutschland GmbH, 2022) Mert Paldrak; Simge Güçlükol Ergin; Mahmut Ali Gökçe; Melis Tan Tacoglu; Gökçe, Mahmut Ali; Tan Tacoğlu, Melis; Paldrak, Mert; Güçlükol, Simge; Tacoglu, Melis Tan; C. Kahraman , S. Cevik Onar , B. Oztaysi , I.U. Sari , A.C. Tolga , S. Cebi
Distributions of vital goods and services in emergency or post disaster situations are of paramount importance to be able to meet the requirements of those in need on time. Finding an appropriate location for facilities to distribute such goods and services efficiently and quickly is an important challenge. In such a situation location decisions for these facilities must be made quickly considering multiple objectives. This problem is a multi-objective facility location problem (MOFLP). The main focus of this study is to present two solution methodologies for a MOFLP in a post disaster situation. We specifically consider objective of minimizing maximum weighted distance traveled and minimizing total cost of facilities to be opened in order to satisfy all demand. We also provide a version of the problem when the number of facilities to be opened is limited and second objective becomes maximizing demand covered. Due to the conflicting nature of the objective functions we propose to apply Fuzzy TOPSIS and Goal Programming and compare the solutions obtained using these two techniques with respect to solution quality and computational time. We present the developed models and provide results from a real-life application using existing emergency assembly areas and current census data for Bornova/İzmir. This paper contributes in two ways to existing literature. First is the comparison between multiple (two) solution methodologies for MOPLP. Studies in the literature provide only one solution technique such as Fuzzy TOPSIS Goal Programming etc. Secondly we implement these methodologies by using real life data for emergency situations. © 2022 Elsevier B.V. All rights reserved.
Citation - Scopus: 1
GridGIS portal development based on OGCE
(SPIE-INT Soc Optical Engineering, 2009-10-31) Yumei Sun; Yu Fang; Bin M. Chen; Tohid Ahmed Rana; Jiayuan Lin; Xiaona Li; Lin, Jiayuan; Sun, Yumei; Li, Xiaona; Chen, Bin; Rana, Tohid Ahmed; Fang, Yu
GridGIS is the application of grid computing technology on GIS field which aims to realize the spatial information sharing and cooperative service. However current grid technologies are generally difficult to use so the development and deployment of Web portals that simplifies usage of grid resources has become popular. Grid-enabled portals can thus serve as simple single points of entry or gateway to multiple computing resources providing access to complex grid tools and services. In this paper we give an overview of GridGIS project and the key role of that GridGIS portal is playing in reaching its goals. Then we describe the portal and Open Grid Computing Environment (OGCE) portal toolkit. Basing on OGCE and integrated Open Geospatial Consortium (OGC) Web service we design the architecture of the GridGIS portal. In an open source development environment we develop and deploy GridGIS portal which includes authentication module Grid Port Information Repository (GPIR) portlet Comprehensive File Management (CFM) portlet Grid Resource Allocation and Management (GRAM) portlet and Map Viewer portlet. © 2008 SPIE. © 2009 Elsevier B.V. All rights reserved.

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