A decision making process requires the values of conflicting objectives for alternatives and the selection of the best alternative according to the needs of decision makers. Multi-objective optimization methods may provide solution for this selection. In this paper it is aimed to present the laptop selection problem based on MOORA plus full multiplicative form (MULTIMOORA) and multi-objective optimization on the basis of simple ratio analysis (MOOSRA) which are relatively new multi-objective optimization methods. The novelty of this paper is solving this problem with the MULTIMOORA and MOOSRA methods for the first time.

/pdf/the-multi-objective-decision-making-methods-based-on-2asum6h4cy.pdf

The multi-objective decision making methods based on MULTIMOORA and MOOSRA for the laptop selection problem

With the rapid increase in the number of mobile users, wireless access technologies are evolving to provide mobile users with high data rates and support new applications that include both human and machine-type communications. Heterogeneous networks (HetNets), created by the joint installation of macro cells and a large number of densely deployed small cells, are considered an important solution to deal with the increasing network capacity demands and provide high coverage to wireless users in future fifth generation (5G) wireless networks. Due to the increasing complexity of network topology in 5G HetNets with the integration of many different base station types, in 5G architecture mobility management has many challenges. Intense deployment of small cells, along with many advantages it provides, brings important mobility management problems such as frequent handover (HO), HO failure, HO delays, ping-pong HO and high energy consumption which will result in lower user experience and heavy signal loads. In this paper, we provide a comprehensive study on the mobility management in 5G HetNet in terms of radio resource control, the initial access and registration procedure of the user equipment (UE) to the network, the paging procedure that provides the location of the UE within the network, connected mode mobility management schemes, beam level mobility and beam management. Besides, this paper addresses the challenges and suggest possible solutions for the 5G mobility management.

/pdf/a-comprehensive-survey-on-mobility-management-in-5g-2l3vii5tht.pdf

A Comprehensive Survey on Mobility Management in 5G Heterogeneous Networks: Architectures, Challenges and Solutions

Nowadays companies should respond and satisfy the customer needs effectively and quickly to establish a position in the competitive market One of the ways of achieving these goals is the outsourcing their some manufacturing operations to contract manufacturers Outsourcing manufacturing operation to contract manufacturers decreases the operational cost, increases the profit and provides the flexibility of production capability So the selecting a contract manufacturer for a company is an important problem that must be dealt very carefully This selection is influenced by quantitative and qualitative criteria and it is handled as Multi Criteria Decision Making (MCDM) problem In this paper, CRITIC (CRiteria Importance Through Intercriteria Correlation) and MAUT (Multi Attribute Utility Theory) methods are applied to the contract manufacturer selection problem The weights of the contract manufacturer selection criteria are derived from CRITIC method whereas the complete ranking of the contract manufacturer alternatives are obtained by using MAUT Finally the results are discussed

Critic and Maut Methods for the Contract Manufacturer Selection Problem

Various Multi-Criteria Decision Making (MCDM) methods have been developed to support decision making process. The main aim of all MCDM methods is to obtain ranking of the alternatives and select the best one under conflicting criteria. In this paper, a combined MCDM approach is proposed based on MACBETH (Measuring Attractiveness by a Categorical Based Evaluation TecHnique) and MULTI-MOORA (Multi Objective Optimization on the basis of Ratio Analysis) methods. In this combined approach, the weights of the criteria are determined with MACBETH method and then MULTI-MOORA method is used to obtain the final ranking of the alternatives. At the end of the paper, to illustrate the applicability of the proposed approach an application of the automobile selection of a marble company is also given.

/pdf/combined-multi-criteria-decision-making-approach-based-on-587xq9fvfv.pdf

Combined multi-criteria decision making approach based on macbeth and multi-moora methods

Supply chain has a very extensive and dynamic structure that incorporates new business models, new customer expectations, market searches and technological developments. With the introduction of Industry 4.0 into supply chain, a rapid and intensive process of digitalization begins to transform every step of supply chain. Supply chain selection is one of the essential decisions in reducing the supply chain cost and improving overall quality of product and services. With the implication of digital technologies and Industry 4.0 on supply chain, the supplier selection process has been significantly changed during the recent years. Companies are willing to need new requirements for their own suppliers in accordance with Industry 4.0 implementations and technologies. This paper aims to identify key criteria to Industry 4.0 technologies and evaluate them to select the right suppliers selection in the era of Industry 4.0. Within the scope of this study attempts to develop an integrated interval type 2 fuzzy AHP and GOPRAS-G methodology to select the appropriate supplier in the face of Industry 4.0 implementations. For this purpose, interval type 2 fuzzy AHP was employed to weight the supplier evaluation criteria and then, Gray COPRAS method has been applied to prioritize suppliers. This paper is to provide practitioners and researchers with insight into how Industry 4.0 strategies influence on supplier selection.

/pdf/an-integrated-interval-type-2-fuzzy-ahp-and-copras-g-4gfc6erbqa.pdf

An integrated interval type 2 fuzzy AHP and COPRAS-G methodologies for supplier selection in the era of Industry 4.0

Gunumuzde artan nufus ve endustrilesmeyle beraber, enerji tuketimi hizla artmaktadir. Gunumuzde artan enerji talebini karsilayabilecek olan komur rezervlerinin verimli isletilip, enerjide disa bagimliligin azaltilmasi icin bilimsel ve teknolojik yontemler kullanilmalidir. Bu baglamda, cevresel faktorleri de dikkate almak suretiyle etkin, verimli ve surdurulebilir uretim yapmak ve calismalara hiz verilmesi gerekmektedir. Turkiye Komur Isletmeleri sekiz ayri isletmeden olustugu icin bu isletmelerin performanslarinin degerlendirilmesinde kullanilmak uzere belirlenen kriterler her bir isletme icin farkli degerler almaktadir. Boyle bir durumda da Cok Kriterli Karar Verme (CKKV) yontemlerinin uygulanmasi tercih edilmektedir. Bu calismada; Turkiye Komur Isletmeleri’ne ait sekiz isletmenin AHP temelli MULTIMOORA ve COPRAS yontemleri ile performans degerlendirmesi amaclanmistir. 2008-2012 yillarini kapsayan analizler icin toplam satis, faaliyet kari, rezerv durumu, calisan kisi sayisi, dekopaj miktari, yatirim harcamalari ve uretim miktari kriterleri dikkate alinmistir.

/pdf/ahp-temelli-multimoora-ve-copras-yontemi-ile-turkiye-komur-2o6a96b5bx.pdf

AHP Temelli MULTIMOORA ve COPRAS Yöntemi ile Türkiye Kömür İşletmeleri’nin Performans Değerlendirmesi

In this study, performances of automotive companies traded on BIST (Istanbul Stock Exchange) and also operated in our country have been  compared with the multi-criteria decision making techniques. Data of the most important automotive companies operating in Turkey have been analyzed based on capital, stock certificate, marketing value, sales revenue, number of employees , net profit margin, current ratio, net profit/capital, net profit/sales and net sales/number of employees. Criteria applied on  Performance measurement  was gained  operating reports of companies  in 2014. Entropy method  has been used to determine the weights of the criteria. Those weights have been used MAUT (Multi-Attribute Utility Theory) and SAW (Simple Additive Weighting)  methods to rank automative companies’ performances The findings highlight that the same companies were in the first three places  in both methods.

/pdf/entropi-temelli-maut-ve-saw-yontemleri-ile-otomotiv-4uf2pnej0m.pdf

Entropi Temelli MAUT ve SAW Yöntemleri İle Otomotiv Firmalarının Performans Değerlemesi

Talep tahmini tuketicilerin gelecekte ne kadar mal ve hizmet talep edeceklerinin degiskenler yardimiyla tahmin edilmesidir. Talep tahmin metotlari kantitatif ve kalitatif yontemler olmak uzere iki grupta toplanmaktadir. Bu calismanin amaci da yeni otomobil satis miktarlarinin yapay sinir aglari yontemiyle onceden tahmin edilerek otomotiv sektoru ile ilgili bir takim politikalarin belirlenmesine katki saglamaktir. Calismada Ocak-2007 ile Haziran-2011 yillari arasindaki aylik veriler kullanilmistir. Calismada bagimsiz degiskenler olarak gayri safi yurtici hasila, reel kesim guven endeksi, yatirim harcamalari, tuketim harcamalari, tuketici guven endeksi,  dolar kuru ve zaman, bagimli degisken olarak ise satilan toplam otomobil sayisi alinmistir. http://dx.doi.org/10.11122/ijmeb.2012.8.17.290

Yapay Sinir Ağları Yöntemi İle Otomobil Satış Tahmini

In this study, performances of Turkish Super League’s top six goal scorers, who scored 15 or more goals in 2012-2013 season, have been analyzed. Multi-criteria decision-making methods have been used in the study. Analytic Hierarchy Process (Analytic Hierarchy Process-AHP) has been used to determine the weights of the criteria. Those weights have been used in TOPSIS (Technique For Order Preference By Similarity To An Ideal Solution) and VIKOR (Vise Kriterijumska Optimizacija I Kompromisno Resenje) methods to rank football players’ performances. The findings highlight that apart from the ranking of the total number of goals, all other rankings are identical in both methods.

/pdf/analitik-hiyerarsi-sureci-temelli-topsis-ve-vikor-yontemleri-20cq99vexa.pdf

Anali̇ti̇k hi̇yerarşi̇ süreci̇ temelli̇ topsis ve vikor yöntemleri̇ i̇le futbolcu performanslarinin değerlendi̇ri̇lmesi̇

Aplication of AHP and FAHP Methods in Supplier Selection Process at Hotel Businesses decision processes both qualitative and quantitative the succes of supplier preference process. There are a lot of quantitative methods which employ multiple decision criterias. This study employs the analytic hierarchy process and fuzzy analytic hierarchy process methods and the results of both methods are compared and analysed. In this study six main criterias price, reliability, product quality, delivery performance, ease of paying and reference are determined by interviewing the hotel managers

/pdf/otel-isletmelerinde-tedarikci-secimi-surecinde-ahp-ve-bahp-1izkedjcd8.pdf

Otel İşletmelerinde Tedarikçi Seçimi Sürecinde AHP ve BAHP Yöntemlerinin Uygulanması

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