Stacker Selection with PSI and WEDBA Methods

Material handling equipment selection is of great importance for companies as it will greatly increase the efficiency and productivity of the companies and impose a large cost on the companies in case of any wrong choice. In this study, by utilizing an integrated MCDM model consisting of PSI and WEDBA, the selection of stacker, which is one of the material handling equipment, is made. In this study, PSI and WEDBA methods are used together for the first time. In addition, the use of the PSI method to obtain the weights of the criteria rarely appears in the literature. Besides, there is no study on the selection of manual stacker in the literature. Thus, this study aims to fill above-mentioned gaps in the literature. According to results of WEDBA method, the best stacker was determined as "ST5". This stacker was followed by "ST3", "ST4", "ST1" and "ST2" respectively

A NEW INTEGRATED GREY MCDM MODEL: CASE OF WAREHOUSE LOCATION SELECTION

Warehouses link suppliers and customers throughout the entire supply chain. The location of the warehouse has a significant impact on the logistics process. Even though all other warehouse activities are successful, if the product dispatched from the warehouse fails to meet the customer needs in time, the company may face with the risk of losing customers. This affects the performance of the whole supply chain therefore the choice of warehouse location is an important decision problem. This problem is a multi-criteria decision-making (MCDM) problem since it involves many criteria and alternatives in the selection process. This study proposes an integrated grey MCDM model including grey preference selection index (GPSI) and grey proximity indexed value (GPIV) to determine the most appropriate warehouse location for a supermarket. This study aims to make three contributions to the literature. PSI and PIV methods combined with grey theory will be introduced for the first time in the literature. In addition, GPSI and GPIV methods will be combined and used to select the best warehouse location. In this study, the performances of five warehouse location alternatives were assessed with twelve criteria. Location 4 is found as the best alternative in GPIV. The GPIV results were compared with other grey MCDM methods, and it was found that GPIV method is reliable. It has been determined from the sensitivity analysis that the change in criteria weights causes a change in the ranking of the locations therefore GPIV method was found to be sensitive to the change in criteria weights

COMBINING DIFFERENT MCDM METHODS WITH THE COPELAND METHOD: AN INVESTIGATION ON MOTORCYCLE SELECTION

There are many different multi-criteria decision making methods in the literature. These methods, which enable criteria with different measurement units to be examined together, allow choosing between alternatives. However, different methods can produce different results depending on the data set. The aim of this study is to combine the results obtained by applying different methods to the data set with the Copeland method. To this end, a problem with real data was first addressed. Technical data of motorcycle alternatives that can be preferred for individual needs were collected in terms of different criteria. The weights of these criteria were found by the PIPRECIA method. Six different multi-criteria decision making methods were used to evaluate motorcycle alternatives. These methods are MOPA, MOOSRA, COPRAS, SAW, WPM and ROV. The sequencing results obtained from these methods were combined with the Copeland method and the results were discussed

MCDM model for critical selection of building and insulation materials for optimising energy usage and environmental effect in production focus

In the context of sustainable buildings, an ecological study of building and insulating materials is critical since it may assist affirm or shift the path of new technology development. Utilising sustainable material is a part of the sustainable improvement. For this reason, material fabrication is the primary process for the energy usage and release of intense environmental gaseous. The fabrication of the insulation and building materials, as in every fabrication process, comprises an energy consumption of crude materials in addition to the pollutants’ release. In buildings, insulation is a relevant technological resolution for cutting energy usage. This study aims to assess the primary energy consumption and the environmental effects of the fabrication of building and thermal isolation materials by using a new hybrid MCDM model. The proposed new hybrid MCDM model includes Fuzzy FUCOM, CCSD and CRADIS methods. While the subjective weights of the criteria were determined with the fuzzy FUCOM method, the objective weights of the criteria were determined with the CCSD method. Construction materials were listed with the CRADIS method. According to the fuzzy FUCOM method, the most important criterion was determined as the CR3 criterion, while the most important criterion according to the CCSD method was determined as the CR1 criterion. According to the combined weights, the most important criterion was determined as the CR3 criterion. According to the CRADIS method, the material with the best performance was determined as Cement Plaster. The methodology used in this study is a novel approach therefore it has not been used in any study before. In addition, since the CRADIS method is a newly developed MCDM method, the number of articles related to this method is low. Therefore, this research gap will be filled with this study

Nowy zintegrowany model rozwiązujący problem wyboru maszyny dla firmy tekstylnej

The textile sector has become an indispensable part of the Turkish economy. The sewing machine is a long-lasting and easy-to-use tool widely used in the garment industry, which is a branch of the textile industry. The sewing machine is an indispensable production tool for the textile industry and sewing machine selection is a significant decision for the production performance of textile companies. Selecting an appropriate sewing machine increases production performance, while selecting an improper one reduces production performance. The sewing machine selection problem is a typical machine selection issue. Many criteria, such as cost, productivity, safety etc. are considered in the machine selection. Therefore, MCDM methods are applicable to solve the machine selection problem. This study develops an integrated grey MCDM model including Grey AHP and ROV-G to select the most appropriate sewing machine for an apparel textile company.Sektor tekstylny stał się nieodłączną częścią tureckiej gospodarki. Maszyna do szycia jest trwałym i łatwym w użyciu narzędziem szeroko stosowanym w przemyśle odzieżowym, który jest gałęzią przemysłu tekstylnego. Maszyna do szycia jest niezbędnym narzędziem produkcyjnym dla przemysłu tekstylnego, a wybór maszyny do szycia jest znaczącą decyzją w zakresie wydajności produkcyjnej firm tekstylnych. Wybór odpowiedniej maszyny do szycia zwiększa wydajność produkcji, a wybór niewłaściwej zmniejsza wydajność produkcji. Problem wyboru maszyny do szycia jest typowym problemem przy wyborze maszyny. Przy wyborze maszyny branych jest pod uwagę wiele kryteriów, takich jak: koszt, wydajność, bezpieczeństwo itp. Dlatego metody MCDM mają zastosowanie do rozwiązania problemu wyboru maszyny. W badaniu, w celu wybrania najbardziej odpowiedniej maszyny do szycia dla firmy produkującej odzież, opracowano zintegrowany model MCDM, w tym AHP i ROV-G

Energy-Performance Evaluation with Revit Analysis of Mathematical-Model-Based Optimal Insulation Thickness

This study investigates the optimum insulation thickness value using MATLAB Optimization Toolbox based on a mathematical model for sandwich walls that are formed with different insulation-building materials by different fuel types for a particular city located in the second climatic region of Turkey. In the second stage of study, using the BIM-based Revit simulation program, a building was designed with the same building-insulation materials under the same climate conditions. The six different wall performances were compared for the designed building. The study proposes a comprehensive approach by combining technical and economic factors in the sustainable design of buildings. The computational results indicate that using different energy alternatives has a significant impact on the air quality in residential areas. The lowest value is reached when natural gas is used. The energy cost savings change from 7.56 to 14.12 TRY/m2 for external walls. While payback periods vary between 2.15 and 3.76 years for external walls, the lowest period for all wall types is obtained for electricity, which has a high cost. The optimum insulation thickness for 10 years of lifetime varies between 0.02 and 0.16 m. This study reflects that the highest optimal insulating thickness is reached when electricity is utilized as the energy source for all wall types. According to the Revit analysis, the lowest energy consumption of 21,677 kWh during one year using natural gas was obtained for a building material of porous light brick and an insulation material of glass wool

An analysis of the logistics performance index of EU countries with an integrated MCDM model

Countries can check the performance of their logistics’ activities to determine their competitiveness in trade logistics. One way to check these performances is to analyze the country’s LPI value in detail which is released by the WB every two years. When calculating the LPI, six indicators (criteria) are taken into account. The weights (importance level) of these criteria are important for countries which would like to focus more on the most important criteria and move their ranking up in the LPI list. However the WB takes into account indicators (criteria) weights equally when calculating LPI values. In order to overcome this problem some studies have used subjective weighting methods and others have used objective weighting methods. Both methods have advantages and disadvantages. The aim of this study is to integrate two weighting methods (subjective (SWARA) and objective (CRITIC)) in determining the weights of criteria in order to balance the two weighting methods. Unlike other studies in the literature this study combines two weighting methods. Additionally the PIV method, which is seldom used to address any MCDM problem, is used in this study and a new integrated MCDM model is introduced to literature. In this respect this study contributes to the literature

ÇOK KRİTERLİ KARAR YÖNTEMLERİNDEN ELECTRE YÖNTEMİYLE MALATYA’DA BİR KARGO FİRMASI İÇİN YER SEÇİMİ

Çok kriterli karar verme yöntemlerinden biri olan Electre yöntemi, sayısal analiz bakımından birçok problemi çözmede araştırmacılara yardım sağlamaktadır. Electre’nın sayısal analiz gerektiren lojistik alanı için geniş çözümler oluşturacağı düşünülmüştür. Bu nedenden ötürü Malatya şehrinde bulunan kargo firmalarına anket çalışması uygulanmış. Anket çalışmalarının sonuçlarına göre sayısal kriterler belirlenip, analizler oluşturulmuştur. Analizler vasıtasıyla kargo firmasının yeni açacağı mağazasının yeri belirlenmeye çalışılmıştır. Analizlerin firmaya yeni mağazası için yer bulma kararında bir fikir vereceği düşünülmüştür

Bulanık AHP ve Bulanık EDAS Yöntemleri İle Üçüncü Parti Lojistik Firması Seçimi

anemonBusinesses need to work with the right and appropriate 3PL (third party logistics) companies to gain competitive advantage and increase their profit margins. Therefore, choosing the right and the appropriate 3PL firm is important for businesses. More than one criteria should be taken into consideration for the selection of a 3PL company. Multi-criteria decision making (MCDM) methods can be used in the 3PL selection problem due to considering more than one criteria. In this study, a fuzzy MCDD model consisting of Fuzzy AHP and Fuzzy EDAS methods has been developed and the application of the developed model was made in military equipment producing factory in Ankara. While the Fuzzy AHP method was used to find the criteria weights, the Fuzzy EDAS method was used to determine the best 3PL firm.İşletmeler, rekabet avantajı elde etmek ve kar marjlarını artırmak için doğru ve uygun 3PL (üçüncü parti lojistik) firmaları ile çalışmaları gerekmektedir. Bu yüzden doğru ve uygun 3PL firması seçimi işletmeler için önemlidir. 3PL firması seçimi için birden fazla kriter dikkate alınmalıdır. Birden fazla kriter göz önünde bulundurulmasından dolayı çok kriterli karar verme (ÇKKV) yöntemleri 3PL seçimi probleminde kullanılabilir. Bu çalışmada Bulanık AHP ve Bulanık EDAS yöntemlerinden oluşan bir bulanık ÇKKV modeli geliştirilmiştir ve geliştirilen modelin uygulaması Ankara’da bulunan bir askeri araç-gereç üreten fabrikada yapılmıştır. Kriter ağırlıklarının bulunmasında Bulanık AHP yöntemi kullanılırken, en uygun 3PL firmanın belirlenmesi için Bulanık EDAS yöntemi kullanılmıştır.76735

Selection of the Third Party Logistics Company With Fuzzy AHP and Fuzzy EDAS Methods

anemonBusinesses need to work with the right and appropriate 3PL (third party logistics) companies to gain competitive advantage and increase their profit margins. Therefore, choosing the right and the appropriate 3PL firm is important for businesses. More than one criteria should be taken into consideration for the selection of a 3PL company. Multi-criteria decision making (MCDM) methods can be used in the 3PL selection problem due to considering more than one criteria. In this study, a fuzzy MCDD model consisting of Fuzzy AHP and Fuzzy EDAS methods has been developed and the application of the developed model was made in military equipment producing factory in Ankara. While the Fuzzy AHP method was used to find the criteria weights, the Fuzzy EDAS method was used to determine the best 3PL firm.İşletmeler, rekabet avantajı elde etmek ve kar marjlarını artırmak için doğru ve uygun 3PL (üçüncü parti lojistik) firmaları ile çalışmaları gerekmektedir. Bu yüzden doğru ve uygun 3PL firması seçimi işletmeler için önemlidir. 3PL firması seçimi için birden fazla kriter dikkate alınmalıdır. Birden fazla kriter göz önünde bulundurulmasından dolayı çok kriterli karar verme (ÇKKV) yöntemleri 3PL seçimi probleminde kullanılabilir. Bu çalışmada Bulanık AHP ve Bulanık EDAS yöntemlerinden oluşan bir bulanık ÇKKV modeli geliştirilmiştir ve geliştirilen modelin uygulaması Ankara’da bulunan bir askeri araç-gereç üreten fabrikada yapılmıştır. Kriter ağırlıklarının bulunmasında Bulanık AHP yöntemi kullanılırken, en uygun 3PL firmanın belirlenmesi için Bulanık EDAS yöntemi kullanılmıştır.76735