Mathematical Model and Stochastic Multi-Criteria Acceptability Analysis for Facility Location Problem

This paper studies a real-life public sector facility location problem. The problem fundamentally originated from the idea of downsizing the number of service centres. However, opening of new facilities is also considered in case the current facilities fail to fulfil general management demands. Two operation research methodologies are used to solve the problem and the obtained results are compared. First, a mathematical programming model is introduced to determine where the new facilities will be located, and which districts get service from which facilities, as if there were currently no existing facilities. Second, the Stochastic Multi-criteria Acceptability Analysis-TRI (SMAA-TRI) method is used to select the best suitable places for service centres among the existing facilities. It is noted that the application of mathematical programming model and SMAA-TRI integration approach on facility location problem is the first study in literature. Compression of outcomes shows that mixed integer linear programming (MILP) model tries to open facilities in districts which are favoured by SMAA-TRI solution.</span

Analytic hierarchy process for urban transportation: a bibliometric and social network analysis

Increasing population and urbanization create many problems, especially traffic problems in urban areas. Public transportation is becoming a necessity since it is seen as a solution for traffic problems. This paper conducts bibliometric and social network analysis on urban and public transportation literature that use Analytic Hierarchy Process (AHP) technique. In this study, 222 papers were reviewed. These papers were published between 1987 and 2022 and were extracted from the Web of Science database. Analyses are realized in order to identify trends, and key points in a more scientific and objective way. Analysis results show that there is great increase in number of publications in the last 10 years. Most active author according to publication number is Duleba S., the journal that has the most publications is "Sustainability", and most productive country is China. Hybrid methodologies such as AHP-TOPSIS and Fuzzy AHP also are frequently used in publications. Furthermore, the AHP technique has been frequently used for measuring service quality, bus selection, vehicle selection, determination of facility location, passenger satisfaction, and bus-bicycle routes. To achieve sustainable urban transportation, it is crucial to adopt smart and eco-friendly technological solutions that cater to the diverse needs of current and potential users. Integrating various transportation modes is also essential for ensuring safety and sustainability of urban transportation systems. Furthermore, public transportation vehicles based on clean technology should be prioritized over other options since they promote cleaner air in cities, particularly in densely populated areas, leading to better air quality and more livable cities

Mathematical Model and Stochastic Multi-Criteria Acceptability Analysis for Facility Location Problem

This paper studies a real-life public sector facility location problem. The problem fundamentally originated from the idea of downsizing the number of service centres. However, opening of new facilities is also considered in case the current facilities fail to fulfil general management demands. Two operation research methodologies are used to solve the problem and the obtained results are compared. First, a mathematical programming model is introduced to determine where the new facilities will be located, and which districts get service from which facilities, as if there were currently no existing facilities. Second, the Stochastic Multi-criteria Acceptability Analysis-TRI (SMAA-TRI) method is used to select the best suitable places for service centres among the existing facilities. It is noted that the application of mathematical programming model and SMAA-TRI integration approach on facility location problem is the first study in literature. Compression of outcomes shows that mixed integer linear programming (MILP) model tries to open facilities in districts which are favoured by SMAA-TRI solution.</span

Application of the fuzzy inference system to evaluate the quality of air textured warp yarn

It has become one of the indispensable conditions to continuously improve the quality and achieve the quality standards in order to adapt to the increasingly competitive environment in the textile industry. However, the textile production process like many other industrial processes involves the interaction of a large number of variables. For a standard quality production, the relation between raw material properties, process parameters, and environmental factors must be established conclusively. The physical properties of air textured warp yarn that affect the quality of the yarn, construct the strength of the yarn. After the production process, different values of each yarn sample are revealed from the strength tests performed during the quality control process. Six criteria that affect the quality of the yarn and identify the strength of the yarn are defined as a result of strength tests. Those criteria are count, tenacity, elongation shrinkage, Resistance per Kilometer (RKM) and breaking force. The differences between the values of these criteria and linguistic variables cause uncertainty when defining the quality of the yarn. To take into consideration this uncertainty a Fuzzy Inference System (FIS) is developed using six criteria as inputs, 144 rules created, and the linguistic variables of Air Textured Yarn (ATY) samples of a textile manufacturer. The quality level of the products according to the different membership functions are identified with the proposed FIS generated by MATLAB version 2015a and recommendations are made to the manufacturer

A mathematical model using AHP priorities for soccer player selection: a case study

The process of player selection in multi-player sports like soccer is a complex multi-criteria problem. In this paper, a two-phase approach is proposed for soccer player selection. In the first phase, the attributes of each player – based on their position within a soccer team – is prioritised using the Analytic Hierarchic Process (AHP). In the second phase, a 0-1 integer linear programming model is developed using the weights of player attributes, and the top performers are determined for inclusion in the team. Finally, a case study on the Turkish soccer club called Fenerbahçe is used to illustrate the applicability and performance of the proposed approach

Implementation of Socket Programming Simulation Using Quantum Communication Technologies

Using socket programming, which plays a major role in the communication between devices and people, data is transmitted instantly over predetermined ports. By the evolution of technology, the size of the data is increasing due to the increase in the quality of the data. As a result, there are losses and delays in data transfers. According to the research, it is assumed that applications and systems to be developed using quantum technologies will be useful in solving these problems. In this study, firstly information was given about the mechanism in classical socket programming and the problems encountered in this mechanism. Then, by giving information about quantum communication and the methods used in this communication, the quantum solutions to these problems were examined, the application was coded in the quantum programming language and the communication between two ports with quantum socket programming was simulated. The results obtained from this simulation was compared with the classically obtained results. Communication simulation between sockets was performed using teleportation and super-dense coding in quantum computers. © 2022 IEEE

Profit oriented supply chain network optimization

This paper proposes a novel mixed integer linear programming model to solve a supply chain network design problem. The proposed model deals with major issues for supply chains; product quality and cost. These issues are usually solved separately, but in this paper, we investigate effects of product quality on supply chain design and transportation flow. A trade-off between raw material quality, its purchasing and reprocessing costs was considered. Assuming decision maker (DM) wishes to work with a supplier which serves a low quality raw material; this raw material should be in need of reprocessing. To avoid the reprocessing costs, a supplier which serves a high quality raw material should be chosen but at this time the DM has to face a high purchasing cost. A supply chain network which consists of multiple suppliers, manufacturers, distribution centers and retailers is tried to be designed to accomplish aforementioned above trade-offs. The paper examines and discusses the relationship between product quality and supply chain design and offers several managerial insights