In this study, a fuzzy mathematical model is developed using a multi-response surface methodology with fuzzy logic to optimize all response variables simultaneously. The model has the flexibility to weight the response factors depending on the decision maker's choices. The model has been applied to the drilling process using a high speed steel drill bit on PVC samples in an upright drill. The aim of the study is to minimize surface roughness and cutting forces. The input variables and their experiment intervals are determined as cutting speed (360-1080 rev/min), feed rate (0.10-0.30 mm), and material thickness (15-45 mm). Surface roughness, radial force-X and radial force-Y are chosen as response variables. According to the experiments and statistical analysis, the optimum levels of cutting speed, feed rate, and material thickness were calculated as 1068 rev/min, 0.1195 mm, and 21.33 mm respectively.
E-commerce, which is defined as making commercial transactions in electronic environment, is becoming widespread day by day with the increase in the use of internet and mobile devices. Especially with the effect of COVID-19, the consumption habits of individuals have changed greatly, increasing the interest in electronic sales channels. Regardless of big or small, most companies and retailers are looking for ways to address their customers through electronic channels due to the effect of COVID-19. In this process, the rapidly increasing trend of electronic commerce raises one of the important issues of companies, "In which e-marketplace should we sell?”. Based on this issue, in this study, five criteria that are important in choosing the right e-marketplace were determined and eight online alternative e-marketplaces were evaluated. In the study carried out by using neutrosophic fuzzy AHP and EDAS methods, which are multi-criteria decision making techniques, a framework has been established for choosing the right e-commerce marketplace for sellers.
Nowadays, increasing manufacturing activities cause to critical environmental problems such as global warming and air pollution. These environmental problems have provided increase of environmental awareness in the production process and therefore the green manufacturing (GM) concept has emerged. In general, this concept refers to a production process, which has high efficiency and minimum environmental damage in terms of resources and products. GM has recently become important in almost every sector. Automotive industry has significant importance in terms of economy and employment when considered its sub-industry and other related sectors. Therefore, it is important to evaluate the adoption level of green manufacturing concept in this sector. Fuzzy multi criteria decision making (FMCDM) methods which handle uncertainty in decision making problems can be effectively used for green performance evaluation of companies. In this study, it is aimed to assess green performance of manufacturers which operate in automotive sector by using a MCDM model based on fuzzy analytic hierarchy process (FAHP) method. This model consists of 5 main criteria which are green design, green energy, green material, green logistics and green management, and 19 sub criteria located under these main criteria. As a result of the study, green energy and low waste criteria were determined as the most important main and sub criteria with weights of 0.268 and 0.1026 respectively. The proposed model can be used as an effective tool for companies operating in the automotive industry to measure and to follow their green performance and to select their suppliers.
Electronic commerce (EC) is a term for any type of business, or commercial transaction that involves the transfer of information across an electronic network, primarily the Internet. EC has expanded rapidly over the past decade and is predicted to continue at this rate, or even accelerate because it allows consumers to exchange goods and services with no barriers of time or distance and it is often faster, cheaper and more convenient than the traditional methods of commerce. It is clear to see that EC is an area of importance in the field of business research, but there have been only few literature review on this area, and hardly any of them are recent study. In this paper, an updated literature review and classification framework for EC research is presented. The study is based on the analysis of a large number of publications (especially journal articles) related to EC using various electronic journal databases and printed journals. All of the papers in the review are classified according to proposed classification framework which consists of main and sub-categories based on their main focus and results of these are presented. The results of this study demonstrate that an increasing quantity of EC research has been conducted for a wide range of areas. It is to be hoped that this study will be helpful for anyone interested in EC as a source and arouse more interest.
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