ROUTE FIRST-CLUSTER SECOND METHOD FOR PERSONAL SERVICE ROUTING PROBLEM

The Vehicle Routing Problem (VRP), which has many sub-branches, is a difficult problem that cannot be solved using classical methods. This study includes a case study for Service Routing Problem, which is one of the sub-branches of VRP. The case study is a problem of determining service routes for staffs of a company. In this context, we first assigned the employees to the stations, and then we reached a solution using the route first-cluster second heuristic method. We used the Genetic Algorithm (GA) to improve the route and compared the results by creating different scenarios in clustering methods

ROUTE FIRST-CLUSTER SECOND METHOD FOR PERSONAL SERVICE ROUTING PROBLEM

The Vehicle Routing Problem (VRP), which has many sub-branches, is a difficult problem that cannot be solved using classical methods. This study includes a case study for Service Routing Problem, which is one of the sub-branches of VRP. The case study is a problem of determining service routes for staffs of a company. In this context, we first assigned the employees to the stations, and then we reached a solution using the route first-cluster second heuristic method. We used the Genetic Algorithm (GA) to improve the route and compared the results by creating different scenarios in clustering methods

OECD ülkelerinin kadın girişimciliği performanslarının değerlendirilmesi – Veri Zarflama Analizi uygulaması

The importance of women entrepreneurship increases day by day as it has a significant contribution to economic development, job creation, and innovation. Thus, policymakers put more emphasis on the criticality of standardized data, comparative studies, and measurement methods for women's entrepreneurship because these are essential to developing public policy and incentive/support systems. Within the scope of the study, women entrepreneurship performance of OECD countries was evaluated via Data Envelopment Analysis (DEA) and a comparative analysis presented. Input-oriented Charnes Cooper Rhodes (CCR) model was used and the established model was solved using EMS (Efficiency Measurement System). Results show that 11 countries (Denmark, Finland, France, Greece, Lithuania, Luxembourg, Netherlands, Norway, Portugal, Sweden, Switzerland) are efficient countries with their women entrepreneurship performance and as an output of the analysis the inefficient countries and their references are shared. Turkey took 29th place among 30 countries in the means of women entrepreneurship performance and Turkey, France, and Portugal should be taken as references for the improvement activities.Kadın girişimciliğinin önemi ekonomik kalkınmaya, istihdam yaratılmasına ve yenilikçiliğe katkısından dolayı her geçen gün artmaktadır. Bu nedenle, politika yapıcılar, standartlaştırılmış verilerin, karşılaştırmalı çalışmaların ve kadın girişimciliği için ölçüm yöntemlerinin kritikliğine daha fazla vurgu yapmaktadır; zira, bunlar, kamu politikası ve teşvik / destek sistemleri geliştirmek için gereklidir. Çalışma kapsamında OECD ülkelerinin kadın girişimcilik performansı Veri Zarflama Analizi (VZA) ile değerlendirilmiş ve karşılaştırmalı bir analiz sunulmuştur. Girdi yönelimli Charnes Cooper Rhodes (CCR) modeli kullanılmış ve oluşturulan model EMS (Efficiency Measurement System) kullanılarak çözülmüştür. Sonuçlar, 11 ülkenin (Danimarka, Finlandiya, Fransa, Yunanistan, Litvanya, Lüksemburg, Hollanda, Norveç, Portekiz, İsveç, İsviçre) kadın girişimcilik performansları ile verimli ülkeler olduğunu göstermiş ve analizin çıktısı olarak verimsiz ülkeler ile referansları paylaşılmıştır. Türkiye, kadın girişimcilik performansı açısından 30 ülke arasında 29. sırada yer alırken, iyileştirme faaliyetleri için Fransa ve Portekiz’i referans alma gerekliliği tespit edilmiştir

Disappearance of Biodiversity and Future of Our Foods

“I. Uluslararası Organik Tarım ve Biyoçeşitlilik Sempozyumu 27-29 Eylül Bayburt