A two-phase procedure for a multi-objective programming problem with fuzzy coefficients based on group decision making for project selection

Regional Development Agencies (RDAs) play a major role in ensuring sustainability and reducing inter-regional and intra-regional development disparities in line with the principles and policies set in the National Development Plan and Programs. This is done by enhancing cooperation among the public and private sectors, as well as non-governmental organizations. To achieve these targets, RDAs use certain tools such as financial support programs, technical support programs, and the like. Accordingly, an effective evaluation mechanism is crucial in selecting projects that have more added value and higher multiplier effects. In this regard, determining the right parameters that assist in choosing the best projects should be clearly demonstrated. In this study, the selection of projects according to the evaluating criteria of support mechanisms considered by RDAs are discussed through the procedure provided by a practical solution methodology, which is an integration of fuzzy parametric programming (FPP) and fuzzy linear programming (FLP). Later, a two-phase procedure is introduced to solve multi-objective fuzzy linear programming problems

Examining the Relationship Among Economic Growth, Exports and Total Productivity for OECD Countries Using Data Envelopment Analysis and Panel Data Analyses

The main objective of this paper is to explore the relationship between Total Factor Productivity (TFP) and economic growth and exports for OECD countries for the sample period 1990-2013. For this purpose, firstly, TFP values were calculated using data envelopment analysis (DEA) for the corresponding countries within the availability of their labor force and fixed capital formation data for the relevant sample period. Secondly, several panel data analyses were performed to determine the impact of TFP values on economic growth and exports of OECD countries. Consequently, results reveal a statistically significant positive impact of TFP on both economic growth and exports for OECD countries

ÜRETİM İŞLETMESİ SİSTEM DİNAMİĞİ MODELİ

Ticari hayatın çok yüksek dinamizme sahip olduğu günümüzde muhasebenin sadece işletme içindeki işlem ve olayları değil, işletme çevresi, rakipler, yasal mevzuat ve hatta tüm dünyadaki potansiyel müşteriler ve iş çevreleriyle ilgili değerlendirmeler yapabilmesi, bu değerlendirmeleri de sayısal bilgiler halinde karar alıcılara sunabilmesi gerekmektedir. Geleneksel yönetim muhasebesi işletmelerle ilgili olarak başa baş noktası, hedef kar, güvenlik payı ve en uygun mamul karmasının belirlenmesi gibi konulara odaklanmıştır. Oysa günümüzde işletmelerin ayakta kalabilmeleri, maliyetlerini kontrol edebilmelerinin yanı sıra faaliyetlerin her ayı ve hatta her haftasına ilişkin satış gelirlerini ve nakit durumlarını hesaplayarak gerekli düzeltmeleri yapmalarına ve varsa önleyici işlemleri gerçekleştirebilmelerine sıkı bir biçimde bağlıdır. Sistem dinamiği yönetim muhasebesinin cevap vermekte zorlandığı dinamik problemlerin çözümünde ve işletme stratejilerinin geliştirilmesinde kullanılabilen dinamik bir simülasyon yöntemidir. Sistem dinamiği disiplinler arası bir yaklaşımdır ve ilgili disiplinlerin model ve araçlarını kullanır. Çalışmada sistem dinamiği yaklaşımı ile bir üretim işletmesinin modeli oluşturulmuş, farklı senaryolar denenmiş ve sonuçlar karşılaştırılmıştır

Investigating Alternative Routes for Employee Shuttle Services Arising in a Textile Company: A Comparative Study

Part 2: Regular Session: New Approaches for Routing Problem SolvingInternational audienceFor the big companies, picking up a number of employees from various places (residential areas or common places) within a neighborhood and brought to the factory should be a challenging task. Potential improvements for this constantly repeated service planning may result in cost and total traveled distance reduction. To search and provide the aforementioned potential savings, three different scenarios with three different bus capacities are generated for a textile company in this paper. In the first scenario that is also the current application of the company, an integer programming model for the capacitated vehicle routing problem (CVRP) is applied. In this scenario, shuttle buses with a certain capacity are routed by picking up the employees from their homes. In the second scenario, the employees are clustered (cluster size is equal to the vehicle capacity) using P-median model to minimize the total walking distance of employees to the meeting point, then the shuttle buses are routed by visiting the clustered zones (meeting points). In the last scenario, the employees are clustered using K-means model and then, shuttle buses transport workers to factory from the center points of each cluster. Three scenarios with different bus capacities (20, 30 and 50 people) are applied to a textile company (the depot) that includes 1,361 employees. The models are run using Gurobi 9.1.1 with Python 3.8 and the results are discussed. According to the results, second and third scenarios reduce the total traveled distance by 46.90% and 44.10% (averagely) compared to the first scenario, respectively

Tevfik Sırrı Gür ve Mersin tarihindeki yeri

Ankara : İhsan Doğramacı Bilkent Üniversitesi İktisadi, İdari ve Sosyal Bilimler Fakültesi, Tarih Bölümü, 2015.This work is a student project of the The Department of History, Faculty of Economics, Administrative and Social Sciences, İhsan Doğramacı Bilkent University.by Ünsal, Mehmet Süha

The effect of sleep disorders on quality of life in patients with epilepsy: A multicenter study from Turkey

Objective: We aimed to investigate sleep disorders in patients with epilepsy (PWE) and to investigate the effects of sleep disorders on quality of life. Methods: In our multicenter study conducted in Turkey, 1358 PWE were evaluated. The demographic and clinical data of the patients were recorded. The Insomnia Severity Index (ISI), Epworth Sleepiness Scale (ESS), Pittsburgh Sleep Quality Index (PSQI), Beck Depression Inventory (BDI), and Quality of Life in Epilepsy Inventory-10 (QOLIE-10) were administered. Results: The mean age of 1358 patients was 35.92 ± 14.11 (range, 18–89) years. Seven hundred fifty-one (55.30 %) were women. Some 12.7 % of the patients had insomnia (ISI > 14), 9.6 % had excessive daytime sleepiness (ESS > 10), 46.5 % had poor sleep quality (PSQI > 5), and 354 patients (26.1 %) had depressive symptoms (BDI > 16). The mean QOLIE-10 score was 22.82 ± 8.14 (10–48). Resistant epilepsy was evaluated as the parameter with the highest risk affecting quality of life Adjusted odds ratio (AOR = 3.714; 95 % confidence interval (CI): [2.440–5.652] < 0.001)). ISI (AOR = 1.184; 95 % CI: [1.128–1.243]; p < 0.001), ESS (AOR = 1.081; 95 % CI: [1.034–1.130]; p < 0.001), PSQI (AOR = 0.928; 95 % CI: [0.867 – 0.994]; p = 0.034), BDI (AOR = 1.106; 95 % CI: [1.084–1.129]; p < 0.001), epilepsy duration (AOR = 1.023; 95 % CI: [1.004–1.041]; p = 0.014), were determined as factors affecting quality of life. Significance: Sleep disorders are common in PWE and impair their quality of life. Quality of life can be improved by controlling the factors that may cause sleep disorders such as good seizure control, avoiding polypharmacy, and correcting the underlying mood disorders in patients with epilepsy