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In a recent paper by authors (Ziarati and Ucan, January 2001) a Back Propagation-Artificial Neural Network (BP-ANN) was adapted for predicting the required car parts quantities in a real and major auto parts supplier chain. It was argued that due to the learning ability of neural networks, their speed and capacity to handle large amount of data, they have a potential for predicting components requirements and establishing associated scheduling throughout a given supply chain system.This paper should be considered a continuation of the first paper as the neural network approach introduced in this paper replaces the BP-ANN by a new method viz., Genetic Cellular Neural Network (GCNN). The latter approach requires by far less stability parameters and hence better suited to fast changing scenarios as in real supply chain applications.The model has shown promising outcomes in learning and predicting material demand in a supply chain, with high degree of accuracy.

In this paper, Soft Systems Methodology SSM , quite a recent development in Systems Engineering, is reviewed briefly. First, a historical background on Systems Engineering that led to the emergence of this area is provided. Here, the limitations of 'Hard' Systems Engineering in dealing with ill-structured socio-economic problems are summarised, and the reasons for SSM becoming a relatively more 'successful' approach are given. The paper is concluded by a review of the SSM Methodology., Bu makalede Sistem Mühendisliği konusunda en son gelişmelerden birisi olan ‘Soft Systems Methodology SSM ’ konusu kısaca incelenmektedir. Öncelikle, SSM’ in oluşumunu hazırlayan koşullar Sistem Mühendisliğinin kısa bir tarihçesi içinde sunulmaktadır. Burada ‘‘Hard’Systems Engineering’’ yaklaşımının kolaylıkla formule edilemeyen sosyo-ekonomik problemlerin çözümündeki yetersizlikleri özet­lenmektedir. Daha sonra, sosyo-ekonomik problemlerin çözümünde SSM’ in niye daha başarılı olabileceği tartışılmakta ve SSM Metodolojisi ana hatlanyla anlatıl­maktadır

Acquisitions are assumed to create value for both the target and the acquiring firm. This paper analyzes the sources of value creation in acquisitions and examines the domestic acquisitions that took place in Turkey in 2013. By taking the overall market considerations into account, I measure the degree of value creation over different periods of time. I use the standard market value technique to calculate abnormal returns in stock prices of the acquiring firms and find that the increase in firm value is statistically significant in the long run but not in the short run., Şirket satın almalarının hem satın alan hem de satılan firmanın piyasa değerini arttırdığı varsayılır. Bu makalede, Türkiye'de 2013 yılında gerçekleşen yerli satın almalar, piyasaların genel trendini de göz önünde bulundurarak incelenmiştir. Standart Piyasa değeri tekniğini kullanarak, satın alan firmanin hisse senedi fiyatlarındaki anormal getiriler hesaplanmıştır . Satın almanin açıklandığı tarih öncesi ve sonrasının karşılaştırılması sonucunda, firma değerindeki artışın uzun vadede istatistiki olarak anlamlı olduğu, fakat kısa vadede anlamlı olmadığı bulunmuştur

This paper is an attempt to assess the performance and limitations of Biogas Combined Heat and Power CHP plants available to the water companies. This includes measuring the capacity of an average Sewage Treatment work STW for producing sludge and ultimately producing Biogas. It also investigates the amount of electricity produced and the works self-sufficiency in terms of energy utilised., Bu makale, su irketlerinde bulunan biyogaz tesislerinin verim ve kısıtlamalarını de erlendirmeye çalı maktadır. Bu da, ortalama olarak, üretilen çamur ve bunun sonunda elde edilen biyogaz üretim i lemlerinin kapasitesini ölçmekten geçmektedir. Aynı zamanda, üretilen elektri in miktarı ile yapılan i in kullanılan enerji bakımından, kendi kendine yeterliliği incelenmiştir

This paper describes the realization of a fuzzy gain scheduling scheme of a PI controller using a RISC microcontroller. Fuzzy rules and reasoning are utilised on-line to determine the PI controller parameters based on the error signal and its first difference. The Fuzzy control algorithm is implemented in the RISC microcontroller to regulate the speed of a permanent magnet DC motor (PMDC) and works on-line. The microcontroller directly tunes the motor speed with a chopper converter which changes the motor terminal voltage. Application results demonstrate that better control performance can be achieved in comparison with traditional PI controllers.

The paper introduces a generic quality model for application in higher education environment and investigates the role that the International Standards Organisation (ISO) 9000 requirements could play in such a model. The ISO terms have been translated into education terms and priority action plans have been developed to aid implementation. The generic model and the ISO system have been complemented with a quality manual. The latter identifies a number of processes and how these processes can be implemented in theory and in practice. A university has been selected to test the applicability of the various elements of the generic and ISO models and how the two approaches could be integrated and what else needs to be considered. Special references are made to higher education institutions that have adapted an ISO 9000 based system.

In this paper, a Back Propagation-Artificial Neural Network BP-ANN has been adapted for predicting the required car parts quantities in a real and major auto parts supplier chain. The conventional approach to determine the parts requirements is the Economic Order Quantity EOQ method. The ability of neural models to learn, particularly their capability of handling large amounts of data simultaneously as well as their fast response time, are the characteristics desired for predictive and forecasting purposes. Here, the actual data obtained from a major auto parts supplier chain, involving a multi-layer system of supplying auto parts to car dealers, have been used to optimise and develop a BP-ANN model. The model has shown promising results in predicting parts orders with high degree of accuracy., ¡'in makalede. Geri yayihm h Yapay Sinir Ağ YSA.ı yapıları gerçek bir anıha parçası sağlayan bir firmaya uygulanmıştır. Klasik yaklaşım, istenen talepleri Ekonomik Sipariş M iktarı ESM ile belirlemektir. Y SÂ ’nm eğitilebilir olması ve büyük m eblağlı setleri paralel ve lu/lı çözebilmesi geleceğe dönük siparişleri tahm in etm e şansı doğurmaktadır. Burada gerçek bir firmanın akış şen imm. ana satıcı firmalarla bağıntıları YSA yaklaşım ı ile optimise edilmiş ve yeni bir YSÀ önerilmiştir. Sonuçların çok doğruya yakın bulunmuş olması, YSA m odelinin gelecek vadetmesıni sağlamaktadır

In order to obtain a desired control system performance, primarily, the parameters of the system to be controlled must be determined. However, due to the structural and non-structural uncertainties, the system model considered could show some variations within the boundaries. In this paper, taking the parameter variations on the model into account, a PI type speed controller for dc servomotors, which are commonly used in the industry, was designed to provide a specified performance under all the working conditions. During the design phase, the results obtained from Ackermann and Kausbauer boundary representation theory were used.