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Permanent URI for this collectionhttps://hdl.handle.net/20.500.14411/18

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Publisher: search.filters.publisher.Univ Osijek, Tech Fac

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Now showing 1 - 10 of 30
  • Article
    STUDY ON CLOUD COMPUTING PERCEPTION OF TURKISH IT SECTOR
    (Univ Osijek, Tech Fac, 2016) Okan, Aylin Akca; Hacaloglu, Tuna; Yazici, Ali
    In this paper an empirical study was carried out to study the Cloud Computing (CC) perception in Turkey. To this extent this study intends to determine the perception of Information Technology decision makers such as Chief Executive Officers and Chief Information Officers by means of a survey by questionnaire approach to explore 98 both public and private IT executives' understandings and concerns about CC. The survey aims to determine how CC is perceived by public or private organizations that are already involved in the e-transformation process. Major results of the study are as follows: both public and private sector executives have positive perception over adoption of CC, participants think that especially web, e-mail, data storage and process management applications are adequate for CC. Lack of well-educated and experienced staff is found to be the common barrier on adopting CC by both public and private sector participants.
  • Article
    Solving a Mixed Purchasing Process Problem in Retail Market: a Pilot Study in Turkey
    (Univ Osijek, Tech Fac, 2014) Erkan, Turan Erman; Rouyendegh, Babak Daneshvar; Salar, Menekse; Industrial Engineering; Computer Engineering
    The details of mixed purchasing processes which consist of some of sales and marketing processes in a retail market are discussed in this pilot study. The purpose of this pilot study is to analyse purchasing AS-IS processes, to make benchmarking to the competitors for doing comparison, to determine criteria for alternative purchasing AS-IS processes, to develop TO-BE processes, to select the best suitable alternative by the help of BPR (Business Process Reengineering) Methodology, Decision Tree Analysis and Weighted Objective Method and finally, TO-BE processes of the Retail Market are mapped.
  • Article
    Citation - WoS: 1
    Citation - Scopus: 2
    Potential of Support-Vector Regression for Forecasting Stream Flow
    (Univ Osijek, Tech Fac, 2014) Radzi, Mohd Rashid Bin Mohd; Shamshirband, Shahaboddin; Aghabozorgi, Saeed; Misra, Sanjay; Akib, Shatirah; Kiah, Laiha Mat; Kiah, Miss Laiha Mat; Computer Engineering
    Stream flow is an important input for hydrology studies because it determines the water variability and magnitude of a river. Water resources engineering always deals with historical data and tries to estimate the forecasting records in order to give a better prediction for any water resources applications, such as designing the water potential of hydroelectric dams, estimating low flow, and maintaining the water supply. This paper presents three soft-computing approaches for dealing with these issues, i.e. artificial neural networks (ANNs), adaptive-neuro-fuzzy inference systems (ANFISs), and support vector machines (SVMs). Telom River, located in the Cameron Highlands district of Pahang, Malaysia, was used in making the estimation. The Telom River's daily mean discharge records, such as rainfall and river-level data, were used for the period of March 1984-January 2013 for training, testing, and validating the selected models. The SVM approach provided better results than ANFIS and ANNs in estimating the daily mean fluctuation of the stream's flow.
  • Article
    Citation - WoS: 13
    Citation - Scopus: 16
    Sector Selection for Erp Implementation To Achieve Most Impact on Supply Chain Performance by Using Ahp-Topsis Hybrid Method
    (Univ Osijek, Tech Fac, 2014) Rouyendegh, Babak Daneshvar; Bac, Ugur; Erkan, Turan Erman; Industrial Engineering; Computer Engineering
    Recently, studies about the Enterprise Resource Planning (ERP) have been increased and this research area has attracted more attention. Especially, in the global competition environment, enterprises have to focus on their Information Systems ( IS) performance to have a competitive advantage; implementing an ERP system and improving the effectiveness of the system is the only way. However every sector reacts to ERP implementation differently. Purpose of this study is to rank the sectors according to their performance increments after successful ERP implementations by using AHP-TOPSIS hybrid method. As a result, general structure of Turkish companies will be pictured and the sectors which have the most chance to improve their performance by utilizing an ERP system will be defined. These findings will help the companies to plan the implementation process more precisely and help the managers of these companies to define their expectations more clearly. A numerical example is given to clarify the main developed result in this paper.
  • Article
    Citation - WoS: 17
    Citation - Scopus: 23
    Developing an Integrated Ahp and Intuitionistic Fuzzytopsis Methodology
    (Univ Osijek, Tech Fac, 2014) Rouyendegh, Babak Daneshvar; Computer Engineering
    This research gives an overview of the Analytic Hierarchy Process (AHP) and Intuitionistic FuzzyTOPSIS (IFT) methods. This study deals with an evaluation methodology based on the AHP-IFT where the uncertainties are handled with linguistic values. First, the supplier selection problem is formulated using AHP and, then, it is used to determine the weights of the criteria. Later, IFT is used to obtain full-ranking among alternatives based on opinion of the Decision Makers (DMs). The present model provides an accurate and easy classification in supplier attributes by those that have been prioritized in the hybrid model. A numerical example is given to clarify the main developed result in this paper.
  • Article
    Citation - WoS: 22
    Citation - Scopus: 30
    Selecting the Best Warehouse Data Collecting System by Using Ahp and Fahp Methods
    (Univ Osijek, Tech Fac, 2014) Erkan, Turan Erman; Can, Gulin Feryal; Industrial Engineering
    Recently companies have begun to use their storage effectively to attain leadership in the market environment, utilizing Barcode and RFID (Radio Frequency Identification) systems for warehouse management. In this study AHP (Analytic Hierarchy Process) and FAHP (Fuzzy Analytic Hierarchy Process) are used to choose between Barcode and RFID systems for the company warehouse data collection system. This decision is affected by four criteria which are: cost, functionality, sustainability and performance. The barcode system was preferred by 68 % and RFID was preferred by 32 % according to AHP. For FAHP, barcode system was preferred by 72 % and RFID was preferred by 28 %. Consequently AHP values are consistent with FAHP values. Finally barcode system is selected for the company's warehouse data collection system and FAHP is found to be relatively more sufficient in terms of description of this decision-making process because of its fuzziness and vagueness compared to AHP method.
  • Article
    Citation - WoS: 2
    Constraint Programming for Optimal Design of Architectures for Water Distribution Tanks and Reservoirs: a Case Study
    (Univ Osijek, Tech Fac, 2014) Soto, Ricardo; Crawford, Broderick; Misra, Sanjay; Monfroy, Eric; Palma, Wenceslao; Castro, Carlos; Paredes, Fernando
    A water distribution system is an essential component of any urban infrastructure system. Its design is commonly a hard task mainly due to the presence of several complex interrelated parameters. Among others, some parameters to study are the water demand, pressure requirements, topography, location of resources, system reliability, and energy uses. In this paper, we focus on a real case of water distribution system in order to minimize installation costs by satisfying the given system requirements. We solve the problem by using state-of-the-art Constraint Programming techniques combined with Interval Analysis for rigorously handling continuous decision variables. Experimental results demonstrate the feasibility of the proposed approach, where the global optimum is reached in all instances and in reasonable runtime.
  • Article
    Citation - WoS: 3
    Citation - Scopus: 7
    Erp System Implementation in Fmcg Sector
    (Univ Osijek, Tech Fac, 2010) Mishra, Alok; Mishra, Deepti; Computer Engineering; Software Engineering
    Today's businesses have become extremely complex. Enterprise Resource Planning (ERP) systems can help enterprises to reduce operating costs, generate more accurate forecasts of demand, accelerate production cycles and enhance customer service. This paper reports challenges, opportunities and outcome of ERP implementation in a top Fast Moving Consumer Goods (FMCG) house in South-East Asia with diversified interests in varied businesses. This study will facilitate the understanding of the transition, constraints and implementation of ERP in this sector and also provide guidelines from lessons learned in this regard to researchers and practising managers.
  • Article
    Citation - WoS: 5
    Citation - Scopus: 5
    Managing Requirements in Market-Driven Software Project: Agile Methods View
    (Univ Osijek, Tech Fac, 2010) Mishra, Deepti; Mishra, Alok; Computer Engineering; Software Engineering
    Time-to-market and insufficient initial requirements are two significant challenges that make managing requirements for market-driven software projects different from custom-made software projects. These challenges can be resolved by using agile software development methodologies for market-driven software development as agile methods put emphasis on a dynamic approach for requirement engineering which works closely with an iterative release cycle. In this study, dynamic requirement engineering approach of Agile methods was used for the successful implementation of market-driven complex software project.
  • Article
    Citation - WoS: 44
    Citation - Scopus: 70
    Selection of Academic Staff Using the Fuzzy Analytic Hierarchy Process (fahp): a Pilot Study
    (Univ Osijek, Tech Fac, 2012) Rouyendegh, Babak Daneshvar; Erkan, Turan Erman; Industrial Engineering; Computer Engineering
    Evaluating candidates' suitability for a selection of academic staff is an important tool for Human Resources Management (HRM) to select the most suitable candidates for required posts. There are various methods regarding the selection of staff in the field. As there are increasing improvements in the field of education, universities around the world demand high quality and professional academic staffs. The present paper examines a fuzzy Analytic Hierarchy Process (FAHP) for selecting the most suitable academic staff, where five candidates under ten different sub-criteria are evaluated and prioritised. The FAHP method adopted here uses Triangular Fuzzy Numbers (TFN). The inability of AHP to deal with the impression and subjectiveness in the pair-wise comparison process has been improved in the FAHP. Instead of a crisp value, the FAHP generates a range of values to incorporate the decision-makers uncertainty. Also, a real case study is presented.