Çelebi, Neşe

Profile Picture
Profile URL
https://hdl.handle.net/20.500.14411/8248
Name Variants
Celebi, N
Celebi, Nes'e
Çelebi, Neş'e
N.,Çelebi
Celebi,N.
Çelebi, Neşe
C., Nese
Ç.,Neşe
Neşe, Çelebi
N.,Celebi
C.,Nese
Nese, Celebi
Çelebi,N.
N., Celebi
Celebi, Nese
Job Title
Profesör Doktor
Email Address
Main Affiliation
Industrial Engineering
Status
Former Staff
Website
ORCID ID
Scopus Author ID
Turkish CoHE Profile ID
Google Scholar ID
WoS Researcher ID

Sustainable Development Goals

NO POVERTY1
NO POVERTY
0
Research Products
ZERO HUNGER2
ZERO HUNGER
0
Research Products
GOOD HEALTH AND WELL-BEING3
GOOD HEALTH AND WELL-BEING
0
Research Products
QUALITY EDUCATION4
QUALITY EDUCATION
0
Research Products
GENDER EQUALITY5
GENDER EQUALITY
0
Research Products
CLEAN WATER AND SANITATION6
CLEAN WATER AND SANITATION
0
Research Products
AFFORDABLE AND CLEAN ENERGY7
AFFORDABLE AND CLEAN ENERGY
0
Research Products
DECENT WORK AND ECONOMIC GROWTH8
DECENT WORK AND ECONOMIC GROWTH
0
Research Products
INDUSTRY, INNOVATION AND INFRASTRUCTURE9
INDUSTRY, INNOVATION AND INFRASTRUCTURE
1
Research Products
REDUCED INEQUALITIES10
REDUCED INEQUALITIES
0
Research Products
SUSTAINABLE CITIES AND COMMUNITIES11
SUSTAINABLE CITIES AND COMMUNITIES
0
Research Products
RESPONSIBLE CONSUMPTION AND PRODUCTION12
RESPONSIBLE CONSUMPTION AND PRODUCTION
0
Research Products
CLIMATE ACTION13
CLIMATE ACTION
0
Research Products
LIFE BELOW WATER14
LIFE BELOW WATER
0
Research Products
LIFE ON LAND15
LIFE ON LAND
0
Research Products
PEACE, JUSTICE AND STRONG INSTITUTIONS16
PEACE, JUSTICE AND STRONG INSTITUTIONS
0
Research Products
PARTNERSHIPS FOR THE GOALS17
PARTNERSHIPS FOR THE GOALS
0
Research Products
This researcher does not have a Scopus ID.
This researcher does not have a WoS ID.
Scholarly Output

9

Articles

4

Views / Downloads

36/623

Supervised MSc Theses

0

Supervised PhD Theses

3

WoS Citation Count

24

Scopus Citation Count

60

Patents

0

Projects

0

WoS Citations per Publication

2.67

Scopus Citations per Publication

6.67

Open Access Source

2

Supervised Theses

3

JournalCount
Advances in Environmental Biology1
Expert Systems with Applications1
Journal Europeen des Systemes Automatises1
Proceedings of the 15th IASTED International Conference on Applied Simulation and Modelling -- 15th IASTED International Conference on Applied Simulation and Modelling -- 26 June 2006 through 28 June 2006 -- Rhodes -- 685981
Proceedings of the IASTED International Conference on Artificial Intelligence and Soft Computing -- Proceedings of the Seventh IASTED International Conference on Artificial Intelligence and Soft Computing -- 14 July 2003 through 16 July 2003 -- Banff -- 624771
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Type: Article

Scholarly Output Search Results

Now showing 1 - 4 of 4
  • Thumbnail Image
    Article
    Demographic Features of Turkish Literature Audiences and Applied Analysis of the Factors Affecting Their Reading Preferences
    (American-Eurasian Network for Scientific Information, 2014) Poyraz,Y.; Korkmaz,M.; Yücel,A.S.; Aras,G.; Çelebi,N.
    The purpose of this study is to determine factors affecting reading preferences in parallel with the demographic features of Turkish literature audiences. The study lasted approximately for 7 months. (N=650) individuals attended the study in total. The universe of the study is Turkey while the sample of the study is composed of 8 different provinces. These provinces are Istanbul, Ankara, Izmir, Bursa, Kocaeli, Sakarya, Trabzon and Gaziantep. A questionnaire form whose reliability and validity had been ensured before and which was composed of 5 point Likert scale was used in the study. The questionnaire form was reformed in accordance with the topic of the study, it was subjected to validity and reliability test and it was carried into main practice through taking views of experts. Data acquired from the results of main practice was analyzed by using SPSS 18.0 packet program and the value of 0.924 was acquired as Cronbach’s Alpha co-efficient. This value indicates that the measuring tool used in this study is quite reliable. The questionnaire is composed of two sections. In the first section, there are questions with regard to determine demographic features of the participants while in the second section, there are scaled questions composed of 120 items. 0.05 of significance level was taken into account among variables in terms of relations and differences. Methods such as different statistics anova, factor and hypothesis tests were applied in the analysis. Moreover, 4 different literary works were mentioned in the study so as to determine attitudes and behaviors of the participants towards literary works. Opinions of the participants were demanded about novels such as Intibah (Rebirth), Araba Sevdasi (Ambition for Car), Mai ve Siyah (Blue and Black) and Çalikusu (The Wren). At the end of the study, it was found out that the participants followed academic publications more frequently, the use of computer and internet had an effect on reading e-book and up-to-date books were read more than those books written in a foreign or ancient language (Ottoman Turkish). Furthermore, it was determined that education and age variables of the participants had an effect on reading habits while gender, age and education variables had an effect in some reading factors. © 2014 AENSI Publisher All rights reserved.
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    Article
    Citation - WoS: 13
    Citation - Scopus: 29
    DEMAND FORECASTING: A COMPARISON BETWEEN THE HOLT-WINTERS, TREND ANALYSIS AND DECOMPOSITION MODELS
    (Univ Osijek, Tech Fac, 2017) Tirkes, Guzin; Guray, Cenk; Celebi, Nes'e
    In food production industry, forecasting the timing of demands is crucial in planning production scheduling to satisfy customer needs on time. In the literature, several statistical models have been used in demand forecasting in Food and Beverage (F&B) industry and the choice of the most suitable forecasting model remains a central concern. In this context, this article aims to compare the performances between Trend Analysis, Decomposition and Holt-Winters (HW) models for the prediction of a time series formed by a group of jam and sherbet product demands. Data comprised the series of monthly sales from January 2013 to December 2014 obtained from a private company. As performance measures, metric analysis of the Mean Absolute Percentage Error (MAPE) is used. In this study, the HW and Decomposition models obtained better results regarding the performance metrics.
  • Thumbnail Image
    Article
    Citation - Scopus: 5
    Developing a Multi-Stage Production Planning and Scheduling Model for a Small-Size Food and Beverage Company
    (International Information and Engineering Technology Association, 2021) Tirkeş,G.; Çelebi,N.; Güray,C.
    A great deal of research has been undertaken in recent years related to facility capacity expansion and production planning problems under deterministic and stochastic constraints in the literature. However, only a small portion of this work directly addresses the issues faced by the food and beverage industry, especially in small-sized enterprises. In this study, a Mixed-Integer Linear Programming model (MILP) is developed for production planning and scheduling decisions for a small-size company producing syrup and jam products. The main constraint is that the multiple syrup and jam production lines in the model share the same limited-capacity module designed for inventory planning. To this end, the present model offers an efficient solution for executing a multi-product, multi-period production line by finding the most satisfactory strategy to match the right product with the useable capacity leading to profit maximization. The present approach is capable of coping with varying demands by offering a detailed costing procedure and implementing an effective inventory model. © 2021 Lavoisier. All rights reserved.
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    Article
    Citation - WoS: 11
    Citation - Scopus: 22
    Ore-Age: a Hybrid System for Assisting and Teaching Mining Method Selection
    (Pergamon-elsevier Science Ltd, 2003) Guray, C; Celebi, N; Atalay, V; Pasamehmetoglu, AG
    Mining method selection is among the most critical and problematic points in mining engineering profession. Choosing a suitable method for a given ore-body is very important for the economics, safety and the productivity of the mining work. In the past studies there are attempts to build up a systematic approach to help the engineers to make this selection. But, these approaches work based on static databases and fail in inserting the intuitive feelings and engineering judgments of experienced engineers to the selection process. In this study, a system based on 13 different expert systems and one interface agent is developed, to make mining method selection for the given ore-bodies. The agent Ore-Age, to follow his goal of supplying the maximum assistance to engineers in selecting the most suitable method for a specific ore-body, tries to learn the experiences of the experts he has faced. After this learning process the knowledge base is evolved to include these experiences, making the system more efficient and intuitive in mining method selection work. To realize the above goal, the system's tutoring procedure is executed by the agent, in case an inexperienced user enters the system, to complete his/her missing knowledge about mining method selection. (C) 2002 Elsevier Science Ltd. All rights reserved.