Özkil, Altan

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A., Özkil
O., Altan
Ozkil, Altan
Ö., Altan
Altan, Ozkil
Altan Özkil
Ö.,Altan
A.,Özkil
A., Ozkil
Ozkil,A.
Altan, Özkil
Özkil,A.
A.,Ozkil
O.,Altan
Ozkil,Altan
Ozkil A.
Özkil, Altan
Job Title
Doktor Öğretim Üyesi
Email Address
altan.ozkil@atilim.edu.tr
Main Affiliation
Aviation Management
Status
Website
Scopus Author ID
Turkish CoHE Profile ID
Google Scholar ID
WoS Researcher ID

Sustainable Development Goals

9

INDUSTRY, INNOVATION AND INFRASTRUCTURE
INDUSTRY, INNOVATION AND INFRASTRUCTURE Logo

1

Research Products

5

GENDER EQUALITY
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0

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2

ZERO HUNGER
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0

Research Products

4

QUALITY EDUCATION
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1

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11

SUSTAINABLE CITIES AND COMMUNITIES
SUSTAINABLE CITIES AND COMMUNITIES Logo

0

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17

PARTNERSHIPS FOR THE GOALS
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1

Research Products

16

PEACE, JUSTICE AND STRONG INSTITUTIONS
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0

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3

GOOD HEALTH AND WELL-BEING
GOOD HEALTH AND WELL-BEING Logo

0

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12

RESPONSIBLE CONSUMPTION AND PRODUCTION
RESPONSIBLE CONSUMPTION AND PRODUCTION Logo

0

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15

LIFE ON LAND
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0

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8

DECENT WORK AND ECONOMIC GROWTH
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1

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14

LIFE BELOW WATER
LIFE BELOW WATER Logo

1

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10

REDUCED INEQUALITIES
REDUCED INEQUALITIES Logo

1

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7

AFFORDABLE AND CLEAN ENERGY
AFFORDABLE AND CLEAN ENERGY Logo

0

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1

NO POVERTY
NO POVERTY Logo

2

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6

CLEAN WATER AND SANITATION
CLEAN WATER AND SANITATION Logo

0

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13

CLIMATE ACTION
CLIMATE ACTION Logo

0

Research Products
This researcher does not have a Scopus ID.
This researcher does not have a WoS ID.
Scholarly Output

13

Articles

6

Views / Downloads

4/0

Supervised MSc Theses

0

Supervised PhD Theses

5

WoS Citation Count

7

Scopus Citation Count

5

WoS h-index

2

Scopus h-index

1

Patents

0

Projects

0

WoS Citations per Publication

0.54

Scopus Citations per Publication

0.38

Open Access Source

3

Supervised Theses

5

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JournalCount
2019 2nd International Conference on Engineering Technology and its Applications, IICETA 2019 -- 2nd International Conference on Engineering Technology and its Applications, IICETA 2019 -- 27 August 2019 through 28 August 2019 -- Al-Najef -- 1581521
ACM International Conference Proceeding Series -- 11th International Conference on Information Communication and Management, ICICM 2021 -- 12 August 2021 through 14 August 2021 -- Virtual, Online -- 1748141
European Journal of Operational Research1
İstatistikçiler Dergisi: İstatistik ve Aktüerya1
Journal of Electronic Testing1
Current Page: 1 / 2

Scopus Quartile Distribution

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Scholarly Output Search Results

Now showing 1 - 1 of 1
  • Article
    Citation - WoS: 4
    Citation - Scopus: 4
    A Multimodal, Multicommodity, and Multiperiod Planning Problem for Coal Distribution To Poor Families
    (Elsevier Science inc, 2020) Akgun, Ibrahim; Ozkil, Altan; Goren, Selcuk
    Tackling poverty has been one of the greatest global challenges and a prerequisite to sustainable development of countries. Countries implement nationally appropriate social protection systems and measures to address poverty. This paper addresses an aid system adopted by the government in Turkey where significant amounts of coal is distributed to poor families each year. The objective of the coal aid system is to complete the delivery of coal to poor families by the start of winter. However, an analysis of the data from previous years indicates that the distribution to many families cannot be completed on time. This results from the fact that planning is done manually and by trial-and-error as there is no system that can be used for distribution planning. This paper describes the planning problem encountered and develops a mathematical model to solve it. The proposed model is a multimodal, multicommodity, and multiperiod linear programming (LP) model. The model can be used to develop and update a distribution plan as well as to answer several what-if questions with regard to capacities, time constraints, and so forth. The model is solved using CPLEX for several problem instances obtained under different scenarios using data for the year 2012. The results show that at least 9% cost savings and about 40% decrease in distribution completion time can be achieved when the model is used. We analyze scenario results qualitatively and quantitatively and provide several insights to the decision makers. As a part of quantitative analysis, we develop regression models to predict optimal costs based on several factors. Our main contribution is to provide an efficient and effective tool to handle a large-scale real-world problem. The model has also helped to prove that the organization responsible for distribution planning may move from the current planning practice to an all-encompassing top-down approach.