Ercan, Şevkinaz

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Job Title
Prof.Dr.
Email Address
Main Affiliation
01.01.06.02. İşletme Bölümü
Status
Former Staff
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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
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GOOD HEALTH AND WELL-BEING3
GOOD HEALTH AND WELL-BEING
0
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QUALITY EDUCATION4
QUALITY EDUCATION
0
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GENDER EQUALITY5
GENDER EQUALITY
0
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CLEAN WATER AND SANITATION6
CLEAN WATER AND SANITATION
0
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AFFORDABLE AND CLEAN ENERGY7
AFFORDABLE AND CLEAN ENERGY
1
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DECENT WORK AND ECONOMIC GROWTH8
DECENT WORK AND ECONOMIC GROWTH
0
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INDUSTRY, INNOVATION AND INFRASTRUCTURE9
INDUSTRY, INNOVATION AND INFRASTRUCTURE
0
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REDUCED INEQUALITIES10
REDUCED INEQUALITIES
0
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SUSTAINABLE CITIES AND COMMUNITIES11
SUSTAINABLE CITIES AND COMMUNITIES
0
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RESPONSIBLE CONSUMPTION AND PRODUCTION12
RESPONSIBLE CONSUMPTION AND PRODUCTION
0
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CLIMATE ACTION13
CLIMATE ACTION
0
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LIFE BELOW WATER14
LIFE BELOW WATER
0
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LIFE ON LAND15
LIFE ON LAND
0
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PEACE, JUSTICE AND STRONG INSTITUTIONS16
PEACE, JUSTICE AND STRONG INSTITUTIONS
0
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PARTNERSHIPS FOR THE GOALS17
PARTNERSHIPS FOR THE GOALS
0
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Documents

2

Citations

20

h-index

2

Documents

5

Citations

19

Scholarly Output

2

Articles

2

Views / Downloads

0/1

Supervised MSc Theses

0

Supervised PhD Theses

0

WoS Citation Count

15

Scopus Citation Count

20

Patents

0

Projects

0

WoS Citations per Publication

7.50

Scopus Citations per Publication

10.00

Open Access Source

1

Supervised Theses

0

JournalCount
Central European Journal of Operations Research1
Gazi Üniversitesi Mühendislik-Mimarlık Fakültesi Dergisi1
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Scholarly Output Search Results

Now showing 1 - 2 of 2
  • Article
    Citation - WoS: 6
    Citation - Scopus: 10
    Evaluating Chevron aisle design in unit load warehouses with multiple pickup and deposit points
    (GAZI UNIV FAC ENGINEERING ARCHITECTURE, 2018) Omer Ozturkoglu; Yeliz Kocaman; Sevkinaz Gumusoglu; Kocaman, Yeliz; Ozturkoglu, Omer; Gümüşoğlu, Şevkinaz
    Warehousing is becoming more important in the supply chain management than before because of increasing competitiveness in market. Efficient warehouse management has become a critical factor that affects customer satisfaction. Especially managing the lead-time in a warehouse for preparation of a customer order has become one of the critical issues for warehouse managers. Order delivery time in a warehouse is affected by all warehouse activities such as unloading trucks storing and picking products packaging and shipping. The most critical activities are storing and picking because they are the most time consuming activities. Travel time for storing and picking activities depends on aisle layout of the warehouse. Therefore aisle design in a warehouse becomes a research field for researchers. In this study the effect of multiple P&D point on the performance of Chevron design under various warehouse sizes and under different material flow policies is investigated. A mathematical model is constructed in continuous warehouse space and then the expected travel time in a discrete warehouse is calculated. As a result Chevron design outperforms the equivalent traditional design when there are a few number of P&D points and central P&D points have higher material flows than others in warehouse that have 3/1 width/height shape ratio.
  • Article
    Citation - WoS: 9
    Citation - Scopus: 10
    Aisle designs in unit-load warehouses with different flow policies of multiple pickup and deposit points
    (Springer Science and Business Media Deutschland GmbH, 2021) Yeliz Kocaman; Ömer Öztürkoǧlu; Şevkinaz Gümüşoğlu; Kocaman, Yeliz; Öztürkoğlu, Ömer; Gümüşoğlu, Şevkinaz
    This study focuses on investigating the best layouts of a unit-load warehouse for single-command operation. We propose a model for unit-load warehouses having a single cross aisle and multiple pickup & deposit (P&D) points located at the front side of the warehouse. The model is constructed in continuous space for single-command travel and allows the cross aisle and picking aisles to take any angle between 0 and π. We then search for the best aisle arrangements that minimize the expected single-command distance from a given varying number of P&D points under randomized storage policy. Additionally we introduce three material flow policies to investigate the effect of usage density of P&D points on the design. We also investigate the effects of shape ratio on angles of aisles in the best designs. Last we also solved a problem instance with unsymmetrically allocated P&D points to show how to use our proposed models. Therefore we present that warehouses with width to depth ratio 3:1 are good for high number of P&D points. We also show that the best designs provide more savings in travel over the equivalent traditional design if flows are more concentrated around the central P&D point. The best-found designs also present that the single-command distance can be reduced to 8–20% based on the characteristics of the unit-load warehouse. © 2021 Elsevier B.V. All rights reserved.