Erdem, Mehmet

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Erdem, M.
Erdem,M.
Erdem, Mehmet
M., Erdem
E.,Mehmet
Mehmet, Erdem
E., Mehmet
M.,Erdem
Job Title
Doktor Öğretim Üyesi
Email Address
mehmet.erdem@atilim.edu.tr
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

2

ZERO HUNGER
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0

Research Products

14

LIFE BELOW WATER
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0

Research Products

17

PARTNERSHIPS FOR THE GOALS
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0

Research Products

5

GENDER EQUALITY
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0

Research Products

16

PEACE, JUSTICE AND STRONG INSTITUTIONS
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0

Research Products

8

DECENT WORK AND ECONOMIC GROWTH
DECENT WORK AND ECONOMIC GROWTH Logo

0

Research Products

4

QUALITY EDUCATION
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0

Research Products

6

CLEAN WATER AND SANITATION
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0

Research Products

7

AFFORDABLE AND CLEAN ENERGY
AFFORDABLE AND CLEAN ENERGY Logo

2

Research Products

10

REDUCED INEQUALITIES
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0

Research Products

11

SUSTAINABLE CITIES AND COMMUNITIES
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2

Research Products

9

INDUSTRY, INNOVATION AND INFRASTRUCTURE
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0

Research Products

1

NO POVERTY
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0

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3

GOOD HEALTH AND WELL-BEING
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0

Research Products

12

RESPONSIBLE CONSUMPTION AND PRODUCTION
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1

Research Products

13

CLIMATE ACTION
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2

Research Products

15

LIFE ON LAND
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0

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

4

Articles

4

Views / Downloads

0/0

Supervised MSc Theses

0

Supervised PhD Theses

0

WoS Citation Count

170

Scopus Citation Count

193

WoS h-index

3

Scopus h-index

3

Patents

0

Projects

0

WoS Citations per Publication

42.50

Scopus Citations per Publication

48.25

Open Access Source

2

Supervised Theses

0

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JournalCount
Journal of Cleaner Production1
Pamukkale Üniversitesi Sosyal Bilimler Enstitüsü Dergisi1
South African Journal of Industrial Engineering1
Sustainable Cities and Society1
Current Page: 1 / 1

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Scholarly Output Search Results

Now showing 1 - 3 of 3
  • Article
    Citation - WoS: 17
    Citation - Scopus: 22
    A Two-Stage Solution Approach for the Large-Scale Home Healthcare Routeing and Scheduling Problem
    (Southern African inst industrial Engineering, 2017) Erdem, M.; Bulkan, S.
    The purpose of this study is to introduce a two-stage solution approach for a large-scale home healthcare routeing and scheduling problem (HHCRSP). In the first part of the two-stage solution approach, a cluster-assign algorithm is employed, based on the home location and the time to obtain feasible clusters. In the second stage, using these clusters, route construction heuristics start to create schedules and routes, taking the side constraints of the model into consideration. Using the novelty of this two-stage solution approach, higher diversification is achieved with a series of newly-developed cross movement strategies. The computational results show that our solution approach offers certain advantages, such as an increase in the efficient use of human resources, and a decrease in the working time of nurses.
  • Article
    TEDARİK ZİNCİRİ PERFORMANSININ ENTEGRE İKİ AŞAMALI KÜMELEME VE ARALIK TİP-2 BULANIK TOPSİS YÖNTEMİ KULLANARAK DEĞERLENDİRİLMESİ: BİR VAKA ÇALIŞMASI
    (2019) Erdem, Mehmet; Erkan, Turan Erman
    Tedarik zinciri (TZ) yönetiminde birçok araştırmacı ve kuruluş sistemin performansını iyileştirmek için farklı perspektiflerde çaba sarfetmektedir. Farklı sektörlerde TZ performansını değerlendirmek için çeşitli metrikler ve karar verme metodolojileri önerilmiştir. Bu çalışmada, TZ performans değerlendirme süreçleri için bütünleşik iki aşamalı kümeleme ve aralık tip-2 bulanık TOPSIS yöntemi önerilmektedir. Önerilen bu yaklaşımın ilk adımında, iki aşamalı kümeleme analizi ile sektörlerin homojen olarak bölümlendirilmesi ve aynı zamanda problemin boyutunun azaltılması sağlanmaktadır. İkinci adımda, bulanık TOPSIS ile oluşturulan kümeler değerlendirilmektedir. Yaklaşımın sonuçları, örgütsel etkinlik ve şirket performansı gibi konularda makro bakış açısı sağlamaktadır. Ayrıca sonuçlar, her şirketin bulunduğu kümelerdeki rakipleri arasında ve diğer sektörlerdeki rakiplere karşı kendini değerlendirme fırsatı sağlamaktadır.
  • Article
    Citation - WoS: 92
    Citation - Scopus: 103
    Optimization of Electric Vehicle Recharge Schedule and Routing Problem With Time Windows and Partial Recharge: a Comparative Study for an Urban Logistics Fleet
    (Elsevier, 2021) Bac, Ugur; Baç, Uğur; Erdem, Mehmet; Erdem, Mehmet; Baç, Uğur; Erdem, Mehmet; Industrial Engineering; Industrial Engineering
    The use of electric vehicles (EVs) is becoming more and more widespread and the interest in these vehicles is increasing each day. EVs promise to emit less air pollution and greenhouse gas (GHG) emissions with lower operational costs when compared to fossil fuel-powered vehicles. However, many factors such as the limited mileage of these vehicles, long recharging times, and the sparseness of available recharging stations adversely affect the preferability of EVs in industrial and commercial logistics. Effective planning of EV routes and recharge schedules is vital for the future of the logistics sector. This paper proposes an electric vehicle routing problem with the time windows (EVRPTW) framework, which is an extension of the well-known vehicle routing problem (VRP). In the proposed model, partial recharging is considered for the EVRPTW with the multiple depots and heterogeneous EV fleet and multiple visits to customers. While routing a set of heterogeneous EVs, their limited ranges, interdependent on the battery capacity, should be taken into consideration and all the customers' deliveries should be completed within the predetermined time windows. To deal with this problem, a series of neighbourhood operators are developed for the local search process in the variable neighbourhood search (VNS) and variable neighbourhood descent (VND) heuristics. The proposed solution algorithms are tested in large-scale instances. Results indicate that the proposed heuristics perform well as to this problem in terms of optimizing recharging times, idle waiting times, overtime of operators, compliance with time windows, number of vehicles, depots, and charging stations used.