Erdem, Mehmet

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Profile URL
https://hdl.handle.net/20.500.14411/8158
Name Variants
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
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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

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17

PARTNERSHIPS FOR THE GOALS
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0

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5

GENDER EQUALITY
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0

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16

PEACE, JUSTICE AND STRONG INSTITUTIONS
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0

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8

DECENT WORK AND ECONOMIC GROWTH
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0

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4

QUALITY EDUCATION
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0

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6

CLEAN WATER AND SANITATION
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0

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7

AFFORDABLE AND CLEAN ENERGY
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2

Research Products

10

REDUCED INEQUALITIES
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0

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11

SUSTAINABLE CITIES AND COMMUNITIES
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2

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9

INDUSTRY, INNOVATION AND INFRASTRUCTURE
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1

NO POVERTY
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0

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3

GOOD HEALTH AND WELL-BEING
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0

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12

RESPONSIBLE CONSUMPTION AND PRODUCTION
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1

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13

CLIMATE ACTION
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2

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15

LIFE ON LAND
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0

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This researcher does not have a Scopus ID.
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Scholarly Output

4

Articles

4

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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
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Author: Bulkan, S.

Scholarly Output Search Results

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  • Thumbnail Image
    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.