Baykasoğlu, Adil

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Profile URL
https://gcris.yasar.edu.tr/handle/123456789/12816
Name Variants
Adil Baykasoğlu
Job Title
Prof.Dr.
Email Address
Main Affiliation
01. Yaşar Üniversitesi
Status
Former Staff
Website
ORCID ID
Scopus Author ID
Turkish CoHE Profile ID
Google Scholar ID
zj6t4sYAAAAJ
WoS Researcher ID
G-4311-2010

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Documents

231

Citations

7797

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Scholarly Output

2

Articles

2

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0/0

Supervised MSc Theses

0

Supervised PhD Theses

0

WoS Citation Count

16

Scopus Citation Count

21

Patents

0

Projects

0

WoS Citations per Publication

8.00

Scopus Citations per Publication

10.50

Open Access Source

0

Supervised Theses

0

JournalCount
Industrial Management & Data Systems2
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  • Thumbnail Image
    Article
    Citation - WoS: 16
    Citation - Scopus: 21
    Complexity and performance measurement for retail supply chains
    (EMERALD GROUP PUBLISHING LTD, 2019) Esra Ekinci; Adil Baykasoglu; Ekinci, Esra; Baykasoğlu, Adil
    Purpose The purpose of this paper is to present how complexity on retail supply chains should be recognized and its relationship with the performance. Different supply chain structures and planning horizons have been analyzed to support practitioners taking action on the short mid and long terms. Confronted complexity in the supply chain has been categorized as system perceived and value adding. This would also help practitioners to understand the sources of the complexity and if the complexity is useful for the system or not. Design/methodology/approach Three different retail supply chain scenarios - each concentrating on different planning horizons - have been simulated on system dynamics software STELLA. Using the new classification scheme for complexity and suggested performance metrics a multi-perspective analysis has been performed on the STELLA output. Findings The results and the methodology can be easily applicable in practice to support decision-making process and to answer what-if type scenario analysis on systems design and configuration. Using the selected complexity metrics complexity of the system considering time factor - static and dynamic - and different information levels - system perceived and value adding - has been evaluated. Used complexity metrics indicate the problematic areas in the systems to be distinguished. Originality/value This paper uses system dynamics modeling in retail supply chains to derive insight about dynamic behavior and to represent the complex interactions and a new classification scheme for system complexity.
  • Thumbnail Image
    Article
    Complexity and performance measurement for retail supply chains
    (Emerald Group Holdings Ltd., 2019) Esra Ekinci; Adil Baykasoğlu
    Purpose: The purpose of this paper is to present how complexity on retail supply chains should be recognized and its relationship with the performance. Different supply chain structures and planning horizons have been analyzed to support practitioners taking action on the short mid and long terms. Confronted complexity in the supply chain has been categorized as system perceived and value adding. This would also help practitioners to understand the sources of the complexity and if the complexity is useful for the system or not. Design/methodology/approach: Three different retail supply chain scenarios – each concentrating on different planning horizons – have been simulated on system dynamics software STELLA. Using the new classification scheme for complexity and suggested performance metrics a multi-perspective analysis has been performed on the STELLA output. Findings: The results and the methodology can be easily applicable in practice to support decision-making process and to answer “what-if” type scenario analysis on systems design and configuration. Using the selected complexity metrics complexity of the system considering time factor – static and dynamic – and different information levels – system perceived and value adding – has been evaluated. Used complexity metrics indicate the problematic areas in the systems to be distinguished. Originality/value: This paper uses system dynamics modeling in retail supply chains to derive insight about dynamic behavior and to represent the complex interactions and a new classification scheme for system complexity. © 2021 Elsevier B.V. All rights reserved.