Yildiz, Beste

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Profile URL
https://gcris.yasar.edu.tr/handle/123456789/12774
Name Variants
Job Title
Araş.Gör.
Email Address
Main Affiliation
01.01.09.03. Endüstri Mühendisliği Bölümü
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Former Staff
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Scopus Author ID
57212210592
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Scholarly Output

2

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WoS Citation Count

1

Scopus Citation Count

1

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WoS Citations per Publication

0.50

Scopus Citations per Publication

0.50

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0

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0

JournalCount
19th International Symposium for Production Research ISPR 20191
21st International Symposium on Production Research (ISPR) - Digitizing Production System1
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Now showing 1 - 2 of 2
  • Thumbnail Image
    Conference Object
    Scheduling of Test Operations at Bosch Thermotechnology R&D Laboratory
    (Springer Science and Business Media Deutschland GmbH, 2020) Pelin Akçay; Mustafa Doğa Çetin; Batu Ekmekçi; Beste Yıldız; Levent Kandiller; Damla Kizilay; Akçay, Pelin; Yıldız, Beste; Kızılay, Damla; Ekmekçi, Batu; Kandiller, Levent; Çetin, Mustafa Doğa; M.N. Osman Zahid , R. Abd. Aziz , A.R. Yusoff , N. Mat Yahya , F. Abdul Aziz , M. Yazid Abu , N.M. Durakbasa , M.G. Gençyilmaz
    In Bosch’s Research and Development (R&D) laboratories several performance tests are executed to check whether the targeted quality and reliability values of the products are attained. Each product has to go through several tests on several test machines with different processing times. The specified problem in Bosch Thermotechnology entirely fits the Flexible Job Shop Scheduling (FJSS) Problem with machine and operation dependent setup times. The most crucial factor while performing these schedules of the products is to complete them as soon as possible to provide customer satisfaction as well as test machine utilization. Hence our objective function is to minimize the makespan. Additionally a decision support system (DSS) for the company on MS Excel is developed. © 2022 Elsevier B.V. All rights reserved.
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    Conference Object
    Citation - WoS: 1
    Citation - Scopus: 1
    Uniform Parallel Machine Scheduling with Sequence Dependent Setup Times: A Randomized Heuristic
    (SPRINGER-VERLAG SINGAPORE PTE LTD, 2022) Beste Yildiz; Levent Kandiller; Ayhan Ozgur Toy; Yıldız, Beste; Kandiller, Levent; Toy, Ayhan Özgür; NM Durakbasa; MG Gencyilmaz
    We consider the uniform parallel machine scheduling problem with sequence-dependent setup times to minimize the total completion times. This problem is known to be NP-hard. We propose a simple randomized heuristic with an improvement subroutine. We analyze the performance of the proposed heuristic through a computational study. Our computational study indicates that the heuristic performs well in terms of optimality gap and solution time