Zobrazeno 1 - 10
of 11
pro vyhledávání: '"Engin Topan"'
Publikováno v:
Discover Data, Vol 2, Iss 1, Pp 1-34 (2024)
Abstract In supply chains, data is important to improve decision-making. Therefore, data sharing is essential to extract maximum benefits from technologies like Machine Learning and the Internet of Things in an Industry 4.0 context. However, data pro
Externí odkaz:
https://doaj.org/article/97aacf0b4b1f49bfae22996574269a77
Autor:
Engin Topan, M.C. van der Heijden
Publikováno v:
European journal of operational research, 284(1), 164-175. Elsevier
In this paper, we investigate operational spare parts planning in a multi-item two-echelon distribution system, taking into account real-time supply information in the system. We consider a broad range of operational interventions, either reactive (t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2ee3d00efbff801494edf9714ec44029
https://doi.org/10.1016/j.ejor.2019.12.022
https://doi.org/10.1016/j.ejor.2019.12.022
Publikováno v:
European Journal of Operational Research, 282, 401-414. Elsevier
In this paper, we provide an overview of operational spare parts planning in service control towers. We conduct company surveys to identify the issues, the challenges, and the needs in practice. We propose a classification framework to reveal the key
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ab1931c808e4ae48079494f4f022a84e
https://doi.org/10.1016/j.ejor.2019.03.026
https://doi.org/10.1016/j.ejor.2019.03.026
Publikováno v:
Expert systems with applications, 188:115925. Elsevier
In this paper, we present a method to use advance demand information (ADI), taking the form of request for quotation (RFQ) data, in B2B sales forecasting. We apply supervised machine learning and Natural Language Processing techniques to analyze and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cd2ab5dfa13a237494172a1db75b73da
https://doi.org/10.1016/j.eswa.2021.115925
https://doi.org/10.1016/j.eswa.2021.115925
Publikováno v:
Expert systems with applications, 187:115916. Elsevier
© 2021 Elsevier LtdThis paper investigates an unrelated parallel machine scheduling problem with a restrictive common due date. The objective is to minimize the total sum of earliness/tardiness costs. Using some properties of the problem such as V-S
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c4419e56ad881a600cd66810606dee01
http://www.scopus.com/inward/record.url?scp=85115611564&partnerID=8YFLogxK
http://www.scopus.com/inward/record.url?scp=85115611564&partnerID=8YFLogxK
Publikováno v:
Expert systems with applications, 186:115699. Elsevier
Industries that are in transition to Industry 4.0 often face challenges in applying data-driven methods to improve performance. While ample methods are available in literature, knowledge on how to select and apply them is scarce. This study aims to a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d03ac1a25cc9ae01138428ac099717e7
http://www.scopus.com/inward/record.url?scp=85114129426&partnerID=8YFLogxK
http://www.scopus.com/inward/record.url?scp=85114129426&partnerID=8YFLogxK
Publikováno v:
IISE Transactions, 53(1), 74-87. Informa UK Limited
IISE Transactions, 53(1), 74-87. Taylor & Francis
IISE Transactions, 53(1), 74-87. Taylor & Francis
We consider randomly failing high-precision machine tools in a discrete manufacturing setting. Before a tool fails, it goes through a defective phase where it can continue processing new products. However, the products processed by a defective tool d
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1927f22cc8cb035e1b6080c3080ba204
Publikováno v:
IISE Transactions, 50, 246-264. Taylor & Francis Ltd
IISE Transactions, 50(3), 246-264. Taylor & Francis
IISE Transactions, 50(3), 246-264. Informa UK Limited
IISE Transactions, 50(3), 246-264. Taylor & Francis
IISE Transactions, 50(3), 246-264. Informa UK Limited
Motivated by real-life applications, we consider an inventory system where it is possible to collect information about the quantity and timing of future demand in advance. However, this Advance Demand Information (ADI) is imperfect as (i) it may turn
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0a58fc90b46091d165b7f6f525904e43
https://doi.org/10.1080/24725854.2017.1403060
https://doi.org/10.1080/24725854.2017.1403060
Publikováno v:
European Journal of Operational Research, 256(1), 126-138. Elsevier
We consider a multi-item two-echelon spare parts inventory system in which the central warehouse operates under a (Q, R) policy and local warehouses implement (S−1,S) policy. The objective is to find the policy parameters minimizing expected system
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1137e526077993740086a15ced41f13a
https://research.tue.nl/nl/publications/aadc8e79-8379-4a3d-ad24-1fe767e944d4
https://research.tue.nl/nl/publications/aadc8e79-8379-4a3d-ad24-1fe767e944d4
Autor:
Zeynep Müge Avsar, Engin Topan
Publikováno v:
Annals of Operations Research, 182(1), 133-162. Springer
An approximation is proposed to evaluate the steady-state performance of kanban controlled two-stage assembly systems. The development of the approximation is as follows. The considered continuous-time Markov chain is aggregated keeping the model exa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cce4d9e92fa65c77c15917bec2441fc5
https://doi.org/10.1007/s10479-009-0560-1
https://doi.org/10.1007/s10479-009-0560-1