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pro vyhledávání: '"Kemal Subulan"'
Autor:
Kemal Subulan
Publikováno v:
Pamukkale University Journal of Engineering Sciences, Vol 25, Iss 4, Pp 481-497 (2019)
In recent years, there has been a growing attention to model and solve resource-constrained project scheduling problem (RCPSP) under uncertain environments. In most of the real-life cases, project managers may face with many uncertainties in activity
Externí odkaz:
https://doaj.org/article/bc1b7956379a470b94105878c72a7624
Autor:
Kemal SUBULAN
Publikováno v:
Pamukkale University Journal of Engineering Sciences, Vol 25, Iss 4, Pp 481-497 (2019)
Son yıllarda, belirsizlik altında kaynak kısıtlı proje çizelgeleme problemlerinin modellenmesi ve çözümüne, giderek artan bir ilgi olduğu görülmektedir. Gerçek hayat uygulamalarının birçoğunda, proje yöneticileri, aktivite süreler
Externí odkaz:
https://doaj.org/article/54a97456239543778226a41387550260
Autor:
Kemal Subulan, Gizem Çakır
Publikováno v:
Soft Computing. 26:2523-2560
In fuzzy mathematical programming literature, most of the transformation approaches were mainly focused on integer linear programs (ILPs) with fuzzy parameters/variables. However, ILP-based solution approaches may be inadequate for solving large-scal
Publikováno v:
Operational Research. 22:2063-2098
Fleet planning problems in intermodal transportation represent one of the most important problems in logistics. In addition to the integration of various sub-problems interrelated at different planning levels, i.e., strategic, tactical, and operation
Autor:
Gizem Çakır, Kemal Subulan
In fuzzy mathematical programming literature, most of the transformation approaches were mainly focused on integer linear programs (ILPs) with fuzzy parameters/variables. However, these ILP-based solution approaches may be inadequate for solving larg
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ce0d5d7ea75be45cda70d349881c1efa
https://doi.org/10.21203/rs.3.rs-613012/v1
https://doi.org/10.21203/rs.3.rs-613012/v1
Autor:
Adil Baykasoğlu, Kemal Subulan
Publikováno v:
Transportation Planning and Technology. 42:777-824
In this paper, a fuzzy-stochastic optimization model is developed for an intermodal fleet management system of a large international transportation company. The proposed model integrates various strategic, tactical and operational level decisions sim
Autor:
Adil Baykasoğlu, Kemal Subulan
Publikováno v:
Sustainable Production and Logistics ISBN: 9781003005018
Sustainable Production and Logistics
Sustainable Production and Logistics
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3c23b3b009976372d96f0538ce37b8e7
https://doi.org/10.1201/9781003005018-16-17
https://doi.org/10.1201/9781003005018-16-17
Publikováno v:
Transportmetrica A: Transport Science. 15:631-697
This paper mainly evaluates the previously published fleet planning researches which primarily utilize operations research and computational intelligence based techniques. An intermodal fleet planning framework with a classification scheme is also pr
Publikováno v:
Computer Applications in Engineering Education. 26:1841-1861
A considerable part of educational systems tends to be online and computer oriented. However, online examination may create some difficulties during the evaluation of student performance. Process mining which arises as a new concept presents various
Autor:
Kemal Subulan, Adil Baykasoğlu
Publikováno v:
Soft Computing. 23:1667-1698
This paper presents a novel direct solution approach for fully fuzzy transportation problems in which all of the model parameters as well as decision variables are considered as fuzzy numbers. In detail, a fuzzy decoding procedure based on constraine