Improving the Throughput of Pipe and Tube Production: A Case Study

dc.contributor.author Aytaç Ali Aslaner
dc.contributor.author Aysu Gürokur
dc.contributor.author Enes Turan
dc.contributor.author Karya Varol
dc.contributor.author Melisa Menemenlioğlu
dc.contributor.author Ömer Faruk Çorum
dc.contributor.author Yağmur Aydoğan
dc.contributor.author Nazlı Karatas Aygün
dc.contributor.author Erdinc Oner
dc.contributor.author Aslaner, Aysu
dc.contributor.author Turan, Enes
dc.contributor.author Öner, Erdinç
dc.contributor.author Gürokur, Aysu
dc.contributor.author Menemenlioğlu, Melisa
dc.contributor.author Çorum, Ömer Faruk
dc.contributor.author Varol, Karya
dc.contributor.editor N.M. Durakbasa , M.G. Gençyılmaz
dc.date.accessioned 2025-10-06T17:50:46Z
dc.date.issued 2021
dc.description.abstract The facility layout is an important issue affecting the productivity of manufacturing systems. For an organization to have an effective and efficient manufacturing unit special attention must be given to facility layout. Well-designed facilities result in efficient materials handling reduced resource transportation times and decreased production cycle times. Besides effective layouts are known to greatly impact operational performance. Improving the facility layout considering the flow amounts between machines improves the performance of the system. Designing an optimal layout provides the efficiency of material handling and reduces the distance traveled. In this study the locations and quantities of the work in process (WIP) inventory areas and the locations of the machines are determined. Mixed Integer Programming (MIP) is used for formulating and representing the problem. The objective function of the mathematical model is to minimize distances between the machines with high material flows. The mathematical model is solved using an optimization program. The iterative heuristic algorithm using the same optimization approach is designed as an alternative solution method to develop the mathematical model. In addition to the layout optimization the amount and the size of WIP inventory areas are calculated using the daily production plan. The results of the study are put together in an applicable user-friendly and adaptable Decision Support System (DSS). The new plant layout has been compared with the current plant layout using the DSS. The company will produce more effectively with less material handling using the DSS. © 2020 Elsevier B.V. All rights reserved.
dc.description.sponsorship Acknowledgment. This study is supported by TUBITAK (The Scientific and Technological Research Council of Turkey) in the program of “2209-B Undergraduate Thesis Support Program for Industrial Applications”.
dc.description.sponsorship TUBITAK; Türkiye Bilimsel ve Teknolojik Araştirma Kurumu, TÜBITAK
dc.identifier.doi 10.1007/978-3-030-62784-3_74
dc.identifier.isbn 9789819650583, 9783031991585, 9783031948886, 9789819667314, 9789811937156, 9783030703318, 9789811622779, 9789811969447, 9789819701056, 9789819748051
dc.identifier.isbn 9783030627836
dc.identifier.issn 21954364, 21954356
dc.identifier.issn 2195-4356
dc.identifier.scopus 2-s2.0-85096507288
dc.identifier.uri https://www.scopus.com/inward/record.uri?eid=2-s2.0-85096507288&doi=10.1007%2F978-3-030-62784-3_74&partnerID=40&md5=aede0e1b746195f597047c6967aa7c21
dc.identifier.uri https://gcris.yasar.edu.tr/handle/123456789/9100
dc.identifier.uri https://doi.org/10.1007/978-3-030-62784-3_74
dc.language.iso English
dc.publisher Springer Science and Business Media Deutschland GmbH
dc.relation.ispartof International Symposium for Production Research ISPR 2020
dc.rights info:eu-repo/semantics/closedAccess
dc.source Lecture Notes in Mechanical Engineering
dc.subject Facility Layout Problem, Layout Optimization, Machine Allocation, Material Handling, Mixed Integer Programming, Wip Inventory
dc.subject Machine Allocation
dc.subject Layout Optimization
dc.subject WIP Inventory
dc.subject Material Handling
dc.subject Facility Layout Problem
dc.subject Mixed Integer Programming
dc.title Improving the Throughput of Pipe and Tube Production: A Case Study
dc.type Conference Object
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gdc.description.departmenttemp [Aslaner A.] Department of Industrial Engineering, Yasar University, Izmir, Turkey; [Gürokur A.] Department of Industrial Engineering, Yasar University, Izmir, Turkey; [Turan E.] Department of Industrial Engineering, Yasar University, Izmir, Turkey; [Varol K.] Department of Industrial Engineering, Yasar University, Izmir, Turkey; [Menemenlioğlu M.] Department of Industrial Engineering, Yasar University, Izmir, Turkey; [Çorum Ö.F.] Department of Industrial Engineering, Yasar University, Izmir, Turkey; [Aydoğan Y.] Department of Industrial Engineering, Yasar University, Izmir, Turkey; [Aygün N.K.] Department of Industrial Engineering, Yasar University, Izmir, Turkey; [Öner E.] Department of Industrial Engineering, Yasar University, Izmir, Turkey
gdc.description.endpage 899
gdc.description.publicationcategory Konferans Öğesi - Uluslararası - Kurum Öğretim Elemanı
gdc.description.startpage 888
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gdc.virtual.author Karataş Aygün, Nazli
gdc.virtual.author Öner, Erdinç
oaire.citation.endPage 899
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person.identifier.scopus-author-id Aslaner- Aytaç Ali (57220004222), Gürokur- Aysu (57220009754), Turan- Enes (58404112400), Varol- Karya (57220011524), Menemenlioğlu- Melisa (57220005991), Çorum- Ömer Faruk (57220010181), Aydoğan- Yağmur (57220011209), Aygün- Nazlı Karatas (57220005342), Oner- Erdinc (12785199900)
project.funder.name Acknowledgment. This study is supported by TUBITAK (The Scientific and Technological Research Council of Turkey) in the program of “2209-B Undergraduate Thesis Support Program for Industrial Applications”.
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