نمایش مختصر رکورد

dc.contributor.authorBarghash, Mahmoud. A.en_US
dc.contributor.authorAl-Mandahawi, Nabeelen_US
dc.contributor.authorAbuJbara, N.en_US
dc.contributor.authorAl-Abbadi, R.en_US
dc.contributor.authorHussein, S.en_US
dc.date.accessioned1399-07-08T17:41:32Zfa_IR
dc.date.accessioned2020-09-29T17:41:32Z
dc.date.available1399-07-08T17:41:32Zfa_IR
dc.date.available2020-09-29T17:41:32Z
dc.date.issued2017-11-01en_US
dc.date.issued1396-08-10fa_IR
dc.date.submitted2017-06-26en_US
dc.date.submitted1396-04-05fa_IR
dc.identifier.citationBarghash, Mahmoud. A., Al-Mandahawi, Nabeel, AbuJbara, N., Al-Abbadi, R., Hussein, S.. (2017). Design of Manufacturing Cells Pharmaceutical Factory. Journal of Applied Research on Industrial Engineering, 4(3), 158-173. doi: 10.22105/jarie.2017.54711en_US
dc.identifier.issn2538-5100
dc.identifier.issn2676-6167
dc.identifier.urihttps://dx.doi.org/10.22105/jarie.2017.54711
dc.identifier.urihttp://www.journal-aprie.com/article_54711.html
dc.identifier.urihttps://iranjournals.nlai.ir/handle/123456789/27003
dc.description.abstractCellular manufacturing is an important tool for manufacturing firms which leads to better productivity, focused and specialized manufacturing process. To utilize this important tool, the machines have to be grouped into cells. This work is related to using cellular manufacturing in a pharmaceutical factory with alternative routing. This adds more choices in the decision making process and presses for a better tool to make optimal selection. Several objectives may be considered to improve the productivity objectives such as the total number of exits and planning and scheduling robustness related objectives like bottleneck utilization and load balance between and within the alternative routes. Analytical hierarchical process (AHP) is used as a multi-objective decision making process to evaluate the best scenario amongst generated using simulation as a tool for modeling and evaluating the output for each scenario. Three customer case studies were considered with different preferences and the AHP evaluated the best scenario to fit these preferences. The best scenario can vary from one customer preferences to another but for the current system it turned out to be the same choice.en_US
dc.format.extent482
dc.format.mimetypeapplication/pdf
dc.languageEnglish
dc.language.isoen_US
dc.publisherAyandegan Institute of Higher Education, Iranen_US
dc.relation.ispartofJournal of Applied Research on Industrial Engineeringen_US
dc.relation.isversionofhttps://dx.doi.org/10.22105/jarie.2017.54711
dc.subjectCellular Manufacturingen_US
dc.subjectAnalytical Hierarchical Processen_US
dc.subjectSimulationen_US
dc.subjectMulti-objective Analysisen_US
dc.subjectDecision analysis and methodsen_US
dc.subjectManufacturing and Logisticsen_US
dc.titleDesign of Manufacturing Cells Pharmaceutical Factoryen_US
dc.typeTexten_US
dc.typeResearch Paperen_US
dc.contributor.departmentDepartment of Industrial Engineering, University of Jordan, Amman, Jordan.en_US
dc.contributor.departmentDepartment of Industrial Engineering, Hashemite University Zarqa, Jordan.en_US
dc.contributor.departmentDepartment of Industrial Engineering, Hashemite University Zarqa, Jordan.en_US
dc.contributor.departmentDepartment of Industrial Engineering, Hashemite University Zarqa, Jordan.en_US
dc.contributor.departmentDepartment of Industrial Engineering, Hashemite University Zarqa, Jordan.en_US
dc.citation.volume4
dc.citation.issue3
dc.citation.spage158
dc.citation.epage173


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