Planning and control of AGVs in AMRF decision hierarchy
buir.advisor | Aktürk, M. Selim | |
dc.contributor.author | Yılmaz, Haluk | |
dc.date.accessioned | 2016-01-08T20:10:27Z | |
dc.date.available | 2016-01-08T20:10:27Z | |
dc.date.issued | 1993 | |
dc.description | Ankara : The Department of Industrial Engineering and the Institute of Engineering and Sciences of Bilkent Univ., 1993. | en_US |
dc.description | Thesis (Master's) -- Bilkent University, 1993. | en_US |
dc.description | Includes bibliographical references leaves 90-94. | en_US |
dc.description.abstract | Scheduling efforts made without considering the special limitations of the material handling system might lead to infeasible results. This problem especially becomes important when the Automated Guided Vehicles (AGV) are the main material handling media due to their inherent flexibility and adaptability that increase the scheduling complexity. In this thesis, an analytical model is proposed, first, to incorporate the AGV module into the overall decision making hierarchy. A mathematical formulation is developed to include interaction between the AGV module and other modules in the system by considering the restrictions of the material handling system. A micro-opportunistic approach is proposed to solve the AGV scheduling problem. Finally, the proposed method is compared with a number of dispatching rules. | en_US |
dc.description.provenance | Made available in DSpace on 2016-01-08T20:10:27Z (GMT). No. of bitstreams: 1 1.pdf: 78510 bytes, checksum: d85492f20c2362aa2bcf4aad49380397 (MD5) | en |
dc.description.statementofresponsibility | Yılmaz, Haluk | en_US |
dc.format.extent | xii, 94 leaves, tables | en_US |
dc.identifier.uri | http://hdl.handle.net/11693/17457 | |
dc.language.iso | English | en_US |
dc.rights | info:eu-repo/semantics/openAccess | en_US |
dc.subject | Factory Reference Models | en_US |
dc.subject | Opportunistic Scheduling | en_US |
dc.subject | AGVS | en_US |
dc.subject.lcc | TS191 .Y55 1993 | en_US |
dc.subject.lcsh | Automated guided vehicle systems. | en_US |
dc.title | Planning and control of AGVs in AMRF decision hierarchy | en_US |
dc.type | Thesis | en_US |
thesis.degree.discipline | Industrial Engineering | |
thesis.degree.grantor | Bilkent University | |
thesis.degree.level | Master's | |
thesis.degree.name | MS (Master of Science) |
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