Please use this identifier to cite or link to this item: http://hdl.handle.net/11718/25345
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dc.contributor.authorRoy D.
dc.contributor.authorKrishnamurthy A.
dc.contributor.authorHeragu S.S.
dc.contributor.authorMalmborg C.
dc.date.accessioned2022-02-11T10:15:37Z-
dc.date.available2022-02-11T10:15:37Z-
dc.date.issued2017
dc.identifier.citationRoy, D., Krishnamurthy, A., Heragu, S. S., & Malmborg, C. (2017). A multi-tier linking approach to analyze performance of autonomous vehicle-based storage and retrieval systems. Computers and Operations Research, 83. https://doi.org/10.1016/j.cor.2017.02.012
dc.identifier.issn3050548
dc.identifier.urihttps://www.doi.org/10.1016/j.cor.2017.02.012
dc.identifier.urihttp://hdl.handle.net/11718/25345-
dc.description.abstractTo improve operational flexibility, throughput capacity, and responsiveness in order fulfillment operations, several distribution centers are implementing autonomous vehicle-based storage and retrieval system (AVS/RS) in their high-density storage areas. In such systems, vehicles are self-powered to travel in horizontal directions (x- and y- axes), and use lifts or conveyors for vertical motion (z-axis). In this research, we propose a multi-tier queuing modeling framework for the performance analysis of such vehicle-based warehouse systems. We develop an embedded Markov chain based analysis approach to estimate the first and second moment of inter-departure times from the load-dependent station within a semi-open queuing network. The linking solution approach uses traffic process approximations to analyze the performance of sub-models corresponding to individual tiers (semi-open queues) and the vertical transfer units (open queues). These sub-models are linked to form an integrated queuing network model, which is solved using an iterative algorithm. Performance estimates such as expected transaction cycle times and resource (vehicle and vertical transfer unit) utilization are determined using this algorithm, and can be used to evaluate a variety of design configurations during the conceptualization phase. � 2017 Elsevier Ltd
dc.description.sponsorshipNational Science Foundation,燦SF: CMMI-0848756,燙MMI-0946706
dc.language.isoen_US
dc.publisherElsevier Ltd
dc.relation.ispartofComputers and Operations Research
dc.subjectAVS/RS
dc.subjectEmbedded Markov chains
dc.subjectIntegrated queuing model
dc.subjectLinking algorithm
dc.subjectSemi-open queues
dc.titleA multi-tier linking approach to analyze performance of autonomous vehicle-based storage and retrieval systems
dc.typeArticle
dc.rights.licenseCC BY-NC-ND
dc.contributor.affiliationProduction and Quantitative Methods Area, Indian Institute of Management Ahmedabad, Gujarat 380015, India
dc.contributor.affiliationDepartment of Industrial and Systems Engineering, University of Wisconsin-Madison, Madison, WI-53706, United States
dc.contributor.affiliationSchool of Industrial Engineering and Management, Oklahoma State University, Stillwater, OK-74078, United States
dc.contributor.affiliationDepartment of Industrial and Systems Engineering, Rensselaer Polytechnic Institute, Troy, NY-12180, United States
dc.contributor.institutionauthorRoy, D., Production and Quantitative Methods Area, Indian Institute of Management Ahmedabad, Gujarat 380015, India
dc.contributor.institutionauthorKrishnamurthy, A., Department of Industrial and Systems Engineering, University of Wisconsin-Madison, Madison, WI-53706, United States
dc.contributor.institutionauthorHeragu, S.S., School of Industrial Engineering and Management, Oklahoma State University, Stillwater, OK-74078, United States
dc.contributor.institutionauthorMalmborg, C., Department of Industrial and Systems Engineering, Rensselaer Polytechnic Institute, Troy, NY-12180, United States
dc.description.scopusid25522771400
dc.description.scopusid7005516128
dc.description.scopusid35560524700
dc.description.scopusid7006047878
dc.identifier.doi10.1016/j.cor.2017.02.012
dc.identifier.endpage188
dc.identifier.startpage173
dc.identifier.volume83
Appears in Collections:Open Access Journal Articles

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