A system dynamics-based technological archetype for the economics of leasing capital-intensive industrial robots

A. Elizondo-Noriega, N. Tiruvengadam, D. Guemes-Castorena, V. G. Tercero-Gomez, M. G. Beruvides

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

Over the past decade, leasing, as opposed to purchasing, has gained prominence regarding acquiring capital-intensive industrial robots. Investments in plant automation have seen significant growth over this time given the increasing need for higher productivity and quality. To offset the concomitant rise in automation equipment costs, organizations are increasingly relying on leasing such equipment. The leasing approach allows companies to reduce both the risks associated with and costs of new equipment acquisition. Initial automation efforts typically tend to be experimental, and the leasing of equipment allows organizations to test the efficacy of such efforts before committing to a final leasing/purchasing decision without expending heavily. Despite there being vast extant literature on automation through the use of industrial robots, the dynamics and effects of leasing decisions still need to be understood better. Simulation based on System Dynamics (SD) has been used in this study given that it has been demonstrated to be robust to information scarcity, a problem typically associated with data underpinning leasing decisions. A new dynamic archetype based on SD, which is an upgrade of a previously established static technological archetype, modeling the economic effects of leasing an industrial robot for a manufacturing facility is proposed.

Original languageEnglish
Title of host publicationPICMET 2019 - Portland International Conference on Management of Engineering and Technology
Subtitle of host publicationTechnology Management in the World of Intelligent Systems, Proceedings
EditorsDundar F. Kocaoglu, Timothy R. Anderson, Dilek Cetindamar Kozanoglu, Kiyoshi Niwa, Harm-Jan Steenhuis
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781890843403
DOIs
StatePublished - Aug 2019
Event2019 Portland International Conference on Management of Engineering and Technology, PICMET 2019 - Portland, United States
Duration: Aug 25 2019Aug 29 2019

Publication series

NamePICMET 2019 - Portland International Conference on Management of Engineering and Technology: Technology Management in the World of Intelligent Systems, Proceedings

Conference

Conference2019 Portland International Conference on Management of Engineering and Technology, PICMET 2019
CountryUnited States
CityPortland
Period08/25/1908/29/19

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