Sustainable Potentials and Risks Assess in Automation and Robotization Using the Life Cycle Management Index Tool—LY-MIT

Jörg Niemann and Adrian Pisla
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Jörg Niemann: FLiX—Research Centre Life Cycle Excellence, Düsseldorf University of Applied Sciences, 40476 Düsseldorf, Germany
Adrian Pisla: IPR—Design Enginnering & Robotics Department, Technical University in Cluj-Napoca, 400114 Cluj-Napoca, Romania

Sustainability, 2018, vol. 10, issue 12, 1-21

Abstract: In product generation management, the assessment for sustainability, together with risks potential, requires a holistic life cycle management approach, especially when it comes to the question of obsolete management of components. But, so far, the economic impact or benefit of such life cycle related activities is not always obvious. This paper presents a complex approach to identify company unexploited resources by offering the performance exploration of a novel capability and innovative tool named the LifecYcle-Managerial Index Tool (LY-MIT), in order to allow detailed visualization for a company, using seven clustered capabilities in respect to key areas. The assisted analysis of the strength and weakness enables manufacturers, as well as industrial end-users, to sustainably assess and evaluate the productivity potentials and risks of possible life cycle related improvements to their installed base. The research team used the tool on almost 300 sample companies group to identify the robustness of the tool in implementing sustainable change required measurements, mostly based on a self-assessment questionnaire about their capabilities. Only the approach and the results of this instrument usage are presented in this paper.

Keywords: life cycle management; service management; life cycle productivity; risk by lifecycle assessments; robotics (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2018
References: View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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Persistent link: https://EconPapers.repec.org/RePEc:gam:jsusta:v:10:y:2018:i:12:p:4638-:d:188445

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