An agent-based model for flexible customization in product-service systems

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dc.contributor.authorFarsi, Maryam
dc.contributor.authorErkoyuncu, John Ahmet
dc.date.accessioned2021-03-08T16:21:54Z
dc.date.available2021-03-08T16:21:54Z
dc.date.issued2021-02-10
dc.description.abstractProduct-Service System (PSS) models offer an integrated service solution to create value for businesses. In the high-value manufacturing sector, value creation for maintaining market competitiveness and improving customer satisfaction is a challenging task. Designing an effective PSS solution depends on integrated service, and product requirements and constraints. Thereby, PSS contract decisions can be significantly influenced by customers’ requirements, and also product and service features. However, existing literature primarily focuses on the impact of service requirements on the PSS contract decisions. Moreover, the existing insights for PSS customization mainly consider hysteretic customer requirements rather than forecasting the requirements under product and service uncertainties. In this paper, an agent-based cost-benefit analysis simulation model is implemented for the PSS contract decisions context. Moreover, a sensitivity analysis is conducted on service costs. Additionally, the effect of product remaining life on service contract decisions is analyzed. The simulation model considers stochastic uncertainty to study PSS contracts customization. The presented model supports PSS customization process by providing a quantitative tool that measures contracts’ profitability as early as the requirement elicitation phase. Furthermore, the bottom-up nature of the model, and the integration of probabilistic uncertainties enhance the flexibility of PSS customization. A case study of PSS contract decision in the machine tool industry is considered for assessing the validity of the presented model. Studies on different forms of service uncertainty highlight that the product failure rate has the most influence on the profitability of a service contract. Moreover, the impact of product age on profitability in an availability-based contract is more significant compared to a spare-parts contract.en_UK
dc.identifier.citationFarsi M, Erkoyuncu JA. (2021) An agent-based model for flexible customization in product-service systems. Procedia CIRP, Volume 96, pp. 39-44. 8th CIRP Global Web Conference (CIRPe 2020): Flexible mass customisation, 14-16 October 2020, Virtual Eventen_UK
dc.identifier.issn2212-8271
dc.identifier.urihttps://doi.org/10.1016/j.procir.2021.01.049
dc.identifier.urihttps://dspace.lib.cranfield.ac.uk/handle/1826/16455
dc.language.isoenen_UK
dc.publisherElsevieren_UK
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjectFlexible Customizationen_UK
dc.subjectAgent-based Modelingen_UK
dc.subjectSensitivity Analysisen_UK
dc.subjectUncertaintyen_UK
dc.subjectServitizationen_UK
dc.subjectProduct-Service Systemen_UK
dc.titleAn agent-based model for flexible customization in product-service systemsen_UK
dc.typeConference paperen_UK

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