Configuring Services and Processes

Tiihonen, Juha; Mayer, Wolfgang; Stumptner, Markus; Heiskala, Mikko

doi:10.1016/b978-0-12-415817-7.00021-9

Cited by 5 publications

(3 citation statements)

References 6 publications

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“…The similarities identified above, regardless of the tangible or intangible nature of artefacts, along with the studies carried out by Shen, Wang, and Sun (2012) and Tiihonen et al (2014), have convinced us to fill this gap. Consequently, the aims of Section 3 are (1) to define and discuss the concept of Product Service System or P SS and (2) to propose the generic items of a configuration model for commercial offers, based on this definition and on existing studies.…”

Section: Synthesismentioning

confidence: 94%

“…Our proposal is based on a detailed examination of the commercial offer in bidding process (Chalal and Ghomari 2006). Inspired by the works of Tiihonen et al (2014) and Shen, Wang, and Sun (2012), a commercial offer is characterised by (1) a context in which the offer is taking place, (2) a technical solution defined using an ontology of artefacts (Vareilles et al 2015), (3) a delivery process defined through an ontology of activities and finally (4) a set of key performance indicators, which includes economic, time and confidence indicators (Kang et al 2016;Sylla et al 2017aSylla et al , 2017bAyachi et al 2018). In our proposal, unlike Shen, Wang, and Sun (2012), a clear distinction between the service (what the company sells), modelled as intangible artefacts, and the delivery process (how the company delivers it) is made.…”

Section: Conclusion and Future Researchmentioning

confidence: 99%

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Product⋎service system configuration: a generic knowledge-based model for commercial offers

Guillon

Ayachi

Vareilles

et al. 2020

International Journal of Production Research

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At a time when modes of consumption are rapidly evolving, consumer attitudes and expectations are changing. Today, customers want more and more products and services that can be customised to their needs. Furthermore, they are more willing to pay for usage of a product rather than ownership. On the other hand, companies are adding more and more services to the products they are bringing to market in order to create added value and differentiate themselves from their competitors. To adapt to these new market trends, companies now have to offer their customers a more sophisticated catalog of solutions, in both product and services, including all conceivable combinations of the two. The aim of this article is to propose a generic knowledge-based model, dedicated to commercial offer configuration which is able to cope with the whole variety of solutions a company can deliver. To our knowledge, although some works on product configuration, service and product-service system configuration exist, none of them is generic enough to support product, service and product-service configuration at the same time when defining commercial offers. In this article, after giving a state-of-the-art assessment of product and service configurations, the need for a generic model able to cover the whole range and diversity of commercial offers is established, a knowledge-based model is defined and its relevance is demonstrated on seven use-cases coming from secondary and tertiary sector companies.

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Section: Synthesismentioning

confidence: 94%

Section: Conclusion and Future Researchmentioning

confidence: 99%

Product⋎service system configuration: a generic knowledge-based model for commercial offers

Guillon

Ayachi

Vareilles

et al. 2020

International Journal of Production Research

View full text Add to dashboard Cite

show abstract

“…A configurable product is the result of the development of the solution space that identifies the product properties for which customer needs diverge. Therefore, a configurable product requires the design of a family of products, where a specific configuration specifies one of the possible product variants (Tiihonen, 2014).…”

Section: Background On Function Modeling In Modular Product Variant Dmentioning

confidence: 99%

Toward a function-based IT platform for variants redesign of household appliances

Peruzzini

Raffaeli

Malatesta

et al. 2017

AIEDAM

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Modular product design is an efficient strategy to let manufacturing companies meet the customers' requirements by offering a wide variety and customization of products and significantly saving time and cost during engineering and production (Fei et al., 2011). Despite numerous approaches for function modeling and modular product design (Srinivasan et al., 2012; Eckert, 2013; Vermaas, 2013) that have been developed in the last decades, carrying out an efficient product variants' design process is still an open issue for many manufacturing companies. The proposed approaches offer numerous ways to model information about product functionality, but each approach is useful and particularly well suited for different applications and domains (Summers et al., 2013). The present research compares the existing approaches for product variants design and defines a function-based model to support product design and redesign according to a modular framework, merging qualitative technical issues with business-oriented evaluation. Such a framework has been used to develop a multiuser IT platform, composed of a knowledge-based engine and four different tools to support designers and engineers in product variants creation, management, and configuration, from product functional modeling to cost estimation and life cycle assessment. The proposed model has been tested on industrial cases in the context of household appliances. Experimental results demonstrates that, after a preliminary context analysis and a proper knowledge base creation, such a model supports a more conscious decision-making and promote collaboration within an interdisciplinary design team. Finally, the case study shows the necessity, but in the meanwhile the insufficiency, of a functional decomposition as the only representation viewpoint

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Openness and Open-Endedness: Implications for Mass Customization Capabilities

Heiskala

2023

Lecture Notes in Mechanical Engineering

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Configuring Services and Processes

Cited by 5 publications

References 6 publications

Product⋎service system configuration: a generic knowledge-based model for commercial offers

Product⋎service system configuration: a generic knowledge-based model for commercial offers

Toward a function-based IT platform for variants redesign of household appliances

Openness and Open-Endedness: Implications for Mass Customization Capabilities

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