Title: A fuzzy logic assessment framework for collaborative development of product-service systems

Authors: Mourad Harrat; Farouk Belkadi; Guy Caverot; Alain Bernard

Addresses: Ecole Centrale de Nantes, LS2N, UMR CNRS 6597, 1 Rue de la Noë, Nantes, France ' Ecole Centrale de Nantes, LS2N, UMR CNRS 6597, 1 Rue de la Noë, Nantes, France ' Inter'NOV, 13, Rue Demozay, Nantes, France ' Ecole Centrale de Nantes, LS2N, UMR CNRS 6597, 1 Rue de la Noë, Nantes, France

Abstract: The development and value chain management of product-service systems (PSS) requires companies to look for new capabilities, regarding the disparate components of a PSS. However, interfirm collaboration in this context presents several particularities which may be challenging for the stakeholders and can lead to project failure. In this regard, there is still limited literature addressing frameworks and tools to manage the collaborative aspects of PSS from an organisational point of view. This paper presents a methodology to develop a framework to support companies in choosing suitable partners in a PSS development project and to improve collaboration. Thus, an assessment model is built using key performance indicators (KPIs) based on important collaboration performance factors, with the help of a fuzzy logic tool. This model is then tested and validated in two different PSS case studies.

Keywords: decision aid; interfirm collaboration; product-service system; PSS; fuzzy logic.

DOI: 10.1504/IJVCM.2023.130974

International Journal of Value Chain Management, 2023 Vol.14 No.2, pp.143 - 167

Received: 13 Oct 2021
Accepted: 19 Feb 2022
Published online: 17 May 2023 *

Full-text access for editors Full-text access for subscribers Purchase this article Comment on this article