A methodology for module portfolio planning within the service solution layer of a product–service system

Abstract

Abstract:The key to solving contradiction between personalization and low cost is to realize the modularity of PSS. In order to achieve maximum customer satisfaction andthe lowest lifecycle cost for PSS, module portfolio of services solution layer of Product-service System(PSS) should be planned reasonably. Firstly, a methodology of module portfolio planning for PSS service solution layeris proposed, the methodology consists of four phases (including five steps), which namely are service needs acquisition phase, finding principle solution and building modular rough structure phase, configuring principle solutionportfolio phase and evaluating modular solution phase. Detailed technical steps and implementation methods for each stage are presented.Secondly, a evaluation method for PSS module portfolio solution based on utility price ratio is proposed. Based on customer utility and lifecycle costs of PSS,the solution was carried out with the maximum ratio between customer satisfaction and the usage. Finally, a case study onPSS solution of a power transformer is carried out to validate the methodology proposed in the paper.

Product-service system business model archetypes and sustainability

“…Servitization/PSS has received increasing interest from researchers. The current literature has studied servitization/PSS from various perspectives, such as the drivers and barriers of servitization (Vladimirova, 2012), PSS design (Sakao and Lindahl, 2009;Sakao and Mizuyama, 2014;Song and Sakao, 2017), PSS modularisation (Fargnoli et al, 2018;Li et al, 2018) and the sustainability features of PSS (Tukker 2004(Tukker , 2015.…”

Exploring Paradoxical Tensions in Circular Business Models—Cases from North Europe

“…Increasing revenues from services fail to deliver greater profits because of spiraling costs or overestimation of revenues [20,[36][37][38][39][40] Circular Economy Waste valorization and application of an eco-design methodology [11,[17][18][19] 2.1.1. Corporate Sustainability…”

“…Simultaneously address multiple desirable but conflicting economic, environmental and social outcomes in different temporal (e.g., short and long term) and spatial arenas (e.g., firm level and societal level) [13] [28] [14] Strategic sensitivity, collective commitment and resource fluidity [29] Ambidexterity: exploitation and exploration in different markets [31] Creation of value for some stakeholders and destruction for others Stakeholder management [40] Financial vs. non-financial performance Reflexivity, structured decision-making and target setting [33] New governance structures [27] Isomorphism Servitization can be understood as a business strategy in which a manufacturer expands its main value proposition from tangible products to intangible services [38]. From this broad business strategy, a unique niche of studies has emerged focused specifically on understanding and devising strategies for dealing with the so-called servitization paradox.…”

“…Moreover, CBM research would also benefit from a combination of research methods (i.e., qualitative and quantitative) similar to how the servitization literature has done. Particularly qualitative methods, such as in the case of Sjödin et al (2020), help in the conceptualization and building of models for understanding the paradox, whilst quantitative methods, such as in the cases of Kuijken, Gemser and Wijnberg (2017) or Li et al (2018), offer a suitable approach for the evaluation of management strategies.…”

Modularization of smart product service: A framework integrating smart product service blueprint and weighted complex network

“…Third, for the SPS module partition based on the obtained correlation evaluation results, the efficiency of the previous partition methods, such as fuzzy clustering algorithm (Sun et al, 2017), mapping matrix (Li et al, 2012), fuzzy graph (Song et al, 2015;Song and Sakao, 2017), transitive closure method (Geng et al, 2019;Sheng et al, 2017) and morphological matrix (Li et al, 2018), would markedly decrease and easily suffered in local optima (Sayama et al, 2013). Most of these methods cannot be capable to acquire optimal SPS module partition schemes in terms of a larger calculation scale and workload, and to provide a visualization way to directly understand the partition process.…”