Requirements for a Product Lifecycle Management System Using Internet of Things and Big Data Analytics for Product-as-a-Service

Abstract

Product-as-a-service (PaaS) offerings have advantages and potential for transforming societies to a circular economy and for improving environmental performance. Original equipment manufacturers providing PaaS offerings take higher responsibility for product performances in the use phase than those selling products. This responsibility can be supported by digital technologies such as the Internet of Things (IoT) and big data analytics (BDA). However, insights on how data of product designs and in-use services are managed for PaaS offerings in product lifecycle management (PLM) software are scarce. This mini-review first gives an account of extant major research works that successfully applied BDA, a specific technique of artificial intelligence (AI), to cases in industry through a systematic literature review. Then, these works are analyzed to capture requirements for a PLM system that will exploit the IoT and BDA for PaaS offerings. The captured requirements are summarized as (1) facilitate product and service integration, (2) address multiple lifecycles, (3) adopt an ontology approach encompassing several product standards, and (4) include reading data to process in an interoperation layer.

Achievement of Sustainable Manufacturing From Industry 4.0 Technologies – Future Perspective

“…Christefa, Mawengkang, and Zarlis [43] provide a comprehensive framework for the analysis of large-scale data in order to enhance decision-making in product-lifecycle-management and cleaner-production domains, leveraging the potential of big data. Sakao and Nordholm [44] provide a theoretical framework aimed at enhancing product-lifecycle management via the use of big data. This framework is designed to tackle many issues, including the scarcity of valuable information and dependable data that can be leveraged to facilitate informed making of decision in management of product-lifecycle.…”

Designing value-driven solutions: The evolution of industrial product-service systems

“…Instead, the potentials of value creation through the exploitation of data collected have widely been analysed, in particular in the context of asset monitoring and control applications. Another review points out the lack of research addressing feedback of data acquired via IIoT to IPS² design, which could be realized by PLM software [179].…”

Product-as-a-service from B2C retailers' perspective: a framework of challenges and mitigations

“…(Coenen et al, 2018, p. 2). Recoverable products can be reused or recycled instead of wasted, which is an environmentally sustainable practice (Sakao and Nordholm, 2021;Oliveira et al, 2021). Product responsibility must lie at an actor that has enough environmental sustainability knowledge.…”

“…With PaaS, customers gain access to products by leasing, renting (Fota et al, 2019) or subscription (Hussain et al, 2023), but do not get responsibility or ownership (Vermunt et al, 2019). PaaS is under-researched (Oliveira et al, 2021;Sakao and Nordholm, 2021).…”