Service Chain Logistics Management for Increasing Equipment Uptime

Currently, as Industrial Product Service Systems (IPS2) concepts are becoming increasingly adopted by capital assets suppliers, further increase of equipment uptimes is increasingly gaining attention by academics and practitioners. Uptimes can be managed by both improving the maintenance decision making as well as considering appropriate service supply chain design decisions. Furthermore, the integration of Industry 4.0 tools can further boost the previous with its communication and connectivity ability. Knowledge on these aspects is available in academia as well as in practice, but, as this paper argues, not structured for making decisions that consider all of these aspects in an integrated way aiming at improving equipment uptime. Through literature review, we assess the existing literature on IPS2. In doing so this paper offers a two-fold contribution: On the one hand, it presents an exploratory literature review to identify knowledge gap and on the other hand, it proposes a suitable future research project

Mapping challenges and methodologies for providing PSS - a thematic and descriptive analysis

Product service systems (PSS) are seen as a viable option for enhancing the competitiveness of organizations that produce stand-alone products and services. Although there are various opportunities associated with PSS, research evidence shows that product manufacturers face challenges in successfully deploying PSS strategies. While the methods addressing PSS challenges have attracted much interest from both academia and practice, the literature provides limited knowledge about PSS development methods and challenges related to specific assets or products. This limitation hinders the development of successful strategies for both developing products to PSS and converting existing products to PSS. This study clarifies the contribution of the literature by proposing a mapping of PSS development methods capable of tackling the PSS business models that offer challenges. The mapping of challenges and methods presented can support organisations in their strategic decision-making about providing PSS, thus mitigating risks and improving business performance. Finally, analysing the extension of this coverage makes it possible to understand the method’s limitations and determine opportunities for further research. A specific focus is placed on the asset or product development industry

A FMEA based method for analyzing and prioritizing performance risk at the conceptual stage of performance PSS design

With the quest for enhancing competitive position, fulfilling customer and sustainability demands, increasing profitability, asset manufacturing companies are now adapting assets towards product service systems (PSS) offered through performance contracts. Despite several benefits, the shift to performance PSS exposes industrial asset manufacturers’ to performance challenges and risks. Currently, PSS designers face a challenge to exhaustively identify potential failures during PSS development. Knowledge of Product failures is critical prior to the engineering of PSS. This paper proposes a failure modes and effects analysis (FMEA) method to support designers’ prioritise critical failures in performance PSS development. A case study of an optical sorting machine is used to demonstrate the method’s application