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If you would like to write for this, or any other Emerald publication, then please use our Emerald for Authors service information about how to choose which publication to write for and submission guidelines are available for all. Please visit www.emeraldinsight.com/authors for more information. About Emerald www.emeraldinsight.comEmerald is a global publisher linking research and practice to the benefit of society. The company manages a portfolio of more than 290 journals and over 2,350 books and book series volumes, as well as providing an extensive range of online products and additional customer resources and services.Emerald is both COUNTER 4 and TRANSFER compliant. The organization is a partner of the Committee on Publication Ethics (COPE) and also works with Portico and the LOCKSS initiative for digital archive preservation. AbstractPurpose -Spare parts management plays a relevant role for equipment-intensive companies. An important step of such process is the spare parts classification, enabling properly managing different items by taking into account their peculiarities. The purpose of this paper is to review the state of the art of classification of spare parts for manufacturing equipment by presenting an extensive literature analysis followed by an industrial assessment, with the final aim to identify eventual discrepancies. Design/methodology/approach -Not only is the attention put on the literature about the subject, but also on an on-field analysis, that is presented comprehending an extensive survey and two in-depth exploratory case studies. The copper mining sector was chosen being representative for the case of capital intensive plants where the cost of maintenance has relevant weight on the total operating cost. Findings -The paper highlights the status of the scientific literature on spare parts classification by showing the current situation in the real industrial world. The paper depicts the existing barriers that leave gaps between theory and real practice for the application of an effective multi-criteria spare parts classification. Originality/value -The paper provides a review of the theory on spare parts classification methods and criteria, as well as empirical evidences especially for what concern current situation and barriers for an effective implementation in the industrial environment. The paper should be of interest to both academics and practitioners, since it provides original insights on the discrepancies between scientific and industrial world.

The aim of this paper is to investigate how to embed Asset Management in production companies. A framework is defined based on literature analysis and focus groups findings, in which the fundamentals to guide the integration of Asset Management are systematized. Two dimensions are identifiedthe asset life cycle and the hierarchical level of the asset-control activitiesand four founding principleslife cycle, system, risk and asset-centric orientationas levers to integrate Asset Management within an industrial organization. An empirical investigation is then developed through multiple case-study involving eight production companies in Italy, with the purpose to map the elements of the framework against the real mechanisms in the industrial practices. This allows testing the relevance of the framework itself and demonstrating its potential as a support for companies to implement gap analysis on AM practices. Empirical evidence on current practices of AM in production companies is contextually unveiled.

POST-PRINT Version Building a Total Cost of Ownership model to support manufacturing asset lifecycle managementThis paper proposes a methodology to build a Total Cost of Ownership (TCO) model aimed to support decision-making for manufacturing asset lifecycle management. Existing challenges for TCO adoption in industry are identified through literature review and through an explorative multiple case study involving eight manufacturing companies. Based on it, a general methodology is proposed for building a novel asset-centric performance-driven TCO model. The methodology is based on an integrated modelling approach that puts together technical performance analysis and economic analysis, enabling the asset users linking their knowledge about asset performance with offers specifications by the asset providers. In this way, the TCO model becomes a decision-making tool for the asset users that can also guide the relationship with providers. An application case within a chemical production company is described, showing how challenges are addressed through the proposed methodology, within a real context.