amePLM: a platform providing information provision in engineering

Lentes, Joachim; Zimmermann, Nikolas

doi:10.1080/00207543.2017.1302617

Cited by 9 publications

(3 citation statements)

References 29 publications

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“…PLM decision-making, by definition, occurs in an organizational context and typically involves collaboration within a group. PLM decision-making contexts are often complex (Eigner et al 2011), lack clarity at the outset and require a range of expertise and opinions to arrive at a decision solution, course of action, or outcome (Lentes and Zimmermann 2017).…”

Section: Product Lifecycle Management and Group Decision Supportmentioning

confidence: 99%

“…They conclude that ontologies are central to solving data integration problems, with initiatives such as OntoSTEP being developed. Currently such efforts are focused on product data interoperability rather than activity-based interoperability (Lentes and Zimmermann 2017). However, there is little or no explicit discussion of the need to, or the processes by which decisions and their related information should be captured and recorded in PLM systems.…”

Section: Product Lifecycle Management and Group Decision Supportmentioning

confidence: 99%

“…Allow for the dynamic planning of the decision-making process to suit the context and to conform to pre-defined PLM processes. Kadiri and Kiritsis (2015); Lentes and Zimmermann (2017) Using the context provided by a formal decision-making approach with stages, participants/roles, and their communication, previous decisions must be capable of being recalled specifically in order to be reviewed or audited. An information retrieval system should have the potential for reuse for similar decisions or to inform future decisions.…”

Section: Research Gap -Principles To Support Plm Decision Makingmentioning

confidence: 99%

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Group decision support for product lifecycle management

MacCarthy

Pasley

2020

International Journal of Production Research

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Product Lifecycle Management (PLM) systems support industrial organizations in managing their product portfolios and related data across all phases of the product lifecycle. PLM seeks to enhance an organization's ability to manage its product development activities and facilitate collaboration across organizational functions and between organizations. Effective decision-making is vital for the successful management of products over their lifecycle. However, PLM decision-making is an underresearched area. We argue that decision-making theory and group decision support concepts can be brought to bear to enhance PLM decision-making processes. We present and justify a set of six principles to support decision-making in a PLM context. The paper highlights the need to consider and capture decisions as distinct units of PLM knowledge to support product lifecycle management. We derive a generic information flow and a group decision support structure for PLM decision-making that encapsulates the six principles. Three industrial cases are analyzed to illustrate the application and value of the principles in supporting decision-making. The principles enable PLM decisions to be codified, recorded, and reviewed. Decision-making processes can be reused where appropriate. The principles can support future innovations that may affect PLM, such as ontological and semantic reasoning and Artificial Intelligence.

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Section: Product Lifecycle Management and Group Decision Supportmentioning

confidence: 99%

Section: Product Lifecycle Management and Group Decision Supportmentioning

confidence: 99%