Enterprise Systems (SIG EntSys)
Loading...
Paper Type
Complete
Paper Number
1390
Description
The increasing number of sensors and communication technologies that are built into customer products make information about the product status accessible over the internet. Nonetheless, manufacturers’ Product Lifecycle Management (PLM) Information Systems (IS) do not integrate these product instance data. Furthermore, existing PLM IS do not support product related tasks after the manufacturing phase. In order to understand the impact of data from connected products as new sources of information on PLM, we conducted a systematic literature review. Our results led to a topic map that identifies drivers, use cases and barriers and contextualizes them. We further analyzed existing PLM models that support the analysis of product instance data. We found that the existing PLM IS have several limitations which hinder a successful realization in practice. The results of this review are a first step towards understanding how the Internet of Things (IoT) influences PLM on a firm level.
Recommended Citation
Brandt, Niklas; Ahlemann, Frederik; Rehring, Kevin; and Reining, Stefan, "Internet of Things in Product Lifecycle Management – A Review on Value Creation through Product Status Data" (2021). AMCIS 2021 Proceedings. 1.
https://aisel.aisnet.org/amcis2021/enterprise_systems/enterprise_systems/1
Internet of Things in Product Lifecycle Management – A Review on Value Creation through Product Status Data
The increasing number of sensors and communication technologies that are built into customer products make information about the product status accessible over the internet. Nonetheless, manufacturers’ Product Lifecycle Management (PLM) Information Systems (IS) do not integrate these product instance data. Furthermore, existing PLM IS do not support product related tasks after the manufacturing phase. In order to understand the impact of data from connected products as new sources of information on PLM, we conducted a systematic literature review. Our results led to a topic map that identifies drivers, use cases and barriers and contextualizes them. We further analyzed existing PLM models that support the analysis of product instance data. We found that the existing PLM IS have several limitations which hinder a successful realization in practice. The results of this review are a first step towards understanding how the Internet of Things (IoT) influences PLM on a firm level.
When commenting on articles, please be friendly, welcoming, respectful and abide by the AIS eLibrary Discussion Thread Code of Conduct posted here.