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An interoperable semantic service toolset with domain ontology for automated decision support in the end-of-life domain
In product-diverse, end-of-life (EoL) production lines the relevant markets, competitors and customer bases continuously change as new products are processed. The resale market itself changes with the influx of new products, as well as hardware and software discontinuations. Competitive business dec...
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| Main Authors: | , , , , , , , |
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| Format: | Default Article |
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2020
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| Online Access: | https://hdl.handle.net/2134/13611143.v1 |
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| _version_ | 1818166997144305664 |
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| author | Sarogini Pease Richard Sharpe Kate Van-Lopik Eleni Tsalapati Paul Goodall Robert I.M. Young Paul Conway Andrew West |
| author_facet | Sarogini Pease Richard Sharpe Kate Van-Lopik Eleni Tsalapati Paul Goodall Robert I.M. Young Paul Conway Andrew West |
| author_sort | Sarogini Pease (1257978) |
| collection | Figshare |
| description | In product-diverse, end-of-life (EoL) production lines the relevant markets, competitors and customer bases continuously change as new products are processed. The resale market itself changes with the influx of new products, as well as hardware and software discontinuations. Competitive business decision making is often performed by a human operator and may not be timely or fully informed. These are decisions such as whether to perform a high cost repair or recycle a product or whether to use a batch of parts in repair or sell them on. These decisions can be used to optimise product life-cycle management (PLM) and profit margins. A real-time decision making capability can reduce the risk of performing non-profitable processing. The novel contribution of this work is an interoperable semantic decision support toolset that enables a capability for timely EoL decisions based on complete knowledge on profitability, predicted pricing and cost-of-production. Many decision support systems have been proposed for the EoL domain, but a lack of interoperability and use of unstructured knowledge bases has led to decisions based on knowledge that is not up to date. Using formalised, semantic technologies offers sustainable decision making in this volatile and increasingly competitive domain. |
| format | Default Article |
| id | rr-article-13611143 |
| institution | Loughborough University |
| publishDate | 2020 |
| record_format | Figshare |
| spelling | rr-article-136111432020-06-19T00:00:00Z An interoperable semantic service toolset with domain ontology for automated decision support in the end-of-life domain Sarogini Pease (1257978) Richard Sharpe (1254495) Kate Van-Lopik (1247658) Eleni Tsalapati (3363530) Paul Goodall (1258392) Robert I.M. Young (1257699) Paul Conway (1249635) Andrew West (1259121) Distributed computing and systems software not elsewhere classified Information systems not elsewhere classified Software engineering not elsewhere classified Science & Technology Technology Computer Science, Theory & Methods Computer Science HEURISTIC ALGORITHMS FRAMEWORK TRUST Distributed Computing Information Systems Computer Software Distributed Computing In product-diverse, end-of-life (EoL) production lines the relevant markets, competitors and customer bases continuously change as new products are processed. The resale market itself changes with the influx of new products, as well as hardware and software discontinuations. Competitive business decision making is often performed by a human operator and may not be timely or fully informed. These are decisions such as whether to perform a high cost repair or recycle a product or whether to use a batch of parts in repair or sell them on. These decisions can be used to optimise product life-cycle management (PLM) and profit margins. A real-time decision making capability can reduce the risk of performing non-profitable processing. The novel contribution of this work is an interoperable semantic decision support toolset that enables a capability for timely EoL decisions based on complete knowledge on profitability, predicted pricing and cost-of-production. Many decision support systems have been proposed for the EoL domain, but a lack of interoperability and use of unstructured knowledge bases has led to decisions based on knowledge that is not up to date. Using formalised, semantic technologies offers sustainable decision making in this volatile and increasingly competitive domain. 2020-06-19T00:00:00Z Text Journal contribution 2134/13611143.v1 https://figshare.com/articles/journal_contribution/An_interoperable_semantic_service_toolset_with_domain_ontology_for_automated_decision_support_in_the_end-of-life_domain/13611143 CC BY-NC-ND 4.0 |
| spellingShingle | Distributed computing and systems software not elsewhere classified Information systems not elsewhere classified Software engineering not elsewhere classified Science & Technology Technology Computer Science, Theory & Methods Computer Science HEURISTIC ALGORITHMS FRAMEWORK TRUST Distributed Computing Information Systems Computer Software Distributed Computing Sarogini Pease Richard Sharpe Kate Van-Lopik Eleni Tsalapati Paul Goodall Robert I.M. Young Paul Conway Andrew West An interoperable semantic service toolset with domain ontology for automated decision support in the end-of-life domain |
| title | An interoperable semantic service toolset with domain ontology for automated decision support in the end-of-life domain |
| title_full | An interoperable semantic service toolset with domain ontology for automated decision support in the end-of-life domain |
| title_fullStr | An interoperable semantic service toolset with domain ontology for automated decision support in the end-of-life domain |
| title_full_unstemmed | An interoperable semantic service toolset with domain ontology for automated decision support in the end-of-life domain |
| title_short | An interoperable semantic service toolset with domain ontology for automated decision support in the end-of-life domain |
| title_sort | interoperable semantic service toolset with domain ontology for automated decision support in the end-of-life domain |
| topic | Distributed computing and systems software not elsewhere classified Information systems not elsewhere classified Software engineering not elsewhere classified Science & Technology Technology Computer Science, Theory & Methods Computer Science HEURISTIC ALGORITHMS FRAMEWORK TRUST Distributed Computing Information Systems Computer Software Distributed Computing |
| url | https://hdl.handle.net/2134/13611143.v1 |