Innovative clearance data model for demining operational data collection: insights from field trials in Zimbabwe

Date published

2024-12-15

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2025-01-09

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Elsevier

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Article

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2405-8440

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Citation

Evans R, Bold M, Nelson L, Temple T. (2024) Innovative clearance data model for demining operational data collection: insights from field trials in Zimbabwe. Heliyon, Volume 10, Issue 23, December 2024, Article number e40538

Abstract

From September 2023 to March 2024 a field trial on a live manual demining site was conducted to test a new and innovative approach for the collection and analysis of operational data. The approach, titled the Clearance Data Model, involved the collection of sixty-six data attributes for each mine found. For the first time the mine itself would become the accountable unit of demining data, against which an expanded range of relevant attributes particular to that specific mine would be recorded. This novel approach represented a considerable expansion to the operational data collected concerning Victim Operated Explosive Devices such as mines, booby-traps and victim operated Improvised Explosive Devices from the field. Previously few if any details about individual accountable mines were collected. The trial proved that is it entirely practical to collect such levels of data without impeding operational efficiency. It also showed that such data has significant benefits for quantitative operational risk management, as well as overall operations and quality management. For example, the recording of mine depth alongside excavation times enables oversight of individual excavation speed and management of any risk identified.

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Github

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3509 Transportation, Logistics and Supply Chains, 40 Engineering, 35 Commerce, Management, Tourism and Services

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Attribution 4.0 International

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