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Improving Spatial Data Supply Chains: Learnings from the Manufacturing Industry

Authors:
Lesley Arnold

Keywords: Spatial Data; Supply Chain Management; Strategy; Traceability; Fit for Purpose

Abstract:
Government spatial data holdings are the basis of many Geographic Information System applications and users have come to depend on this information for reliable evidence-based decision making. However, many spatial data supply chains, particularly those that span multiple organisations and different levels of government, are not effective and users are having to make do with out-of-date and incomplete information. The manufacturing industry has a long history in supply chain analytics and well established models. This paper discusses five traits that have generated production efficiencies in manufacturing and can be applied to effectively produce spatial data that is fit for purpose in the user’s context. The successful supply chain traits are: a) formalized extended supply chain strategies; b) information metrics and measures; c) closed loops; d) traceability; and e) the ability to effectively communicate quality and purpose to end-users. A supply chain framework incorporating these traits is proposed for networks.

Pages: 137 to 145

Copyright: Copyright (c) IARIA, 2016

Publication date: April 24, 2016

Published in: conference

ISSN: 2308-393X

ISBN: 978-1-61208-469-5

Location: Venice, Italy

Dates: from April 24, 2016 to April 28, 2016