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Reengineering of Legacy Systems into Supply Chain Systems: Traditional Data Oriented versus Process Oriented Approaches

Reengineering of Legacy Systems into Supply Chain Systems: Traditional Data Oriented versus Process Oriented Approaches

Raul Valverde, Malleswara Talla
Copyright: © 2017 |Volume: 7 |Issue: 2 |Pages: 12
ISSN: 1947-9344|EISSN: 1947-9352|EISBN13: 9781522513261|DOI: 10.4018/IJOCI.2017040101
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MLA

Valverde, Raul, and Malleswara Talla. "Reengineering of Legacy Systems into Supply Chain Systems: Traditional Data Oriented versus Process Oriented Approaches." IJOCI vol.7, no.2 2017: pp.1-12. http://doi.org/10.4018/IJOCI.2017040101

APA

Valverde, R. & Talla, M. (2017). Reengineering of Legacy Systems into Supply Chain Systems: Traditional Data Oriented versus Process Oriented Approaches. International Journal of Organizational and Collective Intelligence (IJOCI), 7(2), 1-12. http://doi.org/10.4018/IJOCI.2017040101

Chicago

Valverde, Raul, and Malleswara Talla. "Reengineering of Legacy Systems into Supply Chain Systems: Traditional Data Oriented versus Process Oriented Approaches," International Journal of Organizational and Collective Intelligence (IJOCI) 7, no.2: 1-12. http://doi.org/10.4018/IJOCI.2017040101

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Abstract

The paper presents data oriented and process oriented models of legacy systems. It discusses the details of systems development and evolution models mainly aiming at an ongoing reengineering of legacy systems into supply chain systems. It proposes few strategies for reengineering of both data oriented model and process oriented models. The legacy systems often miss automatic interfaces to supply chain systems, so the article presents a strategy focusing on automatic update of data of the system. Likewise, the article also presents a strategy for process reengineering in order to integrate these legacy systems into supply chain systems. Finally, a legacy system is envisioned as a comprehensive mix of both data and process oriented, while proposing a gradual ongoing reengineering of both data structures and process methods.

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