Using an Integrated Humanitarian Supply Chain EPR System to Improve Refugee Flow Management:A Conceptual Framework and Validation

Abstract

Effective coordination of relief efforts of organizations in the Humanitarian Supply Chain (HSC) is a challenge facing various organizations and stakeholders. Despite the importance of information sharing along the HSC, limited previous studies attempted to develop feasible information systems capable of facilitating the effective resource planning and inter-organizational coordination for better relief actions. This study proposes an integrated HSC Enterprise Resource Planning (ERP) system that utilizes the capabilities of the existing Maritime Transport Security Information Systems so as to improve lean operations of HSCs, and to optimize resources planning and usage during the stochastic assignment of accepting refugees and accommodating them in their journey to safer destinations. This paper introduces the conceptual framework of this integrated ERP system and validates the feasibility of this framework in the context of the Greek refugee crisis, involving perspectives of stakeholders in the Greek refugee crisis.

Publication DOI: https://doi.org/10.1080/09537287.2020.1834134
Divisions: College of Engineering & Physical Sciences > School of Infrastructure and Sustainable Engineering > Engineering Systems and Supply Chain Management
College of Engineering & Physical Sciences > Aston Logistics and Systems Institute
College of Engineering & Physical Sciences
College of Business and Social Sciences > Aston Business School > Marketing & Strategy
College of Business and Social Sciences > Aston Business School
Additional Information: This is an Accepted Manuscript of an article published by Taylor & Francis Group in Production Planning & Control on 19 Oct 2020, available online at: http://www.tandfonline.com/10.1080/09537287.2020.1834134
Uncontrolled Keywords: Humanitarian supply chain,collaboration,information sharing,lean,responsiveness,Computer Science Applications,Strategy and Management,Management Science and Operations Research,Industrial and Manufacturing Engineering
Publication ISSN: 1366-5871
Last Modified: 07 Nov 2024 08:11
Date Deposited: 30 May 2019 08:39
Full Text Link:
Related URLs: https://www.tan ... 87.2020.1834134 (Publisher URL)
http://www.scop ... tnerID=8YFLogxK (Scopus URL)
PURE Output Type: Article
Published Date: 2020-10-19
Published Online Date: 2020-10-19
Accepted Date: 2019-05-20
Authors: Koliousis, Ioannis
He, Qile
Wu, Qiang (ORCID Profile 0000-0002-0914-6757)
Sarpong, David (ORCID Profile 0000-0002-1533-4332)

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