Title: Toward a framework for supply chain resilience

Authors: Inger Ehrenhuber; Horst Treiblmaier; Corinna Engelhardt-Nowitzki; Markus Gerschberger

Addresses: University of Applied Sciences Upper Austria, Wehrgrabengasse 1-3, 4400 Steyr, Austria ' University of Applied Sciences Upper Austria, Wehrgrabengasse 1-3, 4400 Steyr, Austria ' University of Applied Sciences Upper Austria, Wehrgrabengasse 1-3, 4400 Steyr, Austria ' University of Applied Sciences Upper Austria, Wehrgrabengasse 1-3, 4400 Steyr, Austria

Abstract: Volatile and unpredictable market conditions are likely to create considerable supply chain (SC) risks such as excess cost, lost sales due to delivery problems or quality impairments. Supply chain resilience, which can be described as a firm's capability to adequately handle unforeseen disturbances and retain or recapture a competitive state of business, is therefore essential for companies striving to achieve their business objectives. The purpose of this paper is to develop a framework which combines capabilities, enablers and objectives of resilience. This framework is based on a comprehensive literature review and systematically integrates research from hitherto separated strands of SC research. It connects various capabilities (changeability, innovativeness, flexibility, collaboration, visibility, and sensing) of SC resilience to companies' general objectives (survivability, sustainability, and robustness) and depicts organisational structure and processes as enabling factors.

Keywords: supply chain resilience; resilience enablers; resilience capabilities; resilience framework; supply chain management; SCM; literature review; changeability; innovativeness; flexibility; collaboration; visibility; sensing; survivability; sustainability; robustness; organisational structure; organisational processes.

DOI: 10.1504/IJSCOR.2015.075084

International Journal of Supply Chain and Operations Resilience, 2015 Vol.1 No.4, pp.339 - 350

Received: 25 Mar 2014
Accepted: 03 Jul 2014
Published online: 03 Mar 2016 *

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