Analysing Causal dependencies of composite service resilience in cloud manufacturing using resource-based theory and DEMATEL method

Abstract

ABSTRACTThe purpose of this paper is to construct a causal model of dimensions and their attributes that influence composite service resilience in Cloud manufacturing (CM) system. The composite services are regarded as critical components of CM to accomplish manufacturing jobs and are executed in a distributed, heterogeneous and autonomous environment with high uncertainty and dynamicity. The dimensions and attributes of the proposed model were first identified based on resource-based theory and related literature. Then, the DEMATEL technique was used to measure the strength of influence among the studied factors. The required data were collected through the questionnaires replied by experts from industry and academia. The results of data analysis indicate that virtual resource pool and elastic resource management have the most impact on composite service quality of resilience. This study presents a novel causal model to improve the existing knowledge on composite service resilience in the context of CM. Furthermore, the research findings provide system analysts and designers with a clear definition of composite service resilience. They are useful to design explicit strategies for improving the resilience level of the composite services at different layers of CM architecture in practice.