A Bi-objective Model for the Cloud Manufacturing Configuration Design with Resilience and Disruption Risks. Issue 10 (2022)

• Record Type: Journal Article
• Authors: Arbabi, Hamidreza; Bozorgi-Amiri, Ali; Tavakkoli-Moghaddam, Reza; Rohaninejad, Mohammad
• Is Part Of: IFAC-PapersOnLine. Volume 55:Issue 10(2022)
• Page Start: 3244
• Page End: 3249
• Publication Date: 2022
• Subjects: Cloud manufacturing -- Resilient configuration design -- Business continuity management -- Resilience strategies -- Disruption risks; Automatic control -- Periodicals; 629.805
• DOI: 10.1016/j.ifacol.2022.10.139
• Languages: English
• ISSNs: 2405-8963

Abstract

Abstract: Given the fourth industrial revolution (i.e., Industry 4.0), a cloud manufacturing (CMfg) system is introduced as a modern service- and customer-centered manufacturing paradigm. This system incorporates the distributed manufacturing corporations to collaborate as an interconnected system and share their production capabilities or resources without any stoppages. In this regard, this paper develops a novel two-stage bi-objective mathematical model for designing resilient CMfg configuration by maximizing the platform's profit and maximizing the resilience level of the designed CMfg network. Three primary resilience indicators, including design quality, proactive capability, and reactive capability, are considered in the proposed model. Moreover, to evaluate the resilience level of the designed CMfg network, a new objective function is developed. An ε-constraint augmented (AUGMECON2) method is used to solve the bi-objective model. Furthermore, a simple maximum-likelihood sampling (MLS) method is used to reduce the number of possible scenarios. Finally, some in-depth analyses are carried out to illustrate and validate the performance of the proposed solution approach.