A Simulation-Based Framework for Manufacturing Design and Resilience Assessment: A Case Study in the Wood Sector

Abstract

The advent of modern digital technologies offers new opportunities to improve the performance of manufacturing systems from design to monitoring and control during operation. At the same time, the recent COVID-19 pandemic has highlighted the fragility of all global supply chains and manufacturing systems. In this paper, a simulation-based framework, exploiting the benefits of the digital model concept, is proposed. It aims at: (1) supporting manufacturing design to effectively start a new business, (2) assessing the resilience of a manufacturing system in the face of disruptions, (3) evaluating the goodness of possible strategies to deal with COVID-like crises. The validity of the proposed framework is successfully demonstrated through a real-life case study, referring to the wood sector. The results show that a lack of system preparedness can lead to productivity reductions of up to 31.8%. At the same time, having the ability to react to unexpected events can limit damage and increase productivity by 26% compared to not reacting.

Are metaverse applications in quality 4.0 enablers of manufacturing resiliency? An exploratory review under disruption impressions and future research

“…Of note, academics concur that long-standing MFGRES antecedents benefit businesses in overcoming disruptions. For example, according to some research (Bianco et al ., 2023; Longo et al ., 2022), transparency and communication have been essential antecedents for supporting MFGRES throughout this crisis. Accordingly, by utilizing cutting-edge virtual technologies and digital transformation, manufacturers could maintain operational effectiveness, adjust to disruptions and guarantee product quality and customer loyalty in a rapidly changing environment (Fast-Berglund et al ., 2018; Yao et al ., 2022).…”

“…The MFGRES framework identifies manufacturing (re-)configuration capabilities, agility, communication and a supporting MFGRM culture as key enablers for differentiating MFGRES antecedents. Numerous academics, with some variation, have supported this central idea (Dwaikat et al ., 2022; Hosseini et al ., 2016; Longo et al ., 2022; Sheth and Kusiak, 2022). We find that the majority of the articles in our sample identify techniques to improve agility (∼67%) and (re-)configuration capacities (∼43%).…”

Enhancing Digital Twins of Semi-Automatic Production Lines by Digitizing Operator Skills

“…These technologies may include smart human sensoring and digitization, processes simulation and planning, and safety simulation and monitoring. As an example, digital twins, one of these emerging technologies, have been recently employed for modeling, simulating, and optimizing manufacturing processes as presented in [4].…”