A hybrid simulation-based assessment framework of smart manufacturing systems

Nagadi, Khalid; Rabelo, Luis; Basingab, Mohammed; Sarmiento, Alfonso T.; Jones, Albert; Rahal, Ahmad

doi:10.1080/0951192x.2017.1407449

Cited by 31 publications

(28 citation statements)

References 69 publications

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“…However, focusing on the key technologies only would not mitigate the difficulties because few studies have discussed the configuration challenges prior to implementation while establishing new SMS [18]- [20]. Configuration involves identifying required machines, their quantities, and the workflow between machines, as well as the required technologies [19]. In addition, an evaluation for a selected configuration needs to be conducted prior to implementation too.…”

Section: Related Workmentioning

confidence: 99%

“…The first main component of the process is system configuration. System configuration involves identifying required machines, their quantities, and the workflow between machines [19], as well as the required technologies such as IoT, Big Data, Cloud computing, and AI techniques. Good configurations contribute towards the overall success of SMS projects, while poor configurations may cause late or over budgeted projects as configuration is the first phase in establishing SMS and any defects will result in failure that requires re-work in all phases.…”

Section: Introductionmentioning

confidence: 99%

“…While multi-criteria decision making models is used to determine the configuration of the SMS. However, these two models are not sufficient to solve the configuration problems due to an absence of an integrated framework that can consider different scenarios based on the market demand [19] [26]. The integrated frameworks could include other AI techniques such as agent-based modeling and simulation [56]- [58] where agents are designed to handle each resource autonomously [45], [46], [53], [55], [60], which offer flexibility for each resource to collaborate/coordinate/negotiate with each other to achieve the desired goal efficiently [47], [48], [51], [52].…”

Section: Introductionmentioning

confidence: 99%

“…According to SME Corp Malaysia [23], of which the first and main pillar is the simulation part that constitute the nine pillars of SMS. Therefore, a simulation tool can assist in specifying the right configuration of a particular www.ijacsa.thesai.org SMS project [19]. A Simulation is useful when the phenomenon to be studied is not directly accessible or is difficult to observe directly [24].…”

Section: Introductionmentioning

confidence: 99%

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Towards the Adoption of Smart Manufacturing Systems: A Development Framework

Mahmoud¹,

Grace

2019

IJACSA

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Today, a new era of manufacturing innovation is introduced as Smart Manufacturing Systems (SMS) or Industry 4.0. Many studies have discussed the different characteristics and technologies associated with SMS, however, little attention has been devoted to study the development process when establishing new SMS. The study's objective is to propose a development framework that increases the adoption and awareness of Industry 4.0 among manufacturers and aids decision-makers in designing better SMS capabilities. The framework consists of three phases, iterative process of application modelling; evaluation to ensure optimal configuration and adoption; and finally implementation. The proposed framework is hoped to assist the industries' management in planning for the adoption of technology, in establishing SMS or assessing the need in existing ones. Indirectly, more industry will gain the benefits as a support for their initiatives to transform into Industry 4.0.

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Section: Related Workmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Towards the Adoption of Smart Manufacturing Systems: A Development Framework

Mahmoud¹,

Grace

2019

IJACSA

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“…In the CSF configuration, the logical mapping and cyber-physical mapping of PSF and CSF will build a Digital Twin model of the physical production system, together with relevant data channels. The bi-directional interaction and interoperability between the PSF and CSF can simulate synchronously the actual statuses to support efficient production control, rapid disturbance response and flexible production configuration of smart factories (Nagadi et al 2018, Wang et al 2016a. Third, the operating mechanism of DT-CPPS is proposed for synchronisation and interoperability between PSF and CSF.…”

Section: Introductionmentioning

confidence: 99%

Defining a Digital Twin-based Cyber-Physical Production System for autonomous manufacturing in smart shop floors

Ding

Chan

Zhang

et al. 2019

International Journal of Production Research

328

106

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Smart manufacturing is the core idea of the fourth industrial evolution. For a smart manufacturing shop floor, real-time monitoring, simulation and prediction of manufacturing operations are vital to improve the production efficiency and flexibility. In this paper, the Cyber-Physical System (CPS) and Digital Twin technologies are introduced to build the interconnection and interoperability of a physical shop floor and corresponding cybershop floor. A Digital Twin-based Cyber-Physical Production System (DT-CPPS) is further established, and the configuring mechanism, operating mechanism and real-time data-driven operations control of DT-CPPS are discussed in detail. It is expected that DT-CPPS will provide the basis for shop floors to march towards smart manufacturing.

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