Process modularity of mass customized manufacturing systems: principles, measures and assessment

The purpose is to establish Mass Customization (MC)-oriented Customer Demand Response (CDR) service platform based on Cloud Computing (CC) and the Internet of Things (IoT). Firstly, the MCoriented Demand Response (DR) process and the characteristics of CC are analyzed. Secondly, an MCoriented CDR service platform system based on CC and IoT is proposed. Finally, the edge-cloud collaborative computing method is used to maintain the efficiency and stability of the CC platform, and the proposed method is compared with other state-of-art algorithms to further prove its effectiveness. The results show that the parameters φ and V have a significant impact on the queue size and operation cost. Compared with other methods, the operation cost of the proposed edge-cloud collaborative computing method is relatively low. Thus, the proposed edge-cloud collaborative computing method is more applicable in high-speed and low-speed data; it can also improve the resource utilization of the Data Center (DC) and reduce the operation cost. The research results provide a basis for the establishment of the MCoriented CDR service platform.

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“…MC must be realized by the Internet, and the operation modes of Internet-based MC are as follows [23][24][25]:…”

Section: A Overview Of MCmentioning

confidence: 99%

Mass Customization-Oriented Customer Demand Response Service Platform Based on Cloud Computing and Internet of Things

Hong-yi

Fan

2022

IEEE Access

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“…Even though this indicator was originally dedicated to quantify degree of product modularity, its applicability for process modularity has been already proved in the work of [48]. To demonstrate its applicability on MAP process structures, let us use the selected process structure shown in Figure 4.…”

Section: Singular Value Modularity Indexmentioning

confidence: 99%

Development of the Modularity Measure for Assembly Process Structures

Modrák

Šoltysová

2021

Mathematical Problems in Engineering

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This study is aimed at exploring the problem of quantification of process modularity degree. Modularity as a system design principle is apprehended here as the extent to which processes can be decomposed into modules to be executed in parallel and/or in series. For this purpose, a new method is proposed to measure relative modularity of different assembly process structures. This method is compared with other relative modularity measures, namely singular value modularity index, degree of process module, and process module independence, in order to verify its effectiveness. For this purpose, selected representative types of assembly process structures are used. This testing proved that the proposed relative modularity indicator for manufacturing and/or assembly process structures reflects the expected system property in adequate way.

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“…As argued by Wilson et al (2020), small-scale granular (or modular) technology offers higher potential of efficiency gains, faster diffusion, lower investment risk, faster learning and faster decarbonisation. Quantifiable indicators for level of modularity could depend on case by case basis for product modularity and process modularity (Modrak and Soltysova, 2018). The final assessment parameter for technological dimension is decoupling potential of technology in terms of decoupling economic growth and consumption of energy and resources.…”

Section: Technological Dimensionmentioning

confidence: 99%

Green growth or degrowth? Evaluating the potential of technology for sustainability

Pyakurel¹

2021

Economics and Policy of Energy and the Environment

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The raging debate between green growth and degrowth continues. Technology is a focal point in this debate as the advocates of green growth and degrowth have contradictory views on the roles and impacts of technology on environment and society. Green growth advocates believe that technology can allow indefinite growth while simultaneously ensuring environmental and societal sustainability, whereas the degrowth advocates argue that technological progress cannot allow indefinite growth. These views are largely opinion based rather than informed by objective and systematic analyses because comprehensive tools to evaluate the roles and impacts of technology on environment and society do not yet exist. This paper develops a much-needed framework to comprehensively evaluate the roles of technology on environment and society by analysing the interactions among the dimensions of technology, environment, economy and society. Key parameters that characterise technology are proposed for its evaluation and the policy implications of technological evaluations are examined. Finally, potential future research directions are explored. The technological evaluation approach proposed in this paper has a potential to significantly advance the green growth versus degrowth debate.

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Process modularity of mass customized manufacturing systems: principles, measures and assessment

Cited by 22 publications

References 13 publications

Mass Customization-Oriented Customer Demand Response Service Platform Based on Cloud Computing and Internet of Things

Mass Customization-Oriented Customer Demand Response Service Platform Based on Cloud Computing and Internet of Things

Development of the Modularity Measure for Assembly Process Structures

Green growth or degrowth? Evaluating the potential of technology for sustainability

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