Smart Manufacturing
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2021 ◽  
Vol 61 ◽  
pp. 338-350
Author(s):  
Weidong Shen ◽  
Tianliang Hu ◽  
Chengrui Zhang ◽  
Songhua Ma

2021 ◽  
Vol 61 ◽  
pp. 265-287
Author(s):  
Julio C. Serrano-Ruiz ◽  
Josefa Mula ◽  
Raúl Poler

Author(s):  
Galina Stepanovna Merzlikina

The article deals with the problems of assessing the economic efficiency of smart production and ways to resolve them. It has been found that Smart Manufacturing is currently becoming a goal in itself and a guarantor of successful development of industrial business. A comparative analysis of scientific publications to clarify the content of the concept of Smart Manufacturing is carried out, it is revealed that it is necessary to distinguish between intelligent and smart production, which are currently used as synonyms. Analysis of the practice of organizing smart manufacturing has shown that often the process of creating Smart Manufacturing pursues the goal of participating in a popular, useful process with the expectation of future “blurry” positive results; but there are also the actual results in the form of cost savings (better organization of the production process), an increase in production and an increase in labor productivity. All enterprises and organizations quite clearly understand the process of creating a specific smart production with detailing of individual stages, therefore, the specific goals of Smart Manufacturing should be specified taking into account a specific enterprise, but at the same time, standardized for the possibility of a comparative assessment of economic efficiency. It has been proved that traditional economic indicators of efficiency are used to assess the economic efficiency of Smart Manufacturing; but for the organization it is necessary to form a special system of performance indicators based on the theory of management by goals. It is determined that the main factor of Smart Manufacturing is innovative capital, since smart manufacturing is innovative by definition. Possible options for the formation and combination of goals and objectives of Smart Manufacturing and innovation capital are considered. The content and structure of the regulation for assessing the economic efficiency of Smart Manufacturing are proposed


Machines ◽  
2021 ◽  
Vol 9 (10) ◽  
pp. 208
Author(s):  
Zhuming Bi ◽  
Wen-Jun Zhang ◽  
Chong Wu ◽  
Chaomin Luo ◽  
Lida Xu

In a traditional system paradigm, an enterprise reference model provides the guide for practitioners to select manufacturing elements, configure elements into a manufacturing system, and model system options for evaluation and comparison of system solutions against given performance metrics. However, a smart manufacturing system aims to reconfigure different systems in achieving high-level smartness in its system lifecycle; moreover, each smart system is customized in terms of the constraints of manufacturing resources and the prioritized performance metrics to achieve system smartness. Few works were found on the development of systematic methodologies for the design of smart manufacturing systems. The novel contributions of the presented work are at two aspects: (1) unified definitions of digital functional elements and manufacturing systems have been proposed; they are generalized to have all digitized characteristics and they are customizable to any manufacturing system with specified manufacturing resources and goals of smartness and (2) a systematic design methodology has been proposed; it can serve as the guide for designs of smart manufacturing systems in specified applications. The presented work consists of two separated parts. In the first part of paper, a simplified definition of smart manufacturing (SM) is proposed to unify the diversified expectations and a newly developed concept digital triad (DT-II) is adopted to define a generic reference model to represent essential features of smart manufacturing systems. In the second part of the paper, the axiomatic design theory (ADT) is adopted and expanded as the generic design methodology for design, analysis, and assessment of smart manufacturing systems. Three case studies are reviewed to illustrate the applications of the proposed methodology, and the future research directions towards smart manufacturing are discussed as a summary in the second part.


Machines ◽  
2021 ◽  
Vol 9 (10) ◽  
pp. 207
Author(s):  
Zhuming Bi ◽  
Wen-Jun Zhang ◽  
Chong Wu ◽  
Chaomin Luo ◽  
Lida Xu

Rapidly developed information technologies (IT) have continuously empowered manufacturing systems and accelerated the evolution of manufacturing system paradigms, and smart manufacturing (SM) has become one of the most promising paradigms. The study of SM has attracted a great deal of attention for researchers in academia and practitioners in industry. However, an obvious fact is that people with different backgrounds have different expectations for SM, and this has led to high diversity, ambiguity, and inconsistency in terms of definitions, reference models, performance matrices, and system design methodologies. It has been found that the state of the art SM research is limited in two aspects: (1) the highly diversified understandings of SM may lead to overlapped, missed, and non-systematic research efforts in advancing the theory and methodologies in the field of SM; (2) few works have been found that focus on the development of generic design methodologies for smart manufacturing systems from the practice perspective. The novelty of this paper consists of two main aspects which are reported in two parts respectively. In the first part, a simplified definition of SM is proposed to unify the existing diversified expectations, and a newly developed concept named digital triad (DT-II) is adopted to define a reference model for SM. The common features of smart manufacturing systems in various applications are identified as functional requirements (FRs) in systems design. To model a system that is capable of reconfiguring itself to adapt to changes, the concept of IoDTT is proposed as a reference model for smart manufacturing systems. In the second part, these two concepts are used to formulate a system design problem, and a generic methodology, based on axiomatic design theory (ADT), is proposed for the design of smart manufacturing systems.


2021 ◽  
Author(s):  
Yuqian Lu ◽  
Juvenal Sastre Adrados ◽  
Saahil Chand ◽  
Lihui Wang

<p>Smart manufacturing is characterized by self-organizing manufacturing systems and processes that can respond to dynamic changes. We envision the rapid advancement of smart machines with empathy skills will enable anthropocentric human-machine teams that can maximize human flexibility and wellness at work while maintaining the required manufacturing productivity and stability. In this paper, we present a future-proofing human-machine symbiosis framework that features human centrality, social wellness, and adaptability. The essential technical challenges and methods are discussed in detail.</p>


2021 ◽  
Vol 13 (18) ◽  
pp. 10181
Author(s):  
Marcel Rolf Pfeifer

This study investigates the application of a smart manufacturing execution system (SMES) based on the current controlling structure in a medium-sized company in the Czech Republic. Based on existing approaches on the architecture of SMESs, this paper develops a sample architecture grounded in the current controlling structure of small and medium-sized enterprises (SMEs). While only a few papers on approaches to the given topic exist, this approach makes use of operative production controlling data and uses a standardisation module to provide standardised data. The sample architecture was validated with a case study on a Czech SME. This case study was conducted on two different entities of one production company suggesting differences in the entities due to the nature of production. The research showed that simple tasks with intelligent welding equipment allow for a working SMES architecture, while complex assembly works with a high extent of human labour, and a high number of components still remain an obstacle. This research contributes to gathering more understanding of SMES architectures in SMEs by making use of a standardisation module.


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