scholarly journals Generic Design Methodology for Smart Manufacturing Systems from a Practical Perspective, Part I—Digital Triad Concept and Its Application as a System Reference Model

Machines ◽  
2021 ◽  
Vol 9 (10) ◽  
pp. 207
Author(s):  
Zhuming Bi ◽  
Wen-Jun Zhang ◽  
Chong Wu ◽  
Chaomin Luo ◽  
Lida Xu
Keyword(s):  
System Design ◽  
Manufacturing Systems ◽  
Reference Model ◽  
Systems Design ◽  
Smart Manufacturing ◽  
Systematic Research ◽  
Design Methodologies ◽  
Axiomatic Design Theory ◽  
Generic Design ◽  
Smart Manufacturing Systems

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.

scholarly journals Generic Design Methodology for Smart Manufacturing Systems from a Practical Perspective. Part II—Systematic Designs of Smart Manufacturing Systems

Machines ◽  
2021 ◽  
Vol 9 (10) ◽  
pp. 208
Author(s):  
Zhuming Bi ◽  
Wen-Jun Zhang ◽  
Chong Wu ◽  
Chaomin Luo ◽  
Lida Xu
Keyword(s):  
Design Methodology ◽  
Manufacturing Systems ◽  
Manufacturing System ◽  
Performance Metrics ◽  
Reference Model ◽  
Smart Manufacturing ◽  
Axiomatic Design Theory ◽  
Manufacturing Resources ◽  
Generic Design ◽  
Smart Manufacturing Systems

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.

Sustaining the Competitive Edge of Small to Medium Size Enterprises Through Innovative Manufacturing System Design

2014 ◽  
Author(s):  
Mohamed A. Gadalla
Keyword(s):  
System Design ◽  
Flexible Manufacturing ◽  
Manufacturing Systems ◽  
Manufacturing System ◽  
Smart Manufacturing ◽  
Medium Size ◽  
Market Conditions ◽  
Competitive Edge ◽  
Manufacturing System Design ◽  
Smart Manufacturing Systems

Increasing Small to Medium size Enterprises (SME’s) competitive edge requires continuously developing creative and novel methods and solutions. This paper presents a novel design for a manufacturing system named Smart Manufacturing Systems (SMS). The new design can be viewed as a modification to the Flexible Manufacturing System (FMS) to better suits continuously changing market conditions, which may lead a company to develop a more sustainable competitive edge. The new design address several issues in manufacturing system design that affect the competitiveness of the system such as: merger of different manufacturing processes, non-productive times, and to be able to performing economically under different market conditions.

Integrating fuzzy Kano model and fuzzy analytic hierarchy process to evaluate requirements of smart manufacturing systems

2019 ◽  
Vol 27 (3) ◽  
pp. 201-212 ◽  
Author(s):  
Yuanju Qu ◽  
Ming Xinguo ◽  
Siqi Qiu ◽  
Zhiwen Liu ◽  
Xianyu Zhang ◽  
...  
Keyword(s):  
Analytic Hierarchy Process ◽  
Manufacturing Systems ◽  
Fuzzy Analytic Hierarchy Process ◽  
Smart Manufacturing ◽  
Systematic Research ◽  
Kano Model ◽  
Analytic Hierarchy ◽  
Diagram Method ◽  
Smart Manufacturing Systems ◽  
Hierarchy Process

In this article, an integrated method is proposed for evaluating the requirements of smart manufacturing systems under the era of Industry 4.0 and Industrial Internet of Things. This method uses systematic research on identifying, classifying, and evaluating the requirements of smart manufacturing systems with uncertainty, multi-users, and multi-disciplines. The results of this article provide a procedure to capture the preferential SMSs-R and the framework of SMSs-R. First, this method provides a comprehensive requirement of smart manufacturing identified by questionnaire survey, document reviews, and the affinity diagram method. Second, the classification of SMSs-R considers the multi-user preference by the fuzzy Kano model. Third, the best non-fuzzy performance and fuzzy analytic hierarchy process method is used for evaluating and ranking the SMSs-R factor to solve the uncertain, vague, and preferential questions. Finally, we validated the effectiveness of the method through a real discrete manufacturing enterprise case.

scholarly journals A Model for Working Environment Monitoring in Smart Manufacturing

2021 ◽  
Vol 11 (6) ◽  
pp. 2850
Author(s):  
Dalibor Dobrilovic ◽  
Vladimir Brtka ◽  
Zeljko Stojanov ◽  
Gordana Jotanovic ◽  
Dragan Perakovic ◽  
...  
Keyword(s):  
Open Source ◽  
Student Teaching ◽  
Manufacturing Systems ◽  
Working Environment ◽  
Smart Manufacturing ◽  
Environment Monitoring ◽  
Application Development ◽  
Testing Platform ◽  
Proposed Model ◽  
Smart Manufacturing Systems

The growing application of smart manufacturing systems and the expansion of the Industry 4.0 model have created a need for new teaching platforms for education, rapid application development, and testing. This research addresses this need with a proposal for a model of working environment monitoring in smart manufacturing, based on emerging wireless sensor technologies and the message queuing telemetry transport (MQTT) protocol. In accordance with the proposed model, a testing platform was developed. The testing platform was built on open-source hardware and software components. The testing platform was used for the validation of the model within the presented experimental environment. The results showed that the proposed model could be developed by mainly using open-source components, which can then be used to simulate different scenarios, applications, and target systems. Furthermore, the presented stable and functional platform proved to be applicable in the process of rapid prototyping, and software development for the targeted systems, as well as for student teaching as part of the engineering education process.

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