ANP-based quantification method for the smart manufacturing system design decomposition

2018 ◽  
Vol 76 (8) ◽  
pp. 6141-6157
Author(s):  
Hwa-Young Jeong
Author(s):  
David S. Cochran ◽  
Steve Hendricks ◽  
Jason Barnes ◽  
Zhuming Bi

This paper offers an extension of axiomatic design theory to ensure that leaders, managers, and engineers can sustain manufacturing systems throughout the product lifecycle. The paper has three objectives: to provide a methodology for designing and implementing manufacturing systems to be sustainable in the context of the enterprise, to define the use of performance metrics and investment criteria that sustain manufacturing, and to provide a systems engineering approach that enables continuous improvement (CI) and adaptability to change. The systems engineering methodology developed in this paper seeks to replace the use of the word “lean” to describe the result of manufacturing system design. Current research indicates that within three years of launch, ninety percent of “lean implementations” fail. This paper provides a methodology that leaders, managers, and engineers may use to sustain their manufacturing system design and implementation.


2021 ◽  
Vol 60 ◽  
pp. 119-137
Author(s):  
Jiewu Leng ◽  
Dewen Wang ◽  
Weiming Shen ◽  
Xinyu Li ◽  
Qiang Liu ◽  
...  

Author(s):  
Mohamed A. Gadalla

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.


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