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Published in: The International Journal of Advanced Manufacturing Technology 3-4/2020

27-02-2020 | ORIGINAL ARTICLE

Resource efficiency enhancement in sheet metal cutting industrial networks through cloud manufacturing

Authors: Alessandro Simeone, Bin Deng, Alessandra Caggiano

Published in: The International Journal of Advanced Manufacturing Technology | Issue 3-4/2020

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Abstract

In modern manufacturing industry, resource efficiency is negatively affected by the high fluctuations of demands within the global market. In this work, an intelligent cloud manufacturing platform is proposed to increase resource efficiency, productivity, and utilization rates in a smart manufacturing network by dynamically matching manufacturing services offers and requests through the broad sharing and on-demand delivery of distributed computational, software, digital, and physical manufacturing resources. The cloud platform is developed with particular reference to the sheet metal cutting sector and includes several modules. A database module is employed for users data input and storage. An intelligent assessment and optimization module performs the functional and geometrical assessments of the sheet metal cutting instances entered by customers and suppliers and makes use of a genetic algorithm to optimize the manufacturing solutions with specific attention to the surface utilization rate, as key performance index of resource efficiency. A decision-making module supports the supplier in the selection of the best production strategy and the customer in the evaluation and comparison of the best manufacturing solutions ranked according to the preferred criteria. To demonstrate the implementation of the proposed cloud manufacturing platform in a manufacturing network scenario, a case study including several customer and supplier instances is presented, showing the multiple manufacturing solutions proposed by the platform and the advantages in terms of industrial resource efficiency improvement.

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Metadata
Title
Resource efficiency enhancement in sheet metal cutting industrial networks through cloud manufacturing
Authors
Alessandro Simeone
Bin Deng
Alessandra Caggiano
Publication date
27-02-2020
Publisher
Springer London
Published in
The International Journal of Advanced Manufacturing Technology / Issue 3-4/2020
Print ISSN: 0268-3768
Electronic ISSN: 1433-3015
DOI
https://doi.org/10.1007/s00170-020-05083-6

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