Service oriented, holonic and multi-agent manufacturing systems for industry of the future : proceedings of SOHOMA 2020 / Theodor Borangiu, Damien Trentesaux, Paulo Leitão, Olivier Cardin, Samir Lamouri, editors.
2021
TS183
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Title
Service oriented, holonic and multi-agent manufacturing systems for industry of the future : proceedings of SOHOMA 2020 / Theodor Borangiu, Damien Trentesaux, Paulo Leitão, Olivier Cardin, Samir Lamouri, editors.
Meeting Name
ISBN
9783030693732 (electronic bk.)
3030693732 (electronic bk.)
9783030693725 (print)
3030693724
3030693732 (electronic bk.)
9783030693725 (print)
3030693724
Publication Details
Cham : Springer, 2021.
Language
English
Description
1 online resource (556 pages)
Item Number
10.1007/978-3-030-69373-2 doi
Call Number
TS183
Dewey Decimal Classification
670
Summary
The scientific theme of the book concerns Manufacturing as a Service (MaaS) which is developed in a layered cloud networked manufacturing perspective, from the shop floor resource sharing model to the virtual enterprise collaborative model, by distributing the cost of the manufacturing infrastructure - equipment, software, maintenance, networking - across all customers. MaaS is approached in terms of new models of service-oriented, knowledge-based manufacturing systems optimized and reality-aware, that deliver value to customer and manufacturer via Big data analytics, Internet of Things communications, Machine learning and Digital twins embedded in Cyber-Physical System frameworks. From product design to after-sales services, MaaS relies on the servitization of manufacturing operations such as: Design as a Service, Predict as a Service or Maintain as a service. The general scope of the book is to foster innovation in smart and sustainable manufacturing and logistics systems and in this context to promote concepts, methods and solutions for the digital transformation of manufacturing through service orientation in holonic and agent-based control with distributed intelligence. The books readership is comprised by researchers and engineers working in the manufacturing value chain area who develop and use digital control solutions in the Industry of the Future vision. The book also addresses to master and Ph. D. students enrolled in Engineering Sciences programs.
Note
International conference proceedings.
Includes author index.
Includes author index.
Access Note
Access limited to authorized users.
Source of Description
Online resource; title from PDF title page (SpringerLink, viewed March 29, 2021).
Series
Studies in computational intelligence ; v. 952.
Available in Other Form
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Table of Contents
Cloud networked models of knowledge-based intelligent control towards Manufacturing as a Service
About the applicability of IoT concept for classical manufacturing systems
An open-source machine vision framework for smart manufacturing control
Using cognitive technologies as cloud services for product quality control. A case study for greenhouse vegetables.
About the applicability of IoT concept for classical manufacturing systems
An open-source machine vision framework for smart manufacturing control
Using cognitive technologies as cloud services for product quality control. A case study for greenhouse vegetables.