Emergent synthetic approach for management of complexity in production systems

Industry 4.0 gives guidelines to drive production to overcome the consequences of the 2008 crisis in the manufacturing sector by emphasizing technological innovations, such as industrial internet, cloud manufacturing, etc. The proposed paper focuses on cognitive manufacturing within the framework of...

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Autor principal:	D.M. D’Addona
Formato:	article
Lenguaje:	EN
Publicado:	Taylor & Francis Group 2019
Materias:	tool management inventory sizing dilemma bounded rationality supply chain multi-agent systems Engineering (General). Civil engineering (General) TA1-2040
Acceso en línea:	https://doaj.org/article/d8a068bb126a4563b903008e83058477
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id	oai:doaj.org-article:d8a068bb126a4563b903008e83058477
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spelling	oai:doaj.org-article:d8a068bb126a4563b903008e830584772021-11-04T15:51:56ZEmergent synthetic approach for management of complexity in production systems2331-191610.1080/23311916.2019.1684174https://doaj.org/article/d8a068bb126a4563b903008e830584772019-01-01T00:00:00Zhttp://dx.doi.org/10.1080/23311916.2019.1684174https://doaj.org/toc/2331-1916Industry 4.0 gives guidelines to drive production to overcome the consequences of the 2008 crisis in the manufacturing sector by emphasizing technological innovations, such as industrial internet, cloud manufacturing, etc. The proposed paper focuses on cognitive manufacturing within the framework of the Emergent Synthesis approach. Specifically, a Class III synthesis problem with reference to tool inventory management in a complex manufacturing environment is addressed. Such complex environment is proved to be affected by significant non-random uncertainty involving tool delivery time fluctuations and unpredictable tool demand. To deal with the complexity of the manufacturing environment, this paper presents bounded rationality as a characteristic of agents. The purpose of the implemented multi-agent manufacturing model is to manage the uncertainty in the perception, action and inner structure of the manufacturing system by introducing bounded rationality in agent characteristics and the probability–possibility transformation of historical data. The applicability and efficiency of the developed multi-agent manufacturing model are investigated in a real industrial case study. The results indicate that the complexity of a manufacturing system can be studied and solved as Class III synthesis problem and it is helpful to integrate bounded-rational agents in a multi-agent system.D.M. D’AddonaTaylor & Francis Grouparticletool managementinventory sizing dilemmabounded rationalitysupply chainmulti-agent systemsEngineering (General). Civil engineering (General)TA1-2040ENCogent Engineering, Vol 6, Iss 1 (2019)
institution	DOAJ
collection	DOAJ
language	EN
topic	tool management inventory sizing dilemma bounded rationality supply chain multi-agent systems Engineering (General). Civil engineering (General) TA1-2040
spellingShingle	tool management inventory sizing dilemma bounded rationality supply chain multi-agent systems Engineering (General). Civil engineering (General) TA1-2040 D.M. D’Addona Emergent synthetic approach for management of complexity in production systems
description	Industry 4.0 gives guidelines to drive production to overcome the consequences of the 2008 crisis in the manufacturing sector by emphasizing technological innovations, such as industrial internet, cloud manufacturing, etc. The proposed paper focuses on cognitive manufacturing within the framework of the Emergent Synthesis approach. Specifically, a Class III synthesis problem with reference to tool inventory management in a complex manufacturing environment is addressed. Such complex environment is proved to be affected by significant non-random uncertainty involving tool delivery time fluctuations and unpredictable tool demand. To deal with the complexity of the manufacturing environment, this paper presents bounded rationality as a characteristic of agents. The purpose of the implemented multi-agent manufacturing model is to manage the uncertainty in the perception, action and inner structure of the manufacturing system by introducing bounded rationality in agent characteristics and the probability–possibility transformation of historical data. The applicability and efficiency of the developed multi-agent manufacturing model are investigated in a real industrial case study. The results indicate that the complexity of a manufacturing system can be studied and solved as Class III synthesis problem and it is helpful to integrate bounded-rational agents in a multi-agent system.
format	article
author	D.M. D’Addona
author_facet	D.M. D’Addona
author_sort	D.M. D’Addona
title	Emergent synthetic approach for management of complexity in production systems
title_short	Emergent synthetic approach for management of complexity in production systems
title_full	Emergent synthetic approach for management of complexity in production systems
title_fullStr	Emergent synthetic approach for management of complexity in production systems
title_full_unstemmed	Emergent synthetic approach for management of complexity in production systems
title_sort	emergent synthetic approach for management of complexity in production systems
publisher	Taylor & Francis Group
publishDate	2019
url	https://doaj.org/article/d8a068bb126a4563b903008e83058477
work_keys_str_mv	AT dmdaddona emergentsyntheticapproachformanagementofcomplexityinproductionsystems
_version_	1718444680848343040

Emergent synthetic approach for management of complexity in production systems

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