Industry 4.0: contributions of holonic manufacturing control architectures and future challenges

Derigent, William; Cardin, Olivier; Trentesaux, Damien

doi:10.1007/s10845-020-01532-x

Cited by 86 publications

(54 citation statements)

References 93 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Nowadays, the fourth industrial revolution develops highly connected resources, integrates smart components and enables interoperability in cyber-physical systems (CPSs) in the twenty-first century (Campbell 2021 ; Cruz Salazar et al, 2019 ; Derigent et al, 2020 ; Duque et al, 2019 ; Pereira Pessôa & Jauregui Becker, 2020 ). The changes that trigger Industry 4.0 have impacted different domains throughout the value chain.…”

Section: Human-centred Design In Industry 40mentioning

confidence: 99%

Human-centred design in industry 4.0: case study review and opportunities for future research

2021

View full text Add to dashboard Cite

The transition to industry 4.0 has impacted factories, but it also affects the entire value chain. In this sense, human-centred factors play a core role in transitioning to sustainable manufacturing processes and consumption. The awareness of human roles in Industry 4.0 is increasing, as evidenced by active work in developing methods, exploring influencing factors, and proving the effectiveness of design oriented to humans. However, numerous studies have been brought into existence but then disconnected from other studies. As a consequence, these studies in industry and research alike are not regularly adopted, and the network of studies is seemingly broad and expands without forming a coherent structure. This study is a unique attempt to bridge the gap through the literature characteristics and lessons learnt derived from a collection of case studies regarding human-centred design (HCD) in the context of Industry 4.0. This objective is achieved by a well-rounded systematic literature review whose special unit of analysis is given to the case studies, delivering contributions in three ways: (1) providing an insight into how the literature has evolved through the cross-disciplinary lens; (2) identifying what research themes associated with design methods are emerging in the field; (3) and setting the research agenda in the context of HCD in Industry 4.0, taking into account the lessons learnt, as uncovered by the in-depth review of case studies.

show abstract

Section: Human-centred Design In Industry 40mentioning

confidence: 99%

Human-centred design in industry 4.0: case study review and opportunities for future research

2021

View full text Add to dashboard Cite

show abstract

“…Reviews of agent-based manufacturing are presented by [15] and [16]. The contributions of holonic manufacturing to Industry 4.0 are examined by [17]. Although agent-based and holonic manufacturing provide clear benefits, in particular in terms of flexibility and robustness, there are still barriers to their widespread industrial adoption.…”

Section: Manufacturing Paradigms Enabling System Changesmentioning

confidence: 99%

Design of a self-learning multi-agent framework for the adaptation of modular production systems

Scrimieri

Afazov

Ratchev

2021

Int J Adv Manuf Technol

View full text Add to dashboard Cite

This paper presents the design of a multi-agent framework that aids engineers in the adaptation of modular production systems. The framework includes general implementations of agents and other software components for self-learning and adaptation, sensor data analysis, system modelling and simulation, as well as human-computer interaction. During an adaptation process, operators make changes to the production system, in order to increase capacity or manufacture a product variant. These changes are automatically captured and evaluated by the framework, building an experience base of adjustments that is then used to infer adaptation knowledge. The architecture of the framework consists of agents divided in two layers: the agents in the lower layer are associated with individual production modules, whereas the agents in the higher layer are associated with the entire production line. Modelling, learning, and adaptations can be performed at both levels, using a semantic model to specify the structure and capabilities of the production system. An evaluation of a prototype implementation has been conducted on an industrial assembly system. The results indicate that the use of the framework in a typical adaptation process provides a significant reduction in time and resources required.

show abstract

“…The second factor is the unpredictability of the environment in which the I-CPHS operates. As such it is very challenging to embed in the traditional way, at the design phase of the I-CPHS, a full set of capabilities to detect, identify and react to all the possible situations or all the possible states and events that the I-CPHS will face (Derigent et al 2020), putting ethics at risks as well. To handle this factor, I-CPHS can be fueled by artificial intelligence (AI) techniques that enable the digital components of these I-CPHS to learn (both collectively and on the specific operational environment) and adapt to these highly dynamic environments and unexpected events.…”

Section: Introductionmentioning

confidence: 99%

Engineering ethical behaviors in autonomous industrial cyber-physical human systems

Trentesaux

Karnouskos

2021

Cogn Tech Work

Self Cite

View full text Add to dashboard Cite

This paper addresses the engineering of the ethical behaviors of autonomous industrial cyber-physical human systems in the context of Industry 4.0. An ethical controller is proposed to be embedded into these autonomous systems, to enable their successful integration in the society and its norms. This proposed controller that integrates machine ethics is realized through three main strategies that utilize two ethical paradigms, namely deontology, and consequentialism. These strategies are triggered according to the type of event sensed and the state of the autonomous industrial cyber-physical human systems, their combination being potentially unknown or posing ethical dilemmas. Two case studies are investigated, that deal with a fire emergency, and two different contexts i.e. one with an autonomous train, and one with an autonomous industrial plant, are discussed to illustrate the controller utilization. The case studies demonstrate the potential benefits and exemplify the need to integrate ethical behaviors in autonomous industrial cyber-physical human systems already at the design phase. The proposed approach, use cases, and discussions make evident the need to address ethical aspects in new efforts to engineer industrial systems in the context of Industry 4.0.

show abstract

Industry 4.0: contributions of holonic manufacturing control architectures and future challenges

Cited by 86 publications

References 93 publications

Human-centred design in industry 4.0: case study review and opportunities for future research

Human-centred design in industry 4.0: case study review and opportunities for future research

Design of a self-learning multi-agent framework for the adaptation of modular production systems

Engineering ethical behaviors in autonomous industrial cyber-physical human systems

Contact Info

Product

Resources

About