Designing intelligent manufacturing systems through Human-Machine Cooperation principles: A human-centered approach

Pacaux‐Lemoine, Marie‐Pierre; Trentesaux, Damien; Rey, Gabriel Zambrano; Millot, Patrick

doi:10.1016/j.cie.2017.05.014

Cited by 240 publications

(130 citation statements)

References 41 publications

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“…Due to the insertion of intelligent processes in the industries, it will be operator's job to monitor and supervise the production systems, with the aid of specific software and technologies (Wittenberg, 2016;Lalanda;Morand;Chollet, 2017;Pacaux-Lemoine et al, 2017).…”

Section: Competencies For Industry 40 In the Industry Manufacturingmentioning

confidence: 99%

Technology Transfer and Human Capital in the Industrial 4.0 Scenario: A Theoretical Study

Silva

Kovaleski

Pagani

2019

FSRJ

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In face of the technological changes derived from Industry 4.0, an initial, gradual and complex process of Technology Transfer (TT) is taking place that strongly relies on the integration between university, industry, and government. In this context, in order to make the Industry 4.0 approach a reality, several requirements need to be met. One of them is the need to qualify people to work in industries. This study aimed to explore the possible changes and perspectives of human work in Industry 4.0. A systematic literature review was carried out following a structured script. 50 were chosen for content analysis, following criteria for qualification and selection of studies. As a result, a number of changes in human skills and tasks, as well as job prospects, were found, standing out the greater flexibility of people, ability for decision-making, among others.

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Section: Competencies For Industry 40 In the Industry Manufacturingmentioning

confidence: 99%

Technology Transfer and Human Capital in the Industrial 4.0 Scenario: A Theoretical Study

Silva

Kovaleski

Pagani

2019

FSRJ

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“…Further, researchers have proposed that an IMS should implement differentiated production of product attributes with the aim of solving the special needs of customers [9,21,22]. e integration of manufacturing technology and production equipment is very critical for enhancing customization capability [23]. e reconfigurability of intelligent manufacturing system helps to meet the individual needs [24].…”

Section: Literature Reviewmentioning

confidence: 99%

Decision Making for Principal‐Agent Contracts in Intelligent Customization for New Energy Equipment

Meng

Song

Zhao

2019

Mathematical Problems in Engineering

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Intelligent manufacturing is a sustainable impetus to development of customization for new energy equipment. Reasonable principal-agent contract decision making can play a positive role in improving utility for customers and securing their long-term involvement. This paper establishes a multistage principal-agent model of intelligent customization for new energy equipment. The principal-agent and intelligent customization decisions, yielding risk avoidance and a better cost-benefit ratio, emerged from solving the model. A decision modification mechanism, used to improve intelligent customization output and consolidate customer trust, was proposed for agents. Research shows that overavoidance of customization risk by new energy equipment manufacturers reduces the efficiency of intelligent customization and aggravates the cost-benefit dilemma. Viewing intelligent customization as a long-term cooperative process, manufacturers can achieve a larger increase in equipment customization output at a smaller cost and enhance customer trust by adopting such a decision modification mechanism. The effect of this mechanism is obvious when the risk intensity is low. However, under the assumption of a multistage model, improvement of customer utility is mainly influenced by risk controllability. This paper provides solutions to the risk avoidance and cost-benefit dilemma problems of intelligent customization. The static principal-agent model was improved to a multistage model by setting the timeline. Long-term effectiveness of the decision modification mechanism was verified using this multistage model.

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“…The function of clients in the system is performed by the SCADA system and software environment Matlab. In this approach, the SCADA system provides for the function of the human-machine interface, and all the necessary calculations are performed in software environment Matlab [14]. As a result, control algorithms will be supplemented with new data regarding the mathematical model, which will make it possible to provide for solution of the problem of minimizing the temperature mode of the ARU evaporator of the secondary condensation unit.…”

Section: Cg 1cgmentioning

confidence: 99%

Identification of heat exchange process in the evaporators of absorption refrigerating units under conditions of uncertainty

Babichenko

Kravchenko

et al. 2018

EEJET

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Designing intelligent manufacturing systems through Human-Machine Cooperation principles: A human-centered approach

Cited by 240 publications

References 41 publications

Technology Transfer and Human Capital in the Industrial 4.0 Scenario: A Theoretical Study

Technology Transfer and Human Capital in the Industrial 4.0 Scenario: A Theoretical Study

Decision Making for Principal‐Agent Contracts in Intelligent Customization for New Energy Equipment

Identification of heat exchange process in the evaporators of absorption refrigerating units under conditions of uncertainty

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