Synchronized Decision-making and Control Method for Opti-state Execution of Dynamic Production Systems with Internet of Things

Research background: The aim of this paper is to synthesize and analyze existing evidence on artificial intelligence-based decision-making algorithms, industrial big data, and Internet of Things sensing networks in digital twin-driven smart manufacturing. Purpose of the article: Using and replicating data from Altair, Catapult, Deloitte, DHL, GAVS, PwC, and ZDNet we performed analyses and made estimates regarding cyber-physical system-based real-time monitoring, product decision-making information systems, and artificial intelligence data-driven Internet of Things systems in digital twin-based cyber-physical production systems. Methods: From the completed surveys, we calculated descriptive statistics of compiled data when appropriate. The data was weighted in a multistep process that accounts for multiple stages of sampling and nonresponse that occur at different points in the survey process. The precision of the online polls was measured using a Bayesian credibility interval. To ensure high-quality data, data quality checks were performed to identify any respondents showing clear patterns of satisficing. Test data was populated and analyzed in SPSS to ensure the logic and randomizations were working as intended before launching the survey. An Internet-based survey software program was utilized for the delivery and collection of responses. The sample weighting was accomplished using an iterative proportional fitting process that simultaneously balanced the distributions of all variables. The interviews were conducted online and data were weighted by five variables (age, race/ethnicity, gender, education, and geographic region) using the Census Bureau’s American Community Survey to reflect reliably and accurately the demographic composition of the United States. Confirmatory factor analysis was employed to test for the reliability and validity of measurement instruments. Findings & Value added: The way Internet of Things-based decision support systems, artificial intelligence-driven big data analytics, and robotic wireless sensor networks configure digital twin-driven smart manufacturing and cyber-physical production systems in sustainable Industry 4.0.

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BOCR-Modell automatisches Fahren in der Produktion/BOCR model for automatic driving in production systems – Methodology for systems engineering processing and display of multidimensional processes (part 3)

wt Werkstattstechnik online ◽

10.37544/1436-4980-2021-07-08-71 ◽

2021 ◽

Vol 111 (07-08) ◽

pp. 539-547

Author(s):

Moritz Schönauer

Keyword(s):

Decision Making ◽

Systems Engineering ◽

Production Systems ◽

Analytic Network Process ◽

Systems Methodology ◽

Technical Problems ◽

Automatic Driving ◽

Planning And Control ◽

Network Process ◽

And Control

Um für eine multidimensionale systemtechnische Problemstellung wie das automatische Fahren in der Produktion Handlungsempfehlungen zu generieren, wird im letzten Beitrag des dreiteiligen Forschungsvorhabens mit dem Analytic Network Process ein Entscheidungsnetzwerk konzipiert. Im Fokus des Beitrags steht die Entwicklung eines Entscheidungstools der Produktionsplanung und -steuerung, um die kumulierten Erkenntnisse der vorherigen Veröffentlichungen zum automatischen Fahren in der Produktion individuell zugänglich zu machen und die jeweils passendste Handlungsalternative aufzuzeigen.   The last contribution of the three-part research project designs a decision-making network using the analytic network process method to generate recommendations on how to solve multidimensional system-technical problems such as automatic driving in production systems. This paper focuses on developing a decision-making tool for production planning and control to make the accumulated findings of the previous publications on automatic driving in production individually accessible and to display the best options for problem solving.

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Linking decision-making research and cancer prevention and control: Important themes.

Health Psychology ◽

10.1037/0278-6133.24.4.s106 ◽

2005 ◽

Vol 24 (4, Suppl) ◽

pp. S106-S110 ◽

Cited By ~ 10

Author(s):

Kevin D. McCaul ◽

Ellen Peters ◽

Wendy Nelson ◽

Michael Stefanek

Keyword(s):

Decision Making ◽

Cancer Prevention ◽

Prevention And Control ◽

Cancer Prevention And Control ◽

And Control

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Supervision of dynamic systems: Monitoring, decision-making and control

PsycEXTRA Dataset ◽

10.1037/e506162009-045 ◽

2013 ◽

Author(s):

Ted N. White

Keyword(s):

Decision Making ◽

Dynamic Systems ◽

And Control

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Perencanaan Pengendalian Kualitas Produk Pakaian Bayi dengan Metode Six Sigma Pada CV. AGP

JEMAP ◽

10.24167/jemap.v3i1.2632 ◽

2020 ◽

Vol 3 (1) ◽

Author(s):

Albertus Reynaldo Kurniawan ◽

Bayu Prestianto

Keyword(s):

Quality Control ◽

Continuous Improvement ◽

Six Sigma ◽

Screen Printing ◽

Control Method ◽

Operational Performance ◽

Machine Maintenance ◽

Quality Product ◽

Break Time ◽

And Control

Quality control becomes an important key for companies in suppressing the number of defective produced products. Six Sigma is a quality control method that aims to minimize defective products to the lowest point or achieve operational performance with a sigma value of 6 with only yielding 3.4 defective products of 1 million product. Stages of Six Sigma method starts from the DMAIC (Define, Measure, Analyze, Improve and Control) stages that help the company in improving quality and continuous improvement. Based on the results of research on baby clothes products, data in March 2018 the percentage of defective products produced reached 1.4% exceeding 1% tolerance limit, with a Sigma value of 4.14 meaning a possible defect product of 4033.39 opportunities per million products. In the pareto diagram there were 5 types of CTQ (Critical to Quality) such as oblique obras, blobor screen printing, there is a fabric / head cloth code on the final product, hollow fabric / thin fabric fiber, and dirty cloth. The factors caused quality problems such as Manpower, Materials, Environtment, and Machine. Suggestion for consideration of company improvement was continuous improvement on every existing quality problem like in Manpower factor namely improving comprehension, awareness of employees in producing quality product and improve employee's accuracy, Strength Quality Control and give break time. Materials by making the method of cutting the fabric head, the Machine by scheduling machine maintenance and the provision of needle containers at each employees desk sewing and better environtment by installing exhaust fan and renovating the production room.

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Scham und Autonomie

Phänomenologische Forschungen ◽

10.28937/1000107811 ◽

2012 ◽

Vol 2012 (1) ◽

pp. 163-192

Author(s):

Sonja Rinofner-Kreidl

Keyword(s):

Decision Making ◽

Social Dynamics ◽

Self Esteem ◽

Self Determination ◽

Intentional Content ◽

Conceptual Clarification ◽

The Social ◽

Conventional Behavior ◽

And Control

Autonomy is associated with intellectual self-preservation and self-determination. Shame, on the contrary, bears a loss of approval, self-esteem and control. Being afflicted with shame, we suffer from social dependencies that by no means have been freely chosen. Moreover, undergoing various experiences of shame, our power of reflection turns out to be severly limited owing to emotional embarrassment. In both ways, shame seems to be bound to heteronomy. This situation strongly calls for conceptual clarification. For this purpose, we introduce a threestage model of self-determination which comprises i) autonomy as capability of decision-making relating to given sets of choices, ii) self-commitment in terms of setting and harmonizing goals, and iii) self-realization in compliance with some range of persistently approved goals. Accordingly, the presuppositions and distinctive marks of shame-experiences are made explicit. Within this framework, we explore the intricate relation between autonomy and shame by focusing on two questions: on what conditions could conventional behavior be considered as self-determined? How should one characterize the varying roles of actors that are involved in typical cases of shame-experiences? In this connection, we advance the thesis that the social dynamics of shame turns into ambiguous positions relating to motivation, intentional content,and actors’ roles.

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An Efficient Approach for Modeling and Control of a Quadrotor

Wasit Journal of Engineering Sciences ◽

10.31185/ejuow.vol4.iss2.44 ◽

2016 ◽

Vol 4 (2) ◽

pp. 1-16

Author(s):

Ahmed S. Khusheef

Keyword(s):

Pid Control ◽

Control Method ◽

Mechanical Design ◽

Loop Control ◽

Modeling And Control ◽

Loop Control System ◽

And Control ◽

Close Loop Control ◽

Close Loop Control System ◽

Made In

A quadrotor is a four-rotor aircraft capable of vertical take-off and landing, hovering, forward flight, and having great maneuverability. Its platform can be made in a small size make it convenient for indoor applications as well as for outdoor uses. In model there are four input forces that are essentially the thrust provided by each propeller attached to each motor with a fixed angle. The quadrotor is basically considered an unstable system because of the aerodynamic effects; consequently, a close-loop control system is required to achieve stability and autonomy. Such system must enable the quadrotor to reach the desired attitude as fast as possible without any steady state error. In this paper, an optimal controller is designed based on a Proportional Integral Derivative (PID) control method to obtain stability in flying the quadrotor. The dynamic model of this vehicle will be also explained by using Euler-Newton method. The mechanical design was performed along with the design of the controlling algorithm. Matlab Simulink was used to test and analyze the performance of the proposed control strategy. The experimental results on the quadrotor demonstrated the effectiveness of the methodology used.

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