Source: Article
Industry 4.0 and World Class Manufacturing
Integration: 100 Technologies for a WCM-I4.0 Matrix
Lorenzo D’Orazio, Roberto Messina and Massimiliano M. Schiraldi *
Department of Enterprise Engineering, Tor Vergata University of Rome, Via del Politecnico, 00133 Rome, Italy;
MDPI
Applied Sciences
Appl. Sci. 2020, 10, 4942; doi:10.3390/app10144942
100 Technologies for a World Class Manufacturing - Industry 4.0 Matrix
1 Automatic Real-Time Cloud-based Data Acquisition (Energy Consumption, Efficiency, Wear, Heat, Pollution, Noise, Workload, Product Data, Production Data, Competence)
2 S-EWO/EWO/HERCA recording with workplace device
3 Tag recording with workplace device
4 Real-Time Cloud-based automatic analytics
5 Cloud Database with WCM tools accessible with workplace device
6 Real-Time parameters monitoring with glass visualization
7 Recording of Bordereau and Scraps with workplace device
8 Alert systems for nonuse
9 Alarm systems for training needed
10 Automatic machine stop due to unsafe conditions
11 PPE check use with Camera
12 Automatic machine stop due to starving situation
13 Glass visualization of AM/CIRL/PM Calendar
14 Automatic Warning due to the missing of basic conditions
15 Assisted Control of Basic conditions with workplace device
16 Guided CIRL/AM(SMP)/PM/Operative Procedure (SOP/OPL) activities step by step
17 Glass visualization of dirt source
18 CIRL/AM/PM calendar visualization with workplace device
19 Dirt source monitoring
20 Lubrification Points Monitoring
21 Automatic warning on people on range due to machine anomalies Project building
22 WhatsApp messages of malfunctioning
23 Glass visualization of malfunctioning parts
24 Automatic Warning on next and previous machines of malfunctioning parts
25 Notice of planned CIRL/AM/PM activities
26 RFID objects identification and localization
27 RFID tags which store instructions for cleaning tools and objects
28 Glass visualization of where replace instruments
29 Substitution of physical shadow board with virtual board
30 Robot Collaborative/Exoskeletons support
31 AGV systems for bins and container transportation/picking activities
32 RFID tag with procedure instructions
33 Autonomous workload deployment among the machines
34 RFID tag embedded in unfinished products to prepare next machine production
35 Workload shift among stations given by real-time production data analysis
36 Automatic Machine configuration
37 IT Systems directly connected with MES and PLC
38 Glass visualization of unloading procedure goods for suppliers
39 Automatic request on workplace device of switching workstation
40 Operation tuning and better performance with 3D Printing Technology
41 Digital Platform—opportunity to allocate orders watching at suppliers’ capacity
42 AGV guided by machines needs indication
43 RFID tag on unfinished products to track them in real time
44 Continuous stock monitoring with RFID tag
45 Virtual CAD model on Kanban loops
46 Real-Time Kanban optimal size and frequency Simulation
47 Autonomous Kanban system among stations
48 Vocal/Maps interactive guide to find the SKU
49 Real-Time Simulation of picking activities path to have the faster one
50 Glass visualization of stock data
51 Forklift embedded of sensor mapping the human in the area
52 Automatic braking of forklift sensing a human in a close distance
53 Pedestrian equipped with map of forklift in movement
54 Cloud-based shipping slot booking
55 Glass visualization of current component health status
56 HMI panel with procedure to solve anomalies by operator
57 Automatic call of the machine to maintainer
58 Machine learning abilities to learn how to solve new anomalies
59 Machine Learning to prevent unsafe conditions
60 Automatic warning with workplace device of abnormal condition of the component
61 Machine learning Quality control for nonlinear defect’s pattern
62 Real-Time Cloud-based automatic analysis of component remaining life
63 Glass visualization of component remaining life
64 Vertical integration in a shared Digital online CAD Platform
65 Digital Twin plant simulation
66 Horizontal integration in a shared technical database
67 Plug and Play system to create a modular design of the machine
68 Simulation of workplace environment for risk assessment
69 Intelligent Cloud-based Checklist
70 Deep and Reinforcement Learning to predict component remaining life
71 Cloud Database with production engineer’s workload linked with Team
72 Alarm System for excessive workload
73 Automatic optimization of workload in a new scenario
74 Reminder system for ongoing project
75 Glass visualization for how to solve anomalies
76 Glass visualization of CIRL/AM/PM/SOP/OPL/SMP SMED procedure
77 Virtual Training Simulation (Machine Breakdown, WCM tools, SMED,
78 Efficiency Data on HMI and Workplace device
79 Tool/utilization glass—guided
80 Tips directly sent to Responsible
81 Tips status directly visible by operator with workplace device
82 Automatic Lighting of part to be handled/picked
83 Common shared Platform with other company’s plant
84 Automatic Scraps Categorization given by machine sensors
85 Automatic Warning of out of parameters process
86 Common shared Platform with Customer and Suppliers
87 Claim directly sent to Line Leader and Quality Manager
88 Glass Visualization of Product Defect
89 Line Process Simulation
90 Visual Camera Poka-Yoke and Product’s parameters monitoring
91 Virtual Test to assess competence with automatic gap definition and training needed
92 Machine Learning to prevent reworking and to set correct machine parameters
93 Online Test to assess competence with automatic gap definition and training needed
94 RFID Tag for each employer’s badge with his information
95 Automatic data analysis on absenteeism for machine and department
96 Automatic data analysis on absenteeism cause
97 Glass visualization of defects linear and nonlinear
98 Production pace tuning according to buffer levels
99 Simulation of workplace environment for ergonomic optimization
100 Glass visualization of heavy packs
Industry 4.0 - IIoT - Productivity Engineering
Industry 4.0 - IIoT - Productivity Management Implications and Applications.
More Details on 100 Technologies
1 Automatic Real-Time Cloud-based Data Acquisition (Energy Consumption, Efficiency, Wear, Heat, Pollution, Noise, Workload, Product Data, Production Data, Competence)
2 S-EWO/EWO/HERCA recording with workplace device
HERCA (Human Error Root Cause Analysis)
3 Tag recording with workplace device
In occupational health and safety, a tagging system is a system of recording and displaying the status of a machine or equipment, enabling staff to view whether it is in working order. It is a product of industry-specific legislation which sets safety standards for a particular piece of equipment, involving inspection, record-keeping, and repair. This sets standardized umbrella terms for equipment and machinery (e.g. machinery, scaffolding, forklift, cherry picker) to be deemed 'safe to use'.
4 Real-Time Cloud-based automatic analytics
5 Cloud Database with WCM tools accessible with workplace device
6 Real-Time parameters monitoring with glass visualization
7 Recording of Bordereau and Scraps with workplace device
8 Alert systems for nonuse
9 Alarm systems for training needed
10 Automatic machine stop due to unsafe conditions
11 PPE check use with Camera
12 Automatic machine stop due to starving situation
13 Glass visualization of AM/CIRL/PM Calendar
14 Automatic Warning due to the missing of basic conditions
15 Assisted Control of Basic conditions with workplace device
16 Guided CIRL/AM(SMP)/PM/Operative Procedure (SOP/OPL) activities step
by step
17 Glass visualization of dirt source
Simulation of Rear Glass and Body Side Vehicle Soiling by Road Sprays
https://www.researchgate.net/publication/245535293_Simulation_of_Rear_Glass_and_Body_Side_Vehicle_Soiling_by_Road_Sprays
18 CIRL/AM/PM calendar visualization with workplace device
19 Dirt source monitoring
20 Lubrification Points Monitoring
21 Automatic warning on people on range due to machine anomalies Project building
22 WhatsApp messages of malfunctioning
23 Glass visualization of malfunctioning parts
24 Automatic Warning on next and previous machines of malfunctioning parts
25 Notice of planned CIRL/AM/PM activities
26 RFID objects identification and localization
27 RFID tags which store instructions for cleaning tools and objects Procedure)
28 Glass visualization of where replace instruments
29 Substitution of physical shadow board with virtual board
30 Robot Collaborative/Exoskeletons support
31 AGV systems for bins and container transportation/picking activities
32 RFID tag with procedure instructions
33 Autonomous workload deployment among the machines
34 RFID tag embedded in unfinished products to prepare next machine production
35 Workload shift among stations given by real-time production data analysis
36 Automatic Machine configuration
37 IT Systems directly connected with MES and PLC
38 Glass visualization of unloading procedure goods for suppliers
39 Automatic request on workplace device of switching workstation
40 Operation tuning and better performance with 3D Printing Technology
41 Digital Platform—opportunity to allocate orders watching at suppliers’ capacity
42 AGV guided by machines needs indication
43 RFID tag on unfinished products to track them in real time
44 Continuous stock monitoring with RFID tag
45 Virtual CAD model on Kanban loops
46 Real-Time Kanban optimal size and frequency Simulation
47 Autonomous Kanban system among stations
48 Vocal/Maps interactive guide to find the SKU
49 Real-Time Simulation of picking activities path to have the faster one
50 Glass visualization of stock data
51 Forklift embedded of sensor mapping the human in the area
52 Automatic braking of forklift sensing a human in a close distance
53 Pedestrian equipped with map of forklift in movement
54 Cloud-based shipping slot booking
55 Glass visualization of current component health status
56 HMI panel with procedure to solve anomalies by operator
57 Automatic call of the machine to maintainer
58 Machine learning abilities to learn how to solve new anomalies
59 Machine Learning to prevent unsafe conditions
60 Automatic warning with workplace device of abnormal condition of the component
61 Machine learning Quality control for nonlinear defect’s pattern
62 Real-Time Cloud-based automatic analysis of component remaining life
63 Glass visualization of component remaining life
64 Vertical integration in a shared Digital online CAD Platform
65 Digital Twin plant simulation
66 Horizontal integration in a shared technical database
67 Plug and Play system to create a modular design of the machine
68 Simulation of workplace environment for risk assessment
69 Intelligent Cloud-based Checklist
70 Deep and Reinforcement Learning to predict component remaining life
71 Cloud Database with production engineer’s workload linked with Team
72 Alarm System for excessive workload
73 Automatic optimization of workload in a new scenario
74 Reminder system for ongoing project
75 Glass visualization for how to solve anomalies
76 Glass visualization of CIRL/AM/PM/SOP/OPL/SMP SMED procedure
77 Virtual Training Simulation (Machine Breakdown, WCM tools, SMED,
VIRTUAL TRAINING AND SIMULATION DEVELOPMENT
Maximizing the effectiveness of training solutions and simulation-based learning to meet organizations' toughest educational needs
78 Efficiency Data on HMI and Workplace device
79 Tool/utilization glass—guided
80 Tips directly sent to Responsible
81 Tips status directly visible by operator with workplace device
82 Automatic Lighting of part to be handled/picked
83 Common shared Platform with other company’s plant
84 Automatic Scraps Categorization given by machine sensors
85 Automatic Warning of out of parameters process
86 Common shared Platform with Customer and Suppliers
87 Claim directly sent to Line Leader and Quality Manager
88 Glass Visualization of Product Defect
89 Line Process Simulation
90 Visual Camera Poka-Yoke and Product’s parameters monitoring
91 Virtual Test to assess competence with automatic gap definition and training
needed
92 Machine Learning to prevent reworking and to set correct machine parameters
93 Online Test to assess competence with automatic gap definition and training needed
94 RFID Tag for each employer’s badge with his information
95 Automatic data analysis on absenteeism for machine and department
96 Automatic data analysis on absenteeism cause
97 Glass visualization of defects linear and nonlinear
98 Production pace tuning according to buffer levels
99 Simulation of workplace environment for ergonomic optimization
100 Glass visualization of heavy packs
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