Best-In-Class Solutions for Material Handling · Source: MHI 2017 Annual Report: https: ... •...
-
Upload
vuongduong -
Category
Documents
-
view
215 -
download
0
Transcript of Best-In-Class Solutions for Material Handling · Source: MHI 2017 Annual Report: https: ... •...
Best-In-Class Solutions for Material Handling Presented by Bhaskar Chopra
Manufacturing in America │ March 14-15, 2018
Unrestricted © Siemens 2018 All rights reserved. Community. Collaboration. Innovation.
Before we start… A Penny for Your Thoughts
At the end of the session, share your feedback via MiA App -
and get a chance to win tickets to the Detroit Tigers baseball game!
Unrestricted © Siemens 2018 All rights reserved. Community. Collaboration. Innovation.
Introduction
Bhaskar Chopra
P: 770-549-0249
• Siemens DF MC Strategic Business Developer – Material Handling
• Siemens Drives Digitalization lead
• 8 years Siemens Drives experience, specializing in automotive,
flooring and intralogistics applications
• Possesses ability to dunk on standard NBA hoop
Unrestricted © Siemens 2018 All rights reserved. Community. Collaboration. Innovation.
Source
Source: MHI 2017 Annual Report: https://www.mhi.org/publications/report
Unrestricted © Siemens 2018 All rights reserved. Community. Collaboration. Innovation.
Robotics &
Automation
Predictive
Analytics
Internet of
Things (IoT)
Disruptive technologies are going to change the market,
but adoption today is low
Potential to Disrupt 2018
Adoption Rate
61%
57%
55%
37%
17%
24%
89%
89%
92%
2024+
Adoption Rate
Source: MHI 2017 Annual Report: https://www.mhi.org/publications/report
Unrestricted © Siemens 2018 All rights reserved. Community. Collaboration. Innovation.
93% of
companies
struggle to
find qualified
workers
Toughest Workforce Challenges Today:
Finding the right
people
Training and
improving their
skills
Retaining skilled
employees
Source: MHI 2017 Annual Report: https://www.mhi.org/publications/report
Unrestricted © Siemens 2018 All rights reserved. Community. Collaboration. Innovation.
Case Study
Flooring Manufacturer with a 3 AM problem
Biggest fear is a
3 AM failure with
no trained
personnel present
• 325 VFDs (200 on conveyors,
remainder in production)
• Inexperienced maintenance
staff with ~13 month turnover
Unrestricted © Siemens 2018 All rights reserved. Community. Collaboration. Innovation.
Consistent data structure ensures comfort with all styles of VFDs
P3
P4
P5
P6
P7
P100
P101
P102
P103
P104
P300
P301
P302
P303
P3
P4
P5
P6
P7
P30
P31
P32
P33
P34
P100
P101
P102
P103
P104
P200
P201
P300
P301
P302
P303
P3
P4
P5
P6
P7
P20
P21
P30
P31
P32
P33
P34
P50
P51
P100
P101
P102
P103
P104
P150
P151
P200
P201
P300
P301
P302
P303
SINAMICS
Unrestricted © Siemens 2018 All rights reserved. Community. Collaboration. Innovation.
Portfolio Modularity eliminates the need for reprogramming
during downtime scenarios
Unrestricted © Siemens 2018 All rights reserved. Community. Collaboration. Innovation.
Best in Class Installation and Maintenance Strategy
SINAMICS G120 SINAMICS G110M Instead of complete
converter, only defective
components need to
be replaced –
significantly reducing
the number of
spare parts
SINAMICS G120D SINAMICS S120
The SINAMICS converter consists of two components:
the Power Module (PM) and Control Unit (CU)
Unrestricted © Siemens 2018 All rights reserved. Community. Collaboration. Innovation.
Easy replacement via automatic parameter download,
no PC required
Power on
Power on
• After power reset, data set of
parameters is automatically copied
from memory card to converter after
replacement
• If a memory card with firmware is used
(standard with SINAMICS S) a
firmware up- or down grade will
automatically be started
• No PC required for converter
replacement
Unrestricted © Siemens 2018 All rights reserved. Community. Collaboration. Innovation.
Robotics &
Automation
Predictive
Analytics
Internet of
Things (IoT)
Disruptive technologies are going to change the market,
but adoption today is low
Potential to Disrupt 2018
Adoption Rate
61%
57%
55%
37%
17%
24%
89%
89%
92%
2024+
Adoption Rate
Source: MHI 2017 Annual Report: https://www.mhi.org/publications/report
Unrestricted © Siemens 2018 All rights reserved. Community. Collaboration. Innovation.
Predictive Analytics starts with an emphasis on clear, concise data
Vendor based error
codes
Error codes and remedies
in plain English
Unrestricted © Siemens 2018 All rights reserved. Community. Collaboration. Innovation.
Predictive Analytics starts with an emphasis on clear, concise data
1
V20_xxxx
2 3
Unrestricted © Siemens 2018 All rights reserved. Community. Collaboration. Innovation.
Predictive Analytics starts with an emphasis on clear, concise data
Online/offline
identification Fault /
alarm quick menu
Parameter editing /
saving
Monitoring status
of converter
Backup and restore settings
to mobile
Quick commissioning
wizard
Run motor in jog mode
or setpoint
Quick overview of fault,
alarm and status
Smart Access options
Product identification Hotline/Support
Unrestricted © Siemens 2018 All rights reserved. Community. Collaboration. Innovation.
Control the motor Get control of motor
Predictive Analytics starts with an emphasis on clear, concise data
Confirm safety notes
Close
control view
Change speed and direction
Enable the
control to
start motor
Unrestricted © Siemens 2018 All rights reserved. Community. Collaboration. Innovation.
Predictive Analytics starts with an emphasis on clear, concise data
Overview of active faults and alarms Overview of the status bits Automatic creation of status e-mails
Contains information about the drive,
faults and alarms.
Can be directly transferred to your local
service company.
Unrestricted © Siemens 2018 All rights reserved. Community. Collaboration. Innovation.
Predictive Analytics continues with well connected components
SIMOTICS IQ
Digital link through SIMOTICS Connect,
a plug & play sensor box with communication via
WLAN and integrated power supply.
• Motor operating data
• Power and speed
• Operating status and operating hours
• Fleet management
• Electronic rating plate
Unrestricted © Siemens 2018 All rights reserved. Community. Collaboration. Innovation.
Predictive Analytics continues with well connected components
Unrestricted © Siemens 2018 All rights reserved. Community. Collaboration. Innovation.
Robotics &
Automation
Predictive
Analytics
Internet of
Things (IoT)
Disruptive technologies are going to change the market,
but adoption today is low
Potential to Disrupt 2018
Adoption Rate
61%
57%
55%
37%
17%
24%
89%
89%
92%
2024+
Adoption Rate
Source: MHI 2017 Annual Report: https://www.mhi.org/publications/report
Unrestricted © Siemens 2018 All rights reserved. Community. Collaboration. Innovation.
9%
9%
17%
25%
26%
28%
31%
Cold Chain Temperature& Humidity Integrity
Artificial Intelligence &Machine Learning
Streamlined Production
Quality Control
Customer / Market Insight
Customer and/orSupplier Collaboration
Real-Time Analytics
80% believe
customer demands
for more
customized
products and
services represents
a significant
company challenge
How are companies using / planning to use the Internet of Things?
Source: MHI 2017 Annual Report: https://www.mhi.org/publications/report
Unrestricted © Siemens 2018 All rights reserved. Community. Collaboration. Innovation.
System Engineering Approach
Mechatronic
Concept Designer
Machines
components
Production
Cells Process Simulate
Plant Simulation
Machines
Production
Plants
Simcenter Amesim
Unrestricted © Siemens 2018 All rights reserved. Community. Collaboration. Innovation.
System Engineering Approach
Mechatronic
Concept Designer
Machines
components
Production
Cells Process Simulate
Plant Simulation
Machines
Production
Plants
Simcenter Amesim
Unrestricted © Siemens 2018 All rights reserved. Community. Collaboration. Innovation.
Machine concept
Design and
simulate
the machine
concept
NX Mechatronics
Concept Designer
Unrestricted © Siemens 2018 All rights reserved. Community. Collaboration. Innovation.
Mechatronic Concept Designer
How will the machine work ?
Machine sequence 3D basic geometry
Control signals Force/load profiles
Cam plates
Kinematic description
Sensor-actuator lists
Reference designation
Unrestricted © Siemens 2018 All rights reserved. Community. Collaboration. Innovation.
Integrated engineering reduces the time from the first idea
to the machine realization
Software
Electrical / Fluid To
day
Fu
ture
Mechanical design
Detailed Engineering
Mechanical concept
Concept Design
Requirements
Planning
Real
Machine
Real commissioning
Commissioning
Electrical / Fluid
Mechanical design
Software
Interdisciplinary Engineering
Mechanical concept
Concept Design
Requirements
Systems
Engineering
Digital Twin
Virtual
commissioning
Real Machine
Real
commissioning
Commissioning
Time
saved
Unrestricted © Siemens 2018 All rights reserved. Community. Collaboration. Innovation.
Kinematic validation Virtual commissioning with Mechatronic Concept Designer
Capabilities
• Define mechatronic model including kinematic, sensors, actuators,
logic and signals
• Connect directly with PLC Hardware or PLC Simulation (PLCSIM Adv.)
• Share data between mechanical, electrical and automation departments
• Reuse standardized mechatronic components for a faster machine
design
Key Points
• Define and validate the mechatronic concept of the machine directly
with the CAD model in the early phases of development
• Optimize machine design before the first prototype (sequence, traveling
path, speed of motors, position of sensors…)
Unrestricted © Siemens 2018 All rights reserved. Community. Collaboration. Innovation.
System Engineering Approach
Mechatronic
Concept Designer
Machines
components
Production
Cells Process Simulate
Plant Simulation
Machines
Production
Plants
Amesim
Unrestricted © Siemens 2018 All rights reserved. Community. Collaboration. Innovation.
Production engineering
Optimize
material flow
Tecnomatix
Plant Simulation
Unrestricted © Siemens 2018 All rights reserved. Community. Collaboration. Innovation.
Material flow optimization Simulation – typical objectives
Optimized lot size Reduced stock
size Less work in
progress
Increased
flexibility on
customer demands
Reduced number
of “gut decisions”
Detection of
interdependencies
Optimized control
strategies
Investment
savings
“What if
scenarios”
Reduced over
dimensioning
Reduced
throughput time
Unrestricted © Siemens 2018 All rights reserved. Community. Collaboration. Innovation.
Cell validation Virtual commissioning with Plant Simulation
Capabilities
• Validate material flow and control logic
• Verify PLC code and HMI
• Verify conveying unit and head unit level
• Perform system diagnostic testing
Key Points
• Perform “what-if” scenarios (Failure Modes)
• Validation prior to conveying system construction
• Operator training
Unrestricted © Siemens 2018 All rights reserved. Community. Collaboration. Innovation.
Material Handling faces speed and efficiency risks not only in
operations but in design and implementation as well
• Full simulation of complex
production systems and control
strategies
• Object oriented models of
handling equipment
• Bottleneck analysis tools
• 3D visualization
• Automated optimization of system
parameters
Plant Simulate w/ Warehousing and Logistics Library
Unrestricted © Siemens 2018 All rights reserved. Community. Collaboration. Innovation.
How did we do? Share your thoughts to win!
Got 1 minute? Rate this seminar via MiA App for a chance to
win Detroit Tigers tickets:
Unrestricted © Siemens 2018 All rights reserved. Community. Collaboration. Innovation.
Seminar Slides
After MiA, seminar slides will be available at:
http://www.usa.siemens.com/mia-seminars
Unrestricted © Siemens 2018 All rights reserved. Community. Collaboration. Innovation.
Questions?
Bhaskar Chopra
Strategic Business Developer – Material Handing
Phone: 770-549-0249
E-mail: [email protected]