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Akash.M.R et al. Int. Journal of Engineering Research and Applications www.ijera.com
ISSN: 2248-9622, Vol. 5, Issue 4, (Part -5) April 2015, pp.143-148
www.ijera.com 143 | P a g e
Virtual Commissioning of Small to Medium Scale Industry Using
the Concepts of Digital Manufacturing
Akash.M.R1
, Dr. B. R. Narendra Babu2
, Dr. K.Chandrashekara3
1
M.Tech, Department of Mechanical Engineering, Vidya Vikas Institute of Engineering and Technology,
Mysore-570028
2
Associate Professor, Department of Mechanical Engineering, Vidya Vikas Institute of Engineering and
Technology, Mysore-570028
3
Professor, Department of Mechanical Engineering, Sri Jaya Chamarajendra College of Engineering, Mysore-
570006
Abstract
Small scale industries produce certain products depending on the type of industry they have established. If these
small scale industries decide to become medium scale certain changes have to be incorporated in plant layout to
meet certain requirements. Certain changes include change in layout design, introducing new machines and
equipments in the industry in order to produce new component .To implement these changes in the company we
have to get information regarding the new component the company would produce based on this information we
have design new plant layout.
The purpose of this project is to plan a suitable plant layout which could meet company requirement. To design
a new plant layout we are using Delmia as the simulation software. DELMIA Production System Simulation
allows the process planner to validate the manufacturing system dynamically. Product flow and operation time,
as well as scheduled maintenance and random equipment failure events, are simulated to help the planner
understand how they will impact the system’s capacity. Process planners can determine if changes to the system
are needed to achieve the desired production demands.
Keywords: Delmia, Virtual commission, Digital manufacturing.
I. INTRODUCTION
Digital Manufacturing represents an integrated
suite of PLM tools that supports manufacturing
process design, tool design, plant layout, and
visualization through powerful virtual simulation
tools that allow the manufacturing engineer to
validate and optimize the manufacturing processes.
DELMIA Production System Simulation (PSS)
enables dynamic evaluation and improvement of
manufacturing system and material flow. Modeling
and simulating the system over multiple cycles helps
with decision making in uncertain conditions.
Using the established process plan, the planner
defines the manufacturing system, which consists of
areas for processing, storing, and transferring parts.
The flow of parts can be defined from area to area.
Once the system is defined, it can be simulated to
evaluate its capacity, utilization, and other
performance measures. The planner can then
evaluate alternative scenarios for product routing and
system design.
DELMIA Production System Simulation allows
the process planner to validate the manufacturing
system dynamically. Product flow and operation
time, as well as scheduled maintenance and random
equipment failure events, are simulated to help the
planner understand how they will impact the
system’s capacity. Process planners can determine if
changes to the system are needed to achieve the
desired production demands.
During simulation, 3D animation of products
and an iconic display of the system make it easy to
understand the state of the manufacturing system.
The planner can view, in chart form, the number of
products, waiting and operating times, time spent in
various states, and utilization.
Discrete event simulation is an important
decision support tool to evaluate changes in
manufacturing, distribution or process facilities. The
challenge arises when it comes to the integration of
simulation as an effective tool to detect
manufacturing constraints and to suggest
improvement alternatives. DELMIA Production
System Simulation makes it easy to understand the
behaviour of the system and to identify bottlenecks.
Users of DELMIA Production System Simulation are
able to define and validate the manufacturing system
with simulation. Specific performance aspects of the
system, such as throughput, utilization, and work in
process are measured and reported. Users can
experiment with system parameters and layouts to
determine optimal design and operating conditions.
RESEARCH ARTICLE OPEN ACCESS
Akash.M.R et al. Int. Journal of Engineering Research and Applications www.ijera.com
ISSN: 2248-9622, Vol. 5, Issue 4, (Part -5) April 2015, pp.143-148
www.ijera.com 144 | P a g e
II. SYSTEM MODEL
Requirement from the Manufacturer is that to
establish a Small to Medium scale Manufacturing
Plant & also a repair workshop. As per the request
from this organisation a complete End to End
Manufacturing solution is required starting from
planning the Incoming Inventory management
through varied operation in the shop floor and to till
the dispatch of the finished part.
Project requirement: Complete Manufacturing
solution by using the concepts of Digital
manufacturing using a OLP software or a also called
as a simulation software.
Software Required: Delmia V5 by Dassault
Systems.
Product used in Delmia V5: Digital Process for
Manufacturing.
Parts for which production planning is required for
are:
 Conversion of Forged to Finished part for
Camshaft.
Table 1: Equipment Details
Bending
Machin
e Rang
e Length
Plate
width
max.
(mm)
Plate
Thic
kness
max.
(mm)
E
M
PB
M
32
0
3mm
to 20
mm
1500
mm X
1066.8
mm to
3000
mm 2000 3
Min.
Rolli
ng
dia.
(mm
)
Up
per
rol
ler
dia
.(
m
m)
Lower
Roller
dia.
(mm)
Lower
Roller
central
distance
Plate
rolli
ng
spee
d
(m/
min)
Powe
r of
main
moto
r
(KW
)
300
15
0 130 200 5.7 2
Fig 1:Bending Machine
III. PROPOSED METHODOLOGY
1. Project Management: During the course of the
project, the activities will be managed according to
its life-cycle. The project will be initiated and
planned, it will be executed following the method
described and monitored by status reporting and
other scheduled activities. At the end, the project will
be closed ensuring that the objectives were achieved.
2. Requirements Specification: At this stage, the
product functional characteristics and the process
constraints will be studied in the current station in
order to understand the nature of the current
operations sequence and therefore the restrictions for
defining a new automated sequence. Documentation
will be created along this and every other stage of the
process.
3. Conceptual Design: At this stage, equipment (e.g.,
robots, tools, fixtures, turntables, etc.) will be
selected and/or designed to comply with the
requirements specification. Preliminary layout
examples will be designed incorporating the chosen
equipment. The best alternatives will be selected as
conceptual models for several levels of investment.
4. Embodiment Design: At this stage, full-scale use
of Delmia will begin. It will be assured that there are
CAD models for the equipment selected and/or
designed. If necessary the definitive layout will be
designed using CAD models of the resources and
products in a CAT Product. Delmia’s Factory Layout
and Robotics module will be used
to assemble the station and provide kinematics. From
this point, the project process starts to be iterative
Akash.M.R et al. Int. Journal of Engineering Research and Applications www.ijera.com
ISSN: 2248-9622, Vol. 5, Issue 4, (Part -5) April 2015, pp.143-148
www.ijera.com 145 | P a g e
and it may be possible to come back from later stages
to make changes.
5. Detailed Design: At this stage, the advantages of
using Delmia’s data-based system will be seized by
designing the interaction of the
process/product/resources with the PPR Hub. Device
tasks and activities will be defined to plan the
process and the system will be optimized according
to cycle time using different tools. Control functions
for the equipment will be developed and the structure
of the data interaction will be analyzed.
6. Evaluation and Validation: At this stage, the
resulting production system will be simulated and
evaluated. Its quality will be assured by collision
detection and the result will be validated. As an
output, it is expected to provide all information
necessary for the implementation of the proposed
solution in the actual plant.
7. Virtual Commissioning: At this stage, further
research will be made to generate solutions for the
interaction with the data structures currently in use.
IV. SIMULATION/EXPERIMENTAL
RESULTS
Fig 2: Camshaft done using Delmia
Cam Shaft Process Flow:
Sl.
No
Step by
Step
Process
Flow for
Conversio
n of
Camshaft
part to
Finished
part
Machine
Manual
work
Operatio
n
Ti
me
(mi
n)
Operat
ion
Ti
m
e
(m
in)
1
Raw
material
incoming
to part
inspection
*
2
2
Part pick
up and
placing on
the
inspection
table
*
3
Inspection
for cracks
*
4
Inspection
for rust
and
impurities
on the part
*
5
Select OK
parts and
placing on
the Roller
Conveyor
1 to next
operation
*
6
Select
NOT Ok
parts in
the
rejection
Bin 1
*
0.
16
7
Part
pickup
from
Roller
Conveyor
1 by next
operator
and
placing in
Facing
m/c
*
0.
5
8
Set
camshaft
part for
facing on
both ends
and length
updates
*
9
Start the
operation
*
1
10
Face the
first end
of the part
*
Akash.M.R et al. Int. Journal of Engineering Research and Applications www.ijera.com
ISSN: 2248-9622, Vol. 5, Issue 4, (Part -5) April 2015, pp.143-148
www.ijera.com 146 | P a g e
11
Stop the
operation
*
12
Face the
second
end of the
part
*
1
13
Do the
length
correction
by
required
material
removal
operation
*
14
Set the
machine
with
Centering
Tool
*
0.
5
15
Start
centering
operation
*
0.6
6
16
Stop the
operation
*
17
Set the
required
tool and
part for
Outer Dia
Turning
operation
*
18
Start the
Outer Dia
Turning
*
1
19
Wait for
operation
to
complete
*
20
Stop the
operation
*
21
Set the
required
tool and
part for
Body
Turning
operation
*
0.
5
22
Start Body
turning
operation
*
1.5
23
Wait for
operation
to
complete
*
24
Stop the
operation
*
25 Set the * 0.
tool and
part for
CIR Clip
groove
cutting
operation
5
26
Start
grooving
operation
*
0.8
327
Wait for
operation
to
complete
*
28
Stop the
operation
*
29
Remove
the part
from the
m/c
*
0.
5
30
Place the
part in
Roller
conveyor
2 for next
station
*
31
Pick the
part from
Roller
Conveyor
2 onto
Deburring
station
*
0.
33
32
Operator
uses the
grinding
tool to
perform
the
deburring
operation
* 1.5
33
Operator
performs
the Stage
inspection
for any
imperfecti
ons
obtained
during
previous
operations
*
2
34
OK parts
are sent to
Roller
Conveyor
3
*
35 NOT OK *
Akash.M.R et al. Int. Journal of Engineering Research and Applications www.ijera.com
ISSN: 2248-9622, Vol. 5, Issue 4, (Part -5) April 2015, pp.143-148
www.ijera.com 147 | P a g e
parts are
sent for
rework
36
Next
operator
picks up
the part
from
Conveyor
3
*
0.
66
37
Set the
part and
tool in
Hobbing
M/c
*
38
Wait for
operation
to
complete
*
2
39
Stop the
operation
*
40
Pick up
the part
from the
m/c and
place it on
roller
conveyor
4
*
0.
33
41
Next
operator
picks up
the part
from
Conveyor
4 and
loads onto
the fixture
provided
in the heat
treatment
unit
*
0.
33
42
Start the
operation
*
43
Wait for
heat
treatment
to be
completed
*
4
44
Stop the
operation
*
45
Place the
parts on to
next
station for
Temperin
g
*
0.
16
46
Start the
operation
*
4
47
Wait for
tempering
operation
to be
completed
*
48
Pick up
the
Tempered
parts and
place it on
Roller
conveyor
5 for
subsequen
t
operations
*
0.
33
49
Operator
picks up
the part
for
Inspection
*
150
Performs
Axis
correction
*
51
Sets the
tool and
part for
Journal
Grinding
*
52
Start
Bearing
Journal
Grinding
*
3
53
Wait for
operation
to
complete
*
54
Stop the
operation
*
55
Perform
Final
Inspection
56
Place the
parts in
the
Wooden
Box
provided
*
0.
5
57
Seal the
box after
filling
*
58
Send to
Dispatch
*
To
20.
3
Th+Tth
10
.2
Akash.M.R et al. Int. Journal of Engineering Research and Applications www.ijera.com
ISSN: 2248-9622, Vol. 5, Issue 4, (Part -5) April 2015, pp.143-148
www.ijera.com 148 | P a g e
CALCULATIONS:
Camshaft Calculations:
Cycle Time: Tc= To+Th+TTh
Where, Tc = Cycle Time (mins/Pc)
To = Time of Actual Processing (mins/Pc),
Th =Handling Time (mins/Pc),
TTh = Tool Handling Time (mins/PC)
Tc = 20.3+10.2
Tc = 30.5 mins/Pc
Production Rate: RP = 60/ Tc
RP = Production rate (Cycles/Hr)
RP = 60/30.5
RP=1.96 Pc/Hr
Production Capacity: PC = n SW HSh RP
Where, PC =weekly production capacity of facility
(O/p unit/week),
n =No of work centres working in Parallel
Production in Facility,
SW =no of Shifts/Period (Shifts/week),
HSh =Hours/shift (Hr)
RP = Production rate (PC/Hr)
Where n = 7; SW =12 shifts/week; HSh = 7.5
Hours/shift; RP =1.96 units/Hr
PC= 7 X 12 X 7.5 X 1.96
PC=1235 units/week
Actual Production Rate (Q):
Considering a Utilization Factor of 80%, we have
U= Q/PC
Where Q = Actual Quantity produced by the facility
(Pc/Week)
Hence Q= U*PC
= 0.8 X 1235
Q=988 Parts/Week
V. CONCLUSION
 Complete Process simulation can be achieved
resembling the real life scenario.
 Design & Validation of manufacturing systems
can be done with Simulation.
 Specific performance aspects of the system, such
as throughput, utilization, and work in process
can be measured and reported.
 Users can experiment with system parameters
and layouts to determine optimal design and
operating conditions.
 Finally, with all these useful capabilities Delmia
provides, a well balanced Process Planning can
be devised to help suit the Organisations
requirements.
REFERENCES
[1] Z. Zhou, Fundamentals of Digital
Manufacturing Science, Springer Series in
Advanced
Manufacturing,DOI:10.1007/978-0-85729-
564-4
[2] Mahesh, M., Ong, S. K., Nee, A. Y. C., Fuh,
J. Y. H., and Zhang, Y. F. Towards a
generic distributed and collaborative digital
manufacturing. Robotics Computer-
Integrated Mfg, 2007, 23(3), 267–275.
[3] G Chryssolouris, D Mavrikios, N
Papakostas, D Mourtzis, G Michalos, and K
Georgoulias Department of Mechanical
Engineering and Aeronautics, University of
Patras, Patras, Greece. Manufacturing.
Logistics Inf. Mgmt, 2000, 13(5), 263–270.
[4] Woerner, J. and Woern, H. A security
architecture integrated co-operative
engineering platform for organized model
exchange in a digital factory environment.
Computers Industry, 2005, 56, 347–360.
[5] Text Book : Automation, Production
Systems and Computer-Integrated
Manufacturing By-M.P.Groover
[6] Delmia Product Library, Delmia Website:
http://www.3ds.com/products-
services/delmia/products/all-delmia-
products/

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Virtual Commissioning of Small to Medium Scale Industry Using the Concepts of Digital Manufacturing

  • 1. Akash.M.R et al. Int. Journal of Engineering Research and Applications www.ijera.com ISSN: 2248-9622, Vol. 5, Issue 4, (Part -5) April 2015, pp.143-148 www.ijera.com 143 | P a g e Virtual Commissioning of Small to Medium Scale Industry Using the Concepts of Digital Manufacturing Akash.M.R1 , Dr. B. R. Narendra Babu2 , Dr. K.Chandrashekara3 1 M.Tech, Department of Mechanical Engineering, Vidya Vikas Institute of Engineering and Technology, Mysore-570028 2 Associate Professor, Department of Mechanical Engineering, Vidya Vikas Institute of Engineering and Technology, Mysore-570028 3 Professor, Department of Mechanical Engineering, Sri Jaya Chamarajendra College of Engineering, Mysore- 570006 Abstract Small scale industries produce certain products depending on the type of industry they have established. If these small scale industries decide to become medium scale certain changes have to be incorporated in plant layout to meet certain requirements. Certain changes include change in layout design, introducing new machines and equipments in the industry in order to produce new component .To implement these changes in the company we have to get information regarding the new component the company would produce based on this information we have design new plant layout. The purpose of this project is to plan a suitable plant layout which could meet company requirement. To design a new plant layout we are using Delmia as the simulation software. DELMIA Production System Simulation allows the process planner to validate the manufacturing system dynamically. Product flow and operation time, as well as scheduled maintenance and random equipment failure events, are simulated to help the planner understand how they will impact the system’s capacity. Process planners can determine if changes to the system are needed to achieve the desired production demands. Keywords: Delmia, Virtual commission, Digital manufacturing. I. INTRODUCTION Digital Manufacturing represents an integrated suite of PLM tools that supports manufacturing process design, tool design, plant layout, and visualization through powerful virtual simulation tools that allow the manufacturing engineer to validate and optimize the manufacturing processes. DELMIA Production System Simulation (PSS) enables dynamic evaluation and improvement of manufacturing system and material flow. Modeling and simulating the system over multiple cycles helps with decision making in uncertain conditions. Using the established process plan, the planner defines the manufacturing system, which consists of areas for processing, storing, and transferring parts. The flow of parts can be defined from area to area. Once the system is defined, it can be simulated to evaluate its capacity, utilization, and other performance measures. The planner can then evaluate alternative scenarios for product routing and system design. DELMIA Production System Simulation allows the process planner to validate the manufacturing system dynamically. Product flow and operation time, as well as scheduled maintenance and random equipment failure events, are simulated to help the planner understand how they will impact the system’s capacity. Process planners can determine if changes to the system are needed to achieve the desired production demands. During simulation, 3D animation of products and an iconic display of the system make it easy to understand the state of the manufacturing system. The planner can view, in chart form, the number of products, waiting and operating times, time spent in various states, and utilization. Discrete event simulation is an important decision support tool to evaluate changes in manufacturing, distribution or process facilities. The challenge arises when it comes to the integration of simulation as an effective tool to detect manufacturing constraints and to suggest improvement alternatives. DELMIA Production System Simulation makes it easy to understand the behaviour of the system and to identify bottlenecks. Users of DELMIA Production System Simulation are able to define and validate the manufacturing system with simulation. Specific performance aspects of the system, such as throughput, utilization, and work in process are measured and reported. Users can experiment with system parameters and layouts to determine optimal design and operating conditions. RESEARCH ARTICLE OPEN ACCESS
  • 2. Akash.M.R et al. Int. Journal of Engineering Research and Applications www.ijera.com ISSN: 2248-9622, Vol. 5, Issue 4, (Part -5) April 2015, pp.143-148 www.ijera.com 144 | P a g e II. SYSTEM MODEL Requirement from the Manufacturer is that to establish a Small to Medium scale Manufacturing Plant & also a repair workshop. As per the request from this organisation a complete End to End Manufacturing solution is required starting from planning the Incoming Inventory management through varied operation in the shop floor and to till the dispatch of the finished part. Project requirement: Complete Manufacturing solution by using the concepts of Digital manufacturing using a OLP software or a also called as a simulation software. Software Required: Delmia V5 by Dassault Systems. Product used in Delmia V5: Digital Process for Manufacturing. Parts for which production planning is required for are:  Conversion of Forged to Finished part for Camshaft. Table 1: Equipment Details Bending Machin e Rang e Length Plate width max. (mm) Plate Thic kness max. (mm) E M PB M 32 0 3mm to 20 mm 1500 mm X 1066.8 mm to 3000 mm 2000 3 Min. Rolli ng dia. (mm ) Up per rol ler dia .( m m) Lower Roller dia. (mm) Lower Roller central distance Plate rolli ng spee d (m/ min) Powe r of main moto r (KW ) 300 15 0 130 200 5.7 2 Fig 1:Bending Machine III. PROPOSED METHODOLOGY 1. Project Management: During the course of the project, the activities will be managed according to its life-cycle. The project will be initiated and planned, it will be executed following the method described and monitored by status reporting and other scheduled activities. At the end, the project will be closed ensuring that the objectives were achieved. 2. Requirements Specification: At this stage, the product functional characteristics and the process constraints will be studied in the current station in order to understand the nature of the current operations sequence and therefore the restrictions for defining a new automated sequence. Documentation will be created along this and every other stage of the process. 3. Conceptual Design: At this stage, equipment (e.g., robots, tools, fixtures, turntables, etc.) will be selected and/or designed to comply with the requirements specification. Preliminary layout examples will be designed incorporating the chosen equipment. The best alternatives will be selected as conceptual models for several levels of investment. 4. Embodiment Design: At this stage, full-scale use of Delmia will begin. It will be assured that there are CAD models for the equipment selected and/or designed. If necessary the definitive layout will be designed using CAD models of the resources and products in a CAT Product. Delmia’s Factory Layout and Robotics module will be used to assemble the station and provide kinematics. From this point, the project process starts to be iterative
  • 3. Akash.M.R et al. Int. Journal of Engineering Research and Applications www.ijera.com ISSN: 2248-9622, Vol. 5, Issue 4, (Part -5) April 2015, pp.143-148 www.ijera.com 145 | P a g e and it may be possible to come back from later stages to make changes. 5. Detailed Design: At this stage, the advantages of using Delmia’s data-based system will be seized by designing the interaction of the process/product/resources with the PPR Hub. Device tasks and activities will be defined to plan the process and the system will be optimized according to cycle time using different tools. Control functions for the equipment will be developed and the structure of the data interaction will be analyzed. 6. Evaluation and Validation: At this stage, the resulting production system will be simulated and evaluated. Its quality will be assured by collision detection and the result will be validated. As an output, it is expected to provide all information necessary for the implementation of the proposed solution in the actual plant. 7. Virtual Commissioning: At this stage, further research will be made to generate solutions for the interaction with the data structures currently in use. IV. SIMULATION/EXPERIMENTAL RESULTS Fig 2: Camshaft done using Delmia Cam Shaft Process Flow: Sl. No Step by Step Process Flow for Conversio n of Camshaft part to Finished part Machine Manual work Operatio n Ti me (mi n) Operat ion Ti m e (m in) 1 Raw material incoming to part inspection * 2 2 Part pick up and placing on the inspection table * 3 Inspection for cracks * 4 Inspection for rust and impurities on the part * 5 Select OK parts and placing on the Roller Conveyor 1 to next operation * 6 Select NOT Ok parts in the rejection Bin 1 * 0. 16 7 Part pickup from Roller Conveyor 1 by next operator and placing in Facing m/c * 0. 5 8 Set camshaft part for facing on both ends and length updates * 9 Start the operation * 1 10 Face the first end of the part *
  • 4. Akash.M.R et al. Int. Journal of Engineering Research and Applications www.ijera.com ISSN: 2248-9622, Vol. 5, Issue 4, (Part -5) April 2015, pp.143-148 www.ijera.com 146 | P a g e 11 Stop the operation * 12 Face the second end of the part * 1 13 Do the length correction by required material removal operation * 14 Set the machine with Centering Tool * 0. 5 15 Start centering operation * 0.6 6 16 Stop the operation * 17 Set the required tool and part for Outer Dia Turning operation * 18 Start the Outer Dia Turning * 1 19 Wait for operation to complete * 20 Stop the operation * 21 Set the required tool and part for Body Turning operation * 0. 5 22 Start Body turning operation * 1.5 23 Wait for operation to complete * 24 Stop the operation * 25 Set the * 0. tool and part for CIR Clip groove cutting operation 5 26 Start grooving operation * 0.8 327 Wait for operation to complete * 28 Stop the operation * 29 Remove the part from the m/c * 0. 5 30 Place the part in Roller conveyor 2 for next station * 31 Pick the part from Roller Conveyor 2 onto Deburring station * 0. 33 32 Operator uses the grinding tool to perform the deburring operation * 1.5 33 Operator performs the Stage inspection for any imperfecti ons obtained during previous operations * 2 34 OK parts are sent to Roller Conveyor 3 * 35 NOT OK *
  • 5. Akash.M.R et al. Int. Journal of Engineering Research and Applications www.ijera.com ISSN: 2248-9622, Vol. 5, Issue 4, (Part -5) April 2015, pp.143-148 www.ijera.com 147 | P a g e parts are sent for rework 36 Next operator picks up the part from Conveyor 3 * 0. 66 37 Set the part and tool in Hobbing M/c * 38 Wait for operation to complete * 2 39 Stop the operation * 40 Pick up the part from the m/c and place it on roller conveyor 4 * 0. 33 41 Next operator picks up the part from Conveyor 4 and loads onto the fixture provided in the heat treatment unit * 0. 33 42 Start the operation * 43 Wait for heat treatment to be completed * 4 44 Stop the operation * 45 Place the parts on to next station for Temperin g * 0. 16 46 Start the operation * 4 47 Wait for tempering operation to be completed * 48 Pick up the Tempered parts and place it on Roller conveyor 5 for subsequen t operations * 0. 33 49 Operator picks up the part for Inspection * 150 Performs Axis correction * 51 Sets the tool and part for Journal Grinding * 52 Start Bearing Journal Grinding * 3 53 Wait for operation to complete * 54 Stop the operation * 55 Perform Final Inspection 56 Place the parts in the Wooden Box provided * 0. 5 57 Seal the box after filling * 58 Send to Dispatch * To 20. 3 Th+Tth 10 .2
  • 6. Akash.M.R et al. Int. Journal of Engineering Research and Applications www.ijera.com ISSN: 2248-9622, Vol. 5, Issue 4, (Part -5) April 2015, pp.143-148 www.ijera.com 148 | P a g e CALCULATIONS: Camshaft Calculations: Cycle Time: Tc= To+Th+TTh Where, Tc = Cycle Time (mins/Pc) To = Time of Actual Processing (mins/Pc), Th =Handling Time (mins/Pc), TTh = Tool Handling Time (mins/PC) Tc = 20.3+10.2 Tc = 30.5 mins/Pc Production Rate: RP = 60/ Tc RP = Production rate (Cycles/Hr) RP = 60/30.5 RP=1.96 Pc/Hr Production Capacity: PC = n SW HSh RP Where, PC =weekly production capacity of facility (O/p unit/week), n =No of work centres working in Parallel Production in Facility, SW =no of Shifts/Period (Shifts/week), HSh =Hours/shift (Hr) RP = Production rate (PC/Hr) Where n = 7; SW =12 shifts/week; HSh = 7.5 Hours/shift; RP =1.96 units/Hr PC= 7 X 12 X 7.5 X 1.96 PC=1235 units/week Actual Production Rate (Q): Considering a Utilization Factor of 80%, we have U= Q/PC Where Q = Actual Quantity produced by the facility (Pc/Week) Hence Q= U*PC = 0.8 X 1235 Q=988 Parts/Week V. CONCLUSION  Complete Process simulation can be achieved resembling the real life scenario.  Design & Validation of manufacturing systems can be done with Simulation.  Specific performance aspects of the system, such as throughput, utilization, and work in process can be measured and reported.  Users can experiment with system parameters and layouts to determine optimal design and operating conditions.  Finally, with all these useful capabilities Delmia provides, a well balanced Process Planning can be devised to help suit the Organisations requirements. REFERENCES [1] Z. Zhou, Fundamentals of Digital Manufacturing Science, Springer Series in Advanced Manufacturing,DOI:10.1007/978-0-85729- 564-4 [2] Mahesh, M., Ong, S. K., Nee, A. Y. C., Fuh, J. Y. H., and Zhang, Y. F. Towards a generic distributed and collaborative digital manufacturing. Robotics Computer- Integrated Mfg, 2007, 23(3), 267–275. [3] G Chryssolouris, D Mavrikios, N Papakostas, D Mourtzis, G Michalos, and K Georgoulias Department of Mechanical Engineering and Aeronautics, University of Patras, Patras, Greece. Manufacturing. Logistics Inf. Mgmt, 2000, 13(5), 263–270. [4] Woerner, J. and Woern, H. A security architecture integrated co-operative engineering platform for organized model exchange in a digital factory environment. Computers Industry, 2005, 56, 347–360. [5] Text Book : Automation, Production Systems and Computer-Integrated Manufacturing By-M.P.Groover [6] Delmia Product Library, Delmia Website: http://www.3ds.com/products- services/delmia/products/all-delmia- products/