The Rank Positional Weight Method can be used to develop and balance an assembly line. In this method, work elements are divided among workstations depending on the duration of work elements and their precedence position. Copy the link given below and paste it in new browser window to get more information on Ranked Positional Weight Method:-
http://www.transtutors.com/homework-help/industrial-management/line-balancing/ranked-positional-weight-method.aspx
This presentation is on the based on case study done by using line balancing technique which a prime concern for an industrial engineer. This shows an efficient line balancing for a better production line performed at Runner Automobiles Ltd, Bangladesh.
After discussing the Lean in Accounts Payable Process, here I am discussing, commonly used Lean tools which are used to control different types of wastes. An organization or a manufacturing unit can implement different tool for different process considering the type of waste which is to be controlled.
Poor layout design is determined as a major problem
in small and medium industry. These particular problems thus
affect the productivity and the line efficiency as well. In
automotive industries, assembly line is the major area to be
taken into consideration for increasing productivity. The focus
of this paper is to identify the bottleneck workstations in the
current layout and eliminate those activities that are taking time
on that workstations. The time study is done by using camera.
The current layout is redesigned by computing takt time and
processing times in each workstations. The case study shows how
the takt time calculation is done and from this takt time the
processing time is decided for all workstations. The time
consuming activities are reduced and thus the processing times
at all workstations is made possibly equal. The time reduction
increases productivity in the form of increased number of units
of production in the same previous time.
Line efficiency is also found to be improved which is described
with the terms Overall Line Efficiency (OLE) and First Pass
Yield (First Time Through) units.
The Rank Positional Weight Method can be used to develop and balance an assembly line. In this method, work elements are divided among workstations depending on the duration of work elements and their precedence position. Copy the link given below and paste it in new browser window to get more information on Ranked Positional Weight Method:-
http://www.transtutors.com/homework-help/industrial-management/line-balancing/ranked-positional-weight-method.aspx
This presentation is on the based on case study done by using line balancing technique which a prime concern for an industrial engineer. This shows an efficient line balancing for a better production line performed at Runner Automobiles Ltd, Bangladesh.
After discussing the Lean in Accounts Payable Process, here I am discussing, commonly used Lean tools which are used to control different types of wastes. An organization or a manufacturing unit can implement different tool for different process considering the type of waste which is to be controlled.
Poor layout design is determined as a major problem
in small and medium industry. These particular problems thus
affect the productivity and the line efficiency as well. In
automotive industries, assembly line is the major area to be
taken into consideration for increasing productivity. The focus
of this paper is to identify the bottleneck workstations in the
current layout and eliminate those activities that are taking time
on that workstations. The time study is done by using camera.
The current layout is redesigned by computing takt time and
processing times in each workstations. The case study shows how
the takt time calculation is done and from this takt time the
processing time is decided for all workstations. The time
consuming activities are reduced and thus the processing times
at all workstations is made possibly equal. The time reduction
increases productivity in the form of increased number of units
of production in the same previous time.
Line efficiency is also found to be improved which is described
with the terms Overall Line Efficiency (OLE) and First Pass
Yield (First Time Through) units.
Integrated fuzzylogic controller for a Brushless DC Servomotor systemEhab Al hamayel
This presentation discusses the designing and simulation of "Integrated fuzzylogic controller for a Brushless DC Servomotor system" using Matlab simulink
Operations Management : Line BalancingRohan Bharaj
This presentation gives us details about the different methods of Line Balancing.
It also gives an example of Ford Motors and how Line Balancing helped Ford become a powerhouse in the early 1900s
Overview of the fundamental roles in Hydropower generation and the components involved in wider Electrical Engineering.
This paper presents the design and construction of hydroelectric dams from the hydrologist’s survey of the valley before construction, all aspects and involved disciplines, fluid dynamics, structural engineering, generation and mains frequency regulation to the very transmission of power through the network in the United Kingdom.
Author: Robbie Edward Sayers
Collaborators and co editors: Charlie Sims and Connor Healey.
(C) 2024 Robbie E. Sayers
Water scarcity is the lack of fresh water resources to meet the standard water demand. There are two type of water scarcity. One is physical. The other is economic water scarcity.
Immunizing Image Classifiers Against Localized Adversary Attacksgerogepatton
This paper addresses the vulnerability of deep learning models, particularly convolutional neural networks
(CNN)s, to adversarial attacks and presents a proactive training technique designed to counter them. We
introduce a novel volumization algorithm, which transforms 2D images into 3D volumetric representations.
When combined with 3D convolution and deep curriculum learning optimization (CLO), itsignificantly improves
the immunity of models against localized universal attacks by up to 40%. We evaluate our proposed approach
using contemporary CNN architectures and the modified Canadian Institute for Advanced Research (CIFAR-10
and CIFAR-100) and ImageNet Large Scale Visual Recognition Challenge (ILSVRC12) datasets, showcasing
accuracy improvements over previous techniques. The results indicate that the combination of the volumetric
input and curriculum learning holds significant promise for mitigating adversarial attacks without necessitating
adversary training.
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Welcome to WIPAC Monthly the magazine brought to you by the LinkedIn Group Water Industry Process Automation & Control.
In this month's edition, along with this month's industry news to celebrate the 13 years since the group was created we have articles including
A case study of the used of Advanced Process Control at the Wastewater Treatment works at Lleida in Spain
A look back on an article on smart wastewater networks in order to see how the industry has measured up in the interim around the adoption of Digital Transformation in the Water Industry.
Democratizing Fuzzing at Scale by Abhishek Aryaabh.arya
Presented at NUS: Fuzzing and Software Security Summer School 2024
This keynote talks about the democratization of fuzzing at scale, highlighting the collaboration between open source communities, academia, and industry to advance the field of fuzzing. It delves into the history of fuzzing, the development of scalable fuzzing platforms, and the empowerment of community-driven research. The talk will further discuss recent advancements leveraging AI/ML and offer insights into the future evolution of the fuzzing landscape.
Vaccine management system project report documentation..pdfKamal Acharya
The Division of Vaccine and Immunization is facing increasing difficulty monitoring vaccines and other commodities distribution once they have been distributed from the national stores. With the introduction of new vaccines, more challenges have been anticipated with this additions posing serious threat to the already over strained vaccine supply chain system in Kenya.
TECHNICAL TRAINING MANUAL GENERAL FAMILIARIZATION COURSEDuvanRamosGarzon1
AIRCRAFT GENERAL
The Single Aisle is the most advanced family aircraft in service today, with fly-by-wire flight controls.
The A318, A319, A320 and A321 are twin-engine subsonic medium range aircraft.
The family offers a choice of engines
2. Definition of assembly lines
Assembly line is a sequence of work stations performing a specified
repeated tasks on a product units moving along the line at constant speed.
Each unit of the product spends the same amount of time in every station,
this time is called cycle time.
The sequence, in which operations must be performed, follow certain
constraints called precedence relations.
3. Assembly line balancing (ALB)
It is the procedure concerning the assignment of tasks to work stations so
that:
• Precedence relations are respected.
• Workstation time do not exceed the cycl time.
• Minimize the total idle time.
4. Important relations
Cycle time (C) =
𝐴𝑣𝑎𝑖𝑙𝑎𝑏𝑙𝑒 𝑤𝑜𝑟𝑘𝑖𝑛𝑔 𝑡𝑖𝑚𝑒
𝐶𝑢𝑠𝑡𝑜𝑚𝑒𝑟 𝑑𝑒𝑚𝑎𝑛𝑑 𝑜𝑟 𝑡ℎ𝑒 𝑑𝑒𝑠𝑖𝑟𝑒𝑑 𝑝𝑟𝑜𝑑𝑢𝑐𝑡𝑖𝑜𝑛
Theoretical number of work stations (N)=
𝑆𝑢𝑚𝑚𝑎𝑡𝑖𝑜𝑛 𝑜𝑓 𝑡𝑎𝑠𝑘 𝑡𝑖𝑚𝑒𝑠
𝑐𝑦𝑐𝑙𝑒 𝑡𝑖𝑚𝑒
Theoretical line efficiency =
𝑆𝑢𝑚𝑚𝑎𝑡𝑖𝑜𝑛 𝑜𝑓 𝑡𝑎𝑠𝑘 𝑡𝑖𝑚𝑒𝑠
𝑁∗𝐶
%
Balance delay (BD) =1-Efficiency.
Smoothing index (SI)= (𝑀𝑎𝑥𝑖𝑚𝑢𝑚 𝑠𝑡𝑎𝑡𝑖𝑜𝑛 𝑡𝑖𝑚𝑒 − 𝑠𝑡𝑎𝑡𝑖𝑜𝑛 𝑡𝑖𝑚𝑒)
2
SI is preferred to be small and near zero. This indicates a perfect workload
balance.
5. Goals of ALB
The ALB problem can be classified to different types according to the
objective as the following:
• Type-1: minimizing the total number of stations.
• Type-2: minimize the number of work stations.
• Type-3: maximize the work load balance.
• Type-E: this type is concerned with maximizing the efficiency of assembly
line by minimizing cycle time and number of stations.
6. Example
The example below shows the tasks required for assembly of electric fan
and the time of each task and the precedence relations between tasks.
Code task time
A Assemble frame 3
B Mount switch 1
C Assemble motor housing 3.25
D Mount motor housing in frame 1.2
E Attach blade 0.5
F Assemble and attach safety grill 1
G Attach cord 1
H Test 1.4
A
C
B
D E F
G
H
2
3.25
1
1.2 .5
1
1.4
1
7. Daily demand 100 units per day and the available working time is 420
minutes daily.
Required cycle time (C) =
420
100
= 4.2 minutes/ unit
Theoretical number of work stations =
𝑆𝑢𝑚𝑚𝑎𝑡𝑖𝑜𝑛 𝑜𝑓 𝑡𝑎𝑠𝑘 𝑡𝑖𝑚𝑒𝑠
𝑐𝑦𝑐𝑙𝑒 𝑡𝑖𝑚𝑒
=
11.35
4.2
=
2.702. (round up to nearest integer number = 3).
8. Station no. Task Description Predecessors Assigned
time (min)
Remaining
time
1 A
B
G
Assemble Frame
Mount Switch
Attach Cord
-
A
B
2
1
1
2.2
1.2
0.2
2 C Assemble Motor Housing - 3.25 0.95
3 D
E
F
H
Mount motor housing in
frame
Attach Blade
Assemble and attach safety
grill
Test
A,C
D
E
F,G
1.2
0.5
1
1.4
3
2.5
1.5
0.1
9. Performance criteria of the line
Actual cycle time (realized cycle time) =4.1
Line efficiency =
11.35
4.1∗3
= 92.27 %
SI= 0.98