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International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056
Volume: 06 Issue: 04 | Apr 2019 www.irjet.net p-ISSN: 2395-0072
© 2019, IRJET | Impact Factor value: 7.211 | ISO 9001:2008 Certified Journal | Page 2627
Basic Study of Assembly Line Balancing
Rohan Agarwal1, Devang Bagul2, Chinmay Agey3, Pratik Ayare4
1234Final Year Mechanical Students, BVCOE, Navi Mumbai, Maharashtra
---------------------------------------------------------------------***---------------------------------------------------------------------
Abstract - Assembly Line production is one of the best-used
production systems. Th e main problem of Assembly Line
Balancing that is often faced by the industries is the
minimization of the number of workstations & cycle time and
maximization of workload smoothness and work-relatedness.
It is used to assembling quickly large numbers of a uniform
product. In other words, assembly line balancing (ALB) makes
efficient flow-line systems available for low volume assembly-
to-order productionandenablesmodernproductionstrategies
like mass customization. Assembly lines are the most
attractive means of large-scale production. Aftertheinvention
of the assembly line by Henry Ford, many developments have
been further taken place in productionsystemswhichchanged
assembly lines from strictly paced and straight single model
lines to a more flexible system with includes intermediate
buffers. Ford was the first person to build factories based on
this concept. In this research paper, a basic study is done on
assembly line balancing methods. The design ofassemblylines
is an important issue in modern days in manufacturing
engineering, management, and control. Simple line-balancing
problem method mainly consists of assigning tasks, necessary
for manufacture a product, to workstations such that the idle
time is minimized while the tasks are satisfied.
Key Words: Assembly, workstations, feasible, precedence,
constraints, unpeace, stochastic
1.INTRODUCTION
Modern production systems are characterized by
short product life-cycles, high level of automation, the
emergence of new manufacturing equipment and
technologies, and high investment. Assembly is a key to
success to the production activity; thus, it is often necessary
to develop assembly lines. Assembly lines are mainly
characterized as production systems that include serially
located workstations in which operations or tasks are
continuously processed. They are employed in many
industries like the automobile, electronics, etc. where the
objective is to produce a large series of similarproducts.The
design of assembly lines is an important issue in
manufacturing engineering and management, Askin and
Standridge (1993), Dolgui and Proth (2010). The balancing
of workstations is the most interesting performance index
for assembly line design. The simple line-balancing problem
consists of assigning tasks for assemblinga productto work-
stations (or the number of stations, cycle time, cost) is
minimized and precedence constraints between tasks are
satisfied.
Salveson (1955) has suggested a linear program to
describe all possible tasks for an assembly line. There is no
constraint on task splitting and so it may generate infeasible
solutions. Bowman (1960) added a ‘non-divisibility’
constraint by using a zero-oneintegerprogram.Anassembly
line balancing problem can also be modeled with a tree
where each arc represents a station and each path
corresponds to a feasible balancing solution, see Jack-son
(1956).
In Wee and Magazine (1982), based on the bin
packing algorithms are suggested. There are also dedicated
heuristics, for example, the ranked positional weight (RPW)
algorithm, Helgeson and Birnie (1961):first,assignthetasks
which have long chains of succeedingtasks.Thelengthof the
chain is measured either by the number of successor
operations or by the sum of the operation times.
Kilbridge and Wester (1961) have suggested a
method which is based on the graph presentation of
precedence constraints. Tasks are further assigned layer by
layer because there are no precedence constraints between
tasks of the same layer of a graph. In the past, assembly lines
were developed for a cost-efficient mass production of
similar products.it makes efficientflow-linesystemavailable
for low volume assembly order production and enables
modern production strategies like mass customization. In
this manufacturing process,interchangeablepartsareadded
to a product in a most suitable sequential manner tocreatea
finished product. Assembly Line Balancing is defined as
assigning the tasks to a minimum number of workstations
for a given cycle time.
Assembly line balancing is mainly used to achieve the
following objectives:
 minimization of the number of workstations;
 minimization of cycle time;
 maximization of workload smoothness;
 maximization of work relatedness.
Due to assembly line balancing, there isa suddendecreasein
the costs of production, lower prices ofmanufacturedgoods,
better competitiveness of enterprises, and better
exploitation of the market’s potential.
2. MAIN TYPES OF ASSEMBLY LINES
There are many types of assembly line systems,
which commonly include classic, intermittent, automated,
and lean manufacturing models. These assembly line
International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056
Volume: 06 Issue: 04 | Apr 2019 www.irjet.net p-ISSN: 2395-0072
© 2019, IRJET | Impact Factor value: 7.211 | ISO 9001:2008 Certified Journal | Page 2628
systems are used for making different types of products.
Assembly lines have few shared characteristics. Figure 1
illustrates the kinds of assembly systems. The types of
assembly lines are as follows:
1. Single Model Assembly Line
Single model assembly line is a type of assembly line in
which assembly workers work on same kind of products.
2. Mixed Model Assembly Line.
In mixed-model assembly line, it is the practice of
assembling several models of a product on the same
assembly line without changeovers and then sequencing
those models in a way that smoothest demand for upcoming
components. Setup times between models can be reduced
enough that intermixed model sequences can be assembled
on the same assembly line. In spite of the many efforts to
make production systems more versatile, this usually
requires homogeneous production processes. The objective
of this type of assembly line is to smoothen the demand on
work centers, manufacturing cells or suppliers and thereby
reduce inventory, eliminate changeovers, improve Kanban
operation. It eliminates difficult assembly line changeovers.
The Mixed-Model Assembly Line (MMAL) is complex to
balance where several types of the products are assembled
on the line simultaneously which considerstheshapeofline.
3. Multi Model Assembly Line
Multi-product production delay withprocessmanufacturers
where single or multiple components run through a
processing line which delivers end items and finished
products. Serial or Lot control forcomponentsandenditems
are available, as is a variety of costing and yielding methods.
Fig. 1. Assembly lines for single and multiple products.
Assembly line balancing relates to a finite set of work
elements or tasks, where each have an operation processing
time and a set of precedence relations, which specify
ordering of the tasks. One of the problems in organizing
mass production is how togroupwork taskstobeperformed
on workstations so as to achieve the optimized level of
performance.
Line balancing helps to allocate equal amounts of work to
the various workstations along the line. The fundamental
line balancing assigns a set of tasks to an ordered set of
workstations, such that precedent relationsaresatisfiedand
overall performance is optimized. The aim of assembly line
balancing problem is to assign activities to stations in
accordance to various precedence relationships while
performance is optimized. According to Ghosh and Gagnon
[2], two main types of measurements have been used in the
ALBPs. The first one is technical measurementssuchas cycle
time, balance delay or total idle time, and minimization of
number of workstations. The second one is economic
measurements like profit maximization and cost
minimization.
4. Peace and Unpeace Assembly Line
In peace assembly system, a fixed time value restricts the
work content of stations. Assembly lines withthis natureare
called paced, as all stations can begin with their operations
at the same point in time and pass on work pieces at the
same rate. In unpeace line system, work pieces do not need
to wait until a predetermined time interval is elapsed, but
are rather transferred when the required operations are
finished. This type of line control is implemented if
stochastic and probability distributive variations influence
processing times.
Generally, assembly line balancing problem occur when an
assembly line is to be designed or redesigned. The assembly
line problem was firstly introduced by Henry Ford in 1915,
the father of modern assembly line used in massproduction.
3. WHY WE USED LINE BALANCING
Generic algorithm and fuzzy logic are used in places
that have traditional assembly line and new assembly lines
such as heuristic and U-type. Simulationmethodisoftenused
to improve parameters like productivity and to obtain high
yield.
Completion of this goal is done by considering the previous
technique which is used to locate a machine, also assignment
of employer to machine is done with the help of this. Withthe
help of line balancing, few companies are successful in the
area where 1 employer controls 2 or more than 2 machines.
Advantages of line balancing are mainly are, increasing the
International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056
Volume: 06 Issue: 04 | Apr 2019 www.irjet.net p-ISSN: 2395-0072
© 2019, IRJET | Impact Factor value: 7.211 | ISO 9001:2008 Certified Journal | Page 2629
rate of production, to cut short man power and idle timenear
machine. Line balancing is also used for producingmorethan
2 products at a time. In mass production system, most
important component is line balancing. It is veryusefulofthe
manufacturers who produce products in highvolume,ithelps
to complete their products fast and reduces the cost as well.
Balancing performance is the key factor in determining the
productivity level of line balancing. Assigning the tasks to
successive workstations considering some constraints and
optimizing the performance is the task of assembly line
balancing. It minimizes the number of workstationsusedina
workplace.
4. ASSEMBLY LINE BALANCING TERMINOLOGIES
The terminologies often used in assembly line
balancing are told in this section. Workstation. To perform a
given assigned task a particular location is there, which is
workstation. Usually,a workstationisaccustomedbyonly one
operator.
Several operators also work on a workstation, e.g.
automobile production line. Minimumrationalwork element.
Minimum work unit in the assembly line after which work
cannot be divided. In an aircraft assembly, fixing engines, fuel
tank, wings etc., are some of the examples of minimum
rational work element. Cycle time. It is the maximum time of
individual workstations. Cycle time = (Production time per
day/Output per day). For e.g. A firm produces bicycles at the
rate of 420 bicycles per day. Time taken to produce one
bicycle is 420 minutes.
To get the cycle time in seconds, multiply the
production time by 60. Therefore, the calculations are as
follows, (420*60)/420 = 60 seconds. Efficiency = (Sum of all
task times)/(Actual number of workstations*cycle time).
BENEFITS OF ASSEMBLY LINE BALANCING
Two types of benefits are obtained from assembly
line balancing. Technical benefits – Reduction in the number
of workstations for a given number of cycles.
Cycle time is also reduced for the given number of
workstations -Balance delay is minimized. -Total idle time is
reduced. -Overall line length is reduced.
The objective of line balancing is to distribute the
task to different workstations and it aims at bringing the
workstation together to achieve optimization in the time
required, number of workers required etc. Reduction in the
delay is another important factor in line balancing. Buffer
time is also reduced which helps in better utilization of
machines in the workplace. Aims of study are as follows: -
 Improvement in productivity and decrement in
production cost.
 Figure out the minimum number of workstations.
 Elimination of bottleneck by locating and identifying
them.
 Determination of different machinery required.
 Equal distribution of workload among workers.
 Optimization of production functionsbothmanually
and automatically.
 Minimization of idle time and buffer time.
REFERENCES
[1]. M. Fathi, M. J. Alvarez, V. Rodríguez (2011) “A new
heuristic approach to solving u-shapeassemblyline
balancing problems type-1” World academy of
science, engineering andtechnologyvol:52011-11-
25
[2]. Naveen Kumar & Dalgobind Mahto(2013)
“Assembly Line Balancing: A Review of
Developments and TrendsinApproachtoIndustrial
Application” Global Journal of Researches in
Engineering Industrial Engineering Vol 13 Issue 2
Version 1.0
[3]. V. P. Jaganathan (2014) “Line balancing using
largest candidate rule algorithm in a garment
industry: a case study”. International journal oflean
thinking, issue 1 December 2014.
[4]. James C. Chen (2014) “Assembly Line Balancing
Problem of Sewing Lines in Garment Industry”
Proceedings of the 2014 International Conference
on Industrial Engineering and Operations
Management Bali, Indonesia, January 7 – 9, 2014.
[5]. PATRICK R. MCMULLEN1 and PETER
TARASEWICH2 (2003) “Using ant techniques to
solve the assembly line Balancing problem” IIE
Transactions (2003) 35, 605–617
[6]. Dr. Poornima G. Naik Girish R. Naik (2013)
Application of Genetic Algorithm to Mass
Production Line for Productivity Improvement
International Journal of Latest Trends in
Engineering and Technology (IJLTET) Special Issue
- IDEAS-2013
[7]. Kuan Eng Chong, Mohamed K. Omar, and Nooh Abu
Bakar (2008) “Solving Assembly Line Balancing
Problem using Genetic Algorithm with
International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056
Volume: 06 Issue: 04 | Apr 2019 www.irjet.net p-ISSN: 2395-0072
© 2019, IRJET | Impact Factor value: 7.211 | ISO 9001:2008 Certified Journal | Page 2630
HeuristicsTreatedInitial Population”Proceedingsof
the World Congress on Engineering 2008 Vol II
WCE 2008, July 2 - 4, 2008, London, U.K.
[8]. Matthias amen (2006), “cost-orientedassemblyline
balancing: model formulations, solution difficulty,
upper and lower bounds”. European journal of
operational research vol. 168, pp.747–770.
[9]. Nils Boysen A, Malte fliedner a, arminschool (2007)
A classificationofassemblyline balancingproblems.
European journal of operational research 183 674–
693
(2008) “Assembly line balancing: Which model to
use when?”. Int. J. Production Economics Vol.111,
pp.509–528
[10]. Nils Boysen, Malte Fliedner, Armin Scholl

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IRJET- Basic Study of Assembly Line Balancing

  • 1. International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 06 Issue: 04 | Apr 2019 www.irjet.net p-ISSN: 2395-0072 © 2019, IRJET | Impact Factor value: 7.211 | ISO 9001:2008 Certified Journal | Page 2627 Basic Study of Assembly Line Balancing Rohan Agarwal1, Devang Bagul2, Chinmay Agey3, Pratik Ayare4 1234Final Year Mechanical Students, BVCOE, Navi Mumbai, Maharashtra ---------------------------------------------------------------------***--------------------------------------------------------------------- Abstract - Assembly Line production is one of the best-used production systems. Th e main problem of Assembly Line Balancing that is often faced by the industries is the minimization of the number of workstations & cycle time and maximization of workload smoothness and work-relatedness. It is used to assembling quickly large numbers of a uniform product. In other words, assembly line balancing (ALB) makes efficient flow-line systems available for low volume assembly- to-order productionandenablesmodernproductionstrategies like mass customization. Assembly lines are the most attractive means of large-scale production. Aftertheinvention of the assembly line by Henry Ford, many developments have been further taken place in productionsystemswhichchanged assembly lines from strictly paced and straight single model lines to a more flexible system with includes intermediate buffers. Ford was the first person to build factories based on this concept. In this research paper, a basic study is done on assembly line balancing methods. The design ofassemblylines is an important issue in modern days in manufacturing engineering, management, and control. Simple line-balancing problem method mainly consists of assigning tasks, necessary for manufacture a product, to workstations such that the idle time is minimized while the tasks are satisfied. Key Words: Assembly, workstations, feasible, precedence, constraints, unpeace, stochastic 1.INTRODUCTION Modern production systems are characterized by short product life-cycles, high level of automation, the emergence of new manufacturing equipment and technologies, and high investment. Assembly is a key to success to the production activity; thus, it is often necessary to develop assembly lines. Assembly lines are mainly characterized as production systems that include serially located workstations in which operations or tasks are continuously processed. They are employed in many industries like the automobile, electronics, etc. where the objective is to produce a large series of similarproducts.The design of assembly lines is an important issue in manufacturing engineering and management, Askin and Standridge (1993), Dolgui and Proth (2010). The balancing of workstations is the most interesting performance index for assembly line design. The simple line-balancing problem consists of assigning tasks for assemblinga productto work- stations (or the number of stations, cycle time, cost) is minimized and precedence constraints between tasks are satisfied. Salveson (1955) has suggested a linear program to describe all possible tasks for an assembly line. There is no constraint on task splitting and so it may generate infeasible solutions. Bowman (1960) added a ‘non-divisibility’ constraint by using a zero-oneintegerprogram.Anassembly line balancing problem can also be modeled with a tree where each arc represents a station and each path corresponds to a feasible balancing solution, see Jack-son (1956). In Wee and Magazine (1982), based on the bin packing algorithms are suggested. There are also dedicated heuristics, for example, the ranked positional weight (RPW) algorithm, Helgeson and Birnie (1961):first,assignthetasks which have long chains of succeedingtasks.Thelengthof the chain is measured either by the number of successor operations or by the sum of the operation times. Kilbridge and Wester (1961) have suggested a method which is based on the graph presentation of precedence constraints. Tasks are further assigned layer by layer because there are no precedence constraints between tasks of the same layer of a graph. In the past, assembly lines were developed for a cost-efficient mass production of similar products.it makes efficientflow-linesystemavailable for low volume assembly order production and enables modern production strategies like mass customization. In this manufacturing process,interchangeablepartsareadded to a product in a most suitable sequential manner tocreatea finished product. Assembly Line Balancing is defined as assigning the tasks to a minimum number of workstations for a given cycle time. Assembly line balancing is mainly used to achieve the following objectives:  minimization of the number of workstations;  minimization of cycle time;  maximization of workload smoothness;  maximization of work relatedness. Due to assembly line balancing, there isa suddendecreasein the costs of production, lower prices ofmanufacturedgoods, better competitiveness of enterprises, and better exploitation of the market’s potential. 2. MAIN TYPES OF ASSEMBLY LINES There are many types of assembly line systems, which commonly include classic, intermittent, automated, and lean manufacturing models. These assembly line
  • 2. International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 06 Issue: 04 | Apr 2019 www.irjet.net p-ISSN: 2395-0072 © 2019, IRJET | Impact Factor value: 7.211 | ISO 9001:2008 Certified Journal | Page 2628 systems are used for making different types of products. Assembly lines have few shared characteristics. Figure 1 illustrates the kinds of assembly systems. The types of assembly lines are as follows: 1. Single Model Assembly Line Single model assembly line is a type of assembly line in which assembly workers work on same kind of products. 2. Mixed Model Assembly Line. In mixed-model assembly line, it is the practice of assembling several models of a product on the same assembly line without changeovers and then sequencing those models in a way that smoothest demand for upcoming components. Setup times between models can be reduced enough that intermixed model sequences can be assembled on the same assembly line. In spite of the many efforts to make production systems more versatile, this usually requires homogeneous production processes. The objective of this type of assembly line is to smoothen the demand on work centers, manufacturing cells or suppliers and thereby reduce inventory, eliminate changeovers, improve Kanban operation. It eliminates difficult assembly line changeovers. The Mixed-Model Assembly Line (MMAL) is complex to balance where several types of the products are assembled on the line simultaneously which considerstheshapeofline. 3. Multi Model Assembly Line Multi-product production delay withprocessmanufacturers where single or multiple components run through a processing line which delivers end items and finished products. Serial or Lot control forcomponentsandenditems are available, as is a variety of costing and yielding methods. Fig. 1. Assembly lines for single and multiple products. Assembly line balancing relates to a finite set of work elements or tasks, where each have an operation processing time and a set of precedence relations, which specify ordering of the tasks. One of the problems in organizing mass production is how togroupwork taskstobeperformed on workstations so as to achieve the optimized level of performance. Line balancing helps to allocate equal amounts of work to the various workstations along the line. The fundamental line balancing assigns a set of tasks to an ordered set of workstations, such that precedent relationsaresatisfiedand overall performance is optimized. The aim of assembly line balancing problem is to assign activities to stations in accordance to various precedence relationships while performance is optimized. According to Ghosh and Gagnon [2], two main types of measurements have been used in the ALBPs. The first one is technical measurementssuchas cycle time, balance delay or total idle time, and minimization of number of workstations. The second one is economic measurements like profit maximization and cost minimization. 4. Peace and Unpeace Assembly Line In peace assembly system, a fixed time value restricts the work content of stations. Assembly lines withthis natureare called paced, as all stations can begin with their operations at the same point in time and pass on work pieces at the same rate. In unpeace line system, work pieces do not need to wait until a predetermined time interval is elapsed, but are rather transferred when the required operations are finished. This type of line control is implemented if stochastic and probability distributive variations influence processing times. Generally, assembly line balancing problem occur when an assembly line is to be designed or redesigned. The assembly line problem was firstly introduced by Henry Ford in 1915, the father of modern assembly line used in massproduction. 3. WHY WE USED LINE BALANCING Generic algorithm and fuzzy logic are used in places that have traditional assembly line and new assembly lines such as heuristic and U-type. Simulationmethodisoftenused to improve parameters like productivity and to obtain high yield. Completion of this goal is done by considering the previous technique which is used to locate a machine, also assignment of employer to machine is done with the help of this. Withthe help of line balancing, few companies are successful in the area where 1 employer controls 2 or more than 2 machines. Advantages of line balancing are mainly are, increasing the
  • 3. International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 06 Issue: 04 | Apr 2019 www.irjet.net p-ISSN: 2395-0072 © 2019, IRJET | Impact Factor value: 7.211 | ISO 9001:2008 Certified Journal | Page 2629 rate of production, to cut short man power and idle timenear machine. Line balancing is also used for producingmorethan 2 products at a time. In mass production system, most important component is line balancing. It is veryusefulofthe manufacturers who produce products in highvolume,ithelps to complete their products fast and reduces the cost as well. Balancing performance is the key factor in determining the productivity level of line balancing. Assigning the tasks to successive workstations considering some constraints and optimizing the performance is the task of assembly line balancing. It minimizes the number of workstationsusedina workplace. 4. ASSEMBLY LINE BALANCING TERMINOLOGIES The terminologies often used in assembly line balancing are told in this section. Workstation. To perform a given assigned task a particular location is there, which is workstation. Usually,a workstationisaccustomedbyonly one operator. Several operators also work on a workstation, e.g. automobile production line. Minimumrationalwork element. Minimum work unit in the assembly line after which work cannot be divided. In an aircraft assembly, fixing engines, fuel tank, wings etc., are some of the examples of minimum rational work element. Cycle time. It is the maximum time of individual workstations. Cycle time = (Production time per day/Output per day). For e.g. A firm produces bicycles at the rate of 420 bicycles per day. Time taken to produce one bicycle is 420 minutes. To get the cycle time in seconds, multiply the production time by 60. Therefore, the calculations are as follows, (420*60)/420 = 60 seconds. Efficiency = (Sum of all task times)/(Actual number of workstations*cycle time). BENEFITS OF ASSEMBLY LINE BALANCING Two types of benefits are obtained from assembly line balancing. Technical benefits – Reduction in the number of workstations for a given number of cycles. Cycle time is also reduced for the given number of workstations -Balance delay is minimized. -Total idle time is reduced. -Overall line length is reduced. The objective of line balancing is to distribute the task to different workstations and it aims at bringing the workstation together to achieve optimization in the time required, number of workers required etc. Reduction in the delay is another important factor in line balancing. Buffer time is also reduced which helps in better utilization of machines in the workplace. Aims of study are as follows: -  Improvement in productivity and decrement in production cost.  Figure out the minimum number of workstations.  Elimination of bottleneck by locating and identifying them.  Determination of different machinery required.  Equal distribution of workload among workers.  Optimization of production functionsbothmanually and automatically.  Minimization of idle time and buffer time. REFERENCES [1]. M. Fathi, M. J. Alvarez, V. Rodríguez (2011) “A new heuristic approach to solving u-shapeassemblyline balancing problems type-1” World academy of science, engineering andtechnologyvol:52011-11- 25 [2]. Naveen Kumar & Dalgobind Mahto(2013) “Assembly Line Balancing: A Review of Developments and TrendsinApproachtoIndustrial Application” Global Journal of Researches in Engineering Industrial Engineering Vol 13 Issue 2 Version 1.0 [3]. V. P. Jaganathan (2014) “Line balancing using largest candidate rule algorithm in a garment industry: a case study”. International journal oflean thinking, issue 1 December 2014. [4]. James C. Chen (2014) “Assembly Line Balancing Problem of Sewing Lines in Garment Industry” Proceedings of the 2014 International Conference on Industrial Engineering and Operations Management Bali, Indonesia, January 7 – 9, 2014. [5]. PATRICK R. MCMULLEN1 and PETER TARASEWICH2 (2003) “Using ant techniques to solve the assembly line Balancing problem” IIE Transactions (2003) 35, 605–617 [6]. Dr. Poornima G. Naik Girish R. Naik (2013) Application of Genetic Algorithm to Mass Production Line for Productivity Improvement International Journal of Latest Trends in Engineering and Technology (IJLTET) Special Issue - IDEAS-2013 [7]. Kuan Eng Chong, Mohamed K. Omar, and Nooh Abu Bakar (2008) “Solving Assembly Line Balancing Problem using Genetic Algorithm with
  • 4. International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 06 Issue: 04 | Apr 2019 www.irjet.net p-ISSN: 2395-0072 © 2019, IRJET | Impact Factor value: 7.211 | ISO 9001:2008 Certified Journal | Page 2630 HeuristicsTreatedInitial Population”Proceedingsof the World Congress on Engineering 2008 Vol II WCE 2008, July 2 - 4, 2008, London, U.K. [8]. Matthias amen (2006), “cost-orientedassemblyline balancing: model formulations, solution difficulty, upper and lower bounds”. European journal of operational research vol. 168, pp.747–770. [9]. Nils Boysen A, Malte fliedner a, arminschool (2007) A classificationofassemblyline balancingproblems. European journal of operational research 183 674– 693 (2008) “Assembly line balancing: Which model to use when?”. Int. J. Production Economics Vol.111, pp.509–528 [10]. Nils Boysen, Malte Fliedner, Armin Scholl