Assembly Line Efficiency Improvement by Using WITNESS Simulation Software

Ahmad, Yasir; Mohamed, Nik Abdullah Nik

doi:10.1088/1757-899x/319/1/012004

Cited by 8 publications

(4 citation statements)

References 9 publications

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“…As shown, 65 trouser assembly line tasks were assigned in 39 workstations with total workstations time of 41.763 minutes and total idle time of 33.117 minutes. The idle time for workstations number 5,6,8,10,19,21,24,26,27,28,29,33,34,36,37,38, and 39 remained very high because of the restrictions on the resource (machine type and helpers) and the precedence relations. The precedence diagram illustrating the relations between 65 tasks in 39 workstations was presented as shown in Figure 5.…”

Section: Ranked Positional Weight Line Balancing For Scenariomentioning

confidence: 99%

Improvement of garment assembly line efficiency using line balancing technique

Bongomin

Mwasiagi

Nganyi

et al. 2020

Engineering Reports

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The current competitiveness of garment manufacturing industries is highly dependent on ability to improve efficiency and effectiveness of resource utilization through proper application of industrial engineering techniques such as line balancing and time study. However, very few apparel industries have comprehended industrial engineering function due to little knowledge on practical application of industrial engineering techniques. The present study aimed at balancing a trouser assembly line using the ranked positional weight technique to increase the line efficiency as well as minimize the number of workstations without violating the constraints: precedence relations, cycle time, and resource type. The empirical study was conducted at Southern Range Nyanza Limited (NYTIL) garment manufacturing facility to demonstrate the practical application of ranked positional weight line balancing technique. Results showed that ranked positional weight method is suitable only for assembly line balancing with no constraint on the resource. However, most complex garment assembly lines consist of a number of different machine types rendering ranked positional weight method practically ineffective for improving line efficiency of a complex garment assembly line. Therefore, profound line balancing using simulation-based optimization to improve the line efficiency of complex garment assembly line should be investigated. K E Y W O R D S assembly line, heuristic line balancing, line efficiency, performance indicators, ranked positional weight, resource constraints

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Section: Ranked Positional Weight Line Balancing For Scenariomentioning

confidence: 99%

Improvement of garment assembly line efficiency using line balancing technique

Bongomin

Mwasiagi

Nganyi

et al. 2020

Engineering Reports

View full text Add to dashboard Cite

show abstract

“…It can also be used to identify bottlenecks on the assembly line and to assess the impact of different balancing strategies. There are several simulation software packages that are commonly used to solve balancing problems and studies on the assembly line, including Arena [45,51,52], FlexSim [12,53,54], Simio [55][56][57], Promodel [58][59][60], AnyLogic [61,62], Plant Simulation [63,64], and Witness [65][66][67][68].…”

Section: Simulation Approachmentioning

confidence: 99%

A Comprehensive Review: Analysing the Pros and Cons of Assembly Line Balancing Methods

Aida Husna Ahmad,

Shahrul Azmir Osman,

Saliza Azlina Osman

et al. 2024

ARASET

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Assembly line balancing plays a crucial role in optimizing production efficiency and resource utilization in manufacturing processes. Assembly line balancing helps to counter problems that occurred in the production industry such as uneven task distribution, bottlenecks, idle time, complexity, and time constraints. This review paper provides a comprehensive analysis of different methods used in assembly line balancing. The study includes exact methods, heuristics methods, meta-heuristics methods, simulation approach and queuing concept. The advantages and disadvantages of each method are examined, taking into account factors such as solution quality, computational complexity, flexibility, and applicability to different production environments. The review highlights the strengths and limitations of each method, allowing researchers and practitioners to gain insight into their suitability for specific scenarios depending on different criteria. Overall, this review serves as a valuable resource for understanding the different approaches and choosing appropriate methods to optimize assembly line balance in different manufacturing environments.

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“…The first is simulation-based which is used for 'what-if' scenario based analysis with each alternative configuration provided by the user (e.g. Delmia Quest [12], ARENA [13], SIMUL8 [14], and Witness [15]). The second is Labour focused, Automatic Balancing which is less reliant on user inputs / decisions as balancing is executed but still requires initial assumptions / constraints to arrive at a solution (e.g.…”

Section: Introductionmentioning

confidence: 99%

A New Multi-Objective Genetic Algorithm for Assembly Line Balancing

Butterfield

Murphy

2022

Journal of Computing and Information Science in Engineering

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Predictive methods in production planning need to be more intelligent and self-adapting in order to reduce or negate the need for human decision making and / or intervention and deliver on their potential as a key element of Industry 4.0 operations in the manufacturing enterprise. Ultimately, this will facilitate closed loop data flows and ‘lights out’ approaches to the virtual planning and validation of manufacturing systems as well as the creation and function of digital twins for the ongoing operation of the system as the product lifecycle evolves. The aim of this work is to enable a step towards a self-adapting digital toolset for manufacturing planning focusing on minimally constrained assembly line balancing. A bespoke Genetic Algorithm (GENALSAS) has been developed and demonstrated which focuses on examining the Simple Assembly Line Balancing Problem (SALBP). The approach includes the simultaneous definition of the optimum number of workstations, the optimum cycle time and the assignment of tasks to workstations. The GA has been shown to consistently deliver detailed production plans for SALBP problem forms with minimum inputs (neither the number of workstations nor the system cycle time is assumed/fixed as in previous work in the field). The work simultaneously attains better performing solutions compared with previous studies both in terms of time to converge and the quality of the solution.

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Assembly Line Efficiency Improvement by Using WITNESS Simulation Software

Cited by 8 publications

References 9 publications

Improvement of garment assembly line efficiency using line balancing technique

Improvement of garment assembly line efficiency using line balancing technique

A Comprehensive Review: Analysing the Pros and Cons of Assembly Line Balancing Methods

A New Multi-Objective Genetic Algorithm for Assembly Line Balancing

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