Balanceamento de linha de montagem mista em cenários com distintos mix de produtos

Reginato, Gustavo Morandini; Anzanello, Michel J.; Kahmann, Alessandro; Schmidt, Lucas

doi:10.1590/0104-530x1874-14

Cited by 11 publications

(4 citation statements)

References 14 publications

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“…The problem of the imbalance of the assembly line is due to the uneven allocation of workload and the time at several stations that exceed takt time as found in Figure 1. In this study, the balancing of assembly lines is a mixed-model, where assembly lines can produce different models, with adaptability to demand with high levels of efficiency (Reginato et al, 2016). The main purpose of balancing assembly lines according to Eryuk et al (2008) is to minimize the number of work stations with predetermined cycle times or minimize cycle times with the number of work stations that have been determined.…”

Section: Fig 1 Time Distribution For Each Worktationmentioning

confidence: 99%

“…Research conducted by Amen (2001) regarding the solution of assembly-line problems using the heuristic method, found that the heuristic ranked positional weight method has stable results when faced with problems in the real world. Balancing mixed-model assembly lines conducted by Reginato et al (2016) examines and balances workloads with 7 product models using ranked positional weight with moving target (RPW-MVM) method, the results obtained after workload balancing is increased capacity, line efficiency and balancing efficiency.…”

Section: Fig 1 Time Distribution For Each Worktationmentioning

confidence: 99%

“…Balancing mixed-model assembly lines conducted by Reginato et al (2016) examines and balances workloads with 7 product models using ranked positional weight with moving target (RPW-MVM) method, the results obtained after workload balancing is incrThe development carried out by Reginato et al (2016) developed the RPW method in solving problems in the assembly line development, solving assembly line problems using the RPW method which is purely regulated with predetermined cycle times, so that accumulated imbalances can produce assembly line performance. less well, in the RPW-MVM method, there is a limitation of moving target value (MVM) which is used as a reference in balancing and allocating work elements at work stations so that the assembly line is maintained more smoothly and provides a better performance value.…”

Section: Fig 1 Time Distribution For Each Worktationmentioning

confidence: 99%

See 2 more Smart Citations

Mixed-Model Assembly Line Balancing in The Process of Assembling Trimming Area to Minimize Workstation Using RPW-MVM Method

2020

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The development of an industry that continues to move forward coupled with global competition and openness demands that the company continues to evolve and always make improvements in improving the performance of its production process. XYZ Corp is an automotive company based in Germany that produces premium cars, the car assembly process groove at XYZ Corp is a trimming line, mechanical line and finishing line, XYZ Corp produces A-model, B-model and C-model cars. At this time XYZ Corp not achieving the production target due to the car assembly cycle time on the trimming Line 1 area exceeds the specified takt time. Assembly line balancing is required in the trimming area using Mixed-Model Assembly Line Balancing Problem (MALBP) approach to minimize the number of workstation, in the Trimming area assembly line balancing study using the Ranked Positional Weighted with Moving Target (RPW-MVM) method. Alocation constraint should be added due to machine restrictions that cannot be moved. After assembly line balancing, there was a decrease in the number of workstations to 14 workstations with a line efficiency of 86% and balancing efficiency of 97%.

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Section: Fig 1 Time Distribution For Each Worktationmentioning

confidence: 99%

Section: Fig 1 Time Distribution For Each Worktationmentioning

confidence: 99%

Section: Fig 1 Time Distribution For Each Worktationmentioning

confidence: 99%

See 1 more Smart Citation

Mixed-Model Assembly Line Balancing in The Process of Assembling Trimming Area to Minimize Workstation Using RPW-MVM Method

2020

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“…(1) Após se calcular o tempo de ciclo (TC), o próximo passo é determinar o número mínimo (Nmín) de postos de trabalho para a realização do balanceamento de operações, conforme a Equação 2 (REGINATO et al, 2016;SLACK et al, 2002).…”

Section: Aplicação Do Método De Balanceamentounclassified

Balanceamento de operações e simulação a eventos discretos: redução da ociosidade dos operadores em uma linha de montagem

Vilela

Piedade

Montevechi

et al. 2020

Revista PO: R. Eletr. de Eng. de Produção e Correlatas

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A conduta direcionada a intervenções focadas na redução dos desperdícios nas operações da manufatura e serviços são ações precedentes e imperativas que todo gestor de processos deve buscar constantemente. A diminuição das perdas e desperdícios com consequente aumento da eficiência produtiva se configuram como um dos grandes objetivos das organizações e seus stakeholders. Atualmente, várias técnicas e ferramentas para a redução de desperdícios podem ser empregadas, porém, neste trabalho, será utilizado o conceito do nivelamento do fluxo produtivo, que pode ser alcançado por meio do balanceamento de operações. Portanto, o objetivo do presente trabalho é aplicar a simulação computacional como complemento ao método do balanceamento de operações, reduzindo o número de operadores da linha de montagem e suas ociosidades em um processo fabril real. Como método de pesquisa empregou-se o estudo de caso com a utilização de informações e dados reais, coletadas por meio de uma investigação, de oito meses, realizada na empresa. Por conseguinte, pode-se afirmar que o projeto de balanceamento de operações aplicado na linha de montagem foi eficaz, porquanto uma redução da ociosidade geral para um valor próximo a 4% foi constatada, conforme relatório da simulação computacional.

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Applying Available-to-Promise (ATP) Concept in Multi-Model Assembly Line Planning Problems in a Make-to-Order (MTO) Environment

Yüksel

Karakaya

Özgü

et al. 2021

Lecture Notes in Mechanical Engineering

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We consider a multi-model assembly line production planning problem. We assume an environment where orders with several different model types with varying quantities are received by contract manufacturers in a Make-to-Order (MTO) environment. The models are similar enough in such a way that they share some common critical raw materials/parts and are to be produced on an already balanced multi model assembly line. Due to MTO and contracts, there are significant costs associated with earliness and tardiness in addition to inventory and production costs, capacity, and other operational constraints. The challenge is to be able to make quick and accurate decisions regarding whether or not to accept an order and provide a due date along with raw material procurement and production plan that can be followed. This problem is closely related to Available to Promise (ATP) systems. Increased revenue and profitability are expected with the better management of ATP systems by reducing the amount of missed market opportunities and improving operational efficiency. This study aims to develop an effective solution method for this problem, which will minimize earliness, tardiness, lost sales, inventory holding, FGI, subcontracting, overtime, and raw material costs. We present the results of a detailed review of related literature. This study fills the gap in the literature of assembly line planning problems that covers Available-to-Promise by considering shipping decisions on critical raw materials required for production in a make-to-order environment. After determining a gap in the literature, a novel mathematical model has been developed to solve the problem on hand. While this developed mathematical model offers an acceptable calculation time for problems where the production time required to meet the total demand does not exceed the total inhouse production time, it does not offer a fast solution method for the problems where the total inhouse production time is insufficient to meet the total demand. For this reason, a heuristic algorithm has been developed that provides faster results with near-optimal solutions for this type of problem. We present the results of our experimentation with both models.

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Balanceamento de linha de montagem mista em cenários com distintos mix de produtos

Cited by 11 publications

References 14 publications

Mixed-Model Assembly Line Balancing in The Process of Assembling Trimming Area to Minimize Workstation Using RPW-MVM Method

Mixed-Model Assembly Line Balancing in The Process of Assembling Trimming Area to Minimize Workstation Using RPW-MVM Method

Balanceamento de operações e simulação a eventos discretos: redução da ociosidade dos operadores em uma linha de montagem

Applying Available-to-Promise (ATP) Concept in Multi-Model Assembly Line Planning Problems in a Make-to-Order (MTO) Environment

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