Mixed-model assembly lines balancing with given buffers and product sequence: model, formulation comparisons, and case study

Lopes, Thiago Cantos; Sikora, Celso Gustavo Stall; Michels, Adalberto Sato; Magatão, Leandro

doi:10.1007/s10479-017-2711-0

Cited by 17 publications

(3 citation statements)

References 37 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…For the synchronized operation of the production line, in order to prevent downtime of equipment, the m technological operation has a buffer b m for storing parts awaiting processing. The buffer size is determined by the permissible deviation between the actual and standard performance during the production process [21]. This structure is typical for many industries, including the automotive industry.…”

Section: Formalized Description Of a Production Linementioning

confidence: 99%

“…Due to the arbitrariness of the choice, we define T0 T 0 =V 0 /[χ] 1ψ0 , S 0 =S d , which allows us to interpret the value of T 0 as the time during which the average interoperational backlog V 0 will be processed with the average rate [χ] 1ψ0 . Solution (4), corresponding to the system dynamics model with initial conditions (19), (20) taking into account dimensionless parameters (21), can be written as follows: The transition from the dimensionless density of the distribution of interoperative backlogs θ 0 (τ,ξ) to the distribution of backlogs by buffers n m (τ) is carried out in accordance with (27) Solution (28) coincides with solution (24). Within the specified time, the modeling of changes in the state of interoperational backlogs for a production line with a different number of operations М={500,100,20,10,5} is shown in Fig.…”

Section: Solving the Problem Of Serial Line Functioningmentioning

confidence: 99%

See 1 more Smart Citation

Using PDE model and system dynamics model for describing multi-operation production lines

Pihnastyi

Yemelianova

Lysytsia

2020

EEJET

View full text Add to dashboard Cite

Two classes of models for describing production flow lines are analyzed. The use of models of these classes for the design of highly efficient control systems of production lines, the technological route of which consists of a large number of technological operations, is analyzed. The division of the technological route into a large number of operations is caused by the development trend of modern production lines. Synchronization of production line equipment performance is provided by an accumulating buffer. A formalized description of the production line was used as a foundation for constructing equations for each models class. The common features of using each models class in the description of production systems, as well as the conditions for their application are shown. The form of the system dynamics model and PDE model equations is substantiated. The assumption about a deterministic rate of processing parts and the absence of a time delay and feedback between the parameters of technological operations was made when deriving the equations. The use of generalized technological operations in the system dynamics model as a way to reduce the number of model equations is discussed. Two limiting transitions from the PDE model equations to the system dynamics equations are demonstrated. It is shown that the system dynamics equations are a special case of the PDE model equations, the result of aggregation of production line parameters within the technological operation. The method for constructing level equations for the system dynamics model is substantiated. For production lines with a different number of operations, the solution to the problem of processing parts along a production line is presented. The comparative analysis of the solutions obtained using the system dynamics and PDE model equations is obtained

show abstract

Section: Formalized Description Of a Production Linementioning

confidence: 99%

Section: Solving the Problem Of Serial Line Functioningmentioning

confidence: 99%

Using PDE model and system dynamics model for describing multi-operation production lines

Pihnastyi

Yemelianova

Lysytsia

2020

EEJET

View full text Add to dashboard Cite

show abstract

“…In asynchronous assembly lines, downstream starvations and upstream blockages can occur. Buffers or WIP are often employed to minimize these problems, which are particularly relevant when the line is shared between a set of different products models [23]. Increased inventories at buffers along assembly line could increase workers' utilization, but excessive balancing and scheduling should be performed.…”

mentioning

confidence: 99%

Utilization of Industry 4.0 Related Equipment in Assembly Line Balancing Procedure

et al. 2020

View full text Add to dashboard Cite

In recent decades, production in high-volume/low-variety batches is replaced with low-volume/high-variety production type. This type of production demands excessive flows of both material and information. Recent advances in information and communication technologies (ICT), together with the concept of cyber-psychical system (CPS) enable the concept of Industry 4.0 (I4.0). In this paper, the performance of I4.0 related equipment implementation is presented in iterative assembly line balancing (ALB) process of a gearbox assembly line. Largest candidate rule method through spreadsheet simulation was used for tasks reallocations, with the objective to minimize the cycle time when the number of stations is fixed. Utilization of human analysts using snap back method for manual data gathering process still shown advantage over I4.0 equipment utilization in manual ALB. The assembly process is performed in the learning factory environment, and it is considered as very close to real industry process. The major conclusion is that I4.0 is excellent in process data monitoring and product tracking, but activities to be performed to effectively exploit I4.0 is demanding for task reallocations during the balancing procedure. Nevertheless, future enhancements of I4.0 system are listed to bridge this gap and to increase I4.0 system usefulness in the manual assembly line balancing process.

show abstract

Multi-manned Assembly Line Balancing Problem in a Diesel Engine Manufacturing Company: A Real-World Case Study

Batista

Magatão

2023

Lecture Notes in Production Engineering

View full text Add to dashboard Cite

Mixed-model assembly lines balancing with given buffers and product sequence: model, formulation comparisons, and case study

Cited by 17 publications

References 37 publications

Using PDE model and system dynamics model for describing multi-operation production lines

Using PDE model and system dynamics model for describing multi-operation production lines

Utilization of Industry 4.0 Related Equipment in Assembly Line Balancing Procedure

Multi-manned Assembly Line Balancing Problem in a Diesel Engine Manufacturing Company: A Real-World Case Study

Contact Info

Product

Resources

About