Using a simulation to generate the data to balance an assembly line

Grabau, Mark; Maurer, Ruth; Ott, Dennis

doi:10.1145/268437.268616

Cited by 9 publications

(5 citation statements)

References 3 publications

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“…Discrete Event Simulation (DES) has been the most prevalent technology used for system design and further improvements mainly because of the flexibility of its use for modeling complex systems and dynamic operations (Grabau et al 1997, Massay and Udoka 1995, Parks et al 1997. Simulation enables engineers to understand the complexity of the system being developed and at the same time to examine how the strategic decisions would influence the overall performance of this system (Baldwin et al 2000).…”

Section: Simulation -System Designmentioning

confidence: 99%

POD: The structure of simulation software and model reuse

Marmor

Sinreich

2007

2007 Winter Simulation Conference

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In recent years, Discrete Event Simulation (DES) has emerged as the key technology for the design and analysis of systems, both in manufacturing and services. We have developed a DES-methodology (POD) and a tool that enable the automatic creation of a POD script from a working simulation model and backwards. POD stands for Processes, Operations and Data, to emphasize three key dimensions that differentiate DES systems from each other. It facilitates the generalization of models and the reuse of existing models for additional purposes with only minor changes, namely adjusting (copying, pasting, or deleting) the details of the POD script. Using different system components through copying and pasting of several generic components, then running and checking the system, deciding if to reject or retry the process, etc., enhances the learning process of the system and integrates naturally with its modeling.

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Section: Simulation -System Designmentioning

confidence: 99%

POD: The structure of simulation software and model reuse

Marmor

Sinreich

2007

2007 Winter Simulation Conference

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“…Assembly line balancing using Best Bud search by Nevins(1972) and using simulation to generate the data to balance an assembly line by Grabau et al (1997) are the two interesting usage of simulation approach available for solving the line balancing problem. Hoffman (1963), Mansoor and Yadin (1971) and Geoffrion (1976) used mathematical programming to give a clear insight into this complex but important problem.…”

Section: Introductionmentioning

confidence: 99%

Optimum assembly line balancing by minimizing balancing loss and a range based measure for system loss

Roy¹,

Khan²

2011

msl

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An assembly line is a sequence of workstations, connected together by a material handling system, which is used to assemble components into a final product. The economic importance of assembly as a manufacturing process has led to extensive efforts for designing an assembly line to ensure efficiency and cost effectiveness of assembly operations. These efficiency and effectiveness can be maximized by minimizing balancing loss and system loss. The current work offers a range based measure for System loss and describes a technique for jointly minimizing balancing loss and system loss. To arrive at the optimum solution of the joint minimization problem, the same has been reduced to sequential marginal minimization problems and simulation technique has been installed for obtaining the optimal solution. For demonstration purpose, one example has been worked out to indicate the strength of the suggested method.

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“…Charlton and Death(1969) suggested a general method for machine scheduling. Nevins (1972) used best bud search and Grabau et al (1997) used simulation method to generate the data to balance an assembly line.…”

Section: Introductionmentioning

confidence: 99%

A new type of problem to stabilize an assembly setup

Roy¹,

Khan²

2011

msl

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Traditional assembly lines are still attractive means of mass and large-scale series production. Previous research works mainly dealt with the minimization of balancing loss, subject to precedence constraints. Very recently the focus of attention shifted towards system loss. However, these losses are not the proper indicators of the stability of the system since the efficiency of the assembly line increases normally when the stability of the system increases. In this paper, we introduce a new type of assembly line, which is totally different form the existing types of assembly line studied in the literature. In this work, we define the stability of the system in terms of reliability of the assembly line. The objective is to design an assembly line with a desired level of working stability measured through this reliability measure. This special type of assembly line, where production rate can be increased by minimizing the cycle time subject to a given level of reliability and precedence constraints, extends the decision-making framework available in the literature on assembly line balancing problem and indirectly takes care of both balancing loss and system loss.

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Using a simulation to generate the data to balance an assembly line

Cited by 9 publications

References 3 publications

POD: The structure of simulation software and model reuse

POD: The structure of simulation software and model reuse

Optimum assembly line balancing by minimizing balancing loss and a range based measure for system loss

A new type of problem to stabilize an assembly setup

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