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Assembly line balancing in garment production by simulation dating, assembly Line Balancing in Garment Production by Simulation

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Distribution fit and goodness of fit To estimate the relevant distribution fit of the data gathered, histogram of each process was obtained firstly. Clothing manufacturing consists of a variety of product categories, materials and styling. After the estimation of the fit distribution, to validate the goodness of fit Chi Squared test, Kolmogorov Smirnov test and Anderson Darling test can be applied. This atom represents the waiting area for customers or products.

Each individual step in the assembly of product has to be analyzed carefully, open ended questions examples dating profile and allocated to stations in a balanced way over the available workstations. Throughout this chapter how assembly line balancing in garment production can be done by using simulation will be understood.

The first part of the book is devoted to the assembly line balancing problem. In this chapter, to analyze the structure of garment assembly, a sewing line will be focused on. In garment production, until garment components are gathered into a finished garment, they are assembled through a sub-assembly process. As a result four scenarios were developed for the production of trousers.

Results based on reference layout model Fig. Attach waistband with a higher processing time blocks the system.

Test distribution is Normal. Zipper is attached and, belt and waistband are attached and sewn as well. Then, bottlenecks in the line were determined. Moreover, in order to present more comprehensive decision alternatives, study can be enhanced by a cost analysis of the possible scenarios.

By changing variables predictions can be made on system behavior. Then, a detailed work and time study along the sewing line will be summarized considering the precedence constraints.

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This chapter deals with assembly line balancing in garment production by simulation. In the second part of the book some optimization problems in assembly line structure are considered.

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Assembly Line Balancing in Garment Production by Simulation

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Model verification was done by comparing the results of the model with the ones of the actual system. Then, according to model requirements, a sort of fabrics are cut as well as classified due to their sewing sequences. To sum up, with the suggested scenarios the efficiency of the line was increased, and the line was balanced. Then the data gathered from job floor was tested for firstly independency. As a summary, considering precedence constraints four scenarios were developed according to determined bottlenecks in the models.

Secondly, real-data gathered from factory floor was tested for distribution fit, and a Kolmogrov-Smirnov test was carried out for the goodness of fit. Each operator then carries out operations properly and the work flow is synchronized. Dealing with constantly changing styles and consumer demands is so difficult. It should be noted here that data taken from job floor should be independent. Then, a detailed work and time studies were performed along the line.

Thus, the researchers attempted to experiment numbers of replication in the arena tool. Model will be verified by comparing the actual system. Division of labor should be balanced equally by ensuring the time spent at each station approximately the same. It is appearent from the Fig. This atom corresponds to a machine or a counter.

Finally, hems, pockets, belt loop bartack seams are done and, by this way the sewing process of trousers is finished. Thus, these results can permit us to state that normal distributions for the processes mentioned above are appropriate and herewith, the distribution fit was validated. The volume is organized in three parts according to the last research works in assembly line subject.

To develop a simulation model of the sewing section of the apparel industry. Simulation model preview of sewing line Arrows in the figure show the connections as well as the relations between atoms.

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These scenarios can provide investment decision alternatives to company administrators. It is a flow-oriented production system where the productive units performing the operations, referred to as stations, are aligned in a serial manner. Afterwards, the creation of model was explained. Verification of model was done step by step comparing with actual system. Due to model statistics, possible scenarios were formed by various what-if analyses in order to balance line as well as increase its efficiency.

To conclude, this chapter has demonstrated the use of simulation technique to solve assembly line balancing problem in a garment production. To assess performance of the existing sewing line. The objective was to have a clear idea on how a trousers production-sewing process line flows and then, how the line can be balanced as well as the performance of production line can be increased. The red lines in the figures show the estimated distributions. With reference to this scenario, it can be said that the balancing of sewing line seems appropriate for all performance measures.