Improving the Food Manufacturing System by Using Simulation and DEA

The production capacity and employment in the meat processing industry in Turkey has increased in parallel with the demand of the growing population. The meat processing industry turns animal raw materials into ready-to-eat products with a long shelf life such as sausages, garlic-flavored fermented sausages, salami, bacon, roasted meat, and ham. It is clear that the meat processing industry is entirely dependent on animal husbandry. However, due to animal production rate exceeds the rate of meat consumption in Turkey, both government agencies and organizations, as well as meat processing companies, are forced to manage the demand for meat and to improve their production lines. In this study, in order to meet the increasing demand of customers in a meat processing company operating in Istanbul, 4 different scenarios were developed with the idea of how to create more final products in the same working time. The scenarios were examined using the simulation model and the utilization rates of machines have been evaluated. In addition, the effects of the scenarios on the final product amount were discussed. Thus, the findings of the study assisted the decision-makers in the company for the selection of the right approach.

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“…The study of Kamarudin et al (2019) consists of two parts. In the first part, they examined the CHOKEE product production line with simulation.…”

Section: Literature Reviewmentioning

confidence: 99%

Evaluating the Performance of the Production Line with Simulation Approach in Meat Processing Industry: A Case from Turkey

Kiriş

Bozbuğa²

2020

Alphanumeric Journal

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“…In [20], taking into account non-operational factors, the DEA was proposed to measure the technical efficiency, scale efficiency and pure technical efficiency of innovation in Semiconductor industry of China. [21] analyzed the effect of reducing energy savings on the efficiency of innovation and performed the DEA and Tobit regression analysis. This was in agreement with [22], who developed for the Chinese Government a model on the allocation of carbon emission reduction quotas through DEA.…”

Section: Data Envelopment Analysismentioning

confidence: 99%

Statistical Analysis and Data Envelopment Analysis to Improve the Efficiency of Manufacturing Process of Electrical Conductors

Zamora-Antuñano

Cruz-Salinas²,

Rodríguez‐Reséndiz

et al. 2019

Applied Sciences

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The main focus of this research was to develop an approach using statistical tools and Data envelopment analysis (DEA) to tackling productivity measurements and benchmarking problems in electrical conductor manufacturing environment. In the present work, a tooling efficiency study was carried out with a nozzle used for the manufacture of 23-AWG wires. The efficiency of five types of tooling, four non-Mexican-manufactured types and one Mexican-manufactured type, were compared. Analysis of Variance (ANOVA) and the Tukey test were applied. Six factors were considered that influence of the performance of the tooling during the manufacturing process: productivity, quality, time, machine, operator, and color of the insulating material, but the research work focuses on the efficiency of the tooling die-nozzle. The results demonstrated that two die-nozzle models exhibited the best performance; one of them was the Mexican model, surpassed by a non-Mexican model, the capability process index Cpk = 1.26 manifested a better performance for the 3DND die-nozzle according to the statistical analysis and the tests performed. Subsequently, through a super-efficiency DEA model of inputs-oriented with non-decreasing returns to scale (NDRS). The results obtained in the statistical analysis were corroborated using this technique, its application combined with statistical tools represents an innovation for knowledge in manufacturing processes of electrical conductors. Input data were obtained at a manufacturer of electrical conductors supplier of the automotive sector in the Querétaro City of Mexico.

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Improving the Food Manufacturing System by Using Simulation and DEA

Cited by 2 publications

References 4 publications

Evaluating the Performance of the Production Line with Simulation Approach in Meat Processing Industry: A Case from Turkey

Evaluating the Performance of the Production Line with Simulation Approach in Meat Processing Industry: A Case from Turkey

Statistical Analysis and Data Envelopment Analysis to Improve the Efficiency of Manufacturing Process of Electrical Conductors

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