Mathematical optimization and engineering applications

Kulcsár, T.; Timár, Imre

doi:10.23939/mmc2016.01.059

Cited by 4 publications

(3 citation statements)

References 15 publications

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“…Oleh karena itu diperlukan programming yang bertujuan untuk meminimumkan total biaya (total cost) atau memaksimalkan laba. Penelitian (Kulcsár, 2012) Dari data penjualan yang ada, dapat dilihat bahwa setiap tahunnya penjualan super red jauh diatas penjualan ikan kumpai. hal ini dikarenakan selisih harga yang cukup jauh sehingga pangsa pasar nya sedikit berbeda.…”

Section: Hasil Dan Pembahasanunclassified

Pengoptimalan Pertambakan Ikan Arwana pada PT Arwana Lestari, Putussibau

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Roxanne

et al. 2022

JEK

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PT Arwana Lestari di Putussibau merupakan perusahaan yang bergerak di bidang pertambakan ikan hias dengan unggulan Arwana Super Red dan Arwana Kumpai. Diketahui Penjualan 5 tahun terakhir cukup stabil walaupun pada tahun 2020 mengalami penurunan karena tidak dapat mengekspor keluar negeri. Tujuan dari penelitian ini untuk mengetahui seberapa besar pengoptimalan yang dapat dilakukan agar nantinya laba yang dihasilkan dapat mencapai nilai maksimum. Terdapat dua tahap yaitu pembibitan dan pembesaran. Analisa dilakukan untuk mengoptimalkan kolam yang digunakan agar memaksimalkan pendapatan. Metode yang paling cocok digunakan untuk analisis yaitu linear programming, dan menggunakan software POM QM Versi 5, dan diperoleh solusi bahwa pengoptimalan terbaik yaitu melakukan produksi 1,4 pada constraint X2 (ikan kumpai), agar diperoleh keuntungan hingga Rp910.000.000

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Section: Hasil Dan Pembahasanunclassified

Pengoptimalan Pertambakan Ikan Arwana pada PT Arwana Lestari, Putussibau

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Halim

Roxanne

et al. 2022

JEK

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“…The product optimization can be further specified: topology optimization, form optimization, dimension optimization and material optimization, T. Kulcsár, I. Timár [1].…”

Section: Introductionmentioning

confidence: 99%

Multiobjective optimization of planar truss girder

Timár

Horváth

Grebenişan³

2017

MATEC Web Conf.

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The continuous increasing trends in the case of the raw material-, energy-, production-, and operation costs have been made necessary, the development of the numerical methods made it possible to spread widely the optimal design methods in the technical practice.The method of optimal design with multiobjective functions is useful when the designer has to rank the different construction variations. We apply this method to optimal design of truss girder when the aim functions are the mass of girder and the deflection of the structure. We change the cross-section of beam of girder as unknown parameter. The restrictions are concerning the design resistance of tensile bars and the stability of compressed bars.

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“…These variables must be relevant considering the description of the most important characteristics of the problem being constructed [15].…”

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confidence: 99%

Sustainable Optimization of Manufacturing Process Effectiveness in Furniture Production

2017

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Sustainable manufacturing is connected with the effectiveness of production processes. There are several solutions to improve manufacturing sustainability. This paper deals with the possibilities of the utilization of mathematical methods to solve optimization problems in the production process of furniture. The aim of the paper is to create a mathematical model of the key processes in order to maximize productivity and cost reduction by identifying key processes and parameters influencing manufacturing effectiveness. After identification of the parameters describing the key process (milling), an abstract model of the manufacturing process was created. Identified input parameters were the cutting velocity, feed rate, and a total volume of removed material. The output parameters were surface roughness, process duration, and process cost. The experimentally measured and calculated values of the output parameters were analyzed by a multiple regression tool. The method of an artificial neural network was used as a numeric method for optimization. The results showed that the maximal effectiveness of the sub-process can be achieved if the CNC machine is set at the cutting velocity of 4398.23 m·min −1 and feed rate of 11.00 m·min −1 . Maximal values of the created neural network showed optimal values of input and output parameters.

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Mathematical optimization and engineering applications

Cited by 4 publications

References 15 publications

Pengoptimalan Pertambakan Ikan Arwana pada PT Arwana Lestari, Putussibau

Pengoptimalan Pertambakan Ikan Arwana pada PT Arwana Lestari, Putussibau

Multiobjective optimization of planar truss girder

Sustainable Optimization of Manufacturing Process Effectiveness in Furniture Production

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