Profit Optimization Based on Total Production in Textile Home Industry Using Evolution Strategies Algorithms

Authors

  • Mabafasa Al Khuluqi Universitas Brawijaya
  • Wayan Firdaus Mahmudy Universitas Brawijaya
  • Asyrofa Rahmi Universitas Brawijaya

DOI:

https://doi.org/10.21776/ub.ijleg.2016.002.02.2

Abstract

 

Profit optimization became one of the main goals of the production process of home industry. A maximum profit can be achieved with proper planning of production. In the process of implementation, production planning has many constraints such as lot sizing, limited stock, overtime work and the many products derived from the same source. To address the problem, we develop computer software using a heuristic method called evolution strategy (ES). ES has capability to solve optimization problems with nearly optimal results. The result of the calculation process of evolution strategy algorithm was compared with data from the source. Computational analysis shows that ES produces a production plan that has profit of Rp 5,324,000. It is bigger than manual production plan that has profit of Rp 2,747,000.

 

Keywords: home industry, profit, optimization, production, evolution strategies

 

Author Biographies

Wayan Firdaus Mahmudy, Universitas Brawijaya

Faculty of Computer Science

Asyrofa Rahmi, Universitas Brawijaya

Faculty of Computer Science

References

ALTAY, A., TOY, A. O. & EKINCI, Y. 2016. Fuzzy Heuristic Solution Approaches for The Warm/Cold Lot Sizing Problem. Applied Soft Computing, 48, 691-702.

ANDERSEN, S. B. & SANTOS, I. F. 2012. Evolution Strategies and Multi-Objective Optimization of Permanent Magnet Motor. Applied Soft Computing, 12, 778-792.

BPS. 2015. Keadaan Ketenagakerjaan Agustus 2015 : Tingkat Pengangguran Terbuka Sebesar 6.18 Persen (Employment Circumstances in August 2015 : Open Unemployment Rate 6.18 Percent) [Online]. https://www.bps.go.id/website/brs_ind/brsInd-20151105121046.pdf: Badan Pusat Statistika. [Accessed 1 February 2016].

CARVALHO, D. M. & NASCIMENTO, M. C. V. 2016. Lagrangian Heuristics for The Capacitated Multi-Plant Lot Sizing Problem with Multiple Periods and Items. Computers & Operations Research.

DATTA, R. & REGIS, R. G. 2016. A Surrogate-assisted Evolution Strategy for Constrained Multi-Objective Optimization. Expert Systems with Applications, 57, 270-284.

GICQUEL, C. & MINOUX, M. 2015. Multi-Product Valid Inequalities for The Discrete Lot-Sizing and Scheduling Problem. Compuetrs & Operation Research, 54, 12-20.

HORNG, S.-C., LIN, S.-S. & YANG, F.-Y. 2012. Evolutionary Algorithm for Stochastic Job Shop Scheduling with Random Processing Time. Expert Systems with Applications, 39, 3603-3610.

LEE, W. C., CHOI, J. P. & HUYNH, C. K. 2015. A Modified Tone Injection Scheme for PAPR Reduction using Genetic Algorithm. ICT Express, 1.

MAHMUDY, W. F. 2014. Optimisation of Integrated Multi-Period Production Planning and Scheduling Problems in Flexible Manufacturing Systems (FMS) Using Hybrid Genetic Algorithms Ph.D. Thesis, University of South Australia.

MAHMUDY, W. F. 2015. Dasar-Dasar Algoritma Evolusi, Malang, Program Teknologi Informasi dan Ilmu Komputer, Universitas Brawijaya.

MAHMUDY, W. F., MARIAN, R. M. & LUONG, L. H. S. 2013. Modeling and optimization of part type selection and loading problems in flexible manufacturing system using real coded genetic algorithms. International Journal of Electrical, Computer, Electronics and Communication Engineering, 7, 251-260.

MILAH, H. & MAHMUDY, W. F. 2015. Implementasi Algoritma Evolution Strategies untuk Optimasi Komposisi Pakan Ternak Sapi Potong (Implementation of Evolution Strategies Algorithm for Optimization The composition of Beef Cattle Feed). DORO : Repository Journal Mahasiswa PTIIK Universitas Brawijaya, 5.

MUNAWAROH, F. & MAHMUDY, W. F. 2015. Optimasi Distribusi Pupuk Menggunakan Evolution Strategies (Fertilizer Distribution Optimization Using Evolution Strategies). Journal of Environmental Engineering & Sustainable Technology, 2, 89-96.

ROSHANI, A., GIGLIO, D. & PAOLUCCI, M. 2016. A Simulated Annealing Approach for The Capacitated Dynamic Lot Sizing Problem in A Closed Remanufacturing System. International Federation of Automatic Control. Elsevier Ltd.

TEMPELMEIER, H. & HILGER, T. 2015. Linear Programming Models for a Stochastic Dynamic Capacitated Lot Sizing Problem. Computers & Operations Research.

TSANG, P. W. M. & SITU, W. C. 2011. Affine Invariant Matching of Broken Boundaries in Noisy Images Based on The Quality Migrant Injection Genetic Algorithm and A Successive Erosion and Accumulation Scheme. Applied Soft Computing, 11, 5611-5620.

VISTA, C. B. & MAHMUDY, W. F. 2015. Penerapan Algoritma Evolution Strategies untuk Optimasi Distribusi Barang Dua Tahap (The Implementation of Evolution Strategies Algorithm for Optimization The Distribution Two-Stage of Goods). DORO : Repository Journal Mahasiswa PTIIK Universitas Brawijaya, 5.

YOOSEFELAHI, A., AMINNAYERI, M., MOSADEGH, H. & ARDAKANI, H. D. 2012. Type II Robotic Assembly Line Balancing Problem : An Evolution Startegies Algorithm for A Multi-Objective Model. Journal of Manufacturing Systems, 31, 139-151.

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Published

2016-10-01

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