Comparing Between Production Scheduling Methods to Achieve Efficient Resource Utilization

Ellysa Nursanti, Sibut Sibut, Sudharsan Jayabalan, Fourry Handoko, Nindya Oktarina

Abstract


High competition among industries nowadays, requires companies to improve their production services. The speed of production service time, with excellent quality, becomes part of the company’s competitive advantage. This study aims to compare several production scheduling methods which are commonly used, so that efficient resource utilization can be obtained. Production Scheduling Methods such as Make to Order, Dannenbring, Branch and Bound, Nawaz Enscore and Ham and Campbell Dudeck Smith were compared using one case of tire retreading production. There were two jobs: tire retreading for truck and bus. Each job, assigned to ten workstations following its production steps. The results were obtained that Dannenbring and Campbell Dudeck Smith gave the same best results with the smallest makespan value, equivalent to 48% efficiency.

Keywords


Branch and Bound; Campbell Dudeck Smith; Dannenbring; Nawaz Enscore and Ham; Production

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References


H. Tannady, “Modifikasi mekanisme penentuan penjadwalan job pada metode dannenbring,” no. 2, pp. 1–9, 2013. [in Bahasa]

N. I. Lesmana, “Penjadwalan Produksi Untuk Meminimalkan Waktu Produksi Dengan Menggunakan Metode Branch And Bound,” vol. 17, no. 1, pp. 42–50, 2016. [in Bahasa]

G. Mohammadi, “Multi-objective flow shop production scheduling via robust genetic algorithms optimization technique,” vol. 2, no. 1, pp. 1–8, 2015.

C. E. Nugraheni and L. Abednego, “On the Development of Hyper Heuristics Based Framework for Scheduling Problems in Textile Industry,” vol. 6, no. 5, pp. 272–276, 2016.

S. Talapatra, “Application of Branch and Bound algorithm for solving flow shop scheduling problem comparing it with Tabu search algorithm,” no. December 2014, 2018.

M. G. Wolde, E. Berhan, and K. Jilcha, “Production improvement with flow shop scheduling heuristics in Household utensils manufacturing company,” Cogent Eng., vol. 13, pp. 1–11, 2018.

M. I. Takano and M. S. Nagano, “A branch-and-bound method to minimize the makespan in a permutation flow shop with blocking and setup times makespan in a permutation flow shop with blocking,” Cogent Eng., vol. 52, no. 1, pp. 1–16, 2017.

W. Liu, Y. Jin, and M. Price, “International Journal of Production Economics A new improved NEH heuristic for permutation fl owshop scheduling problems,” Int. J. Prod. Econ., vol. 193, no. June 2016, pp. 21–30, 2017.

L. Gozali, V. Kurniawan, S. Ramadhani, “Design of Job Scheduling System and Software for Packaging Process Desi g n of Job Scheduling System and Software for Packaging Process with SPT , EDD , LPT , CDS and NEH algorithm at PT .,” I. O. P. C. Series and

M. Science, pp. 1-8, 2019. Z. Yang, Z. Ma, and S. Wu, “Automation in Construction Optimized fl owshop scheduling of multiple production lines for precast production,” Autom. Constr., vol. 72, pp. 321–329, 2016.

Y. Muharni, “Production scheduling of bar mill using the combination of particle swarm optimization and Nawaz enscore ham for minimizing makespan in steel company Production Scheduling of Bar Mill Using The Combination of Particle Swarm Optimization and Nawaz Enscore Ham for Minimizing Makespan in Steel Company,” vol. 030006, 2019.

W. T. W. K. Method, C. Dudek, and S. Cds, “Production Scheduling to Minimize Makespan using Sequencing Total Production Scheduling to Minimize Makespan using Sequencing Total Work ( TWK ) Method and Campbell Dudek Smith (CDS) Algorithm,”2019.

U. Rahmani, E. R. Wulan, and A. F. Huda, “Scheduling of Flowshop Type Production with Dannenbring Method to Obtain Optimal Results with Observing Waiting Time and Weight of Jobs,” vol. 127, no. April, pp. 212–224, 2019.

F. Handoko, E. Nursanti, D. Harmanto, “The Role of Tacit and Codified Knowledge Within Technology Transfer Program on Technology Adaptation”, ARPN Journal of Engineering and Applied Sciences 11 (8), pp. 5275-5282, 2016.

H. Widyantoro, F. Handoko, E. Nursanti, “Pengendalian Biaya Manufaktur Berbasis Environment Oriented Cost Management (EOCM)”, Prosiding SENIATI, pp. C.55-C.59. 2016. [in Bahasa]

C. Kusbiantoro, E. Nursanti, “Penerapan Lean Manufacturing untuk Mengidentifikasi dan Menurunkan Waste (Studi Kasus CV Tanara Textile)”, Jurnal Teknologi dan Manajemen Industri 5, pp. 1-7, 2019. [in Bahasa]

E. Nursanti, S. Avief, Sibut, M. Kertaningtyas, “Maintenance Capacity Planning, Efisiensi dan Produktivitas”, CV. Dream Litera Buana, 2019. [in Bahasa]

E. Nursanti, R.I. Purnama, IB. Suardika, “Optimasi Kapasitas Produksi untuk Mendapatkan Keuntungan Maksimum dengan Linear Programming”, Media Ilimiah Teknik Industri 14, pp. 61-68, 2015. [in Bahasa]

F. Handoko, E. Nursanti, S. Sutriyono, “Aplikasi Pendekatan Perbaikan Terus Menerus guna Mencapai Green Industrial System yang berkelanjutan”, Prosiding SENATEK 1 (A), pp. 866-870, 2015. [in Bahasa]

F. Handoko, E. Nursanti, G. Gatot., L. Mulyadi, J. Hutabarat, K. Kustamar, “Green Industrial System in Indonesia”, Journal of Telecommunication, Electronic and Computer Engineering, pp. 1-7, 2018.




DOI: http://dx.doi.org/10.12962/j23546026.y2020i1.11362

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