Decision Support System for Manufacturing Division Priority using AHP Method
DOI:
https://doi.org/10.30865/mib.v8i1.7079Keywords:
Analytical Hierarchy Process, Decision Support System, Division Prioritization, Manufacturing Production, Production Information SystemAbstract
In the competitive manufacturing landscape, especially in stamping and automobile parts production, optimizing production processes is a paramount challenge. This study addresses a manufacturing company's vulnerability to production reporting manipulation and inefficiencies in manual report generation. To tackle these challenges, we propose a vital system to combat the complexities and inaccuracies in existing reporting methods that significantly impede decision-making and operational efficiency. We introduce a novel, integrated system combining a production information system with an Analytical Hierarchy Process (AHP)-based decision support system. This hybrid solution aims to streamline report generation and boost decision-making within production divisions. The approach involves deploying a web-based system to simplify report creation and ensure accuracy and timeliness. The decision support system utilizes AHP to facilitate division prioritization, addressing critical issues promptly with data-driven insights. AHP's practicality and reliability assist in evaluating criteria for effective division prioritization. The implementation of this system marked significant improvements in production data management, evident from a substantial 68.17% user satisfaction rating. These results demonstrate the system's efficacy in enhancing decision-making, refining production processes, and boosting overall productivity. Furthermore, the system provides valuable insights into operator performance, fostering management recognition and appreciation, thus promoting transparency and accountability. The integration of an information system with AHP-based decision support emerges as a potent solution for manufacturing companies confronting similar challenges.
References
L. Parinduri et al., Manajemen Operasional: Teori dan Strategi, 1st ed. Kita Menulis, 2020.
E. Oztemel and S. Gursev, “Literature review of Industry 4.0 and related technologies,” J. Intell. Manuf., vol. 31, no. 1, pp. 127–182, 2020, doi: 10.1007/s10845-018-1433-8.
A. B. Fawait, A. Yudhana, and R. Umar, “Pengambilan Keputusan Penentuan Sentra Industri Kecil dan Menengah Unggulan Menggunakan Metode Analytical Hierarchy Process (AHP),” J. Media Inform. Budidarma, vol. 6, no. 2, p. 1110, 2022, doi: 10.30865/mib.v6i2.3943.
E. Mastrocinque, F. J. Ramírez, A. Honrubia-Escribano, and D. T. Pham, “An AHP-based multi-criteria model for sustainable supply chain development in the renewable energy sector,” Expert Syst. Appl., vol. 150, p. 113321, 2020, doi: 10.1016/j.eswa.2020.113321.
N. Arianto and N. Nurahman, “Sistem Pendukung Keputusan Penilaian Kinerja Mekanik Menggunakan Metode AHP dan TOPSIS,” J. Media Inform. Budidarma, vol. 5, no. 4, p. 1326, 2021, doi: 10.30865/mib.v5i4.3235.
S. Wibawa (BINUS University), A. Ekawati (BINUS University), B. Maryadi (BINUS University), N. Fitriyani (BINUS University), and A. Redi (BINUS University), “Komparasi Fuzzy Ahp, Topsis Dan Smart Untuk Pemilihan Supplier,” J. Manaj. Ind. dan Logistik, vol. 5, no. 2, pp. 121–129, 2021, doi: 10.30988/jmil.v5i2.832.
A. E. Munthafa, H. Mubarok, J. Teknik, and I. Universitas, “Application of the Analytical Hierarchy Process Method in the Decision Support System for Determining Outstanding Students,” J. Siliwangi, vol. 3, no. 2, pp. 192–201, 2017.
H. A. Septilia, P. Parjito, and S. Styawati, “Sistem Pendukung Keputusan Pemberian Dana Bantuan Menggunakan Metode Ahp,” J. Teknol. dan Sist. Inf., vol. 1, no. 2, pp. 34–41, 2020, doi: 10.33365/jtsi.v1i2.369.
A. dan M. M. Hafiz, “Sistem Pendukung Keputusan Pemilihan Karyawan Terbaik dengan Pendekatan Weighted Product (Studi Kasus:PT. Telkom Cab. Lampung) Aliy,” Cendikia Vol., vol. 15, no. April, pp. 23–28, 2018.
M. Muqorobin, A. Apriliyani, and K. Kusrini, “Sistem Pendukung Keputusan Penerimaan Beasiswa dengan Metode SAW,” Respati, vol. 14, no. 1, pp. 76–85, 2019, doi: 10.35842/jtir.v14i1.274.
O. Nurdiawan, “Penerapan Sistem Pendukung Keputusan Dengan Metode Profile Matching Dalam Penilaian Kinerja Karyawan,” J. Digit, vol. 8, no. 2, pp. 136–148, 2018.
S. M. Cheema, S. Tariq, and I. M. Pires, “A natural language interface for automatic generation of data flow diagram using web extraction techniques,” J. King Saud Univ. - Comput. Inf. Sci., vol. 35, no. 2, pp. 626–640, 2023, doi: 10.1016/j.jksuci.2023.01.006.
H. Y. Chong and A. Diamantopoulos, “Integrating advanced technologies to uphold security of payment: Data flow diagram,” Autom. Constr., vol. 114, no. November 2019, p. 103158, 2020, doi: 10.1016/j.autcon.2020.103158.
E. W. Fridayanthie, H. Haryanto, and T. Tsabitah, “Penerapan Metode Prototype Pada Perancangan Sistem Informasi Penggajian Karyawan (Persis Gawan) Berbasis Web,” Paradig. - J. Komput. dan Inform., vol. 23, no. 2, pp. 151–157, 2021, doi: 10.31294/p.v23i2.10998.
F. Zulfitriansyah and R. Sutomo, “Recommendations for Selecting Houses in the Bintaro Area Using the AHP Method for Property Sales Companies,” vol. 1, no. 2, pp. 66–79, 2023, doi: 10.61098/jarcis.v1i2.57.
J. Chai, J. N. K. Liu, and E. W. T. Ngai, “Application of decision-making techniques in supplier selection: A systematic review of literature,” Expert Syst. Appl., vol. 40, no. 10, pp. 3872–3885, 2013, doi: 10.1016/j.eswa.2012.12.040.
J. E. Leal, “AHP-express: A simplified version of the analytical hierarchy process method,” MethodsX, vol. 7, 2020, doi: 10.1016/j.mex.2019.11.021.
I. Konstantinos, T. Georgios, and A. Garyfalos, “A Decision Support System methodology for selecting wind farm installation locations using AHP and TOPSIS: Case study in Eastern Macedonia and Thrace region, Greece,” Energy Policy, vol. 132, no. January 2019, pp. 232–246, 2019, doi: 10.1016/j.enpol.2019.05.020.
A. Boros and C. Fogarassy, “Relationship between corporate sustainability and compliance with state-owned enterprises in Central-Europe: A case study from Hungary,” Sustain., vol. 11, no. 20, pp. 1–23, 2019, doi: 10.3390/su11205653.
J. Hodicky, G. Özkan, H. Özdemir, P. Stodola, J. Drozd, and W. Buck, “Analytic hierarchy process (AHP)-based aggregation mechanism for resilience measurement: NATO aggregated resilience decision support model,” Entropy, vol. 22, no. 9, 2020, doi: 10.3390/E22091037.
M. I. Tariq et al., “Prioritization of information security controls through fuzzy AHP for cloud computing networks and wireless sensor networks,” Sensors (Switzerland), vol. 20, no. 5, pp. 1–36, 2020, doi: 10.3390/s20051310.
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