Practical Application of Six Sigma with a Focus on Transmitted Variation – A Door Check Arm Opening Effort Case Study

Author(s):  
Mauro C. Andreassa ◽  
Inacio M. Imai ◽  
Angelo de Oliveira ◽  
Eduardo Miyashita ◽  
Roberto Bertuolo
Author(s):  
Nilson Rodrigues Barreiros ◽  
Hercilio Everton Nogueira Da Silva

This study aimed to describe the DMAIC model of the Six Sigma methodological procedure and demonstrate the practical application and results obtained in the process of palletizing loads in a Beverage Industry of the Industrial Pole of Manaus. This case study was carried out using a bibliographic survey of the concepts, methods, and procedures of the quality tools, Six Sigma. As a procedure for collecting information, secondary data were used. A Six Sigma application model based on the DMAIC methodology in the palletizing process was presented. The results obtained and the contributions to the improvement of the quality and efficiency of the processes were analyzed. It is concluded that through the application of the methodological procedure of the DMAIC model it was possible to determine and quantify the main defects and wastes, analyze the causes and establish improvement actions in the palletizing process in the Company, resulting in a 40% reduction in handling of the supply operators in the company's shipping area, the elimination of the lack of pallets in the shipping process, the elimination of solid waste disposal in the environment and the reduction of expenses with pallets by 56% in the Company in question.


Author(s):  
JATRIANA B2041142013

Penelitian ini bertujuan untuk mengukur kinerja keuangan kampus IAIN Pontianak menggunakan pendekatan Balance Scorecard. Metode penelitian ini adalah kuantitatif dengan menggunakan statistika untuk menganalisis sampel yang digunakan sebanyak 664 orang mahasiswa dan 193 orang dosen dan pegawai. Hasil penelitian menyatakan bahwa variabel perspektif pelanggan, perpektif bisnis internal dan variabel perspektif pertumbuhan dan pembelajaran, masing-masing berpengaruh positif dan signifikan terhadap peningkatan kinerja keuangan IAIN Pontianak.Kata Kunci : Balance Scorecard, IAIN Pontianak, Kinerja KeuanganDAFTAR PUSTAKA Andriyanto, R. W., & Metalia, M. (2010). Efektivitas Balanced Scorecard Dalam Maningkatkan Kinerja Manajerial Badan Usaha Milik Negara (Bumn). Jurnal Akuntansi dan Investasi, 11(2), 97-114.Arikunto, S. 1992. Prosedur penelitian: Suatu pendekatan praktik. Rineka Cipta.Bastian, Indra. 2006. Akutansi Sektor Publik, Suatu Pengantar. Jakarta: Airlangga.Brown, Cindy. 2012. Application of the Balanced Scorecard in Higher Education: Opportunities and Challenges - An Evaluation of Balanced Scorecard Implementation at the College of St. Scolastica. SCUP; Society for College and University Planning. www.scup.org/phe.html.Effendi, R. (2012). Pengukuran Kinerja Sektor Publik Dengan Menggunakan Balanced Scorecard (Studi Kasus Kanwil DJP Sumsel dan Kep. Babel). Jurnal Ilmiah Stie Mdp, 1(2), 67-73.Gaspersz, Vicent. 2002. Sistem Manajemen Kinerja Terintegrasi: Balanced Scorecard dengan Six Sigma untuk Organisasi Bisnis dan Pemerintah. Cet ke-3, Jakarta: Gramedia Pustaka UtamaHandayani, S. (2017). Analisis Balanced Scorecard Sebagai Tolok Ukur Kinerja Perusahaan Pada Pt Pos Indonesia ( Persero ) Lamongan. Jurnal Penelitian Ekonomi dan Akuntansi, II(3), 589-601.IAIN Pontianak. 2019. “Sistem Informasi Akademik Institut Agama Islam Negeri Pontianak.” Mahasiswa IAIN Pontianak. www.sia.iainptk.ac.id.Kaplan, S. Robert, and David P. Norton. 2000. Balanced Scorecard, Menerapkan Strategi Menjadi Aksi. Jakarta: Penerbit Erlangga.Karathanos, Dementrius, and Patricia Karathanos. 2005. “Appliying the Balanced Scoredard to Education.” Journal of Education for Business: 222–30.Kemenristek Dikti RI. 2019. “Pangkalan Data Pendidikan Tinggi:  Kementrian Riset , Teknologi, Dan Pendidikan Tinggi.” Tenaga Pendidik  IAIN Pontianak. www/forlap.ristekdikti.go.id.Kementrian Agama RI. 2019. “Seleksi Prestasi Akademik Nasional APerguruan Tinggi Keagamaan Islam Negeri.” SPAN PTKIN 2019. https://span-ptkin.ac.id.Mahsun, Muhammad. 2006. Pengukuran Kinerja Sektor Publik. 1st ed. Yogyakarta: BPFE.Mardiasmo. 2004. Akuntansi Sektor Publik. 1st ed. Yogyakarta: BPFE.Mulyadi. 2007. Balanced Scorecard, Alat Manajemen Kontemporer Untuk Pelipatganda Kinerja Keuangan Perusahaan. 1st ed. Jakarta: Penerbit Salemba Empat.Nugrahini, I. A. P., Ratnadi, N. M. D., & Putri, I. G. A. M. A. D. (2016). Penilaian Kinerja Berdasarkan Balanced Scorecard Pada Badan Penanaman Modal Dan Perijinan Daerah Kabupaten Tabanan. E-Jurnal Ekonomi dan Bisnis Universitas Udayana, 5(4), 829-856.Rollins, Andrea Mae. 2011. “A Case Study: Application of Balanced Scorecard in Hingher Education.” PhD Dissertation. San Diego State University.Singarimbun, Masri, and Sofian Effendi. 1989. Metode Penelitian Survey. Jakarta: LP3ES.Sugiono. 2005. Metode Penelitian Bisnis. Bandung: Alfabeta.Suta, I. W. P., & Dwiastuti, G. A. A. S. A. (2016). Pengukuran Kinerja Dengan Pendekatan Balanced Scorecard Pada Kantor Pusat Pt Bank Pembangunan Daerah Bali. Jurnal Bisnis Dan Kewirausahaan, 12(1), 32-41.Syarbaini, Khatib. 1986. “Fakultas Tarbiyah (Ketikan Manual).”Yassin, A., Musadieq, M. A., & Afrianty, T. W. (2016). Pengaruh Balanced Scorecard Dan Knowledge Management Terhadap Kinerja Karyawan Dan Kinerja Perusahaan (Studi Pada Karyawan Pt Semen Indonesia (Persero) Tbk). Jurnal Administrasi Bisnis, 33(2), 125-134.


Author(s):  
Antonio Sánchez Herguedas ◽  
Adolfo Crespo Márquez ◽  
Francisco Rodrigo Muñoz

Abstract This paper describes the optimization of preventive maintenance (PM) over a finite planning horizon in a semi-Markov framework. In this framework, the asset may be operating, and providing income for the asset owner, or not operating and undergoing PM, or not operating and undergoing corrective maintenance following failure. PM is triggered when the asset has been operating for τ time units. A number m of transitions specifies the finite horizon. This system is described with a set of recurrence relations, and their z-transform is used to determine the value of τ that maximizes the average accumulated reward over the horizon. We study under what conditions a solution can be found, and for those specific cases the solution τ* is calculated. Despite the complexity of the mathematical solution, the result obtained allows the analyst to provide a quick and easy-to-use tool for practical application in many real-world cases. To demonstrate this, the method has been implemented for a case study, and its accuracy and practical implementation were tested using Monte Carlo simulation and direct calculation.


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