PENGEMBANGAN TOOL WASTE TYPE WEIGHT ASSESSMENT MENGGUNAKAN MAKING TRIAL AND EVALUATION LABORATORY (DEMATEL) UNTUK MENDUKUNG KONSEP LEAN ASSESSMENT MATRIX

Penulis

  • Nadia Fasa, S.T., M.T.
  • Dwi Handayani
  • Septi Ayu Angrayni

DOI:

https://doi.org/10.35261/barometer.v8i2.11151

Abstrak

Salah satu tool yang dapat membantu mengeliminasi waste ialah lean assessment matrix (LAM). LAM digunakan untuk mengurangi waste dengan menghitung bobot hubungan keterkaitan antar waste agar didapatkan prioritas waste. Prioritas waste mempertimbangkan assessment severity, occurrence, keterkaitan hubungan antar waste dan impact value. Pada assessment matrix sebelumnya dalam menghitung bobot nilai relasi waste menggunakan metode Waste relationship matrix (WRM), namun kekurangan dari tool ini adalah jumlah pertanyaan yang digunakan terlalu banyak dan konversi nilai yang tidak memiliki standar sehingga tidak memudahkan bagi responden atau human expert dalam mengukur keterkaitan antar waste. Sehingga, pada penelitian ini dilakukan pengembangan pada Waste Type Weight Assessment dengan menintegrasikan Decision Making Trial And Evaluation Laboratory (DEMATEL) ke dalam LAM. Implementasi modifikasi Lean Assessment Matrix pada studi kasus menghasilkan priority rank of waste yaitu jenis waste Defect (W3, W2, W4) dan waste Overprocessing (W16 dan W15). Hasil dari modifikasi tool LAM yang dilakukan dapat membantu perusahaan untuk menentukan waste kritis dengan lebih mudah dan selaras dengan strategi perusahaan.

 

Unduhan

Data unduhan belum tersedia.

Referensi

Pangesti, A. T. (2019). Pengembangan Tool Untuk Penerapan Lean Dengan Integrasi Waste Relationship Matrix (WRM) Dan House Of Risk (HOR). Surabaya: Institut Teknologi Sepuluh Nopember.

Pujawan, I. N., & Geraldin, L. H. (2009). House of risk: A model for proactive supply chain risk management. Business Process Management Journal, 15(6), 953–967. https://doi.org/10.1108/14637150911003801

Rawabdeh, I. A. (2005). A model for the assessment of waste in job shop environments. International Journal of Operations and Production Management, 25(8), 800–822. https://doi.org/10.1108/01443570510608619

Dalalah, D., Hayajneh, M., & Batieha, F. (2011). A fuzzy multi-criteria decision making model for supplier selection. Expert Systems with Applications, 38(7), 8384–8391. https://doi.org/10.1016/j.eswa.2011.01.031

Baykasoǧlu, A., Kaplanoglu, V., Durmuşoglu, Z. D. U., & Şahin, C. (2013). Integrating fuzzy DEMATEL and fuzzy hierarchical TOPSIS methods for truck selection. Expert Systems with Applications, 40(3), 899–907. https://doi.org/10.1016/j.eswa.2012.05.046

Patil, S. K., & Kant, R. (2014). A hybrid approach based on fuzzy DEMATEL and FMCDM to predict success of knowledge management adoption in supply chain. Applied Soft Computing Journal, 18, 126–135. https://doi.org/10.1016/j.asoc.2014.01.027

Kobryń, A. (2017). DEMATEL as a weighting method in multi-criteria decision analysis. Multiple Criteria Decision Making, 12(April), 153–167. https://doi.org/10.22367/mcdm.2017.12.11

Liu, H. C., You, J. X., Lu, C., & Chen, Y. Z. (2015). Evaluating health-care waste treatment technologies using a hybrid multi-criteria decision making model. Renewable and Sustainable Energy Reviews, 41, 932–942. https://doi.org/10.1016/j.rser.2014.08.061

Widiasih, W., Nurmalasari, N., & Handayani, L. (2019). Identifikasi Hubungan Keterkaitan Faktor- Faktor Pendukung Penerapan Lean Manufacturing di Indonesian Aerospace ( IAe ). 72–75.

Sharma, V., Dixit, A. R., & Qadri, M. A. (2016). Empirical assessment of the causal relationships among lean criteria using DEMATEL method. Benchmarking: An International Journal, 23(7).

Gabus, A., & Fontela, E. (1972). World problems an invitation to further thought within the framework of DEMATEL. Battelle Geneva Research Centre.

Ali, S. A. M., Sorooshian, S., & Kie, C. J. (2016). Modelling for causal interrelationships by DEMATEL. Contemporary Engineering Sciences, 9(9), 403–412. https://doi.org/10.12988/ces.2016.6214

Tzeng, G.-H., & Huang, J.-J. (2011). Multiple Attribute Decision Making : Methods and Applications (1st Editio). Chapman and Hall/CRC. https://doi.org/https://doi.org/10.1201/b11032

Bicheno, J., & Holweg, M. (2009). The Lean Toolbox: The Essential Guide to Lean Transformation_Fourth Edition. Production And Inventory Control, Systems And Industrial Engineering (PICSIE) Books : Buckingham, England.

Saaty, T. L. (1980). The analytic hierarchy process: Planning, Priority Setting, Resources Allocation. New York: McGraw-Hill International Book Company.

Si, S. L., You, X. Y., Liu, H. C., & Zhang, P. (2018). DEMATEL Technique: A Systematic Review of the State-of-the-Art Literature on Methodologies and Applications. Mathematical Problems in Engineering, 2018(1). https://doi.org/10.1155/2018/3696457

Chiu, W. Y., Tzeng, G. H., & Li, H. L. (2013). A new hybrid MCDM model combining DANP with VIKOR to improve e-store business. Knowledge-Based Systems, 37, 48–61. https://doi.org/10.1016/j.knosys.2012.06.017

Diterbitkan

2024-03-13

Cara Mengutip

Fasa, S.T., M.T., N., Handayani, D. ., & Angrayni, S. A. . (2024). PENGEMBANGAN TOOL WASTE TYPE WEIGHT ASSESSMENT MENGGUNAKAN MAKING TRIAL AND EVALUATION LABORATORY (DEMATEL) UNTUK MENDUKUNG KONSEP LEAN ASSESSMENT MATRIX . BAROMETER, 8(2). https://doi.org/10.35261/barometer.v8i2.11151

Terbitan

Bagian

Artikel