PL EN


Preferencje help
Widoczny [Schowaj] Abstrakt
Liczba wyników
Tytuł artykułu

The model relationship of wastes for parameter design with green lean production of fresh water

Treść / Zawartość
Identyfikatory
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
Lean manufacturing is about eliminating waste including the seven traditional, this writing suggested an observation on no value added of seven wastes influencing the process of fresh water production. The relationship value among waste was statistically verified to create an approach for continuous improvement action. Thus, the main goal of this research is to develop a methodology of relationship among wastes and eliminate them. In relationship among wastes, it could be known that the high value indicating how often it happened in the production process gave direct cause in the system of fresh water treatment. A recommendation to reduce the highest value of waste is by doing improvement on parameter setting to obtain an optimum mixing model between water supply, alum and stroke pump with Taguchi method. The interaction of relationship among these seven types of waste can be portrayed using fishbone diagram and a relationship model among wastes using PLS smart (partial least squares). The final relationship model with the highest value of waste was analyzed using off-line quality control to upgrade the quality of fresh water used as the basis to eliminate waste and find out the optimal parameter of mixing process in accordance with the health standard.
Słowa kluczowe
Rocznik
Strony
481--488
Opis fizyczny
Bibliogr. 19 poz., rys., tab.
Twórcy
  • Mechanical Engineering Department, Lambung Mangkurat University, 65144 Malang, Indonesia
autor
  • Mechanical Engineering Department, Lambung Mangkurat University
  • Mechanical Engineering Department, Brawijaya University
autor
  • Industrial Engineering Department, Brawijaya University
Bibliografia
  • Abdullah, P., Fang Yee, L., Ata, S., Abdullah Basar, A., Khairul, I., & Zainal Abidin, N. (2009). The Study of Interrelationship Between Raw Water Quality Parameter, Chlorine Demand and the Formation of Disinfektan by-Product. Physics and chemistry of the aarth, 34, 806-811.
  • Anderson, J.C., Gerbing, D.W. (1988). Structural equation modelling in practice a review and recommended two step approach. Psychological Bulletin, 103(30), 453-460.
  • Browne, M.W., & Cudeck, R. (1993). Alternative ways of assessing model fit. Sociological Methods & Research, 21(2), 230-258.
  • Deif, A.M., (2011). A system model for green manufacturing., Advances in Production Engineering and Management 6, 27-36.
  • Dieleman, H. & Huisingh, D. (2006). Games by which to learn and teach about sustainable development: exploring the relevance of games and experiential learning for sustainability. Journal of Fresh Productions, 14, 837-847.
  • Duque, D.F.M. & Cadavid, L.R. (2007). Lean manufacturing measurement: The relationship between lean activities and lean metrics. Estudios Gerenciales, 23, 66-83.
  • El-Halwagi, M.M., Hamad, A.A. & Garrison, G.W. (1996). Synthesis of Waste Interception and Allocation Networks. AIChE Journal 42, 3087.
  • Henseler, J., Ringle, C.M., & Sinkovics, R.R. (2010). The use of partial least squares path modeling in international marketing. In R.R. Sinkovics, P.N. Ghauri (Eds), New challenges to international marketing (pp. 277-319). Bingley, UK: Emerald Group Publishing.
  • Kuo, W.C.J. & Smith, R. (1998). Designing for the Interactions Between Water-Use and Effluent Treatment. Transactions of the Institution Chemical Engineers, 76, Part A, 287.
  • Ling, T.Y., Soo, Ch.L., Phan, T.P., Nyanti, L., Sim S.F. & Grinang, J. (2017). Assessment of Water Quality of Batang Rajang at Pelagus Area, Sarawak, Malaysia. Sains Malaysiana, 46(3), 401-411.
  • Michael, H. & Andreas, M.K. (2004). A Beginner’s Guide to Partial Least Square Analysis. Mahwah, USA: Lawrence Erlbaum Association, Inc.
  • Rawabdeh, I.A. (2005). A Model for the assessment of waste in job shop environments. International Journal of Operations & Production Management, 25(8), 800-822.
  • Ross, P.J. (1996). Taguchi Techniques for Quality Engineering. McGraw-Hill International.
  • Roy, R.K. (2001). Design of Experiments Using The Taguchi Approach, Hoboken, NJ: John Wiley & Sons.
  • Womack, J. & Jones, D. (1996). Lean Thinking. Washington: Free Press.
  • Womack, J., Jones, D. & Roos, D. (1990). The Machine That Changed the World: The Story of Lean Production. New York, USA: Rawson Associates New York.
  • Yoneyama, A., Yeh, C.H. & JayKuo, C.C. (2005). Robust Vehicle and Traffic Information Extraction for Highway Surveillance. EURASIP Journal on Adrances in Signal Processing, 2305-21.
  • Vinzi, V.E., Chin, W.W., Henseler, J. & Wang, H. (2010). Handbook of Partial Least Square. Berlin – Heidelberg: Springer.
  • Wang, Y.P. & Smith, R. (1995). Waste water Minimization with Flowrate Constraints. Transactions of the Institution of Chemical Engineers 73, Part A, 889.
Uwagi
Opracowanie rekordu ze środków MNiSW, umowa Nr 461252 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2021).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-c9ebca2b-57a9-4c2b-9a16-e50fdec58ff0
JavaScript jest wyłączony w Twojej przeglądarce internetowej. Włącz go, a następnie odśwież stronę, aby móc w pełni z niej korzystać.