Detail publikace

Adaptive Analytical Approach to Lean and Green Operations

LEONG, W. TENG, S. HOW, B. NGAN, S. HON LOONG, L. TAN, C. PONNAMBALAM, S.

Originální název

Adaptive Analytical Approach to Lean and Green Operations

Typ

článek v časopise ve Web of Science, Jimp

Jazyk

angličtina

Originální abstrakt

Recent problems faced by industrial players commonly relates to global warming and depletion of resources. This situation highlights the importance of improvement solutions for industrial operations and environmental performances. Based on interviews and literature studies, manpower, machine, material, money and environment are known as the foundation resources to fulfil the facility's operation. The most critical and common challenge that is being faced by the industrialists is to perform continuous improvement effectively. The needs to develop a systematic framework to assist and guide the industrialist to achieve lean and green is growing rapidly. In this paper, a novel development of an adaptive analytic model for lean and green operation and processing is presented. The development of lean and green index will act as a benchmarking tool for the industrialist. This work uses the analytic hierarchy process to obtain experts opinion in determining the priority of the lean and green components and indicators. The application of backpropagation optimisation method will further enhance the lean and green model in guiding the industrialist for continuous improvement. An actual industry case study (combine heat and power plant) will be presented with the proposed lean and green model. The model is expected to enhance processing plant performance in a systematic lean and green manner. (C) 2019 Published by Elsevier Ltd.

Klíčová slova

Lean & Green manufacturing, Lean and green index, back-propagation, machine learning, process optimisation

Autoři

LEONG, W.; TENG, S.; HOW, B.; NGAN, S.; HON LOONG, L.; TAN, C.; PONNAMBALAM, S.

Vydáno

20. 10. 2019

Nakladatel

Elsevier

Místo

Oxford, England

ISSN

0959-6526

Periodikum

Journal of Cleaner Production

Ročník

235

Číslo

1

Stát

Spojené království Velké Británie a Severního Irska

Strany od

190

Strany do

209

Strany počet

20

URL

https://www.sciencedirect.com/science/article/pii/S0959652619320979

BibTex

@article{BUT157388,
  author="LEONG, W. and TENG, S. and HOW, B. and NGAN, S. and HON LOONG, L. and TAN, C. and PONNAMBALAM, S.",
  title="Adaptive Analytical Approach to Lean and Green Operations",
  journal="Journal of Cleaner Production",
  year="2019",
  volume="235",
  number="1",
  pages="190--209",
  doi="10.1016/j.jclepro.2019.06.143",
  issn="0959-6526",
  url="https://www.sciencedirect.com/science/article/pii/S0959652619320979"
}