Publication detail

Adaptive Analytical Approach to Lean and Green Operations

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

Original Title

Adaptive Analytical Approach to Lean and Green Operations

Type

journal article in Web of Science

Language

English

Original Abstract

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.

Keywords

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

Authors

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

Released

20. 10. 2019

Publisher

Elsevier

Location

Oxford, England

ISBN

0959-6526

Periodical

Journal of Cleaner Production

Year of study

235

Number

1

State

United Kingdom of Great Britain and Northern Ireland

Pages from

190

Pages to

209

Pages count

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"
}