Publication detail

Integration of Analytic Network Process in Adaptive Lean and Green Processing

LEONG, W., HOW, B., TENG, S., NGAN, S., NG, W., LIM, C., LAM, H., TAN, C., PONNAMBALAM, S.

Original Title

Integration of Analytic Network Process in Adaptive Lean and Green Processing

Type

journal article in Scopus

Language

English

Original Abstract

The manufacturing and processing industry have been an important part of the global economy. Many industry players are constantly looking for an alternative to improve their operation and environmental performance to remain competitive in the market. The lean and green approach aims to reduce operation and environmental waste within an organisation. In this study, a lean and green framework is proposed to evaluate the industrialist performance to achieve higher performance efficiency and reduce environmental impact. Three main clusters are incorporated in the framework such as environment, machine and resources. The analytic network process (ANP) method is used to establish the relationship between the three clusters with the input from industry expert from the respective field. A lean and green index is developed from the ANP model as a benchmarking for the industrialist. Backpropagation method is utilized as the continuous analysis tools to analyse the performance of the organization accordingly to the time step. The adaptive characteristic of backpropagation method is reflected from the ability for continuous improvement with time. In this study, the lean and green index will be further optimized with the adaptive approach. This paper proposes an adaptive model that can improve the industry’s performance and practise continuous improvement through establishing the adaptive approach.

Keywords

Lean and green, analytical network process, process optimization, machine learning, back-propagation

Authors

LEONG, W., HOW, B., TENG, S., NGAN, S., NG, W., LIM, C., LAM, H., TAN, C., PONNAMBALAM, S.

Released

30. 10. 2019

Publisher

AIDIC Servizi S.r.l.

Location

Milan, Italy

ISBN

2283-9216

Periodical

Chemical Engineering Transactions

Year of study

76

Number

1

State

Republic of Italy

Pages from

559

Pages to

564

Pages count

6

URL

https://www.aidic.it/cet/19/76/094.pdf

BibTex

@article{BUT160582,
  author="Sin Yong {Teng}",
  title="Integration of Analytic Network Process in Adaptive Lean and Green Processing",
  journal="Chemical Engineering Transactions",
  year="2019",
  volume="76",
  number="1",
  pages="559--564",
  doi="10.3303/CET1976094",
  issn="2283-9216",
  url="https://www.aidic.it/cet/19/76/094.pdf"
}