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Adaptive Analytical Approach to Lean and Green Operations

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Listed:
  • Leong, Wei Dong
  • Teng, Sin Yong
  • How, Bing Shen
  • Ngan, Sue Lin
  • Lam, Hon Loong
  • Tan, Chee Pin
  • Ponnambalam, S. G.

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.

Suggested Citation

  • Leong, Wei Dong & Teng, Sin Yong & How, Bing Shen & Ngan, Sue Lin & Lam, Hon Loong & Tan, Chee Pin & Ponnambalam, S. G., 2019. "Adaptive Analytical Approach to Lean and Green Operations," MPRA Paper 95449, University Library of Munich, Germany, revised 20 May 2019.
    • Handle: RePEc:pra:mprapa:95449
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    6. Zhao, Guanjia & Cui, Zhipeng & Xu, Jing & Liu, Wenhao & Ma, Suxia, 2022. "Hybrid modeling-based digital twin for performance optimization with flexible operation in the direct air-cooling power unit," Energy, Elsevier, vol. 254(PC).
    7. Teng, Sin Yong & Leong, Wei Dong & How, Bing Shen & Lam, Hon Loong & Máša, Vítězslav & Stehlík, Petr, 2021. "Debottlenecking cogeneration systems under process variations: Multi-dimensional bottleneck tree analysis with neural network ensemble," Energy, Elsevier, vol. 215(PB).
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    9. Teng, Sin Yong & Touš, Michal & Leong, Wei Dong & How, Bing Shen & Lam, Hon Loong & Máša, Vítězslav, 2021. "Recent advances on industrial data-driven energy savings: Digital twins and infrastructures," Renewable and Sustainable Energy Reviews, Elsevier, vol. 135(C).

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    More about this item

    Keywords

    Lean & green manufacturing; Lean and green index; Back-propagation; Machine learning; Process optimisation;
    All these keywords.

    JEL classification:

    • C1 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General
    • C10 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - General
    • C8 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs
    • C80 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - General
    • C83 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Survey Methods; Sampling Methods
    • L6 - Industrial Organization - - Industry Studies: Manufacturing
    • L7 - Industrial Organization - - Industry Studies: Primary Products and Construction
    • L8 - Industrial Organization - - Industry Studies: Services
    • L9 - Industrial Organization - - Industry Studies: Transportation and Utilities
    • M0 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - General
    • O3 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights

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