Enhancing the adaptability: Lean and green strategy towards the Industry Revolution 4.0

Enhancing the adaptability: Lean and green strategy towards the Industry Revolution 4.0

Článek WoS

Industry 4.0 has brought forth many advantages and challenges for the industry players. Many organizations are strategizing to take advantage of this industrial paradigm shift, thus improving the sustainability of the enterprise. However, there are many factors such as talent development, machinery advancement and infrastructure development which involve huge investment that need to be considered. This paper presents an enhanced adaptive model for the implementation of the lean and green (L&G) strategy in processing sectors to solve dynamic industry problems associated with Industry 4.0. A feature of this enhanced adaptive model is that it combines experts’ experience and operational data as input in dealing with real industry application. A lean and green index is coupled in the model to serve as a benchmark and process improvement tracking indicator. This allows the industrialists to set a lean and green index (LGI) target for effective process improvement. From this integrated model, an ensemble of backpropagation optimizers is then used to identify the best-optimized strategy. This ensemble optimizer is formulated to perform operation improvement and update the targeted LGI automatically when a higher index is achieved for continuous improvement. A case study on a combined heat and power plant is performed and reflects an improvement of 18.25% on the LGI. This work serves as a practical transition strategy for the industrialist desiring to improve the sustainability of the facility with Industry 4.0 elements at minimum investment cost. (C) 2020 Elsevier Ltd. All rights reserved.

Industry 4.0 has brought forth many advantages and challenges for the industry players. Many organizations are strategizing to take advantage of this industrial paradigm shift, thus improving the sustainability of the enterprise. However, there are many factors such as talent development, machinery advancement and infrastructure development which involve huge investment that need to be considered. This paper presents an enhanced adaptive model for the implementation of the lean and green (L&G) strategy in processing sectors to solve dynamic industry problems associated with Industry 4.0. A feature of this enhanced adaptive model is that it combines experts’ experience and operational data as input in dealing with real industry application. A lean and green index is coupled in the model to serve as a benchmark and process improvement tracking indicator. This allows the industrialists to set a lean and green index (LGI) target for effective process improvement. From this integrated model, an ensemble of backpropagation optimizers is then used to identify the best-optimized strategy. This ensemble optimizer is formulated to perform operation improvement and update the targeted LGI automatically when a higher index is achieved for continuous improvement. A case study on a combined heat and power plant is performed and reflects an improvement of 18.25% on the LGI. This work serves as a practical transition strategy for the industrialist desiring to improve the sustainability of the facility with Industry 4.0 elements at minimum investment cost. (C) 2020 Elsevier Ltd. All rights reserved.

Lean and green manufacturing, Lean and green index, Machine learning, Process optimization, Adaptive model, Industry revolution 4.0

Lean and green manufacturing, Lean and green index, Machine learning, Process optimization, Adaptive model, Industry revolution 4.0

LEONG, W.D., TENG, S.Y., HOW, B.S., NGAN, S.L., RAHMAN, A.A., TAN, C.P., PONNAMBALAM, S.G., LAM, H.L.

2021

10.11.2020

Elsevier

Oxford, England

0959-6526

Journal of Cleaner Production

273

1

Spojené státy americké

1

20

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https://www.sciencedirect.com/science/article/pii/S0959652620329152