Izvorni znanstveni članak

https://doi.org/10.21278/TOF.482046022

An Artificial Neural Network Model Supported with Hybrid Multi-Criteria Decision-Making Approaches to Rank Lean Tools for a Foundry Industry

Vijayanand J orcid.org/0000-0002-5042-6136 ; Department of Mechanical Engineering, St Joseph’s College of Engineering, Chennai, India
Vaddi Seshagiri Rao ; Department of Mechanical Engineering, St Joseph’s College of Engineering, Chennai, India

Sažetak

The primary objective of this study is to optimise operating efficiency and minimise waste within a core foundry shop through the application of lean manufacturing techniques. The research emphasises the significance of Artificial Neural Networks (ANNs) in aligning an expert assessment matrix with lean tool rankings, particularly in addressing the challenges associated with fuzzy logic-based leanness computation. The expert assessment matrix was constructed with the entropy approach for generating weights and the TOPSIS ranking algorithm for evaluating lean tools. The use of the TOPSIS technique resulted in a notable level of agreement, with a percentage of 73.42%, and a corresponding level of disagreement of 26.57%, when compared to the expert evaluation matrix developed for the assessment of lean tools. The expert assessment matrix that was produced was utilised in the analysis of the efficacy of several lean tools inside a foundry core manufacturing line. The research suggests the implementation of an automated conveyor system for the transportation of several cores, which would lead to the optimisation of floor space, enhanced safety measures, and more schedule flexibility.  The findings of this study reveal a significant decrease of 79.6% in non-value-added activities (NVA), a notable improvement of 62.66% in process efficiency, a substantial reduction of 66.66% in waiting times, a considerable decrease of 35% in personnel requirements, and a significant cost reduction of 45%. A three-month accident-free workplace demonstrated the efficacy of the safety strategy.

Ključne riječi

lean manufacturing; MCDM; process time; cost; safety; defect; productivity; neural network; core station; foundry

Hrčak ID:

315245

URI

https://hrcak.srce.hr/315245

Datum izdavanja:

25.2.2024.

Posjeta: 161 *