Indonesian Journal of Industrial Engineering & Management
Vol 2, No 3: October 2021

Health and Safety Compliance Index Optimization using Binomial Motivated Taguchi Method and Multicriteria Selection

Shedrach Aliakwe Martins (University of Lagos, Lagos, Nigeria)
Sunday Ayoola Oke (University of Lagos, Lagos, Nigeria)
Onoyeyan Onajite (University of Lagos, Lagos, Nigeria)



Article Info

Publish Date
03 Oct 2021

Abstract

Previous research has examined how the safety conformity of a bottling process plant may be analysed from the lens of machine guarding usage by operators. To advance knowledge, this study pioneers how to optimize safety conformity for all operations using binomial motivated Taguchi method. Secondly, for the first time, this study analyzes the performance of segments in safety conformity of bottling plant segments using multicriteria methods. Development of binomial motivated Taguchi method includes data gathering, calculating the binomial distribution, determining levels and factors, orthogonal arrays, and the signal-to-noise ratios. Computations are made of optimal, global and specific parametric settings. The multicriteria models used entropy for weight determination and indices were obtained for 12 evaluation periods. The optimal parametric setting is obtained as A3HT-A2S-A2O-A3C1, which is -1.92E+02 for segment 1, 1.29E-01 for segment 2, -1.15E+02 for segment 3 and -1.52E+02 for segments 4 and 5. The specific optimized values (SOVs) of workers shows that SOV (segment 2) > SOV (segment 3) > SOV (segment 1) > SOV (segments 4 and 5). The best performing operations in the five segments are the rescuers (segment 1), technical operators and packer/unpacker operators (segment 2), sugar lifters (segment 3), forklift technicians (segment 4) and contractor 3 (segment 5). The binomial motivated Taguchi method is an effective tool to optimize operational activities while the multicriteria models proved effective to rank performance for optimized results. The obtained results may be useful to plan for safety budgets.

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Journal Info

Abbrev

ijiem

Publisher

Subject

Control & Systems Engineering Decision Sciences, Operations Research & Management Engineering Industrial & Manufacturing Engineering

Description

The journal aims to advance the theoretical and applied knowledge of this rapidly evolving field, with a special focus on industrial engineering and management, organisation of production processes, management of production knowledge, computer integrated management of production flow, enterprise ...