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All Journal Jurnal Rekayasa Sistem Industri JIEMS (Journal of Industrial Engineering and Management Systems) Jurnal Ilmiah Teknik Industri International Journal of Marine Engineering Innovation and Research Indonesian Journal of Industrial Engineering & Management
Sunday Ayoola Oke
University of Lagos, Lagos, Nigeria
Automotive Engineering Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Materials Science & Nanotechnology Mechanical Engineering Physics Transportation

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The Application of WSM, WPM and WASPAS Multicriteria Methods for Optimum Operating Conditions Selection in Machining Operations Onoyeyan Onajite; Sunday Ayoola Oke
Jurnal Rekayasa Sistem Industri Vol. 10 No. 1 (2021): Jurnal Rekayasa Sistem Industri
Publisher : Universitas Katolik Parahyangan

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1950.136 KB) | DOI: 10.26593/jrsi.v10i1.4271.1-14

Abstract

Optimal condition selection in machining operations is an imperative decision for the process engineer as it influences improved tool life and surface roughness values. As the aluminium market is extremely competitive, process engineers strive to understand what to do to gain preference from prospective customers. From this viewpoint, the criteria responsible for operating decisions should be examined. In this paper the WSM, WPM and WASPAS multicriteria methods are proposed for optimal machining conditions for turned aluminium bars. A stepwise methodology of the WSM, WPM and WASPAS methods is detailed. The proposed technique was tested on published data regarding the turning of an aluminium bar, machined on a lathe machine. The case study consists of three input parameters (spindle speed, feed rate and depth of cut) and four responses (cutting temperature, cutting force, surface roughness and material removal rate). After analysing the experimental data using the models, the entropy method chose material removal rate was chosen as the best. Using the three other models, the best selection was run 17 which correspond to an input parameter of 605 rpm spindle speed, 0.12 mm/rev feed rate and 1.8 mm depth of cut. This article offers a completely new approach to operating condition selection in the turning of the aluminium bar. In the current aluminium market, it is extremely important to understand the operating conditions of the machine for enlarged customer patronage and sustainability. The unique feature of this approach is the elevated level of reliability it exhibits.
The Application of the EDAS Method in the Parametric Selection Scheme for Maintenance Plans in the Nigerian Food Industry Victor Chidiebere Maduekwe; Sunday Ayoola Oke
Jurnal Rekayasa Sistem Industri Vol. 11 No. 1 (2022): Jurnal Rekayasa Sistem Industri
Publisher : Universitas Katolik Parahyangan

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (727.548 KB) | DOI: 10.26593/jrsi.v11i1.4349.1-22

Abstract

Nowadays, maintenance performance in organizations has become compelling due to competitiveness in the global market and the inclusion of more legislation issues (such as safety and health regulations) in assessments. In this article, the purpose is to formulate in maintenance problem for a food processing unit as a multicriteria problem and solve it using the evaluation based on distance from the average solution (EDAS) method. To attain this purpose, the authors defined a set of weighted criteria and a set of alternatives, and the solution is the alternative that scores the best in those criteria. Consequently, analysis was done based on the EDAS method and the calculated results from the literature data. Consequently, the parameters considered include the frequency of failure, MTBF, MTTF and MTTR while availability is the response. The EDAS method was used to select the best alternative (MTTR, 0.8802) and this score of 0.8802 is for an alternative. The chief novelty of this article is the unique introduction of an innovative EDAS method, which requires only two measures of the desirability of alternative (positive and negative distances from the average solution) but excluded the evaluation of the idea and nadir solutions for the key performance indicators of maintenance. Consequently, this study initiates a maintenance plan for the food industry referring to the key performance indicators as a cause for poor availability of equipment in the Nigerian food industry.
FACTOR ANALYSIS APPROACH-TAGUCHI-PARETO METHOD TO CASTING A356 ALLOY COMPOSITE FOR LIGHTWEIGHT WHEEL RIM COVER OF VEHICLES Stephen Chidera Nwafor; Sunday Ayoola Oke; Chris Abiodun Ayanladun
Jurnal Ilmiah Teknik Industri Vol 10, No 1 (2022): Jurnal Ilmiah Teknik Industri : Jurnal Keilmuan Teknik dan Manajemen Industri
Publisher : Program Studi Teknik Industri, Fakultas Teknik Universitas Tarumanagara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24912/jitiuntar.v10i1.9407

Abstract

The aspect of reinforcing re-usable A356 alloys with organic matters is a principal, success yet expanding in scope regarding new products development. Despite, the use of Taguchi-Pareto method has potentials for improvement. The purpose of this article is to examine the factor analysis- Taguchi-Pareto method at which identification of the key factors could be achieved while concurrently optimizing the factors. The point of integration is at the variance determination of the unrotated factor loadings and communality. The synergy between factor analysis and Taguchi-Pareto method provides practical assistance to foundry engineers to concurrently select key factors while optimising them. The factors were noted to be effective and responsive to the proposed method. The delta values are 0, 0.84 and 0 for LC1, WC1 and HC1, respectively while the ranks are WC1 as first while the second position is shared between LC1 and HC1. The optimal parametric settings are LC11 WC11 HC11, LC11 WC11 HC12, LC12 WC11 HC11 or LC12 WC11 HC12­. One of the optimal parametric settings is 0.280m of LC1 with 1.788kg of WC1 and 0.036m of HC1. The finding provides novel steps to the concurrent factor identification and optimisation in the choice of optimal parametric setting for the process. It is the first step towards sustainable foundry practice.
Water Absorption Process Parametric Selection For Natural Composites Using The PROMETHEE Method And Analytical Hierarchy Process For Objective Weights For Ship’s Hull Application Victor Chidiebere Maduekwe; Sunday Ayoola Oke
International Journal of Marine Engineering Innovation and Research Vol 5, No 4 (2020)
Publisher : Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (425.056 KB) | DOI: 10.12962/j25481479.v5i4.7803

Abstract

The purpose of this study is to establish the importance of parameters in a water absorption process for natural particulate composite for ship’s hull applications. To attain useful and reliable outcomes, the subjective evaluation of the assessor and weights of inputs are combined in a PROMETHEE and analytical hierarchy process (AHP) approach. The PROMETHEE serves the goal of ranking while the AHP is deployed to establish the objective weighing. It was found that time is the heading parameter for the natural particulate thermoset composite solutions, compared with thickness and length. By integrating PROMETHEE and AHP, it was proved that this approach offers a higher level of confidence to composite developers than initiative practices that currently dominate choices of parameters. It is particularly useful for natural particulate water absorption parametric selection since it is an innovative and scientific choice approach involving multicriteria analysis.
Specific Gravity Analysis of Onion Peel and Snail Shell Particulates as Composite Fillers in Ship Applications Sunday Ayoola Oke
International Journal of Marine Engineering Innovation and Research Vol 6, No 2 (2021)
Publisher : Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (163.647 KB) | DOI: 10.12962/j25481479.v6i2.8570

Abstract

There is limited knowledge on the specific gravity of agro-based fillers, particularly particulate onion peels and snail shells despite their potentials as the ship's hull composite materials. This work reports experimental results on specific gravity concerning particulate onion peels and snail shells as fillers in ship's hull composite fabrication. Specific gravity bottles, water, and 15g each of particulate onion peels, snail shells, and their mixtures were used in laboratory conditions. It was found that onion peel particulates (specific gravity of 1.09± 0.41 for 0.063 mm), snail shell particulates (specific gravity of 0.95 ± 0.01 for 0.063 mm), and mixtures of particulate onion peel and snail shell (specific gravity of 1.02 ± 0.08 for 0.150 mm, 10g particulate onion peels + 5g particulate snail shell) yielded the least values, requiring the least fuel expenditure in generating torque for the desired motions during the ship's voyage. Moreover, a policy to use the snail shell recommendation should be formulated as it is the overall best to help in cost reduction by shipping organizations. Previous studies were on tomatoes and potatoes, among others. However, the present study takes a new direction to innovatively consider hardly studied fillers for polymer composites for the first time.
Performance Evaluation of Surface Roughness in the Boring Operation of IS 2062 E250 Plate on CNC Machine Using Combined Entropy-Decision Tree-VIKOR Approach Isaac Temitope Abiola; Sunday Ayoola Oke
IJIEM - Indonesian Journal of Industrial Engineering and Management Vol 2, No 1: February 2021
Publisher : Program Pascasarjana Magister Teknik Industri Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/ijiem.v2i1.10190

Abstract

In boring E250 B0 steel material, the selection of process parameters is one of the most challenging tasks to achieve. The boring literature lacks understanding and fails to reveal how to select the important boring parameters for utmost resource distribution to the most important parameters. This article proposes a novel method to analyse the importance of parameters in boring to produce utmost surface roughness using the entropy-decision tree-VIKOR approach as a multi-criteria decision-making solution to the choice of process materials for superior surface roughness. The choice parameters include speed, depth of cut, feed and nose radius. The entropy approach was instituted to attain the weight of the diverse parameters. The decision tree approach is deployed through the classification of the parameters as beneficial and non-beneficial and the expected values at each mode evaluated. The desirable weightage is then established and serves as the input to the VIKOR approach. This converts the desirable weightage into unit measures through the best/worst value and weightage evaluation. The individual regrets are then analyzed and the final ranking obtained. Results revealed that the depth of cut is the most important parameter, then nose radius (0.98), feed (0.307) and speed (0), respectively. Therefore, a plan to assign more measures to the depth of cut may be developed and the least resources may be assigned to speed. This detail may be helpful to prepare the annual budgets for the boring operation on the factory floor.
Optimization of Maintenance Downtime for Handling equipment in a Container Terminal using Taguchi Scheme, Taguchi-Pareto Method and Taguchi-ABC Method Lot Okanminiwei; Sunday Ayoola Oke
IJIEM - Indonesian Journal of Industrial Engineering and Management Vol 1, No 2: June 2020
Publisher : Program Pascasarjana Magister Teknik Industri Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/ijiem.v1i2.9912

Abstract

This paper examined the behavior of selected maintenance downtime parameters of handling equipment in a container terminal and established the system's optimal parameters. Taguchi method, Taguchi–Pareto method, and Taguchi–ABC method were applied to analyze it. The chosen process parameters are the downtime, probability density function, and cumulative density function. The L25, L25, and L20 orthogonal arrays were selected for the Taguchi, Taguchi-Pareto, and Taguchi–ABC methods. Data were acquired from a container terminal in the southern part of Nigeria, and we deployed the Weibull function to analyze the parameters at three shape functions of β = 0.5, 1, and 3 from twenty-five experiments. The signal–to–noise quotient and analysis of variance were used to establish the optimal level and contributions of the parameters. The results indicated that using the Taguchi method, for all the shape parameters of β = 0.5, 1, and 3, the most and the least significant parameters were downtime and cumulative density function, respectively. For the Taguchi-Pareto method, the most and the least significant parameters were downtime and probability density function, respectively, at β = 0.5. At β = 1, the most and the least significant parameters were downtime and cumulative density function, respectively. However, at β = 3, the most and the least significant parameters were probability density function and downtime, respectively. Finally, using the Taguchi-ABC method, at β = 0.5, the most and the least significant parameters were probability density function and downtime, respectively. Nonetheless, at β = 1 and 3, the most and the least significant parameters were downtime and probability density function, respectively. The proposed model would assist seaport maintenance managers in the effective control of downtime
Health and Safety Compliance Index Optimization using Binomial Motivated Taguchi Method and Multicriteria Selection Shedrach Aliakwe Martins; Sunday Ayoola Oke; Onoyeyan Onajite
IJIEM - Indonesian Journal of Industrial Engineering and Management Vol 2, No 3: October 2021
Publisher : Program Pascasarjana Magister Teknik Industri Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/ijiem.v2i3.12269

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.
Parametric Optimization under Cryogenic Machining of Medium Carbon Low Alloy Steel EN-19 Using the Integrated Taguchi-Present Worth Method Sunday Ayoola Oke
IJIEM - Indonesian Journal of Industrial Engineering and Management Vol 2, No 3: October 2021
Publisher : Program Pascasarjana Magister Teknik Industri Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/ijiem.v2i3.12196

Abstract

Medium carbon low alloy steel En-19 is a commercially thriving work material with 0.30 to 0.50% as carbon content and 0.60 to 1.65% as manganese content. The wide range of uses of medium carbon steel is for shafts, crankshafts, forgings, axles, couplings and gears. Given the broad industrial usage, the optimization of this work material is currently indispensable since it is a pointer to the economic management of drilling resources and a justifiable metric for performance assessment and evaluation. However, the present optimization models during machining have inaccurate predictions as they exclude the economic aspect of the material. In this article, a new combined Taguchi (T) method-present worth (PW) method is presented to account for the present worth and the inflation rate of steel material within the optimization context using literature data. The amalgamation of the two-component methods of Taguchi and present work is done at the signal-to-noise calculation. Then the response table, optimal parametric setting, the performance flow diagram and the present worth values are finally established. For the results, the optimal parametric setting was ascertained as SP3FR2DOC1, obtained at 37.48 (level 3), 35.92 (level 2) and 36.31 (level 1) for speed, feed rate and depth of cut, respectively, interpreted as 900rpm (speed), 0.1mm/min (feed rate) and 0.5mm (depth of cut). The T-PW method yields PWSP (62.85) as 1st, PWFR (-64.64) as 2nd and PWDOC (-65.13) as the 3rd position. It was found that the speed parameter is the best based on the optimization cum economic aspect assessment. The T-PW method predicts the optimization behaviour while analysing the economic aspect of the steel material and would help plan the purpose. The findings in this study would assist to clarify the approach to analyzing the economic characteristics of the machining process.
Multi-Response Optimization of Safety Conformity using Taguchi Scheme in a Bottling Process Plant Shedrach Aliakwe Martins; Sunday Ayoola Oke
IJIEM - Indonesian Journal of Industrial Engineering and Management Vol 2, No 2: June 2021
Publisher : Program Pascasarjana Magister Teknik Industri Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/ijiem.v2i2.10947

Abstract

Previous research has examined safety conformity in process plants in terms of machine guarding guideline compliance behavior of operators. However, it is not clear how the safety conformity of workers in non-equipment related activities could be evaluated. This paper proposes a new Taguchi based method to optimize the safety conformity of workers in equipment and non-equipment related activities in a bottling process plant. The unique elements of the paper are the introduction of global and specific value determination mechanisms for the process. The validity of the procedure was ascertained by field data from a developing country. The results obtained revealed that the conformity of the work to safety procedures leads to a healthy state of operation in the industry. The study’s outcome may benefit the safety manager in the organization by raising conformity awareness among workers and enhances safety budget planning with information obtained from the methodology.
Co-Authors Chris Abiodun Ayanladun Chukwuka Prosper Ozule Isaac Temitope Abiola Isaac Temitope Abiola Lot Okanminiwei Lot Okanminiwei Mofoluwaso Kehinde Adeniran Onoyeyan Onajite Onoyeyan Onajite Shedrach Aliakwe Martins Shedrach Aliakwe Martins Stephen Chidera Nwafor Ugochukwu Sixtus Nwankiti Ugochukwu Sixtus Nwankiti Victor Chidiebere Maduekwe Victor Chidiebere Maduekwe Yakubu Umar Abdullahi