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All Journal Indonesian Journal of Industrial Engineering & Management
Isaac Temitope Abiola
University of Lagos, Lagos, Nigeria
Control & Systems Engineering Decision Sciences, Operations Research & Management Engineering Industrial & Manufacturing Engineering

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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.
Cause-and-Effect Relationship Analysis of Cocoa Pod Husk Composites in Water Absorption Process Parametric Evaluation: A DEMATEL Approach Isaac Temitope Abiola; Victor Chidiebere Maduekwe; 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.v2i1.10225

Abstract

Polymer composites are expanding in scope and applications to water-based structures such as the ship's hull in ship vessels due to their resistance to water and satisfactory mechanical properties. Unforunately, few studies have tackled their water absorption properties. In this paper, a novel method, DEMATEL, is used to analyse the conflicting water absorption process parameters of cocoa pod husk composite using the cause and effect associations of the parameters. The parameters considered are particulate loading, initial weight, particulate weight, the weight of the matrix, and weight after 150 days and rate of water absorption. A comparison scale explains the extent of influence of a criterion on the other. The direct relationship matrix is normalized and the total relation matrix generated to procedure a causal diagram. The most fascinating findings of the study are the differences between the sum of row and columns, which places particulate weights as the most appealing, 1.0798, while the rate of water absorption as the least appealing criterion. Besides, the sum of the row and column that yields the most attractive results is the particulate weight (5.4982) while the least attractive result is the rate of water absorption (3.5436). The novelty of this work lies in the application of DEMATEL structure to examine contextual associations between the essential pointers of water absorption process parameters, for cocoa pod husk composites in the water environment. To our knowledge, it is the first type of work in this area on the selected agro-filler-based composite.
The Application of Taguchi-WSM, Taguchi-WPM and Taguchi-WASPAS Multicriteria Methods to Optimize Downtime in a Production Process Isaac Temitope Abiola; Sunday Ayoola Oke
IJIEM - Indonesian Journal of Industrial Engineering and Management Vol 3, No 1: February 2022
Publisher : Program Pascasarjana Magister Teknik Industri Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/ijiem.v3i1.13221

Abstract

In the industrial transformation of animal feed for chickens, downtime analysis is a crucial part of the plant's operations. Unfortunately, the literature on downtime analysis has a serious shortcoming; it fails to link downtime with Taguchi method’s optimization and ranking. To correct this deficiency, this paper proposes a new method that couples the Taguchi scheme with the weighted sum method (WSM), weighted product method (WPM) and weighted aggregated sum product assessment (WASPAS) method. A new model was developed to contain downtime factors, levels, orthogonal matrix, signal-to-noise proportions, normalisation indices, criteria weights and preference scores. The results of the Taguchi-WSM, Taguchi-WPM and Taguchi-WASPAS show that workstation 2 has the highest rankings of 0.8446, 8.9090 and 4.8770 for the Taguchi-WSM, Taguchi-WPM and Taguchi-WASPAS, respectively. Also, the lowest rankings of 0.1553, 6.7990 and 3.4800 were recorded for workstation 1 using the Taguchi-WSM, Taguchi-WPM and Taguchi-WASPAS methods, respectively. However, from literature reports, WASPAS has been associated with the best results compared to WSM and WPM. Hence, from the various results of prioritizing workstations 1 and 2, the results of the Taguchi-WASPAS method are recommended. This is the first time the downtime problem for animal feed processing equipment will be approached by a joint optimization and ranking with the Taguchi scheme, WSM, WPM and WASPAS multicriteria methods.
Co-Authors Sunday Ayoola Oke Victor Chidiebere Maduekwe