Garuda - Garba Rujukan Digital

APPLICATION of ENTROPY MULTICRITERIA METHOD FOR PARAMETRIC CLASSIFICATION of THE WIRE ELECTRICAL DISCHARGE MACHINING PROCESS USING NITINOL-60 SHAPE MEMORY ALLOY Ogunmola, Bayo Yemisi; Onitiri, Modupe Adeoye; Alozie, Nehemiah Sabinus; Oluwo, Adeyinka; Okwo, Jeremiah Ugo; Rajan, John; Jose, Swaminathan; Oke, Sunday Ayoola; Aderibigbe, Samuel Bolaji
International Journal of Mechanical Engineering Technologies and Applications Vol. 6 No. 2 (2025)
Publisher : Mechanical Engineering Department, Engineering Faculty, Brawijaya University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/MECHTA.2025.006.02.10

Nitinol-60 shape memory alloy (SMA) is known for its outstanding super elasticity non-magnetic properties, vibration absorption, high hardness and long fatigue life, among others. However, its conventional processing is difficult, complex and time-consuming, making the wire electrical discharge machining (WEDM) a viable option. Additionally, the choice of multicriteria methods is growing drastically in machining for economic and planning advantages. This paper presents an L15 orthogonal array analysis of the WEDM process parameters for nitinol-60 using the entropy method. The principal parameters are the gap voltage, dielectric flow rate and duty factor. However, the responses are surface crack density, recasting of larger thickness, and cutting rate. The procedure starts with the design of an experimental matrix with fifteen experiments. Then the parameters and responses are as beneficial and non-beneficial while their normalization is made. The entropy method is applied and the results are reported for the first time in the WEDM process of nitinol-60. to ensure optimum performance of the WEDM process, priority should be given in descending order to duty factor, dielectric flow rate and gap voltage at 0.1398, 0.1325 and 0.1117, respectively. to prioritize the responses, the average peak-to-valley height, maximum peak-to-valley heights and the cutting rate obtained the first, second and third positions, respectively. The findings presented in this work highlight the importance of nitinol-60 SMA as a promising candidate for medical devices and aerospace components. These are of public interest including neurovascular, dentistry, orthopedic, endoscopy and vascular intervention. It therefore offers new insights into planning in healthcare and wellbeing.

Green Supplier Evaluation and Selection in the Manufacturing Industry Using the Taguchi-VIKOR Methods Adedeji, Wasiu Oyediran; Olowu, Joseph Kolawole; Adeniran, Mofoluwaso Kehinde; Oyelami, Seun; Adeboye, Busayo; Rajan, John; Jose, Swaminathan; Benrajesh, Pandiaraj; Oke, Sunday Ayoola
International Journal of Industrial Engineering and Engineering Management Vol. 7 No. 1 (2025)
Publisher : Universitas Atma Jaya Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24002/ijieem.v7i1.7778

This paper proposes three methods for the joint optimization and selection of parameters in controlling the exhaust emission from logistics and packing industries, using the Taguchi-VIKOR, Taguchi-Pareto-VIKOR, and Taguchi-ABC-VIKOR methods. From the delta values of the Taguchi method, parameters F, E, A, B, C, and D were placed 1st, 2nd, 3rd, 4th, 5th, and 6th with delta values of 59.0066, 7.5263, 7.5261, 0.1150, 0.1113 and 0.1107, respectively. The delta ratio, delta variability, mean delta value and median delta value are 58.8959, 12.3993, and 3.8206, respectively. Furthermore, the optimal parametric setting is A1B1C1D1E1F1, which means 52 million dollars for revenue, 127 billion packing units, 0.77 optimal growth rate, 1.5 units of materials, 5581 kilotons of quantity consumed and 1 unit of carbon dioxide equivalent of packing materials. The methods are the cornerstone for evaluating the high-performing packing factor associated with greenhouse gas emissions and concurrently obtaining optimized values for packing enterprises to reduce emissions. Besides, and differently from earlier studies, methods such as Pareto, ABC, and VIKOR differentiate the alternative coupled Taguchi methods proposed in the literature. In addition, the following novel elements of the Taguchi method are introduced: Delta ratio, delta variability, mean delta value, delta/HOPV, delta/LOPV, and delta/AOPV. The results suggest that the developed methods adequately represent the optimized values and ranks obtained using the field data set from literature.

Aspect Ratio-based Taguchi Method with An Application to the Friction Stir Welding of AA6062-T6 Alloy Francis, Osita Prince; Ogunmola, Bayo Yemisi; Alozie, Nehemiah Sabinus; Oluwo, Adeyinka; Rajan, John; Jose, Swaminathan; Oke, Sunday Ayoola; Ibitoye, Ayomide Sunday
International Journal of Industrial Engineering and Engineering Management Vol. 7 No. 1 (2025)
Publisher : Universitas Atma Jaya Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24002/ijieem.v7i1.7885

This research proposes a new method of modified Taguchi method based on aspect ratios of the parameters integrated with the present worth method for the determination of optimal parametric setting during the friction stir welding process. As a cornerstone feature in the optimization procedure, aspect ratios are uniquely formulated where single parameters are replaced with products of parameters, squares of a particular parameter multiplied by a parameter, and only squares of each parameter information that represent inputs for the determination of the orthogonal matrix, heading to the optimal parametric setting computations, ranks, and delta determination. A wide range of 83 formulations was considered. Unlike previous research, this article accounts for multiple combinations of aspect ratios greater than the members of parameters present in the factor-level framework in the traditional setting of the Taguchi scheme. A principal result reveals that when the parameters were interchanged from A, B, and C to ABC, A2C, A2 B, A2, B2, and C2, indicating tool till angle, tool rotational speed, and welding speed for A, B and C, respectively, the optimal parametric setting was 462000 (0.rpm.mm/min), 990 (0.mm/min), 12600 (0.rpm.90), 1960000rpm, 12100mm/min2. The result assists welding engineers in implementing optimal decisions during friction stir welding activities. The findings of this study stimulate welding engineers to establish sources of poor-quality welds and optimize the outputs while reducing welding costs.

Green Supplier Evaluation and Selection in the Manufacturing Industry Using the Taguchi-VIKOR Methods Adedeji, Wasiu Oyediran; Olowu, Joseph Kolawole; Adeniran, Mofoluwaso Kehinde; Oyelami, Seun; Adeboye, Busayo; Rajan, John; Jose, Swaminathan; Benrajesh, Pandiaraj; Oke, Sunday Ayoola
International Journal of Industrial Engineering and Engineering Management Vol. 7 No. 1 (2025)
Publisher : Universitas Atma Jaya Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24002/ijieem.v7i1.7778

This paper proposes three methods for the joint optimization and selection of parameters in controlling the exhaust emission from logistics and packing industries, using the Taguchi-VIKOR, Taguchi-Pareto-VIKOR, and Taguchi-ABC-VIKOR methods. From the delta values of the Taguchi method, parameters F, E, A, B, C, and D were placed 1st, 2nd, 3rd, 4th, 5th, and 6th with delta values of 59.0066, 7.5263, 7.5261, 0.1150, 0.1113 and 0.1107, respectively. The delta ratio, delta variability, mean delta value and median delta value are 58.8959, 12.3993, and 3.8206, respectively. Furthermore, the optimal parametric setting is A1B1C1D1E1F1, which means 52 million dollars for revenue, 127 billion packing units, 0.77 optimal growth rate, 1.5 units of materials, 5581 kilotons of quantity consumed and 1 unit of carbon dioxide equivalent of packing materials. The methods are the cornerstone for evaluating the high-performing packing factor associated with greenhouse gas emissions and concurrently obtaining optimized values for packing enterprises to reduce emissions. Besides, and differently from earlier studies, methods such as Pareto, ABC, and VIKOR differentiate the alternative coupled Taguchi methods proposed in the literature. In addition, the following novel elements of the Taguchi method are introduced: Delta ratio, delta variability, mean delta value, delta/HOPV, delta/LOPV, and delta/AOPV. The results suggest that the developed methods adequately represent the optimized values and ranks obtained using the field data set from literature.

Aspect Ratio-based Taguchi Method with An Application to the Friction Stir Welding of AA6062-T6 Alloy Francis, Osita Prince; Ogunmola, Bayo Yemisi; Alozie, Nehemiah Sabinus; Oluwo, Adeyinka; Rajan, John; Jose, Swaminathan; Oke, Sunday Ayoola; Ibitoye, Ayomide Sunday
International Journal of Industrial Engineering and Engineering Management Vol. 7 No. 1 (2025)
Publisher : Universitas Atma Jaya Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24002/ijieem.v7i1.7885

This research proposes a new method of modified Taguchi method based on aspect ratios of the parameters integrated with the present worth method for the determination of optimal parametric setting during the friction stir welding process. As a cornerstone feature in the optimization procedure, aspect ratios are uniquely formulated where single parameters are replaced with products of parameters, squares of a particular parameter multiplied by a parameter, and only squares of each parameter information that represent inputs for the determination of the orthogonal matrix, heading to the optimal parametric setting computations, ranks, and delta determination. A wide range of 83 formulations was considered. Unlike previous research, this article accounts for multiple combinations of aspect ratios greater than the members of parameters present in the factor-level framework in the traditional setting of the Taguchi scheme. A principal result reveals that when the parameters were interchanged from A, B, and C to ABC, A2C, A2 B, A2, B2, and C2, indicating tool till angle, tool rotational speed, and welding speed for A, B and C, respectively, the optimal parametric setting was 462000 (0.rpm.mm/min), 990 (0.mm/min), 12600 (0.rpm.90), 1960000rpm, 12100mm/min2. The result assists welding engineers in implementing optimal decisions during friction stir welding activities. The findings of this study stimulate welding engineers to establish sources of poor-quality welds and optimize the outputs while reducing welding costs.

Integration of Fuzzy 0/1 Knapsack Dynamic Programming and PROMETHEE Method for Vehicle Exhaust Emission Parametric Optimization and Selection in the Packing Industry Agada, Alexander Iwodi; Rajan, John; Jose, Swaminathan; Oke, Sunday Ayoola; Benrajesh, Pandiaraj; Oyetunji, Elkanah Olaosebikan; Adedeji, Kasali Aderinmoye
International Journal of Industrial Engineering and Engineering Management Vol. 6 No. 2 (2024)
Publisher : Universitas Atma Jaya Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24002/ijieem.v6i2.7689

Packaging industries fabricate and transport products in wrapped, sealed, and cushioned containers and boxes on roads, often through fossil-fuelled vehicles that emit carbons. Thus, decarbonization and net zero emission drive are compelling for these vehicles. This paper proposes a robust green logistics interaction model for monitoring and reducing exhaust pipe emissions in an uncertain environment. It uses a hybrid method known as fuzzy-0/1-KDP-PROMETHEE (Fuzzy-0/1 Knapsack dynamic programming-Preference Ranking Organization Method for Enrichment Evaluation) approach to concurrently reduce uncertainty, optimize the capacity of the knapsack and establish the preferred option among the parameters of green logistic. Both PROMETHEE I and II were introduced and tested using logistics data from an Indian environment based on secondary data. The method works by first reducing the effect of uncertainty on the model outcomes. This was achieved by establishing the output space as the fuzzy state, creating fuzzy rules, and mapping degrees to rules. Then, the degrees are used to maximize, ensuring that the weighted sum is not greater than the capacity of the Knapsack. The outcome is then regarded as the element of the green logistics exhaust emission process. The results obtained from the analysis, using the replacement of fuzzy expert (triangular) with fuzzy extent (trapezoidal), fuzzy geometric mean (triangular), and fuzzy geometric mean (trapezoidal) reveal that the fuzzy-0/1-KDP-PROMETHEE method adequately represents the score obtained using the data set from the exhaust emissions.

Optimizing the Parameters of Carbon Fiber Reinforced Plastic Composite Drilling Process Using Signal-to-noise Ratio-based Grey Wolf Optimization Algorithm Taiwo, Emmanuel Oluwatobi; Oke, Sunday Ayoola; Rajan, John; Jose, Swaminathan; Oyetunji, Elkanah Olaosebikan; Adedeji, Kasali Aderinmoye
International Journal of Industrial Engineering and Engineering Management Vol. 6 No. 1 (2024)
Publisher : Universitas Atma Jaya Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24002/ijieem.v6i1.7691

This study aims to develop an optimization scheme that contributes to the production of carbon fiber-reinforced plastics using the grey wolf optimization approach. Different from other optimization schemes such as the Taguchi method, which takes some time to compute and use, this grey wolf optimization approach introduced a fast convergence scheme to reduce computation time thereby making its implementation in the factory very interesting. Data used for the analysis was obtained from a doctoral thesis via an experimental approach. Four responses were considered in this work, namely the torque, delamination at entry and exit, eccentricity and thrust force. A spreadsheet was used to implement the computational procedure of the grey wolf optimization algorithm. In using the wolves, at the initial level, the starting point was a zero where hunting had not begun and the prey had just entered the park, which is within the territory of the grey wolves. With this in mind, real life is mimicked and such data gathered would aid precise decision-making. The results revealed the feasibility of the approach and convergence was obtained at the tenth iteration with the best fitness value at 9020785071. It is expected that the findings from this work will be useful as a method for planning in production planning and policy development for the carbon fiber-reinforced plastic industry. This study is a noteworthy contribution to the production development of CFRPs where the grey wolf algorithm is used to analyze the problem. In addition, evidence of the responses determining the quality of drilled products is provided.

Low Wear Rate Selection of Nylon 6-Boron Nitride (PA6/BN) Composite During Composite Development Using Grey Relational Analysis Through the Direct and Indirect Factors of Taguchi Method Adekoya, Abdulganiyu Adegboyega; Rajan, John; Jose, Swaminathan; Oke, Sunday Ayoola; Aderibigbe, Samuel Bolaji; Odudare, Samson Oluwaseun
International Journal of Industrial Engineering and Engineering Management Vol. 6 No. 1 (2024)
Publisher : Universitas Atma Jaya Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24002/ijieem.v6i1.7734

Wear performance has been evaluated for mechanical equipment using normal load, sliding speed, and sliding distance, but aspect ratios have been traditionally ignored in the literature. Also, limited studies have analyzed wear performance with sparse information. In this study, a grey relational analysis (GRA) technique is proposed for the wear performance analysis of nylon 6/boron nitride composite using aspect ratios. A complete divergence is made from the literature where the aspect ratios of the particulate weight of the composite, normal load, sliding speed, and sliding distance are treated in direct and aspect ratios of 12 cases where the reciprocals of factors, their squares and cubes are considered. Results show that the proposed method of GRA is feasible and offers an adequate illustration of the indices of the parameters of the wear process as opposed to the present method of Taguchi that exists in the literature. A key result is from case 2, which shows that experimental trial 9 with the grey relational grade of 1.00 has the lowest wear rate. The corresponding values of the parameters are 0.05 of the 1/NL parameter, while the SD parameter is 500. This is interpreted as 0.05N-1 of the reciprocal of normal load and 500m for the sliding distance. The principal contribution of this research is the introduction of the grey relational analysis to reduce the wear rate of nylon 6-boron nitride composite. The proposed method is useful as a planning tool for the maintenance engineer to monitor the health of equipment in practice.

Vehicle Exhausts Emission Pattern Decisions for Logistic Services and Packing Industries with Orthogonal Array-Based Rough Set Theory Agada, Alexander Iwodi; Oke, Sunday Ayoola; Rajan, John; Jose, Swaminathan; Benrajesh, Pandiaraj; Oyetunji, Elkanah Olaosebikan; Adedeji, Kasali Aderinmoye
International Journal of Industrial Engineering and Engineering Management Vol. 5 No. 2 (2023)
Publisher : Universitas Atma Jaya Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24002/ijieem.v5i2.7740

Precise monitoring of vehicle emissions in green logistics, focusing on the contributions of vehicles from packing industries, is crucial for many issues. It helps to understand the total emissions and gain insights into the mechanism of vehicle-associated environmental concerns. Notwithstanding, a key issue when monitoring vehicle emissions is the effective discrimination problem for different patterns generated from the parameters. Data from the packing industry are available from distribution networks but its pattern cannot be discriminated. Given this background, this article presents a new method of the orthogonal array-based rough set to discern patterns of the parametric behaviors to monitor emissions from vehicle exhausts in the packing industry. The proposed method is based on an Indian logistics network and delivery system data, which was obtained from previous work in the literature. By setting controls on the parameters of the packing industry which includes revenue obtained, packing units sold, growth rate, carbon-dioxide equivalent, materials utilized, and quantity consumed, the method was able to discern the patterns of the parametric behavior. The orthogonal arrays, which are developed, form factors (parameters) and levels to ascertain a balanced and uniform analysis of the various groups of options. Indiscernibility and approximation concepts of fuzzy sets are then applied to arrive at the outcome. Unlike previous studies, this study eliminates the need for tracking data, assumptions, and external information to establish the set membership. However, it utilizes the available information within the data. The rough set analysis indicates that there are no discernable patterns or rules that distinguish between "Yes" and "No" decisions. The method of rough set illustrated in this work shows the feasibility of the approach in the Indian packing industry. The method is useful for the logistics manager and government agencies responsible for the control of vehicle-generated greenhouse emissions.

Application of Data Envelopment Analysis for Performance Efficiency Evaluation of Oil Palm Empty Bunch Fruit Composites in The Aerospace Industry Udoibe, Ndifreke John; Oke, Sunday Ayoola; Ayanladun, Chris Abiodun; Rajan, John; Jose, Swaminathan; Adeyemi, Olusola Michael; Oyetunji, Elkanah Olaosebikan; Adedeji, Kasali Aderinmoye
International Journal of Industrial Engineering and Engineering Management Vol. 5 No. 2 (2023)
Publisher : Universitas Atma Jaya Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24002/ijieem.v5i2.7741

In this study, we propose the data envelopment analysis method as a scheme to determine the technical efficiency of a set of parametric inputs of the water absorption process when developing the oil palm particulate composite treated with an alkali solution. Although alkali-treated oil palm bunch composites have been analyzed previously for water absorption, a single parameter such as water absorption rate prevails in analyses. Unfortunately, multiple inputs and multiple outputs have been ignored and the efficiency evaluation of such composites has been missing in the literature. To address this gap, the present study exploits the linear programming theory and formulated models for each decision-making unit and solves that formulation for optimum value determination for inputs of the composites. This study investigates the technical efficiency of the water absorption in the oil palm empty fruit bunch composite development process. Overall, judging the performance of the parameters regarding the frequency of attaining 100% efficiency, analysis was performed on the average performance of all parameters in all sixteen scenarios. In this regard, the efficiency of particulate loading was 36.1%, for composite weight plus mold, it was 96.3% and for initial weight, the average efficiency score was 67.8%. It is suggestive that composite weight plus mold with an average efficiency of 96.3% is the best parameter while particulate loading with 36.1% is the worst parameter. Thus result is consistent with the result based on each scenario. From the perspective of DMUs, DMU11 with a score of 78.4% is the best ranking unit while DMU14 is the work ranking unit with an efficiency score of 60.9%. Besides, the average efficiency score for all the DMUs is 66.7%. The work is important to composite development engineers and for policy decision-making.

Title

Found 22 Documents
Search

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Title Search

Found 22 Documents Search

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Title

Found 22 Documents
Search