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All Journal International Journal of Industrial Engineering and Engineering Management Borobudur Engineering Review
Adeboye, Busayo
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Automotive Engineering Engineering Industrial & Manufacturing Engineering Mechanical Engineering

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Effect of Heat Loss on the Working Index of Electric Arc Furnace (EAF) Okediran, Iliyasu; Adetunji, Olayide; Adeboye, Busayo; Adefajo, Abdulhafiz
Borobudur Engineering Review Vol 3 No 1 (2023): Industrial Technology Support
Publisher : Universitas Muhammadiyah Magelang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31603/benr.7857

Abstract

Day in day out of human life the use of metal is inevitable, metals are needed for different purposes such as in construction of bridges houses, roads etc. but despite the availability of huge amount of metal, it does not meet the global demand thus this paper investigate the effect of reduction of power of heat loss on the cost of production of electric arc furnace. In order to achieve maximum precision during production, getting product at relatively reduced price has remained a major challenge to the scientists. The experiment was conducted at industrial scale whereby power of heat loss was varied from 7.707- 4.624 MW while energy consumption fell from 0.5463 to 0.5317 MW-Hour per ton and productivity q tremendously increased from 253.0 ton to 254.0 ton per hour . Data used were collected from active furnace in Zerepaves Metallurgical plant, Russia and further analyzed with software package for accuracy
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

Abstract

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.
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

Abstract

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.
Co-Authors Adedeji, Wasiu Oyediran Adefajo, Abdulhafiz Adeniran, Mofoluwaso Kehinde Adetunji, Olayide Benrajesh, Pandiaraj Jose, Swaminathan Oke, Sunday Ayoola Okediran, Iliyasu Olowu, Joseph Kolawole Oyelami, Seun Rajan, John