A Sustainable Approach to Steel Scrap Recycling and Management (Nigeria as Case Study)

Kingsley Onyekachi Anyanwu, H. O. Nzei, B. C. Agwah, P. C. Eze, Vi Ehirim
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Abstract

This study has considered six steel scrap recycling plants, tagged A, B, C, D, E, F. The production process for each of the plants considered was separately observed and recorded. The investigation report revealed that none of the plant was following the due process involved in modern steel scrap recycling. Hence, a sustainable production flow system, deemed to be effective is proposed in this paper. The production data of each section was collected alongside the manpower and pollution control data. The data were analyzed mathematically using the models developed in this study. From the results obtained, pollution control was least in melting section with pollution control index of 33.8%, and highest in heat treatment with index of 51.9%. Comparatively, pollution control was least (37%) in plant A and highest (50.6%) in plant F. Also, manpower was least (32.4%) in plant A and highest (44.6%) in plant E. Mechanization was least (55.4%) in plant E and highest (73.2%) in plant B. Findings further indicated that melting section was running almost full capacity in Plant E (348 against 350 tons per day) and Heat treatment section was also running almost full capacity (342 against 350 tons per day in Plant C). The rest were running much below their design capacities.
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废钢回收和管理的可持续方法(尼日利亚案例研究)
本研究考虑了六个废钢回收厂,标记为A, B, C, D, E, f。每个工厂的生产过程被单独观察和记录。调查报告显示,该工厂没有一家遵循现代废钢回收的正当程序。因此,本文提出了一个可持续的、被认为是有效的生产流程系统。收集了各区段的生产数据以及人力和污染控制数据。使用本研究中开发的模型对数据进行数学分析。结果表明,熔炼段污染控制程度最低,污染控制指数为33.8%,热处理段污染控制程度最高,污染控制指数为51.9%。相比之下,A厂污染控制最少(37%),f厂污染控制最高(50.6%)。机械化程度在E工厂最低(55.4%),在b工厂最高(73.2%)。调查结果进一步表明,E工厂熔化部门几乎满负荷运转(348人,每天350吨),热处理部门也几乎满负荷运转(342人,每天350吨)。其余部门的运转远远低于其设计能力。
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