scholarly journals Value Stream Mapping as a Supporting Management Tool to Identify the Flow of Industrial Waste: A Case Study

2020 ◽  
Vol 13 (1) ◽  
pp. 91
Author(s):  
Yolandi Schoeman ◽  
Paul Oberholster ◽  
Vernon Somerset
Keyword(s):  
Steel Industry ◽  
Industrial Waste ◽  
Management Tool ◽  
Value Stream Mapping ◽  
First Year ◽  
Iron And Steel Industry ◽  
Waste Generation ◽  
Iron And Steel ◽  
Value Stream

The Value Stream Mapping (VSM) method was applied to a case study in the iron and steel industry in Southern Africa as a supporting management tool to identify, demonstrate, and evaluate industrial waste and comprised of three steps. The first step included collecting and verifying waste generation and flow data as the VSM data input step. The second step comprises three phases: mapping waste generation and fractions and horizontal and vertical performance analysis. The third step is comprised of actual and future state maps compilation. Following the first year of implementation, waste was reduced by 28%, and waste removal cost by 45%. Implementing the VSM method demonstrated cost savings and reduced waste flow within the study’s first year. The initial waste generation reduction target of 5% per annum was exceeded. The VSM method application proved to be a practical method for the iron and steel industry to visualize and analyze waste flows, identify opportunities and challenges in waste management operations, reduce waste, promote lean manufacturing, and achieve an environmentally responsible zero-waste environment.

scholarly journals A Zero-Waste Multi-Criteria Decision-Support Model for the Iron and Steel Industry in Developing Countries: A Case Study

2021 ◽  
Vol 13 (5) ◽  
pp. 2832
Author(s):  
Yolandi Schoeman ◽  
Paul Oberholster ◽  
Vernon Somerset
Keyword(s):  
Decision Support ◽  
Waste Management ◽  
Steel Industry ◽  
Industrial Waste ◽  
Iron And Steel Industry ◽  
Decision Support Model ◽  
Iron And Steel ◽  
Zero Waste ◽  
Support Model

The iron and steel industry is a major global industry that consumes vast quantities of energy and causes environmental degradation through greenhouse gas emissions and industrial waste generation, treatment, and disposal. There is a need to manage complex iron and steel industrial waste in Africa, which requires a system engineering approach to zero waste management as informed by multi-criteria decision-making. The purpose of the current study was to develop a hybrid four-step multi-criteria decision-support model, the i-ZEWATA (Industrial Zero Waste Tiered Analysis). I-ZEWATA acts as a road map to understand, design, assess, and evaluate the iron and steel industrial waste systems with the ultimate objective of moving towards and achieving a zero-waste footprint. The results demonstrate that iron and steel waste can be identified, visualized, prioritized, and managed to promote zero-waste by applying a system-engineered approach. Additionally, relationship patterns to environmental, social, operational, and economic aspects with system behavioral patterns and outcomes were identified. It was clear from the case study in South Africa that, although technology and solution investment is essential, waste management, valorization, and treatment components require a concerted effort to improve industrial waste operational management through effective zero-waste decision-support towards a circular economy.

Mode of circular economy in China's iron and steel industry: a case study in Wu'an city

2014 ◽  
Vol 64 ◽  
pp. 505-512 ◽  
Author(s):  
Shu-hua Ma ◽  
Zong-guo Wen ◽  
Ji-ning Chen ◽  
Zhi-chao Wen
Keyword(s):  
Circular Economy ◽  
Steel Industry ◽  
Iron And Steel Industry ◽  
Iron And Steel

Value stream mapping for identification and assessment of material waste in construction: A case study

2019 ◽  
Vol 37 (8) ◽  
pp. 815-825 ◽  
Author(s):  
Aneetha Vilventhan ◽  
VG Ram ◽  
S Sugumaran
Keyword(s):  
Lean Construction ◽  
Construction And Demolition Waste ◽  
Value Stream Mapping ◽  
Waste Generation ◽  
Demolition Waste ◽  
Construction Waste ◽  
Value Stream ◽  
Waste Minimisation ◽  
Systematic Identification

Construction sites are plagued with numerous problems, such as improper planning and management, high amounts of waste generation and low awareness of waste reduction. Construction and demolition waste literature provides several best practises and prescriptive strategies that help minimise waste during construction. However, it lacks in the systematic identification and minimisation approach of all possibilities of waste. Therefore, studies focusing on principles and tools that help systematically analyse the inefficiencies of on-site processes leading to waste generation and philosophies addressing waste minimisation are necessary. As eliminating waste is one of the key lean principles, this article discusses the need and importance of integrating the lean construction with the construction and demolition waste management. This article aims to estimate and assess the causes of waste generation in a high-rise building construction through a case study in Chennai city (India) using value stream mapping, a key lean construction tool. Onsite monitoring and measurement were performed to quantify the amount of waste generated. A waste generation rate of 66.26 kg m−2 was identified, of which concrete, cement mortar and brick waste represented almost 90% of the total construction waste. Direct observation and interviews of site personnel were conducted to understand the causes of waste generation. A strategic framework has been proposed to improve construction and demolition waste minimisation depicting the synergy of combining lean construction principles with construction and demolition waste management strategies. The proposed framework helps in the systematic identification, assessment and minimisation of on-site construction waste generation.

The case study of furnace use and energy conservation in iron and steel industry

Energy ◽  
2010 ◽  
Vol 35 (4) ◽  
pp. 1665-1670 ◽  
Author(s):  
David Yih-Liang Chan ◽  
Kuang-Han Yang ◽  
Jenq-Daw Lee ◽  
Gui-Bing Hong
Keyword(s):  
Energy Conservation ◽  
Steel Industry ◽  
Iron And Steel Industry ◽  
Iron And Steel
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