scholarly journals A decision-support framework for industrial waste management in the iron and steel industry: a case study in Southern Africa

2021 ◽  
pp. 100097
Author(s):  
Yolandi Schoeman ◽  
Paul Oberholster ◽  
Vernon Somerset
Keyword(s):  
Decision Support ◽  
Waste Management ◽  
Southern Africa ◽  
Steel Industry ◽  
Industrial Waste ◽  
Iron And Steel Industry ◽  
Iron And Steel ◽  
Decision Support Framework ◽  
Industrial Waste Management

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.

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.

An AHP for Prioritizing and Selecting Industrial Waste Management Method Case Study: Map Ta Phut Industrial Estate

2016 ◽  
Vol 848 ◽  
pp. 251-254
Author(s):  
Prin Boonkanit ◽  
Seksan Kantharos
Keyword(s):  
Waste Management ◽  
Industrial Waste ◽  
Evaluation Method ◽  
Decision Makers ◽  
Analytic Hierarchy ◽  
Industrial Estate ◽  
Industrial Waste Management ◽  
Decision Structure ◽  
Management Method

The objective of this paper is to present an evaluation method that can aid decision to prioritize and select industrial waste management method. An Analytic Hierarchy Process (AHP) decision structure approaches to measure the relative desirability of disposal alternatives using value judgments as the input of the various stakeholders. The novel of this paper is a flexible analytical program that enables decision makers to find the best possible industrial waste management solution to complex problems by breaking down a problem into a systematic hierarchy structure among the various levels and attributes. The process of the evaluation method has been started from analyzing various factors which are used for designs the decision making structure.It is included with necessary data for consideration of management alternatives design that comprised of the technology, economics, environment, and also related regulations. The benefits of this method therefore may not only aid in selecting the best alternative but also help decision makers to understand why an alternative is preferred over the other options. A case study in Industrial Estate Authority of Thailand (IEAT), recommendations, limitations, and further research are also presented.

The Design and Implementation of the Iron and Steel Industry Sales System Based on Business Intelligence

2012 ◽  
Vol 268-270 ◽  
pp. 1657-1660 ◽  
Author(s):  
Hong Bo Ren ◽  
Yu Wang ◽  
Rong Luo ◽  
Ji Min Yu
Keyword(s):  
Decision Making ◽  
Decision Support ◽  
Information Management ◽  
Business Intelligence ◽  
Steel Industry ◽  
Historical Data ◽  
Iron And Steel Industry ◽  
Iron And Steel ◽  
Enterprise Informatization ◽  
Design And Implementation

As the construction of enterprise informatization in the iron and steel industry has increasingly matured, it leads enterprise to accumulate a large number of business data that can not be used effectively. So the enterprise lack of data information for auxiliary decision-making activities. This paper puts forward a construction of the iron and steel industry sales system based on BI. Combining sales information management with decision analysis for integrated solutions can handle daily business, effectively extract and analyze enterprise historical data into useful information which provides decision support for enterprises.

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