Developing a Control and Management System for Reinforcement Steel-Leftover in Industrial Factories

Maher, Rami A.; Melhem, Nadeem N.; Almutlaq, Mohamad

doi:10.1016/j.ifacol.2019.11.091

Cited by 4 publications

(1 citation statement)

References 9 publications

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“…In contemporary economic activities, industries continue to heavily rely on and extensively use steel [1], which is evident in its incorporation into materials for automobiles, construction, medical purposes, and even the electronics sector. This underscores the significance and versatility of steel [2]. From a business perspective, identifying the potential issues or risks in the production process and proactively implementing effective strategies can mitigate these challenges, thereby reducing material waste and subsequently lowering the operational costs [3].…”

Section: Introductionmentioning

confidence: 99%

Risk Assessment in Sustainable Production: Utilizing a Hybrid Evaluation Model to Identify the Waste Factors in Steel Plate Manufacturing

Lai,

Lin,

et al. 2023

Sustainability

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In the realm of industrial development, steel has consistently played a pivotal role due to its extensive applications. This research aims to refine the process of steel plate manufacturing, focusing on reducing waste as a critical step towards embracing sustainable development and aligning with the Sustainable Development Goals (SDGs). Our approach integrates a hybrid analytical model grounded in Failure Mode and Effects Analysis (FMEA) to thoroughly investigate the waste-producing elements in steel plate production. The methodology of this study is structured in a three-pronged approach, as follows: Initially, it involves meticulous on-site inspections across various factories to pinpoint potential sources of waste. Subsequently, we employ the Decision-Making Trial and Evaluation Laboratory (DEMATEL) method to intricately analyze the interconnectedness and impact of various risk factors. The final phase utilizes the Performance Calculation technique within the Integrated Multiple Multi-Attribute Decision-Making (PCIM-MADM) framework for aggregating and evaluating risk scores. This multifaceted approach aids in establishing the priorities for corrective actions aimed at waste reduction. Our findings present innovative solutions for identifying and mitigating critical waste factors, contributing to a more efficient and sustainable steel manufacturing process. These strategies promise scalability and adaptability for broader industrial applications and provide critical insights into resource optimization. This research directly supports the objectives of SDG 9, which focuses on building resilient infrastructure and promoting sustainable industrialization. Furthermore, it resonates with SDG 12, advocating for sustainable consumption and production patterns. By enhancing the efficiency and cost effectiveness of steel plate production, this study significantly contributes to minimizing waste and elevating the sustainability of industrial practices.

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Section: Introductionmentioning

confidence: 99%

Risk Assessment in Sustainable Production: Utilizing a Hybrid Evaluation Model to Identify the Waste Factors in Steel Plate Manufacturing

Lai,

Lin,

et al. 2023

Sustainability

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A Mixed-Integer Linear Programming Model for the Cutting Stock Problem in the Steel Industry

Morillo-Torres

Baena

Escobar

et al. 2021

Communications in Computer and Information Science

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A mixed-integer linear programming (MILP) model is proposed for solving a one dimension cutting stock problem (1D-CSP) in the steel industry. A case study of a metallurgical company is presented and the objective is to minimize waste in the cutting process of steel bars, considering inventory constraints and the potential use of the resulting leftovers. The computational results showed that an optimal solution was always found with an average improvement in waste reduction of 80%80%. There was no significant difference when comparing results between the complete model and the model without inventory constraints.

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Waste-Based Management of Steel Reinforcement Cutting in Construction Projects

Melhem

Maher

Sundermeier

2021

J. Constr. Eng. Manage.

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Developing a Control and Management System for Reinforcement Steel-Leftover in Industrial Factories

Cited by 4 publications

References 9 publications

Risk Assessment in Sustainable Production: Utilizing a Hybrid Evaluation Model to Identify the Waste Factors in Steel Plate Manufacturing

Risk Assessment in Sustainable Production: Utilizing a Hybrid Evaluation Model to Identify the Waste Factors in Steel Plate Manufacturing

A Mixed-Integer Linear Programming Model for the Cutting Stock Problem in the Steel Industry

Waste-Based Management of Steel Reinforcement Cutting in Construction Projects

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