Towards mining 4.0: A novel multi-criteria simulation-optimization fuzzy framework for effective slag utilization overcoming green waste management promotion

IF 13.3 1区管理学 Q1 BUSINESS

Technological Forecasting and Social Change Pub Date : 2025-07-05 DOI:10.1016/j.techfore.2025.124271

Mohammad Shamsi , Mohammad Zakerinejad

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Abstract

The transition to Mining 4.0 requires robust waste management strategies. A critical research gap exists in understanding novel waste utilization techniques and their associated societal implications. This study proposes a comprehensive assessment framework that incorporates criteria of economic, technical, environmental, energy&water, regulations&policy, social, and resiliency. Thirty sustainability indicators were evaluated across nineteen potential slag utilization alternatives. To determine the weights of criteria and indicators, three advanced Fuzzy-Analytical Hierarchy Process (F-AHP) methods including Spherical F-AHP (SF-AHP), interval-valued Pythagorean F-AHP (IVPF-AHP), and randomized weighted F-AHP (RWF-AHP) were compared and the optimal method was identified. Moreover, a novel Fuzzy-Likert Scaling Analysis (FLSA) was proposed to prioritize alternatives. FLSA compared different membership functions (MFs) of triangular, Pythagorean, parabolic, and eighth-order polynomials to find the best MFs. By combining optimized F-AHP, fuzzy-Delphi method (FDM), and FLSA, the framework provides a measurable Slag Management Sustainability Score (SMSS). In a case study examining optimal strategic planning for supplying steel slags, Foolad Mobarakeh Company (FMC) was selected. The most sustainable alternative, “Feed for factories,” achieved an SMSS of 63.633 and 65.049 based on SF-AHP and RWF-AHP, respectively. This framework offers a practical and versatile solution for Mining 4.0, fostering a greener future through sustainable and optimal waste management.

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迈向矿业4.0：一种新的多准则模拟-优化模糊框架，实现矿渣有效利用，克服绿色废物管理的推广

向矿业4.0的过渡需要强有力的废物管理战略。在理解新的废物利用技术及其相关的社会影响方面，存在一个关键的研究缺口。本研究提出了一个综合评估框架，包括经济、技术、环境、能源和水、法规和政策、社会和弹性等标准。对19种潜在的矿渣利用方案进行了30项可持续性指标评价。为了确定标准和指标的权重，比较了球面F-AHP （SF-AHP）、区间毕达哥拉斯F-AHP （IVPF-AHP）和随机加权F-AHP （RWF-AHP）三种先进的模糊层次分析法（F-AHP），并确定了最优方法。此外，提出了一种新的模糊李克特标度分析（FLSA）来确定备选方案的优先级。FLSA比较了三角多项式、毕达哥拉斯多项式、抛物多项式和八阶多项式的不同隶属函数（MFs），以寻找最佳的隶属函数。该框架结合优化后的F-AHP、模糊德尔菲法（FDM）和FLSA，给出了一个可测量的炉渣管理可持续性评分（SMSS）。在考察钢渣供应最佳战略规划的案例研究中，选择了Foolad Mobarakeh公司（FMC）。基于SF-AHP和RWF-AHP，最可持续的替代方案“工厂饲料”的SMSS分别达到了63.633和65.049。该框架为矿业4.0提供了实用和通用的解决方案，通过可持续和优化的废物管理促进更绿色的未来。

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来源期刊

Technological Forecasting and Social Change Multiple-

CiteScore

21.30

自引率

10.80%

发文量

813

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