Modeling and analysis of a quality traceability framework for phosphate extraction process: evidence from Morocco

Hind Lafquih, Saad Lissane Elhaq, Issam Krimi, Mouna Berquedich
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Abstract

PurposeAccording to United Nations reports, the worldwide population is expected to reach around 9.6 billion by 2050. This forecasting emphasizes the role of phosphate-based fertilizers for developing sustainable agriculture and ensures the demand all over the planet. From this perspective, phosphate companies are racing to improve their industrial performance and guarantee the quality, reliability and integrity of information efficiently. The purpose of this paper is to propose a traceability system framework that ensures product quality tracing and real-time operations monitoring for open-pit mines.Design/methodology/approachThe authors develop a hybrid approach that integrates Business Process Model and Notation techniques with System Modeling Language to formalize several use cases and scenarios to model quality traceability processes related to open-pit mines. This framework also embeds an optimization module based on mathematical modeling approaches to optimize stockpiles’ movement and respect the distinction between different qualities.FindingsThis paper explains a successful implementation of a quality traceability tool for an African mining company. The research team was able to understand and scale down the problem faced by the managers. Further, the study is focused on improving quality tracing over time and automatizing the current compliance processes related to the mine extraction activities. The proposed tool is proved highly effective in reducing the time of tracing quality claims by 46% compared with the manual procedure. Second, the implementation of this tool reduced fuel costs by 34% and CO2 emissions by 10%.Originality/valueThe originality of the contributions lies in four aspects: (1) adapting quality traceability concept for the mining industry; (2) assessing the current trends of traceability systems considering the mining industry context; (3) hybridizing business processes re-engineering, quality system and optimization modeling; and (4) using a real case study of a phosphate company to evaluate the framework.
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磷酸盐提取过程质量可追溯性框架的建模和分析:来自摩洛哥的证据
目的根据联合国的报告,到2050年,全球人口预计将达到96亿左右。这一预测强调了磷酸盐肥料在发展可持续农业方面的作用,并确保了全球的需求。从这个角度来看,磷酸盐公司正在竞相提高其工业性能,并有效地保证信息的质量、可靠性和完整性。本文的目的是提出一个可追溯系统框架,以确保露天矿的产品质量跟踪和实时运营监控。设计/方法论/方法作者开发了一种混合方法,该方法将业务流程模型和符号技术与系统建模语言相结合,以形式化几个用例和场景,为露天矿相关的质量可追溯性过程建模。该框架还嵌入了一个基于数学建模方法的优化模块,以优化库存的移动并尊重不同质量之间的区别。发现本文介绍了一家非洲矿业公司成功实施的质量追溯工具。研究小组能够理解并缩小管理人员面临的问题。此外,该研究的重点是随着时间的推移改进质量跟踪,并使当前与矿山开采活动相关的合规流程自动化。与手动程序相比,所提出的工具在追踪质量索赔的时间减少46%方面被证明是非常有效的。其次,该工具的实施使燃料成本降低了34%,二氧化碳排放量减少了10%。独创性/价值贡献的独创性在于四个方面:(1)将质量可追溯理念应用于采矿业;(2) 考虑到采矿业的背景,评估可追溯系统的当前趋势;(3) 将业务流程再造、质量体系和优化建模相结合;以及(4)使用一家磷酸盐公司的实际案例研究来评估该框架。
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来源期刊
CiteScore
5.60
自引率
12.00%
发文量
53
期刊介绍: In today''s competitive business and industrial environment, it is essential to have an academic journal offering the most current theoretical knowledge on quality and reliability to ensure that top management is fully conversant with new thinking, techniques and developments in the field. The International Journal of Quality & Reliability Management (IJQRM) deals with all aspects of business improvements and with all aspects of manufacturing and services, from the training of (senior) managers, to innovations in organising and processing to raise standards of product and service quality. It is this unique blend of theoretical knowledge and managerial relevance that makes IJQRM a valuable resource for managers striving for higher standards.Coverage includes: -Reliability, availability & maintenance -Gauging, calibration & measurement -Life cycle costing & sustainability -Reliability Management of Systems -Service Quality -Green Marketing -Product liability -Product testing techniques & systems -Quality function deployment -Reliability & quality education & training -Productivity improvement -Performance improvement -(Regulatory) standards for quality & Quality Awards -Statistical process control -System modelling -Teamwork -Quality data & datamining
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