绿色精益六西格玛模型在秘鲁利马的一家花蜜制造公司减少原材料浪费

IF 2.4 Q2 ENGINEERING, INDUSTRIAL
Jorge Enrique Ortiz Porras, Andrei Mijailo Bancovich Erquínigo, Taddy Carolay Candia Chávez, Lisseth Margarita Huayanay Palma, Rosa Karol Moore Torres, Oscar Rafael Tinoco Gomez
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引用次数: 1

摘要

目的:食物浪费是一个潜在的社会问题,其中一个主要原因是食品行业内的操作过程管理不善,这是本研究旨在减少花蜜工厂原料浪费的主要原因。设计/方法/方法:该方法导致了一项实验调查,其中应用了绿色精益六西格玛模型,其基础是使用诸如环境价值流图(E - VSM), DMAIC(定义-测量-分析-改进-控制),Poka Yoke和DOE(实验设计)等工具,获得的数据使用Anderson - Darling和T-Student等测试进行推论统计分析。研究结果:最终的结果是,废物减少了2.23%,相当于大约120公斤有用的原材料,此外,对环境的影响减少了2.2%,废物成本也减少了约5.5%,并使全球生产率提高了2.4%。研究局限性/启示:研究表明,绿色、精益和六西格玛等方法在食品行业的应用在模型应用期间和之后呈现出效益;如预防控制废物,标准化的过程;与持续改进的组织文化相协调,可以显著改善公司当前状态的利益。实践启示:积极的结果支持作者提出的减少农业原料浪费的方法。预期它将成为其他类似组织的一个基准,这些组织力求根据寻求环境上可持续的业务来提高生产力。原创性/价值:这是第一批旨在减少食品加工公司原材料浪费的研究之一,考虑到减轻环境影响的各个方面。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Green Lean Six Sigma model for waste reduction of raw material in a nectar manufacturing company of Lima, Peru
Purpose: Food waste is a latent problem for society, one of the main causes being poor management of the operating processes within the food industry, which is the main reason the present research aimed to reduce raw material waste in a nectar factory.Design/methodology/approach: The methodology led to carrying out an experimental investigation where a Green Lean Six Sigma Model was applied, whose foundation was the use of tools such as Environmental Value Stream Mapping (E - VSM), DMAIC (Define - Measure - Analyze - Improve - Control), Poka Yoke and DOE (Design of Experiments), the data obtained were exposed to an inferential statistical analysis using tests such as Anderson - Darling and T-Student.Findings: As a final result, a waste reduction of 2.23% was obtained, which is equivalent to approximately 120 kg of useful raw material, in addition the environmental impact was reduced by 2.2%, waste costs were also reduced by approximately 5.5% and produced an increase in global productivity by 2.4%.Research limitations/implications: It is shown that the application of methodologies such as Green, Lean and Six Sigma in the food industry present benefits during and after the application of the model; such as preventive control of waste, standardization in processes; benefits that, in coordination with an organizational culture of continuous improvement, can significantly improve the current state of companies.Practical implications: The positive obtained results support the methodology proposed by the authors to reduce the waste of agricultural raw material. It is expected to be a benchmark for other similar organizations that seek to generate greater productivity in line with the search for environmentally sustainable operations.Originality/value: This is one of the first studies that aims to reduce the waste of raw materials in food processing companies, considering aspects of mitigating environmental impact.
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来源期刊
International Journal of Industrial Engineering and Management
International Journal of Industrial Engineering and Management Business, Management and Accounting-Business, Management and Accounting (miscellaneous)
CiteScore
5.00
自引率
17.20%
发文量
22
审稿时长
21 weeks
期刊介绍: International Journal of Industrial Engineering and Management (IJIEM) is an interdisciplinary international academic journal published quarterly. IJIEM serves researchers in the industrial engineering, manufacturing engineering and management fields. The major aims are: To collect and disseminate information on new and advanced developments in the field of industrial engineering and management; To encourage further progress in engineering and management methodology and applications; To cover the range of engineering and management development and usage in their use of managerial policies and strategies. Thus, IJIEM invites the submission of original, high quality, theoretical and application-oriented research; general surveys and critical reviews; educational or training articles including case studies, in the field of industrial engineering and management. The journal covers all aspects of industrial engineering and management, particularly: -Smart Manufacturing & Industry 4.0, -Production Systems, -Service Engineering, -Automation, Robotics and Mechatronics, -Information and Communication Systems, -ICT for Collaborative Manufacturing, -Quality, Maintenance and Logistics, -Safety and Reliability, -Organization and Human Resources, -Engineering Management, -Entrepreneurship and Innovation, -Project Management, -Marketing and Commerce, -Investment, Finance and Accounting, -Insurance Engineering and Management, -Media Engineering and Management, -Education and Practices in Industrial Engineering and Management.
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