Agroforestry Biomass Recovery Supply Chain Management: A More Efficient Information Flow Model Based on a Web Platform

IF 3.6 Q2 MANAGEMENT Logistics-Basel Pub Date : 2023-08-23 DOI:10.3390/logistics7030056
Tiago Bastos, Leonor C. Teixeira, J. Matias, L. Nunes
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Abstract

Background: With the increasing societal focus on sustainability and the critical need for innovative energy solutions, this research emphasizes the undervalued biomass originating from waste products of agroforestry activities. The traditional practice of disposing of these waste products through open-air burning has led to environmental challenges and a tragic loss of their inherent energy potential. Methods: This study adopts a multifaceted approach, integrating literature reviews, expert interviews from both the academic and professional sectors, and surveys. The central focus is on understanding supply chain inefficiencies and communication gaps that contribute to waste and addressing them through the Lean philosophy, renowned for its waste reduction benefits. Results: Our research culminated in the development of a unique information management model based on a web application. Additionally, the study provides a theoretical groundwork for an application that backs the proposed model. Conclusions: The presented strategy and web-based model offer promising avenues for managing waste products from agroforestry activities more sustainably and efficiently. This approach not only addresses the environmental issues arising from waste disposal but also taps into the significant energy potential these waste products hold.
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农林生物质回收供应链管理:一种基于Web平台的高效信息流模型
背景:随着社会对可持续性的日益关注和对创新能源解决方案的迫切需求,本研究强调了农林活动废物产生的生物量被低估。通过露天焚烧处理这些废物的传统做法带来了环境挑战,并严重丧失了其固有的能源潜力。方法:本研究采用多方面的方法,结合文献综述、学术界和专业界的专家访谈以及调查。重点是了解导致浪费的供应链效率低下和沟通差距,并通过以减少浪费而闻名的精益哲学来解决这些问题。结果:我们的研究最终开发了一个基于web应用程序的独特信息管理模型。此外,该研究为支持所提出的模型的应用程序提供了理论基础。结论:所提出的战略和基于网络的模式为更可持续、更有效地管理农林活动产生的废物提供了很有前景的途径。这种方法不仅解决了废物处理引起的环境问题,而且挖掘了这些废物所具有的巨大能源潜力。
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来源期刊
Logistics-Basel
Logistics-Basel Multiple-
CiteScore
6.60
自引率
0.00%
发文量
0
审稿时长
11 weeks
期刊最新文献
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