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运用牛肉供应链快速评估法衡量牛肉供应链的可持续性。

Measuring the sustainability of beef supply chain with rapid appraisal for beef supply chain.

作者信息

Susanty Aries, Purwaningsih Ratna, Santoso Haryo, Arista Anggun Novi, Tjahjono Benny

机构信息

Department of Industrial Engineering, Faculty of Engineering, Diponegoro University, Tembalang, Semarang, Central Java, 50275, Indonesia.

Centre for Business in Society, Coventry University, Coventry, United Kingdom.

出版信息

Vet World. 2021 Sep;14(9):2488-2507. doi: 10.14202/vetworld.2021.2488-2507. Epub 2021 Sep 23.

DOI:10.14202/vetworld.2021.2488-2507
PMID:34840470
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8613792/
Abstract

BACKGROUND AND AIM

Nationally, there has always been a gap between the demand for beef and its supply, although supply growth is proportional with demand growth and even exceeds it in some regions in Indonesia. This research study aims to measure the sustainability status of the beef supply chain and applies the developed measurement system to a specific beef supply chain by identifying suitable indicators and their scale. Moreover, this research study provides some recommendations for the improvement of the sustainability status of the beef supply chain.

MATERIALS AND METHODS

In this research study, 11 and nine indicators were analyzed to assess the sustainability status of the beef supply chain at the farm and slaughterhouse chain levels. A rapid appraisal for beef supply chain was applied to rapidly assess the sustainability status of beef supply chains using Multidimensional Scaling (MDS). The Delphi method was utilized as an iterative process to collect data and obtain consensus of experts' judgments regarding the policies that should be implemented to improve the most sensitive indicator affecting the economic, social, and environmental dimensions.

RESULTS

Analysis of ordination with MDS shows the regional sustainability index value for multidimensional approaches of beef cattle farms and beef slaughterhouses. The sustainability index value for beef cattle farms was 56.14 (moderately sustainable), 48.02 (fairly unsustainable), and 48.77 (fairly unsustainable) in Semarang, Sragen, and Boyolali, respectively. Moreover, the sustainability index value for beef slaughterhouses was 47.05 (fairly unsustainable), 54.83 (moderately sustainable), and 54.19 (moderately sustainable) in Semarang, Sragen, and Boyolali, respectively. Policy recommendation was focused on the basis of the results of leverage analysis, which highlighted the most indicative factor affecting sustainability for each dimension.

CONCLUSION

Measurement results revealed that the achievement of beef supply chain sustainability requires targeted efforts through the deployment of several policies as the current status of sustainability in beef farms and beef slaughterhouses was only inclined toward moderately sustainable and fairly unsustainable. Although all the surveyed regions in this study can meet the regional needs of beef meat on their own and even distribute the excess to other regions, none of the beef supply chains of the surveyed region indicated good sustainability.

摘要

背景与目的

在全国范围内,牛肉供需之间一直存在差距,尽管供应增长与需求增长成正比,在印度尼西亚的一些地区甚至超过了需求增长。本研究旨在衡量牛肉供应链的可持续性状况,并通过确定合适的指标及其规模,将所开发的衡量系统应用于特定的牛肉供应链。此外,本研究为改善牛肉供应链的可持续性状况提供了一些建议。

材料与方法

在本研究中,分析了11个和9个指标,以评估农场和屠宰场环节牛肉供应链的可持续性状况。采用快速评估法对牛肉供应链进行快速评估,运用多维尺度分析(MDS)来评估牛肉供应链的可持续性状况。德尔菲法被用作一个迭代过程来收集数据,并就应实施哪些政策以改善影响经济、社会和环境维度的最敏感指标达成专家判断的共识。

结果

MDS排序分析显示了肉牛养殖场和牛肉屠宰场多维方法的区域可持续性指数值。三宝垄、斯拉根和博约拉利的肉牛养殖场可持续性指数值分别为56.14(中度可持续)、48.02(相当不可持续)和48.77(相当不可持续)。此外,三宝垄、斯拉根和博约拉利的牛肉屠宰场可持续性指数值分别为47.05(相当不可持续)、54.83(中度可持续)和54.19(中度可持续)。政策建议基于杠杆分析的结果,该分析突出了影响每个维度可持续性的最具指示性的因素。

结论

测量结果表明,牛肉供应链可持续性的实现需要通过部署若干政策进行有针对性的努力,因为目前肉牛养殖场和牛肉屠宰场的可持续性状况仅倾向于中度可持续和相当不可持续。尽管本研究中所有被调查地区都能自行满足当地牛肉需求,甚至将多余的牛肉供应给其他地区,但被调查地区的牛肉供应链均未显示出良好的可持续性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e0a6/8613792/23dc38adff5a/Vetworld-14-2488-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e0a6/8613792/4e90e89e9910/Vetworld-14-2488-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e0a6/8613792/596f2e1618fd/Vetworld-14-2488-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e0a6/8613792/099099541307/Vetworld-14-2488-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e0a6/8613792/fd5c303906d9/Vetworld-14-2488-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e0a6/8613792/23dc38adff5a/Vetworld-14-2488-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e0a6/8613792/4e90e89e9910/Vetworld-14-2488-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e0a6/8613792/596f2e1618fd/Vetworld-14-2488-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e0a6/8613792/099099541307/Vetworld-14-2488-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e0a6/8613792/fd5c303906d9/Vetworld-14-2488-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e0a6/8613792/23dc38adff5a/Vetworld-14-2488-g005.jpg

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