Model of multiperiod production-distribution for closed-loop supply chain considering carbon emission and traceability for agri-food products

Rahmi Yuniarti, I. Masudin, A. Rusdiansyah, D. Handayani
{"title":"Model of multiperiod production-distribution for closed-loop supply chain considering carbon emission and traceability for agri-food products","authors":"Rahmi Yuniarti, I. Masudin, A. Rusdiansyah, D. Handayani","doi":"10.1108/ijieom-10-2022-0045","DOIUrl":null,"url":null,"abstract":"PurposeThis study aimed to develop the integration of the multiperiod production-distribution model in a closed-loop supply chain involving carbon emission and traceability. The developed model was for agricultural food (agri-food) products, considering the reverse flow of food waste from the disposal center (composting center) to producers.FindingsThe results indicate that integrating the production and distribution model considering food waste recycling provides low carbon emissions in lower total costs. The sensitivity analysis also found that there are trade-offs between production and distribution rate and food waste levels on carbon emission and traceability.Research limitations/implicationsThis study focuses on the mathematical modeling of a multiperiod production-distribution formulation for a closed-loop supply chain.Originality/valueThe model of the agri-food closed-loop supply chain in this study that considers food recycling and carbon emissions would help stakeholders involved in the agri-food supply chain to reduce food waste and carbon emissions.","PeriodicalId":268888,"journal":{"name":"International Journal of Industrial Engineering and Operations Management","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2023-03-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Industrial Engineering and Operations Management","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1108/ijieom-10-2022-0045","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

Abstract

PurposeThis study aimed to develop the integration of the multiperiod production-distribution model in a closed-loop supply chain involving carbon emission and traceability. The developed model was for agricultural food (agri-food) products, considering the reverse flow of food waste from the disposal center (composting center) to producers.FindingsThe results indicate that integrating the production and distribution model considering food waste recycling provides low carbon emissions in lower total costs. The sensitivity analysis also found that there are trade-offs between production and distribution rate and food waste levels on carbon emission and traceability.Research limitations/implicationsThis study focuses on the mathematical modeling of a multiperiod production-distribution formulation for a closed-loop supply chain.Originality/valueThe model of the agri-food closed-loop supply chain in this study that considers food recycling and carbon emissions would help stakeholders involved in the agri-food supply chain to reduce food waste and carbon emissions.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
考虑碳排放和可追溯性的农产品闭环供应链多周期生产-配送模型
目的研究碳排放和可追溯性闭环供应链中多期生产-配送的集成模型。所开发的模型是针对农业食品(农业食品)产品,考虑到食品垃圾从处理中心(堆肥中心)到生产者的反向流动。研究结果表明,考虑食物垃圾回收利用的生产与配送一体化模式在总成本较低的情况下实现了低碳排放。敏感性分析还发现,在碳排放和可追溯性方面,生产和分配率与食物浪费水平之间存在权衡。研究局限/启示本研究的重点是一个闭环供应链的多周期生产-分配公式的数学建模。本研究中考虑食物回收和碳排放的农业食品闭环供应链模型将帮助农业食品供应链中的利益相关者减少食物浪费和碳排放。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Exploring lean manufacturing drivers for enhancing circular economy performance in the pharmaceutical industry: a Bayesian best–worst approach Assessing the barriers to lean manufacturing adoption in the furniture industry of Bangladesh: a fuzzy-DEMATEL study Managing project intangible risk: socio-technical implications in a “projectified” world “Recover together, recover stronger”: an exploratory literature review on the recovery challenges of creative SMEs following the COVID-19 pandemic and proposed future recommendations Improvement of tensile strength of fused deposition modelling (FDM) part using artificial neural network and genetic algorithm techniques
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1