考虑成熟度窗口和能耗的气候性水果冷藏动态多目标时间-温度管理

IF 5.3 2区农林科学 Q1 ENGINEERING, CHEMICAL

Journal of Food Engineering Pub Date : 2024-10-09 DOI:10.1016/j.jfoodeng.2024.112350

Qian Chen , Jianping Qian , Huibin Li , Xintao Lin , Jiali Li , Zihan Liu , Zhiyao Zhao

{"title":"考虑成熟度窗口和能耗的气候性水果冷藏动态多目标时间-温度管理","authors":"Qian Chen , Jianping Qian , Huibin Li , Xintao Lin , Jiali Li , Zihan Liu , Zhiyao Zhao","doi":"10.1016/j.jfoodeng.2024.112350","DOIUrl":null,"url":null,"abstract":"<div><div>Cold chain logistics (CCL) can effectively maintain the quality and safety of perishable products through low-temperature circulation, but extra energy is densely used at the cost of economy and emissions. The multi-objective trade-off is critical for promoting sustainable time-temperature management (TTM) in CCL. For climacteric fruit in cold storage, the post-harvest ripening process should be controlled by TTM to meet various ripeness requirements of retailers with different distribution distances, market conditions. Meanwhile, randomly appeared order demands will dynamically influence complex sustainable decision-making of temperature-controlled path. Therefore, this paper aims to solve the dynamic multi-objective TTM optimization problem considering ripeness windows and energy consumption, for achieving online sustainable temperature control of climacteric fruit cold storage. Constructing 3D service window involving ripeness, outbound time, and cargo volume, then the multi-retailer satisfaction is designed as a significant optimization objective. Additionally, to improve operational efficiency and reduce environmental impact, energy consumption needs to be minimized under reasonable constraints. Following above objective strategy, a dynamic multi-objective TTM model is proposed with two-stage: 1) improved NSGA-II-based global optimization to find optimal temperature-controlled path for fixed retailers in real-time; 2) new stochastic retailer comes up after demand matching, if accepting order, an update optimization will be triggered. A numerical study was implemented to verify proposed method, with robustness value of 0.82–1. Compared with constant low-temperature storage, the optimized comprehensive loss is the smallest at 3.374. The results indicate that the hybrid-retailer demand-driven multi-criteria decision support is effective and robust for sustainable TTM of climacteric fruit cold chain.</div></div>","PeriodicalId":359,"journal":{"name":"Journal of Food Engineering","volume":"387 ","pages":"Article 112350"},"PeriodicalIF":5.3000,"publicationDate":"2024-10-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Dynamic multi-objective time-temperature management for climacteric fruit cold storage considering ripeness windows and energy consumption\",\"authors\":\"Qian Chen , Jianping Qian , Huibin Li , Xintao Lin , Jiali Li , Zihan Liu , Zhiyao Zhao\",\"doi\":\"10.1016/j.jfoodeng.2024.112350\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>Cold chain logistics (CCL) can effectively maintain the quality and safety of perishable products through low-temperature circulation, but extra energy is densely used at the cost of economy and emissions. The multi-objective trade-off is critical for promoting sustainable time-temperature management (TTM) in CCL. For climacteric fruit in cold storage, the post-harvest ripening process should be controlled by TTM to meet various ripeness requirements of retailers with different distribution distances, market conditions. Meanwhile, randomly appeared order demands will dynamically influence complex sustainable decision-making of temperature-controlled path. Therefore, this paper aims to solve the dynamic multi-objective TTM optimization problem considering ripeness windows and energy consumption, for achieving online sustainable temperature control of climacteric fruit cold storage. Constructing 3D service window involving ripeness, outbound time, and cargo volume, then the multi-retailer satisfaction is designed as a significant optimization objective. Additionally, to improve operational efficiency and reduce environmental impact, energy consumption needs to be minimized under reasonable constraints. Following above objective strategy, a dynamic multi-objective TTM model is proposed with two-stage: 1) improved NSGA-II-based global optimization to find optimal temperature-controlled path for fixed retailers in real-time; 2) new stochastic retailer comes up after demand matching, if accepting order, an update optimization will be triggered. A numerical study was implemented to verify proposed method, with robustness value of 0.82–1. Compared with constant low-temperature storage, the optimized comprehensive loss is the smallest at 3.374. The results indicate that the hybrid-retailer demand-driven multi-criteria decision support is effective and robust for sustainable TTM of climacteric fruit cold chain.</div></div>\",\"PeriodicalId\":359,\"journal\":{\"name\":\"Journal of Food Engineering\",\"volume\":\"387 \",\"pages\":\"Article 112350\"},\"PeriodicalIF\":5.3000,\"publicationDate\":\"2024-10-09\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Food Engineering\",\"FirstCategoryId\":\"97\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0260877424004163\",\"RegionNum\":2,\"RegionCategory\":\"农林科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ENGINEERING, CHEMICAL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Food Engineering","FirstCategoryId":"97","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0260877424004163","RegionNum":2,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, CHEMICAL","Score":null,"Total":0}

引用次数: 0

摘要

冷链物流（CCL）通过低温循环可有效保持易腐产品的质量和安全，但额外能源的密集使用却以经济性和排放为代价。多目标权衡对于促进冷链物流中的可持续时间-温度管理（TTM）至关重要。对于冷库中的气候性水果，应通过时间-温度管理控制采后成熟过程，以满足不同配送距离、市场条件下零售商的各种成熟度要求。同时，随机出现的订单需求会动态影响温控路径复杂的可持续决策。因此，本文旨在解决考虑成熟度窗口和能耗的动态多目标 TTM 优化问题，以实现气候性水果冷库的在线可持续温度控制。构建涉及成熟度、出库时间和货物量的三维服务窗口，然后将多零售商满意度作为重要的优化目标。此外，为了提高运营效率并减少对环境的影响，需要在合理的约束条件下最大限度地降低能耗。根据上述目标策略，我们提出了一个动态多目标 TTM 模型，该模型分为两个阶段：1）基于改进的 NSGA-II 全局优化，为固定零售商实时找到最优温控路径；2）需求匹配后出现新的随机零售商，如果接受订单，则触发更新优化。通过数值研究验证了所提出的方法，其鲁棒性值为 0.82-1。与恒定低温存储相比，优化后的综合损失最小，为 3.374。结果表明，混合零售商需求驱动的多标准决策支持对气候性水果冷链的可持续 TTM 是有效和稳健的。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

Dynamic multi-objective time-temperature management for climacteric fruit cold storage considering ripeness windows and energy consumption

Cold chain logistics (CCL) can effectively maintain the quality and safety of perishable products through low-temperature circulation, but extra energy is densely used at the cost of economy and emissions. The multi-objective trade-off is critical for promoting sustainable time-temperature management (TTM) in CCL. For climacteric fruit in cold storage, the post-harvest ripening process should be controlled by TTM to meet various ripeness requirements of retailers with different distribution distances, market conditions. Meanwhile, randomly appeared order demands will dynamically influence complex sustainable decision-making of temperature-controlled path. Therefore, this paper aims to solve the dynamic multi-objective TTM optimization problem considering ripeness windows and energy consumption, for achieving online sustainable temperature control of climacteric fruit cold storage. Constructing 3D service window involving ripeness, outbound time, and cargo volume, then the multi-retailer satisfaction is designed as a significant optimization objective. Additionally, to improve operational efficiency and reduce environmental impact, energy consumption needs to be minimized under reasonable constraints. Following above objective strategy, a dynamic multi-objective TTM model is proposed with two-stage: 1) improved NSGA-II-based global optimization to find optimal temperature-controlled path for fixed retailers in real-time; 2) new stochastic retailer comes up after demand matching, if accepting order, an update optimization will be triggered. A numerical study was implemented to verify proposed method, with robustness value of 0.82–1. Compared with constant low-temperature storage, the optimized comprehensive loss is the smallest at 3.374. The results indicate that the hybrid-retailer demand-driven multi-criteria decision support is effective and robust for sustainable TTM of climacteric fruit cold chain.

求助全文

通过发布文献求助，成功后即可免费获取论文全文。去求助

来源期刊

Journal of Food Engineering 工程技术-工程：化工

CiteScore

11.80

自引率

5.50%

发文量

275

审稿时长

24 days

期刊介绍： The journal publishes original research and review papers on any subject at the interface between food and engineering, particularly those of relevance to industry, including: Engineering properties of foods, food physics and physical chemistry; processing, measurement, control, packaging, storage and distribution; engineering aspects of the design and production of novel foods and of food service and catering; design and operation of food processes, plant and equipment; economics of food engineering, including the economics of alternative processes. Accounts of food engineering achievements are of particular value.