Investment Decision of Blockchain Technology in Fresh Food Supply Chains Considering Misreporting Behavior DOI Open Access
Zhangwei Feng, Peng Jin, Guiping Li

и другие.

Sustainability, Год журнала: 2023, Номер 15(9), С. 7421 - 7421

Опубликована: Апрель 29, 2023

Effectively managing fresh food supply chains (FFSCs) has long been a big challenge owing to the complexity in practice. Adoption of innovative technologies, blockchain traceability (BT), and cold-chain preservation (CP) technology improve efficiency FFSC management attracted much attention practically academically. Distinct from existing studies, this paper provides specific insight into application these two technologies by taking account their functions restraining misreporting behavior with BT due its transparency improving freshness CP based on investment equipment. With mind, develops game theoretic models identify conditions under which are optimal selection for supplier/retailer. It assumes that retailer is Stackelberg leader supplier follower. The key findings show that: (1) foci eliminate suppliers’ minimize incentive fees, can increase prices promote order quantities demand; (2) only when consumers demonstrate “appropriate” sensitivity freshness, win–win situation be achieved without adoption technology; (3) suppliers not keen invest or circulation time short, while retailers prefer long.

Язык: Английский

Release Strategy of Competing Retailers for Reserved Produce Under the Government's Emergency Reserves With Order Constraints DOI Open Access
Ting Lei, Bin Dan, Yongjun Yuan

и другие.

Managerial and Decision Economics, Год журнала: 2025, Номер unknown

Опубликована: Янв. 22, 2025

ABSTRACT The government establishes an emergency reserve system and releases reserved produce through competing retailers in a fresh supply chain. We study the release strategy of for under government's reserves with order constraints. Our results reveal that are willing to despite intensifying market competition. does not necessarily cannibalize supplies produce; however, constraints on may instead reduce supplies. It can also simultaneously improve or chain performance consumer surplus, bringing “win‐win” “lose‐lose” situation.

Язык: Английский

Процитировано

0

A Rolling Horizon Based Decomposition Algorithm for the Stochastic Logistic Network Problem Considering Perishable Goods DOI
Harol Mauricio Gámez Albán, Christopher Mejía‐Argueta, Thiago Serra

и другие.

Опубликована: Янв. 1, 2025

Язык: Английский

Процитировано

0

Supply Chain Network Resilience Enhancement and Information Dissemination From the Perspective of Complex Network Theory DOI Creative Commons
Qiang Zhou

International Journal of Intelligent Information Technologies, Год журнала: 2025, Номер 21(1), С. 1 - 17

Опубликована: Апрель 12, 2025

This paper analyzes the resilience enhancement and information dissemination of supply chain networks from perspective complex network theory. First, a topology model based on is constructed, key nodes vulnerable links in are identified using structure characteristics such as node centrality connectivity. Then, risk resistance quantitatively evaluated failure simulation connectivity evaluation, an optimization strategy application redundant reconstruction proposed to enhance under external shocks.

Язык: Английский

Процитировано

0

Foundation Models in Agriculture: A Comprehensive Review DOI Creative Commons

Shanbing Yin,

Yongming Xi,

Xun Zhang

и другие.

Agriculture, Год журнала: 2025, Номер 15(8), С. 847 - 847

Опубликована: Апрель 14, 2025

This paper explores the transformative potential of Foundation Models (FMs) in agriculture, driven by need for efficient and intelligent decision support systems face growing global population climate change. It begins outlining development history FMs, including general FM training processes, application trends challenges, before focusing on Agricultural (AFMs). The examines diversity applications AFMs areas like crop classification, pest detection, image segmentation, delves into specific use cases such as agricultural knowledge question-answering, video analysis, support, robotics. Furthermore, it discusses challenges faced AFMs, data acquisition, efficiency, shift, practical challenges. Finally, future directions emphasizing multimodal applications, integrating across food sectors, decision-making systems, ultimately aiming to promote digitalization transformation agriculture.

Язык: Английский

Процитировано

0

Integrated harvest and distribution scheduling of fresh agricultural products for multiple farms using a Q-learning-based artificial bee colony algorithm with problem knowledge DOI

Xiaomeng Ma,

Xujin Pu, Yaping Fu

и другие.

Swarm and Evolutionary Computation, Год журнала: 2025, Номер 95, С. 101957 - 101957

Опубликована: Апрель 20, 2025

Язык: Английский

Процитировано

0

NetwORks and policies: OR to the rescue DOI
Anna Nagurney

Journal of the Operational Research Society, Год журнала: 2025, Номер unknown, С. 1 - 16

Опубликована: Апрель 22, 2025

Язык: Английский

Процитировано

0

Suppliers’ equilibrium carbon abatement investment in the food supply chain network with the government subsidy DOI
Xiaotong Guo, Yong He, Dong Li

и другие.

International Journal of Production Research, Год журнала: 2025, Номер unknown, С. 1 - 23

Опубликована: Май 21, 2025

Язык: Английский

Процитировано

0

A Novel Multi-agent Game-theoretic Model for Cybersecurity Strategies in EV Charging Networks: Addressing Risk Propagation and Budget Constraints DOI

Luanjuan Jiang,

Qianmu Li, Xin Chen

и другие.

Energy, Год журнала: 2025, Номер unknown, С. 136847 - 136847

Опубликована: Май 1, 2025

Язык: Английский

Процитировано

0

A Q-learning-assisted memetic algorithm for joint vehicle scheduling problem for harvesting and transportation in smart agriculture DOI
Xiang Guo, Quan-Ke Pan, Wei Zhang

и другие.

Swarm and Evolutionary Computation, Год журнала: 2025, Номер 96, С. 102007 - 102007

Опубликована: Май 27, 2025

Язык: Английский

Процитировано

0

Equilibrium decisions for complex agricultural supply chains with quality as a strategic variable DOI
Chen Xue, Jun Li, Zhongbao Wang

и другие.

Engineering Optimization, Год журнала: 2025, Номер unknown, С. 1 - 34

Опубликована: Июнь 4, 2025

Язык: Английский

Процитировано

0