scholarly journals Digital Technology Empowers Grain Supply Chain Optimization Simulation

Complexity ◽  
2021 ◽  
Vol 2021 ◽  
pp. 1-12
Author(s):  
Xiaoyan Xu ◽  
Zhongye Sun

The issue of the balance of food supply and demand has always been the main issue of national and even world food security. There are many factors that affect food supply and demand, and the factors are interrelated. Therefore, it is necessary to study this complex issue in a systematic way in order to provide a reliable theoretical basis for the country to formulate effective policy measures. Based on the analysis of the current situation of grain supply and demand, this paper uses system dynamics (SD) to carry out digital elevation model (DEM) and latitude correction for land surface temperature (LST). The LST, combined with the normalized difference vegetation index (NDVI), has initially constructed a temperature vegetation dryness index (TVDI) model; it has constructed five subsystems including arable land, production capacity, import, population, and consumption. This paper proposes a food supply chain network construction model from the dimensions of the food supply chain network’s information flow, logistics, and business flow. Through detailed empirical analysis of each subsystem, we judge the development trend of the total grain system, perform operational tests and historical tests on the simulation results of the model to judge the rationality of the model system structure and simulation prediction, and give the simulation results. Finally, based on the forecast results, targeted countermeasures and suggestions are proposed.

2021 ◽  
Vol 14 (2) ◽  
pp. 135
Author(s):  
Javier Arturo Orjuela-Castro ◽  
Juan Pablo Orejuela-Cabrera ◽  
Wilson Adarme-Jaimes

Purpose: The location of actors and production, transformation, commercialization and distribution facilities generate the configuration of the perishable food supply chain (PFSC). The logistics network design (LND) lead to different supply, storage and distribution environments and result in flows, these logistics operations have an impact on the performance of the chain of fresh agricultural products. Specifically, in the PFSC with seasonality, a temporary imbalance between supply and demand is generated, which affects the balance in the flows and affects the losses, costs and response capacity. This research study that problem.Design/methodology/approach: A multi-echelon, multi-objective and multi-product model is established that determines the configuration of the logistics network of the PFSC with seasonally and allows actors to approach efficiency frontiers, which contribute to their permanence in the markets. The model was applied to the case of the perishable fruit supply chain, in a developing country, Colombia. The population information was taken from government surveys and studies, which allowed parameterizing the model.Findings: The application of model permitted to answer the next questions: How does improve the performance from PFSC through logistics network design? And, How the existence of smallholdings in food production and from retail merchants is preserved? In the perishable food supply chain.Social implications: Where the perishable food supply chain actors are located in non-efficient borders and their sustainability may be affected by competition factors, the stakeholders should focus on increasing food availability and reducing losses to improve access and therefore food security.Originality/value: A new model for the logistics network configurations of seasonal perishable fruit supply chain was development, the optimizing from five objectives with two sub-models is obtained, one for surplus and the other for the deficit moments. The model includes real conditions, such as, fruit loss due T0 and RH by different thermal floors and the means used for the transport of fruits in mountain areas at countries in route of development. The impact over the small producers, retailers and consumers in the times of scarcity or surplus was analyzed.


2012 ◽  
Vol 3 (1) ◽  
pp. 45-47
Author(s):  
N.Arunfred N.Arunfred ◽  
◽  
Dr.D.Kinslin Dr.D.Kinslin

New Medit ◽  
2020 ◽  
Vol 19 (1) ◽  
pp. 19-34 ◽  
Author(s):  
Marinos Markou ◽  
Andreas Stylianou ◽  
Marianthi Giannakopoulou ◽  
Georgios Adamides

Unfair Trading Practices (UTPs) between businesses in the food supply chain have a significant impact on the various stakeholders involved, and on the environment. So far, no attempt has been made at the Member State level for the identification of UTPs in the food supply chain and their impact on the relevant stakeholders. This study drew on this gap and attempted to identify the UTPs that exist in the Cypriot food supply chain, assess their impact on the involved stakeholders and provide guidelines that will assist the transposition of EU relevant Directive to the national law. To achieve this goal, the study was based on a quantitative survey of a representative sample of businesses using a specific questionnaire. The results showed that particular UTPs do appear in the food supply chain with a different frequency, while the majority of businesses have been victims of UTPs in the last five years. Notably, the estimated cost of UTPs as a percentage of the business annual turnover is considered important ranging from 5.7% for retailers to 31.9% for farmers. Thus, most participants agree that UTPs in the agricultural food sector should be regulated by national legislation. We argue that the national legislation for UTPs should be a mix of policies that integrate private, administrative and judicial methods of monitoring and enforcement. Policy and decision makers should seek to reinforce the role and the bargaining power of small businesses in the food supply chain. This might be accomplished through the development of efficient producers’ organizations, short food supply chains, interbranch organizations and strategic partnerships.


Author(s):  
Zhaohui Wu ◽  
Madeleine Elinor Pullman

Food supply chain management is becoming a critical management and public policy agenda. Climate change, growing demand, and shifting patterns of food production, delivery, and consumption have elicited a series of new challenges, such as food security, safety, and system resiliency. This chapter first introduces the typical players in a food supply chain and examines the global food system characterized by consolidation and industrialization. It then discusses some critical topics of the sustainable food supply chain that aim to address these challenges. These topics include traceability, transparency, certification and standards, and alternatives to industrialized food systems, including cooperatives, community-supported agriculture, and roles of small and medium-sized growers in regenerative agriculture. The chapter ends with a discussion of several important emerging logistics management topics, including last-mile delivery, new technology, and cold chain management.


Electronics ◽  
2021 ◽  
Vol 10 (11) ◽  
pp. 1223
Author(s):  
Ilianna Kollia ◽  
Jack Stevenson ◽  
Stefanos Kollias

This paper provides a review of an emerging field in the food processing sector, referring to efficient and safe food supply chains, ’from farm to fork’, as enabled by Artificial Intelligence (AI). The field is of great significance from economic, food safety and public health points of views. The paper focuses on effective food production, food maintenance energy management and food retail packaging labeling control, using recent advances in machine learning. Appropriate deep neural architectures are adopted and used for this purpose, including Fully Convolutional Networks, Long Short-Term Memories and Recurrent Neural Networks, Auto-Encoders and Attention mechanisms, Latent Variable extraction and clustering, as well as Domain Adaptation. Three experimental studies are presented, illustrating the ability of these AI methodologies to produce state-of-the-art performance in the whole food supply chain. In particular, these concern: (i) predicting plant growth and tomato yield in greenhouses, thus matching food production to market needs and reducing food waste or food unavailability; (ii) optimizing energy consumption across large networks of food retail refrigeration systems, through optimal selection of systems that can be shut-down and through prediction of the respective food de-freezing times, during peaks of power demand load; (iii) optical recognition and verification of food consumption expiry date in automatic inspection of retail packaged food, thus ensuring safety of food and people’s health.


Author(s):  
Ganjar Alfian ◽  
Muhammad Syafrudin ◽  
Norma Latif Fitriyani ◽  
Jongtae Rhee ◽  
Muhammad Rifqi Ma'arif ◽  
...  

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