Artificial Intelligence-Based Optimal Control Method for Energy Saving in Food Supply Chain Logistics Transportation

2020 ◽  
Author(s):  
Sun Gui-E ◽  
Sun Jian-Guo
Keyword(s):  
Artificial Intelligence ◽  
Optimal Control ◽  
Supply Chain ◽  
Energy Saving ◽  
Food Supply ◽  
Control Method ◽  
Food Supply Chain ◽  
Supply Chain Logistics ◽  
Optimal Control Method

Artificial Intelligence and Its Applications in Agriculture With the Future of Smart Agriculture Techniques

2021 ◽  
pp. 25-39
Author(s):  
Harshit Bhardwaj ◽  
Pradeep Tomar ◽  
Aditi Sakalle ◽  
Uttam Sharma
Keyword(s):  
Artificial Intelligence ◽  
Supply Chain ◽  
Food Supply ◽  
Food Supply Chain ◽  
Wide Range ◽  
The World ◽  
The Future ◽  
Entire Society ◽  
Smart Agriculture ◽  
Growing Conditions

Agriculture is the oldest and most dynamic occupation throughout the world. Since the population of world is always increasing and land is becoming rare, there evolves an urgent need for the entire society to think inventive and to find new affective solutions to farm, using less land to produce extra crops and growing the productivity and yield of those farmed acres. Agriculture is now turning to artificial intelligence (AI) technology worldwide to help yield healthier crops, track soil, manage pests, growing conditions, coordinate farmers' data, help with the workload, and advance a wide range of agricultural tasks across the entire food supply chain.

scholarly journals Increasing the effectiveness of food supply chain logistics through digital transformation

2021 ◽  
Vol 12 (6) ◽  
pp. s677-s701
Author(s):  
Kristina Sermuksnyte-Alesiuniene ◽  
Zaneta Simanaviciene ◽  
Daiva Bickauske ◽  
Stefaniia Mosiiuk ◽  
Iryna Belova
Keyword(s):  
Supply Chain ◽  
Food Supply ◽  
Structured Interviews ◽  
Food Supply Chain ◽  
Case Study Methodology ◽  
Supply Chain Logistics ◽  
Fresh Food ◽  
Food And Beverage ◽  
Study Methodology ◽  
Document Review

During the COVID-19 crisis, there were many restrictions to transportation. Due to that, a significant disruption in the food supply chain has emerged. The transportation of the fresh food and maintaining the quality, from farm to the table or distributing and then collecting from the warehouses and delivering to the consumer, has become crucial. Technologies and especially IoT, have become the primary tool to fight it. The research objective is to analyze and create new knowledge about digital technologies used to improve and make more effective the food supply chain processes. An exploratory case study methodology helps to investigate a large consortium based on IoT technologies, implemented in pilot cases on farm level and measuring their performance over the period of four years. This is an interpretative study, and the method of semi-structured interviews and document review for collecting the data was used. The results show IoT-connected sensors and systems in food and beverage supply chain logistics offer real-time visibility and data-driven analytics, allowing stakeholders to improve performance, cut operating costs, conduct predictive maintenance to avoid downtime, and even decrease energy usage or reduce negative environmental impacts.

A Class of Optimizations and Energy-Saving Application

2011 ◽  
Vol 135-136 ◽  
pp. 10-14
Author(s):  
Fu Lai Yao ◽  
He Xu Sun
Keyword(s):  
Optimal Control ◽  
Energy Saving ◽  
Control Method ◽  
Minimum Energy ◽  
Energy Optimization ◽  
Total Load ◽  
Optimal Control Method ◽  
Optimal Value

This paper presents a class of optimization functions, and gives the optimal value. The optimal conclusion is applied to energy optimization for general devices. When the total load is fixed and the devices are used with same model, the optimal control method is given: adjusting each device to the same load, the minimum energy is required.

Optimal Control and Energy-Saving Analysis of Common Pressure Rail Architectures: HHEA and STEAM

2020 ◽  
Author(s):  
Jacob Siefert ◽  
Perry Y. Li
Keyword(s):  
Optimal Control ◽  
Energy Saving ◽  
Degrees Of Freedom ◽  
Control Method ◽  
Optimal Operation ◽  
Hydraulic Power ◽  
Additional Energy ◽  
Load Sensing ◽  
Optimal Control Method ◽  
Common Pressure Rail

Abstract In recent years several novel hydraulic architectures have been proposed with the intention of significantly increasing system efficiency. Two of these architectures, Steigerung der Energieefflzienz in der Arbeitshydraulik mobiler Arbeitsmaschinen (STEAM), and the Hybrid Hydraulic-Electric Architecture (HHEA), use a system of multiple common pressure rails (CPRs) to serve the multiple degrees-of-freedom of the machine. The key difference is that STEAM throttles hydraulic power from these rails while HHEA combines electric and hydraulic power to meet actuator demands. As a throttle-less architecture, HHEA is expected to save more energy than STEAM at the expense of added complexity. Therefore, it is useful to quantify this additional energy saving. Both systems have discrete operational choices corresponding to how the CPRs are utilized for each actuator. It is necessary to determine optimal operation for each of these architectures for analysis and fair comparison. Techniques for optimal operation of the HHEA have been developed previously from the Langrange multiplier method. Applying the same optimal control method to STEAM encountered some technical challenge leading to the optimal control algorithm not being able to satisfy certain constraints. The issue is analyzed and solved by adding noise to the optimization. Using this proposed algorithm, case studies are performed to compare the energy-saving potentials of STEAM and HHEA for two sizes of excavators and a wheel-loader performing representative duty cycles. The baseline is a standard load-sensing architecture. Results show that STEAM and HHEA can reduce energy consumption between 35–65% and 50–80% respectively.

Impact of modern Retail over Food Supply Chain Management

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