Logistics Optimization of Agricultural Products Supply to the European Union Based on Modeling by Petri Nets

Pavlenko, О.; Shramenko, Natalya; Muzylyov, Dmitriy

doi:10.1007/978-3-030-46817-0_69

Cited by 10 publications

(8 citation statements)

References 27 publications

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“…e overcapacity of agricultural products means that if the capacity to produce products is saturated, the products produced will exceed the capacity required by society [20].…”

Section: Comparative Analysis Of Agricultural Productionmentioning

confidence: 99%

Optimization of “Internet +” Agricultural Product Industry Chain Based on Partial Differential Equation Inversion Layer by Layer

2022

Mathematical Problems in Engineering

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With the popularization and maturity of Internet technology, it has become an inevitable trend of agricultural development to transform the way of agricultural development and connect the Internet with agricultural products. The development of “Internet + agriculture” is rearranging the entire agricultural product industry chain and it also affects the direction of agricultural development. In this article, we make full use of Internet technology, aiming at the development status of the agricultural product industry chain, and design a layer-by-layer inversion model based on partial differential equations to construct an “Internet +” agricultural product industry chain optimization system. This research strives to achieve the coupling of hardware infrastructure and software service systems. A system platform consisting of one platform, two modules, five services, and twelve functional submodules is designed, and a layer-by-layer inversion method of partial differential equations is introduced. The optimization of the agricultural product industry chain from the control of the production side and the sales side is realized. On this basis, further analysis of the accuracy of partial differential equations, system response time, greenhouse climate change control, agricultural product production capacity, and brand value are further analyzed. The following five conclusions are drawn: first, the response time of each interface is 1 to 2 seconds and in the interval of 500 milliseconds, the intensive range is the densest, and the system performance is further improved. Second, for the three spatial fractional partial differential equations, the equations used in this system basically achieved the best accuracy results. Third, at 13: 00, the maximum temperature difference between indoor and outdoor is 6.3°C, which is the moment when the outdoor solar radiation is strongest. The average temperature in the greenhouse is higher than that outdoors, and the trend of the two changes is the same. Fourth, after the optimization of the industrial chain, the highest utilization rate of agricultural product production capacity is 97% and the net profit can reach 150%. Fifth, the brand value of agricultural products has increased from 560 million Yuan in 2010 to 3.153 billion Yuan in 2020, and the quality value has achieved rapid growth. The results show that the “Internet +” agricultural product industry chain optimization system in this article has a reasonable structure, stable operation, easy expansion, and strong applicability and further accelerates the process of modern agriculture.

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“…e overcapacity of agricultural products means that if the capacity to produce products is saturated, the products produced will exceed the capacity required by society [20].…”

Section: Comparative Analysis Of Agricultural Productionmentioning

confidence: 99%

Optimization of “Internet +” Agricultural Product Industry Chain Based on Partial Differential Equation Inversion Layer by Layer

2022

Mathematical Problems in Engineering

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“…Under conditions of increased risk, achieving optimal conditions in the supply chain with a certain level of efficiency is possible only with use of digital logistics technologies [4]. The development and implementation of intelligent transport systems with the introduction of integrated transport technologies based on the principles of co-modality are indicated as key areas for the transformation of the European transport system [5].…”

Section: Introductionmentioning

confidence: 99%

“…Therefore, we are developing new approaches to the formation of TDC. Most of the approaches are based on the principles of integrated logistics [1], [2], [4], [6] - [14] and aim to solve problems of improving the efficiency of the delivery process in individual logistics chains as subsystems of the logistics system [9]. The analytical models proposed by the authors of [7], [9], [10], [15] to improve the efficiency of the delivery process by forming a rational technology and structure of the supply chain do not take into account the complex impact of random factors of the process.…”

Section: Introductionmentioning

confidence: 99%

Approach to the Forming of Rational Technology for the Export Cargoes Delivery in Supply Chain on the Principles of Co-Modality

Orda

Nagornyy

Potaman

2023

ETR

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In this article, we propose an approach to the forming of rational technology for the export cargoes delivery in the supply chain on the principles of co-modality in the context of effective interaction of delivery participants, which allows reducing the costs of all them through the optimal use of resources related to delivery and increasing the competitive advantages of products. Taking into account the strengthening of cooperation between road and rail transport, under modern conditions, combined transport within the international transport corridor is proposed as an alternative option to promote cargo flow in the supply chain. As a result of experimental studies carried out on the basis of the simulation model of the delivery process in the Petri Nets, the time characteristics of technological processes under alternative schemes depending on the input parameters of the model have been determined. A comparative assessment of alternative delivery schemes based on mathematical models has made it possible to establish that the rational scheme for the delivery of export cargo from Ukraine to Germany via the Pan-European Corridor III is the Rolling Highway technology, which ensures compliance with the cargo owner's requirements for delivery time and cost established by the contract. The proposed approach is recommended as a tool for making managerial decisions when planning and organising the delivery of export cargoes from Ukraine to the EU countries in order to effectively manage supply chains by minimising the cost of delivery and environmental damage.

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“…Articles (Munisamy et al, 2010;Postan et al, 2016) develop a port planning and operations model for capacity planning, using stochastic processes and queuing theory. There are a number of works that use simulation modelling methods to evaluate and optimize sea transport infrastructure performance (Cimpeanu et al, 2017;Sislioglu et al, 2019;Tomashevskiy et al, 2008;Tomashevskyi et al, 2020;Lapkina et al, 2016a;Lapkina et al, 2016b;Bushuyev et al, 2021;Pavlenko et al, 2020;Turner et al, 2000). A discrete event simulation model for the analysis of bulk carrier unloading and storage of cargo at RUSAL Aughinish Alumina refinery was presented in (Cimpeanu et al, 2017).…”

Section: Introduction and Problem Statementmentioning

confidence: 99%

“…The models based on the Monte-Carlo method and problems concerned with configuration of the project management were studied in (Teslia et al, 2018;Yehorchenkova et al, 2019). Optimization of logistics for the supply of agricultural products was performed in (Pavlenko et al, 2020) using Petri nets. A simulation study of terminal leasing policy and system performance was carried out in (Turner et al, 2000) for evaluating seaport policy alternatives.…”

Section: Introduction and Problem Statementmentioning

confidence: 99%

Multicriteria Approach to Determining the Optimal Composition of Technical Means in the Design of Sea Grain Terminals

et al. 2022

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The main aim of the article is to develop technique for determining the optimal equipment of a sea grain terminal with technical means at the stage of its design. In many works, in order to study the performance of transport systems operating under conditions when the loading level is subject to random fluctuations, the queuing theory methods and random processes are used. However, in a number of cases this approach does not allow to take into account all specifics of the processes that significantly affect sea terminals performance. Also, most of the available studies aim at enhancing a certain single key performance indicator (it can be total costs, performance, income, etc.) to its maximum, provided that the other indicators are within the permissible range of values. However, in many cases, there are more than one key performance indicator which need to be improved. Since the queuing theory and single criterion optimization methods did not allow to achieve the desired results, to study the problem, a technique was introduced based on the combination of simulation modelling and multicriteria optimization methods, which allows us to take into account all the main features of operations at grain terminals. To assess the terminal economic efficiency, the Equivalent Annual Cost indicator was used. The relationship between the cargo unit transshipment cost and the average processing time of consignments is analyzed, provided that the cargo flow intensity is subject to random fluctuations. Using this relationship, a technique for determining the optimal composition of grain terminal equipment was introduced, based upon the multicriteria optimization and simulation modelling methods. The developed technique makes it possible to determine the qualitative and quantitative choice of equipment for a sea grain terminal, taking into account both the cargo transshipment cost and the processing time of consignments. The studies have shown that, with an appropriate choice of the terminal equipment, it is possible to significantly reduce the time of cargo handling due to only a slight increase in the cargo unit transshipment cost.

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Logistics Optimization of Agricultural Products Supply to the European Union Based on Modeling by Petri Nets

Cited by 10 publications

References 27 publications

Optimization of “Internet +” Agricultural Product Industry Chain Based on Partial Differential Equation Inversion Layer by Layer

Optimization of “Internet +” Agricultural Product Industry Chain Based on Partial Differential Equation Inversion Layer by Layer

Approach to the Forming of Rational Technology for the Export Cargoes Delivery in Supply Chain on the Principles of Co-Modality

Multicriteria Approach to Determining the Optimal Composition of Technical Means in the Design of Sea Grain Terminals

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