Simulation Modeling of Supply Chain Using System Dynamics
MAGAZINE №1 (96) February 2020
AUTHORS BAZHINA D.B., LUKINSKIY V.S., NIKOLAEVSKIY N.N.
CATEGORY Simulation modelling
ABSTRACT
The article covers issues of supply chain modeling being an important step in the decision-making process. Logistics and supply chain management consider movement and transition of material flow as well as financial, information and other flows associated with it. The characteristics of a flow must be measured considering the dynamics of the flow movement. This determines the importance of simulation modeling in decision-making support system as the approach involves the implementation of modeling system algorithm functioning in a virtual time environment.
The literature analysis, on the one hand, allowed to conclude that the traditional approach to functioning process characteristics determination involving consistent problem solving on the level of supply chain element, is limited or not reflecting the specifics of real processes where the parameters variability in time is possible. On the other hand, there is lack of specific recommendations on building models based on principles of system dynamics as a simulation modeling tool which allows to consider process characteristics variability. This determines the aim of the research a part of which presents supply chain simulation model illustrating the possibilities of the approach. The results of the work can be used both in practice for industrial enterprises and for future research.
Keywords: simulation modeling simulation simulation model system dynamics supply chain modeling modelling decision support system decision making
Simulation of Dynamic Supply Chains
MAGAZINE №6(89) December 2018
AUTHOR LYCHKINA N.N.
CATEGORY Analytics and reviews Simulation modelling
ABSTRACT
This article explores the possibilities of modern simulation modeling in the tasks of design and supply chain modeling as systems with structural and dynamic complexity, the study of which should be carried out taking into account multiple risk factors and uncertainties, considering and evaluating the efficiency, dynamism, flexibility and adaptability of the SC based on a variety of indicators used in logistic practice. The use of simulation modeling requires the adaptation of modern managerial techniques and approaches used in logistic practice with the technique of simulation modeling . Useful management techniques based on the use of simulation techniques in the analysis and modeling of SCs are considered, as well as methods of constructing conceptual models of the SC and analysis of the SC using simulation modeling, iterative simulation and optimization procedures for integrated research and optimization of the SC.
A review of the capabilities of various simulation paradigms for analyzing SCs and a review of related scientific literature are also being conducted. It is shown in particular that process simulation modeling is effective for describing the network structure and logistic processes in the SC and is actively used in reengineering projects based on SCOR-recommendations. System-dynamic models of adaptive supply chains allow you to study the complex interaction of material, information and financial flows in the SC, to analyze the stability of the SC, to coordinate the business strategy and logistics strategy of the company. Agent-based simulation modeling makes it possible to describe the behavior, processes of cooperation, coordination and inter-organizational interaction of the participants of the SC and reconfigurable network structures of the SC.
Keywords:
Risk Mitigation Strategies for Doing Terminal and Warehousing Businesses: Russian Case Study
MAGAZINE №3 (74) June 2016
AUTHOR PANOVA Y.N., HILMOLA O.-P.
CATEGORY Logistics infrastructure Warehouse Logistics Uncertainty and risk in the supply chain Logistics services market
ABSTRACT
Research work considers the application of modern methods of simulation that create preconditions for controlling the process of dry port development, i.e. making managerial changes and identifying the most stable parameters of the system for the purpose of choosing the optimal alternative scenarios of the project realization in the uncertainty and risks. Based on the systems dynamics simulation, the model is developed, with the help of which the analysis of the reactive, proactive alternatives, as well as their combination for solving the task of the risk mitigation, can be conducted. The outcome of the experiments with the model, such as net present value, discounted payback period, and coefficient of variance, allows identifying the scenario that reduces the impact of risks on these decision-making criteria of investment project efficiency. Additionally, a computer simulation guarantees the capital appraisal of the scenario of the project realization on the ground of the distributed rather than the point estimation of the project performance criteria. This approach complies with the world of project planning and development, where the events occur with a certain probability and rarely turn in a deterministic manner, and, therefore, can be accurately described by the non-deterministic model than from the formula-based point of view. The proposed theoretical and practical implications for the management of risks can help analysts and planning managers in budget decision-making, avoiding unnecessary cost overruns in dry port projects.
Keywords:
Simulation of logistics infrastructure transport hub
MAGAZINE №1 (60) February 2014
AUTHOR KLIMENKO V.V., MOROZOV A.N., PROСENKO O.D.
CATEGORY Logistics infrastructure Simulation
ABSTRACT
The prospects for building an efficient logistics infrastructure at the transport hub (TH). It is shown that this subject is one of the priorities of the implementation of the "Transport Strategy of Russia for the period up to 2030 ." proposed methodology and organizational and methodological approaches to the modeling of competitive options TH logistics infrastructure . It is proved that under conditions of high uncertainty of the environment, determine the behavior of the logistic system specifications, the best approach is to use the tools of system dynamics modeling and simulation.
Keywords:
