Modeling Adaptive Supply Chain Management
MAGAZINE №5 (100) October 2020
AUTHORS ANDRONOV S.A., YARTSEVA A.A.
CATEGORY Simulation modelling Supply chains reliability and sustainability The uncertainty and risks in supply chains Supply chain management
ABSTRACT
Supply chain enterprises operate under the influence of many uncertain factors, such as, for example, fluctuations in demand, instability of supply, competitors' activity, weather conditions, etc. These issues in real supply chains are the responsibility of managers or of a provider firm.
When modeling processes in supply chains, coordination and adaptation functions are taken over by the corresponding blocks of the chain model. This study is devoted to the topical problem of improving the efficiency of the chain, taking into account the factors noted, namely, the study of management models for adaptive supply chains.
Due to the stochastic nature of the supply chain environment, modeling typically uses a simulation approach. Studies have shown that models that do not include self-organization blocks are not able to provide the required quality of management in conditions of uncertainty. Therefore, for adaptation at the operational level, it is proposed to consider the agent model in combination with the most appropriate methods of the automatic control theory. The presence of the human factor in supply chain management implies the presence of inertia inherent in people, which determined the applied principles: "quick response" - inertia and predictive nature when smoothing demand fluctuations to control the level of production, a fuzzy logical conclusion as a "soft" regulation inherent in humans, as well as error control based on the PID controller.
The model implemented in the Anylogic program has shown the effectiveness of applying the considered control methods under conditions of uncertainty and stochasticity of the parameters of the external environment. So, for example, the application of the quick response principle ensures the stability of the chain at the given levels of the studied impacts. So, in particular, in the framework of combined management, the model showed the best result - no more than 10% of outstanding orders. The addition of a continuous inventory control module to the model made it possible to reduce the failure rate by an average of 50%. The greatest effect is achieved as a result of the use of integrated control which takes into account the simultaneous change in the parameters of the chain links.
The considered control algorithms can be tested on empirical data of a specific chain, applied in the development of digital twins of chains, used by the provider as a means of automating the real supply chain management.
Keywords: supply chains uncertainty simulation AnyLogic control theory fuzzy logic
Improving Supply Logistics Efficiency Based on Blockchain Technology
MAGAZINE №3 (98) June 2020
AUTHORS KOLOSOV A.M.
CATEGORY Information technologies in logistics and SCM Simulation modelling Sourcing
ABSTRACT
The economic feasibility of using Blockchain technology in procurement procedures still raises a number of questions for managers and employees of companies that plan to implement this technology to solve the problems of departments involved in procurement activities. A number of Russian and foreign works devoted to application of Blockchain technology in the given direction in any way do not touch a question of economic substantiation of using this technology, though point at perspective of its application. The work reviews existing information decisions on the basis of Blockchain technology in the field of logistics and supply chain management and calculation of economic efficiency of Blockchain technology use at carrying out purchasing procedures by means of simulating the modeling process of purchases in AnyLogic software environment.
Keywords: Blockchain smartcontract procurement sourcing information technology simulation simulation modelling simulation model AnyLogic
Justification of Service Policy Parameters for Spare Parts Supply Using Agent-based Simulation
MAGAZINE №3 (92) June 2019
AUTHORS
GOBEDZHISHVILI K.A. - Lecturer, Department of Information Systems and Technologies in Logistics, National Research University Higher School of Economics (Moscow, Russia)
ZAKHODYAKIN G.V. - Senior Lecturer, Department of Information Systems and Technologies in Logistics, National Research University Higher School of Economics (Moscow, Russia)
CATEGORY Logistics service management Simulation modelling Inventory management
ABSTRACT
Russian mining industry experiences a rapid growth providing an attractive market for suppliers of mining equipment. However, it is a customer-dominated market. The customers set stringent requirements for the initial equipment supply, as well as for the after-sale service and spare parts supply. The manufacturers of mining equipment are thus facing the need to rigorously analyze their supply chain, to develop a reasonable customer service policy and to adjust the supply chain to meet the requirements of the service policy. To fulfill the after-sale maintenance requirements, the manufacturers must stock spare parts within the supply chain and to design inventory control policies. This paper presents an agent-based simulation approach for estimation of the supply chain key performance indicators and to explore the service – cost trade-off. The conceptual model and the description of its implementation in Anylogic 8.4 software are provided. A case-study of a global mining equipment manufacturer's branch operating in Russia is described. The model is used to estimate the inventory
control policy parameters required to meet the target customer service level, to compare make-to-order against make-to-stock supply strategies, as well as to explore the service level – cost trade-off.
Keywords:
Logistic Modelling of Bryansk-Vostochnyi Railway Station Functioning
MAGAZINE №6 (77) December 2016
AUTHORS
SECHKEREV A.A. - Senior Lecturer, Operational performance management Chair, Russian Transport Academy opened, Moscow State University of Railway Engineering (MIIT) Emperor Nicholas II (Moscow, Russia)
CATEGORY Logistic infrastructure Simulation modelling
ABSTRACT
The forecasting works on cargo traffic appearance at railway stations is in hand for a long time. The possibility of station processes simulation modelling usage is considered. The main structural objects which are necessary for model creation and their technical parameters are determined. The structure for working in the software program “Anylogic” is developed. The program is configured for different situations forecasting with the possibility to choose the best result. For this purpose the input parameters are inserted into the system. They are train set approach, arrival time, schedule, wotk technology and operations sequence, loading and discharging plan, etc. The analysis of received results with subsequent decision making concerning the further process modelling for necessary results generation is carried out.
The model uses the station technological development effectively, defines the componentwise system load, determines bottlenecks. Moreover, it gives an opportunity to realize concerned processes speed regulation and operation period. It serves as the the element of the scenario forecasting system for the whole region operation. The model optimizes data collection process, regulate required resources (the amount of used railways, the nubner of required fleet of cars, etc.|) and calculates the railway station performance indicators. “Anylogic” software usage allows forecasting of work schedule for the nearest day (and more) with the opportunity to correct and influence the situation rapidly until the required result is achieved
Keywords:
One approach to policy choice of inventory management in supply chains
MAGAZINE №5 (58) October 2013
AUTHOR Pencheva N.L., Kazakov N.I.
CATEGORY Inventory management Simulation
ABSTRACT
An approach to policy choice of inventory management in the design of the supply chain to predict the parameters of the goods and taking into account competitiveness. Demonstrated a practical solution approach based on the simulation program AnyLogic 6.9.0
Keywords:
Improving the functioning of the production company logistics network using simulation
MAGAZINE №5 (64) October 2014
AUTHOR LYCHKINA N.N., GLAZKOV D.N., HORUZHEVSKAYA A.P.
CATEGORY Simulation Corporate logistics industrial companies
ABSTRACT
This article demonstrates how to use the method of simulation modeling in AnyLogic in order to optimize the logistics network of industrial company operating in the industrial gas market. The model detailed basic processes associated with the transport of the product, the service requests of customers and distribution of the product to consumers. Factors were taken into account, bearing the stochastic nature, such as unevenness of production, weather conditions that affect the level of demand, the number of failures of vehicles, vehicle repair time. On the developed model, a number of scenario studies, which identified the optimal values of the control parameters of a logistics network: the number of rolling stock, additional storage capacity, minimizing the loss of the deficit and the lack of free rolling, leading ultimately to lower total cost of ownership (TCO) .
Keywords:
Designing logistics infrastructure interregional multimodal logistics center with application simulation
MAGAZINE №5 (64) October 2014
AUTHOR LYCHKINA N.N.
CATEGORY Simulation Logistics infrastructure
ABSTRACT
The article describes the main problems of Russia's transport infrastructure, and in particular, in the Moscow region. As part of the decision of tasks demonstrates the use of simulation as the most effective tool for testing the design and investment decisions by the example of the construction of the Dmitrov interregional multimodal logistics center.
Keywords:
