Yuri Merkuryev

Simulation model for supply chain reliability evaluation

Abstract This paper investigates problems related to supply chain risk identification and simulation‐ based risk evaluation. Accordingly, the paper is divided into two logical parts. The first part represents earlier researches about risk recognition within the sphere of supply chains. The distinction between terms “uncertainty” and “risk” is discussed. Based on the predefined supply chain functions, additional risks connected with supply chain reliability are recognized. Then, a conception of simulation‐based risk evaluation approach is discussed. Within the second part of the paper, a numerical example is provided, within which a simplified supply chain system is defined and corresponding risk evaluation is performed.

Advanced river flood monitoring, modelling and forecasting

Abstract The paper presents the state-of-the-art in flood forecasting and simulation applied to a river flood analysis and risk prediction. Different water flow forecasting and river simulation models and systems are analysed. An advanced river flood monitoring, modelling and forecasting approach is introduced. It extends the traditional approach based on modelling river physical processes by integration of different types of models and technologies such as input data clustering and filtering, digital maps of a relief and river terrain, data crowdsourcing, heterogeneous data processing, hydrological models for time scale modelling water flows and geo-simulation, inundation visualisation and duly warning on flooding. A case study on river flow forecasting and simulation for river flood risk analysis and management is given.

Simulation-based planning and optimization in multi-echelon supply chains

In this paper we present a methodology and simulation environment for solving multi-echelon supply chain planning and optimization problems for industries with batch and semi-batch processes. The introduced methodology is aimed to analyze efficiency of a specific planning policy over the product life cycle within the entire supply chain for automated switching from a non-cyclic to cyclic and to optimize the cyclic planning policy for products at the maturity phase. For optimization of a multi-echelon cyclic schedule, the simulation optimization algorithm developed is based on integration of the multi-objective genetic algorithm (GA) and response surface-based local search to improve GA solutions. The comparative analysis of planning policies is based on estimation of the difference between mean values of their total costs by using the Paired-t confidence interval method and evaluation of an additional cost of the cyclic schedule. The simulation environment allows one to describe input data to build the supply chain network and store it in an external file, computing effective planning policies, automatically generating and running a network simulation model, generating production rules for switching from one planning policy to another and optimizing parameters of a multi-echelon cyclic schedule. Finally, a business case is described that illustrates the practical application of the presented methodology.

Optimization of statistical sample sizes in simulation

A new approach to variance reduction for output variables in systems simulation is proposed. It is based on the Bootstrap method and concerns optimization of input and intermediate statistical sample sizes. The simulation structure is described by a computing tree and realized by a wave algorithm. It is shown how to compute a variance of simulation results and to optimize it. Implementation of the discussed approach in reliability studies is provided.

Dynamic Management of Sustainable Development

Dynamic management of sustainable development , Dynamic management of sustainable development , کتابخانه دیجیتال جندی شاپور اهواز

Supply Chain Simulation in the ECLIPS Project

ECLIPS is a European research project addressing the state-of-the-art in supply chain management. It is aimed at minimization of total inventories through the whole supply chain, taking into account a product life- cycle, from its introduction into market, through a maturity phase, and finally to an end-of life phase. In order to achieve this goal, simulation is used intensively in the ECLIPS project. From one hand, it supports supply chain management processes (e.g., optimization and decision making), thus providing conditions for minimization of inventories. From another hand, simulation provides a platform for testing algorithms and tools, being developed within the project. The paper discusses different aspects of using simulation in the ECLIPS project.

Business simulation game for teaching multi-echelon supply chain management

This paper presents a new business game which helps to understand concepts developed in the ECLIPS project of the European Comission. The game provides an insight into different aspects of supply chain management, i.e., general supply chain mechanisms, non-cyclic and cyclic inventory replenishment policies. This allows for people who have no deep notion in this area to better understand project concepts and evaluate their efficiency in practice. Demonstrating concepts in a playful way is considered as more powerful and effective than purely explaining the underlying theory. The paper describes game rules, playing process and provides results of game test sessions.

Business Simulation Game Development for Education and Training in Supply Chain Management

This paper presents a simulation-based business game for training and education in the area of supply chain management. It starts with a short review of existing simulation games used for training and education in supply chain management, which is followed by a brief description of the ECLIPS game that has been developed for providing an insight into various aspects of supply chain management, with opportunity to analyze different supply chain structures and control mechanisms. In particular, the application of the ECLIPS game to comparison of different supply chain inventory management policies, including non-cyclic and cyclic ones, is provided. Also, the paper presents a special computer-aided tool that allows testing and evaluating various scenarios of the ECLIPS game. The method of scenario evaluation is described as well.

Multiple models of information fusion processes: Quality definition and estimation

Abstract Now problems of a multi-criteria quality estimation of models as well as a justified selection of task-oriented models are still not investigated thoroughly enough. The importance of the problems increases when a research object is described not via a single model, but with a set or a complex of multiple models including models from different classes or combined models such as combined analytical-simulation models, logical-algebraic ones, etc. The aforementioned problems are being investigated within the theory of model quality control. The description of main elements of this theory and its applications is the primary goal of the paper.

Information technology focused training in logistics

Recent developments in information technology and telecommunications call for a serious reconsideration of the actual training methods and offer wide opportunities for developing active teaching/training methods. This paper shares the empirical study on developing information technology focused training laboratory for the course Logistics Information Systems. The descriptions of the three implemented laboratories are presented, as well as didactical comments about the outcomes of investigation of the above-mentioned labs are discussed. The developed laboratories give students a new impulse for both understanding of logistics from a technical point of view and developing their hands-on skills. The paper could be considered as experience sharing with colleagues teaching the subject of Logistics.