Analysis of ERP Systems Implementation in the Construction Enterprises
Effective work requires integrated systems that can share access to a common data set. Integrated workplace organizations in the construction company are requiring enterprise resource planning (ERP)-type systems that, in turn, tie together all relevant logistic, facilities, human resource, financial, and project data into a single, shared database. Unfortunately, many ERP systems make things more complex for construction business. The reality is that few ERP systems are vertically integrated for use in construction, and most of them are very complicate and ultimately difficult to implement. In addition, suppliers of ERP systems, for example iScala, SAP, Oracle and etc., must work with consultants and integrators to provide normal systems job after implementation.
The purpose of the research is to identify, investigate, analyze and systematize the factors that can influence creation and functioning of the ERP system in a company and create metodology of ERP system implementation. ERP system modules for construction enterprise were evaluated, benefits and risks of ERP system were summarized.
The aim of this paper is to present a development technique for virtual/constructive simulation of defence applications. The approach relies on the use of V-DEVS methodology providing a modular, hierarchical modelling structure and enabling to effectively synchronize simulation, visualization and user interaction. The practical importance and application possibilities of the research results are demonstrated by developing simulation models of unmanned aerial vehicles and a flexible manufacturing system producing military SUVs.
Modelling Inventory Management System at Distribution Company: Case Study
The paper presents a case study on improving inventory management at the distribution company which operates in Latvia. The case study is focused on application of different modelling approaches in inventory management under uncertain demand, namely inventory models, simulation models and optimization model. The functionality of each model as well as its benefits for the current problem is discussed in the end of the paper.
Yuri Merkuryev, Vladimir Bardachenko and Andrey Solomennikov
Simulation of Pessimism Influence on Choice of Farming Strategy under Uncertainty
Weather-related risks can substantially affect the crop volume depending on time and intensity of agricultural operations performed by the farmer. However, decisions under uncertainty are in some way also liable to another risk - that of excessively optimistic or pessimistic estimation of the decision maker. The paper presents results of optimistic and pessimistic farmer's agricultural operations efficiency based on the analysis of the developed discrete-event stochastic simulation model. The aim of the model is to obtain quantitative estimation of optimistic and pessimistic farmer's choice of agricultural operation strategy efficiency under fluctuation of weather conditions.
This paper summarizes the research in the field of modelling and simulation of complex systems conducted in recent years at the Department of Modelling and Simulation of Riga Technical University under the supervision of the corresponding member of the Latvian Academy of Sciences, Prof., Dr.habil.sc.ing. Yuri Merkuryev (Jurijs Merkurjevs). The main attention is devoted to developments within integrated simulation methodologies that incorporate simulation with other scientific approaches for the analysis, optimisation and management of complex systems, with a special focus on logistics systems. Practical application of the developed methods is considered by referencing to implemented research projects. Future research directions are also discussed.
The paper proposes an approach to solving the problem of optimal placement of data array replicas in a distributed system. It presents a formal model of a distributed system with unreliable communication channels. A system is represented as a graph with coloured arcs. The formulation of the problem of finding the optimal placement of replicas is given. As a criterion for optimization, the minimum response time to a data request is considered. The task solution heuristic algorithm is also proposed in the paper.
Jēkabs Trušiņš, Arnis Lektauers, Yuri Merkuryev and Inese Trusina
The Capabilities of Simulation in Spatial Planning
To facilitate and accelerate the integration of Latvia into the EU the latest strategic and spatial planning methods, as well as practical experience must be acquired. Spatial planning deals with land use issues forming the basis for high quality living environments and sustainable development.
This paper analyses the capabilities of simulation models in the area of spatial planning for training and practice processes in Latvia. On the basis of this analysis a multi-scale, spatially explicit, dynamic modelling framework for local government is developed.
Nadezda Zenina, Andrejs Romanovs and Yuri Merkuryev
The calibration results of transport simulation model depend on selected parameters and their values. The aim of the present paper is to calibrate a transport simulation model by a two-step cluster analysis procedure to improve the reliability of simulation model results. Two global parameters have been considered: headway and simulation step. Normal, uniform and exponential headway generation models have been selected for headway. Application of two-step cluster analysis procedure to the calibration procedure has allowed reducing time needed for simulation step and headway generation model value selection.
Boris Sokolov, Mikhail Okhtilev, Semyon Potryasaev and Yuri Merkuryev
The paper discusses theoretical foundations of a formal description of monitoring and control systems (MTSs) that are used for the monitoring and control of various natural and technological systems (NTSs). The performed state-of-theart analysis has demonstrated that the theory, methods and techniques related to the application of various types of models, such as mathematical, logical-algebraic, logical-linguistic, simulation and combined ones, for describing NTO MCS are widely used. On that basis, a conceptual description of NTO monitoring and control systems is proposed. It is based on a concept of NTO MCS multi-model description. The proposed general model includes particular dynamic models that describe motion control, channel control, operation control, flow control, resource control, operation parameter control, structure dynamic control, and auxiliary operation control of the considered monitoring and control system. The proposed interpretation of NTO MCS structure dynamics control processes provides advantages of applying the modern optimal control theory to NTO MCS analysis and synthesis.