Тип публикации: статья из журнала
Год издания: 2015
Ключевые слова: industrial enterprise, warehouse, simulation, discrete-event simulation, optimization, evolutionary algorithm, ExtendSims oft ware package
Аннотация: Simulation is an effective tool, which may be applied for warehouse systems planning and management. Using of simulation is related with development of a computer program and carrying out a series of experiments, allowing to define optimal scenarios of warehousing processes. During the past ten years the concept of simulation optimПоказать полностьюization was developed. Using the concept optimization software is integrated into simulation systems, allowing users to find optimal solutions automatically. A simulation optimization model can be defined as a process of discovering the best set of initial variables of the model for assessment of each of possible solutions, without participation of users. The main objective of simulation optimization modeling of a warehousing system is gaining of information about the system that is critical for efficient decision making regarding minimization of resources used in the warehouse. The article describes a practical case study of building simulation and optimization models for a warehouse of an industrial concrete enterprise. Warehouse system processes are modeled in ExtendSim environment, and enterprise profit is optimized with the use of evolutionary algorithm. The optimization model has been executed by means of Optimizer software integrated into ExtendSim. The modeling purpose is to examine the impact of stock management strategies parameters on warehouse performance and to maximize enterprise profit from product sales. The paper presents the description of the model building process and simulation outputs. The simulation optimization model in ware house activity planning enables to increase the accuracy of accounting of materials and warehouse operations, to reduce the level of warehouse stocks, to reduce costs of material storage, to increase labor productivity in a warehouse and to analyze quantitative indicators of warehouse performance.
Журнал: BIZNES INFORMATIKA-BUSINESS INFORMATICS
Выпуск журнала: Vol. 31, Is. 1
Номера страниц: 41-50
ISSN журнала: 19980663
Место издания: MOSCOW
Издатель: NATL RESEARCH UNIV, HIGHER SCH ECONOMICS