Dynamic Models of Research and Manufacturing System Management

Authors: Mishchenko A.V., Pilyugina A.V. Published: 17.04.2019
Published in issue: #2(125)/2019  
DOI: 10.18698/0236-3933-2019-2-56-75

Category: Informatics, Computer Engineering and Control | Chapter: Management in Social and Economic Systems  
Keywords: dynamic models, research and manufacturing systems, capacity, conveyor systems, uncertainty, marginal profitability

dynamic models, research and manufacturing systems, capacity, conveyor systems, uncertainty, marginal profitabilityThe paper considers dynamic models of resource management in manufacturing systems. Such system operating benefits largely depend on the rational use of resources such as the production apparatus, human resources, borrowed and own funds. The importance of scientific and practical problem of management manifests itself in the aspects of management automation based on the development of mathematical models optimizing the activity in accordance with the selected criteria and allowing obtaining well-founded decisions for the use of production and financial resources. The manufac-turing company management system based on the principles of conveyor processing applications is considered (applications in the broad sense are materials, work in progress, data, documents of computing and information centers, etc.). The equations describing the operation of conveyor systems are presented. The methods of resource allocation based on the criterion of maximizing the total volume of processed applications and the criterion of maximizing the marginal income for the policy period are considered. The application frame of these models for interval parameter settings in the conditions of initial data uncertainty with allowance for the attraction of debt financing is investigated. The analysis of stability of solutions is performed by means of economic and mathematical modeling

The study was supported by RFBR (grant no. 16-06-00143 А)


[1] Vuorenmaa H., Helo P. A method and application for investment evaluation of supply chains in paper industry. IJLSM, 2011, vol. 8, no. 1, pp. 19--46. DOI: 10.1504/IJLSM.2011.037417

[2] Mishchenko A.V. Management models of current assets in a trading company. IJLSM, 2017, vol. 27, no. 3, pp. 283--297. DOI: 10.1504/IJLSM.2017.084467

[3] Babazadeh R., Razmi J. A robust stochastic programming approach for agile and responsive logistics under operational and disruption risks. IJLSM, 2012, vol. 13, no. 4, pp. 458--482. DOI: 10.1504/IJLSM.2012.050158

[4] Foulds L.R., West M., Jin Y. Application of project management in e-procurement. IJLSM, 2008, vol. 4, no. 2, pp. 135--154. DOI: 10.1504/IJLSM.2008.016568

[5] Chiadamrong N., Wajcharapornjinda P. Developing an economic cost model for quantifying supply chain costs. IJLSM, 2012, vol. 13, no. 4, pp. 540--571. DOI: 10.1504/IJLSM.2012.050171

[6] dos Santos F.F.G., Vieira D.A.G., Saldanha R.R., et al. Seasonal energy trading portfolio based on multiobjective optimization. IJLSM, 2014, vol. 17, no. 2, pp. 180--199. DOI: 10.1504/IJLSM.2014.059116

[7] Diopenes R.G., Laptaned U. Supply chain management cost analysis a case study of bio-ethanol production from cassava in Thailand. IJLSM, 2011, vol. 9, no. 3, pp. 296--314. DOI: 10.1504/IJLSM.2011.041690

[8] Moynihan G.P., Saxena P., Fonseca D.J. Development of a decision support system for procurement operations. IJLSM, 2006, vol. 2, no. 1, pp. 118. DOI: 10.1504/IJLSM.2006.008214

[9] Barateiro C.E.R.B., Filho J.R.F., Bordeaux R., et al. Growth, profits and dividends a case study with global and centenary companies acting in the equipment large markets. IJLSM, 2014, vol. 17, no. 2, pp. 143--159. DOI: 10.1504/IJLSM.2014.059114

[10] Nagaraju D., Rao A.R., Narayanan S. Optimal lot sizing and inventory decisions in a centralized and decentralized two echelon inventory system with price dependent demand. IJLSM, 2015, vol. 20, no. 1, pp. 123. DOI: 10.1504/IJLSM.2015.065961

[11] Sandhu M. Project logistics with the dependency structure matrix approach --- an analysis of a power plant delivery. IJLSM, 2006, vol. 2, no. 4, pp. 387--403. DOI: 10.1504/IJLSM.2006.010383

[12] Mishchenko A.V., Vinogradova E.V. Optimizatsionnye modeli upravleniya finansovymi resursami predpriyatiya [Optimization models of management on company financial assets]. Moscow, RIOR Publ., INFRA-M Publ., 2013.