Scientific Papers

JOURNAL OF INTERNATIONAL STUDIES


© CSR, 2008-2019
ISSN: 2306-3483 (Online), 2071-8330 (Print)

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Logistical modelling of managerial decisions in social and marketing business systems

Vol. 10, No 3, 2017

 

Oleksandr Velychko

 

Department of Management and Law,

Dnipropetrovsk State Agrarian and Economic University

Ukraine

Email: olvel@ukr.net

 

 

Logistical modelling of managerial decisions in social and marketing business systems

 

Liudmyla Velychko

 

Department of Economy and Management of Enterprise, Dnipropetrovsk National University named after O. Honchar

Ukraine

Email: lyudmilavel@ukr.net

 

 

 

 

 

 

Abstract. Logistical modelling of business systems within the context of mathematical logistics, logistical management, operational research as well as rationalistic provision of logistics at an enterprise have been considered in the article. The research was carried out on the methodological basis which included the authors’ developments and implied conveying familiar knowledge on new objects within the field of linear programming. Scientific novelty concerns the development of categorical toolkit as well as the existing methodical approaches of rationalistic logistics to managerial decisions. Rational areas of using terms “logistical model” and “model of logistics” in business environment have been determined. The authors’ methodology of constructing logistical models in management of separate social and marketing systems of enterprises according to minimization and maximization criteria is presented. Ways of using modelling at not conventional objects of logistical support for managerial decisions have been suggested in the context of studying the moral psychological climate of staff and complex estimation of socioeconomic measures of staff management improvement. The procedure of logistical optimization in the system of distributing and advertising activity of the enterprise has been developed. Approbation of the developed models has been carried out and possibilities for further model’s complication by output data, variables, and limitations under specific practical conditions have been grounded.

 

Received: June, 2017

1st Revision: August, 2017

Accepted: September, 2017

 

DOI: 10.14254/2071-8330.2017/10-3/15

 

JEL ClassificationC61, M12, M19, M30

Keywordslogistical management, support of decisions, model, staff, marketing