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Sergushina Elena Sergeevna,Kabanov Oleg Vladimirovich,Valentina Sergeevna Kolesnik,Yakovlev Alexander,Kozhukalova Oxana Yurievna,Gurkin Andrey Borisovich,Garankina Rimma Yuiryevna 대한산업공학회 2021 Industrial Engineeering & Management Systems Vol.20 No.2
The aim of this work is to find suitable solutions for the financial activity with various kind of uncertainty. For this purpose, two methods are proposed based on the security and optimal efficacy. In the first method, the rule base uncertainty is considered and a math model is proposed. In the second one, the random function is employed to find the optimal finance options. The article is devoted to the analysis of financial and economic activities of organizations in modern conditions; its essence, main goal and methods are revealed; recommendations for its use in the activities of organizations. In addition, the rule base mathematical model can determine the finance rate of return. The results of experimental calculations also confirmed that the results obtained are acceptable for shares of various issuers and organizations of various fields of activity.
Sergushina Elena Sergeevna,Kabanov Oleg Vladimirovich,Grigoryev Andrey Anatolievich,Ruslan V. Lesovik,Natalya P. Khyzhak,Shereuzheva Madina Albertovna,Ushakov Ruslan Mikhailovich,Kamchatova Ekaterina 대한산업공학회 2021 Industrial Engineeering & Management Systems Vol.20 No.4
The multi-objective constrained model proposed for closed green supply chain in the enterprise development. Small and medium businesses make a significant contribution to the economic life of any country and to the maintenance of employment and economic growth. This paper focuses on the pricing problem of a two-stage closed-loop supply chain (CLSC) considering the cross-channel recycling and channel preference based on a single manufacturer and a single traditional retailer in the digital environment. The article analyzes the indicators of taxation of small and medium-sized businesses in the Republic of Mordovia and draws conclusions about the advantages of using a digitalization system for small and medium-sized businesses. Manufacturer’s pricing decreases when channel preferences are constant and cross-channel recovery rates increase. Retailer’s pricing remains stable as the cross-channel recovery rate has less affected on it. This information will be a helpful guideline for the manager to select suitable pricing strategies based on the company scenario.
Losev Valerii Sergeevich,Panko Iuliia Vladimirovna,Kurina Tatiana Nikolaevna,Sadunova Asya Gevorgovna,Elena Kuznetcova,Kabanov Oleg Vladimirovich 대한산업공학회 2022 Industrial Engineeering & Management Systems Vol.21 No.3
Today, reverse logistics networks are increasingly expanding in various industries due to considering parameters such as environmental conditions, customer awareness, economic savings, social responsibilities, and gaining points such as customer loyalty. In the design of the reverse logistics network, the options of taking parts, repair, recycling, re-production, and disposal can be considered. In this research, an integrated forward/reverse logistics network is mod-eled and an attempt is made to provide a general model and by adding the recycling option to the previous models, to a more general optimization model that includes more recovery options. It is achieved and the network should be optimized in the forward and reverse mode at the same time, taking into account the production of various products, first with the assumption of known demand and return, and then by fuzzing the parameters with uncertainty, as well as the limited capacities of the network centers. To defuzzification of this model, a method based on alpha cut is used for cost coefficients of decision variables and the center of mass method for demand and fuzzy return in the objective function. In fuzzy limits, a method based on the comparison of fuzzy numbers is used. In order to show the application of the Mixed Integer Linear Programming results, several examples have been simulated and coded in GAMS software to obtain accurate answers. In order to solve the model in large dimensions of the problem, a multi-objective genetic algorithm has been developed and coded by MATLAB software. The results of solving the examples in both cases, the exact and near-optimal solutions obtained from the genetic algorithm, have been compared and at the end, the sensitivity analysis of the network has been done. The obtained results show that considering imprecise parameters in a fuzzy manner, firstly, a more realistic model is obtained. Secondly, in examining the answer, due to their connection, the decision maker has unlimited options for the correct decision according to the existing conditions.