Kazan (Volga region) Federal University, KFU
KAZAN
FEDERAL UNIVERSITY
 
A MULTI-OBJECTIVE CONSTRAINED OPTIMIZATION MODEL FOR DESIGNING A GREEN CLOSED LOOP SUPPLY CHAIN NETWORK IN TAX SYSTEM
Form of presentationArticles in international journals and collections
Year of publication2021
Языканглийский
  • Zhadan Vladimir Nikolaevich, author
  • Bibliographic description in the original language Sergushina E.S., Kabanov O.V., Grigoryev A.A., Lesovik R.V., Khyzhak N.P., Shereuzheva M.A., Ushakov R.M., Kamchatova E.Yu., Antonova I.S., Karageziyan M.V., Yatsunova T.I., Rustamova I.T., Zhadan V.N. A Multi-Objective Constrained Optimization Model for Designing a Green Closed Loop Supply Chain Network in Tax System / E.S. Sergushina, O.V. Kabanov, et al., V.N. Zhadan // Industrial Engineering and Management Systems. - 2021. - Vol. 20, Is.4. - P.686-694.
    Annotation 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 con-stant 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.
    Keywords Digitalization System, Small and Medium Business, Economic Entity, Green Supply Chain
    The name of the journal Industrial Engineering and Management Systems
    URL https://www.scopus.com/inward/record.uri?eid=2-s2.0-85123534767&doi=10.7232%2fiems.2021.20.4.686&partnerID=40&md5=30c5900313a576c1055bf6247ba0f364
    Please use this ID to quote from or refer to the card https://repository.kpfu.ru/eng/?p_id=263915&p_lang=2

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