A Multi-Objective Constrained Optimization Model for Designing a Green Closed Loop Supply Chain Network in Tax System

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 prob...

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Bibliographic Details
Published in:Industrial Engineering & Management Systems Vol. 20; no. 4; pp. 686 - 694
Main Authors: Sergeevna, SergushinaElena, Valentinovn, KarageziyanMarina, Ivanovna, YatsunovaTatiana, Talyatovna, RustamovaIrada, Nikolaevich, ZhadanVladimir, Vladimirovich, Kabanov Oleg, Anatolievich, GrigoryevAndrey, Lesovik, RuslanV, Khyzhak, NatalyaP, Albertovna, ShereuzhevaMadina, Mikhailovich, UshakovRuslan, Yurevna, KamchatovaEkaterina, Sergeevna, AntonovaIrina
Format: Journal Article
Language:English
Published: 대한산업공학회 01.12.2021
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ISSN:1598-7248, 2234-6473
Online Access:Get full text
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Summary: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. KCI Citation Count: 0
ISSN:1598-7248
2234-6473
DOI:10.7232/iems.2021.20.4.686