scholarly journals Green supply chain quantitative models for sustainable inventory management: A review

2021 ◽  
pp. 129544
Author(s):  
Pablo Becerra ◽  
Josefa Mula ◽  
Raquel Sanchis
2013 ◽  
Vol 807-809 ◽  
pp. 2876-2881
Author(s):  
Hsiao Ching Chen ◽  
Yao Hung Hsieh

This paper focuses on the integration and dynamic issues of green supply chain inventory management. The major purpose of this research is to derive optimal inventory policies for players of a supply chain when the integrated joint total cost and profit are optimized globally. The objectives of this paper are to develop mathematical inventory models considering different planning horizons and various issues for fashion product types under the uncertain environment. And in this study we also show the benefits and importance of corporation and information for supply chain numbers.


2019 ◽  
pp. 602-623
Author(s):  
Rui-Yang Chen

From green supply chain perspective of the internet of things, actualization of the IOT into the complex system for green inventory management will link the real world with the digital world seamlessly. Modeling the complex systems in green supply chain can be hard in a computational utilization and inventory management of relationships exists. Two of the problems of IoT-enabled system are the lack of stable integrated architecture and autonomous mechanism. This paper proposes the intelligent IoT-enabled system in green supply chain using FCM and fuzzy QFD method. It aims to simulate complex system by linked physical and digital objects with relationships while enhancing decision-making performance efficiency for green inventory management. A case study and experiment evaluation of the proposed FCM approach on green supply chain is presented to provide some indication for work improvement. The experiment compares the total effects performance of the green inventory status as estimated by the two methods using the proposed IoT-enabled FCM and traditional FCM.


2015 ◽  
Vol 2 (3) ◽  
pp. 47-66 ◽  
Author(s):  
Rui-Yang Chen

From green supply chain perspective of the internet of things, actualization of the IOT into the complex system for green inventory management will link the real world with the digital world seamlessly. Modeling the complex systems in green supply chain can be hard in a computational utilization and inventory management of relationships exists. Two of the problems of IoT-enabled system are the lack of stable integrated architecture and autonomous mechanism. This paper proposes the intelligent IoT-enabled system in green supply chain using FCM and fuzzy QFD method. It aims to simulate complex system by linked physical and digital objects with relationships while enhancing decision-making performance efficiency for green inventory management. A case study and experiment evaluation of the proposed FCM approach on green supply chain is presented to provide some indication for work improvement. The experiment compares the total effects performance of the green inventory status as estimated by the two methods using the proposed IoT-enabled FCM and traditional FCM.


2020 ◽  
pp. 77-90
Author(s):  
V.D. Gerami ◽  
I.G. Shidlovskii

The article presents a special modification of the EOQ formula and its application to the accounting of the cargo capacity factor for the relevant procedures for optimizing deliveries when renting storage facilities. The specified development will allow managers to take into account the following process specifics in the format of a simulated supply chain when managing inventory. First of all, it will allow considering the most important factor of cargo capacity when optimizing stocks. Moreover, this formula will make it possible to find the optimal strategy for the supply of goods if, also, it is necessary to take into account the combined effect of several factors necessary for practice, which will undoubtedly affect decision-making procedures. Here we are talking about the need for additional consideration of the following essential attributes of the simulated cash flow of the supply chain: 1) time value of money; 2) deferral of payment of the cost of the order; 3) pre-agreed allowable delays in the receipt of revenue from goods sold. Developed analysis and optimization procedures have been implemented to models of this type that are interesting and important for a business. This — inventory management systems, the format of which is related to the special concept of efficient supply. We are talking about models where the presence of the specified delays for the outgoing cash flows allows you to pay for the order and the corresponding costs of the supply chain from the corresponding revenue on the re-order interval. Accordingly, the necessary and sufficient conditions are established based on which managers will be able to identify models of the specified type. The purpose of the article is to draw the attention of managers to real opportunities to improve the efficiency of inventory management systems by taking into account these factors for a simulated supply chain.


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