An inventory system with coordination among manufacturers and retailers under buyback contract, vertical integration, retailer’s effort and carbon footprint constraint

Zokaee, Mahsa; Nazari, Alireza; Aghsami, Amir; Jolai, Fariborz

doi:10.1080/19397038.2021.1986591

Cited by 13 publications

(2 citation statements)

References 44 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Financial challenges are a critical aspect of AI integration in inventory management. The initial investment required for integrating AI technologies can be substantial, making it a significant barrier for many organizations [18]. Additionally, the return on investment (ROI) for such integrations can be uncertain, especially in the short term.…”

Section: Financial Challengesmentioning

confidence: 99%

Challenges and Solutions in Integrating AI with Legacy Inventory Systems

Singh,

Adhikari

2023

IJRASET

View full text Add to dashboard Cite

This paper delves into the intricate process of integrating Artificial Intelligence (AI) into legacy inventory systems, a critical challenge in the realm of modern inventory management. It presents a comprehensive analysis, exploring the multifaceted barriers encountered in this integration, particularly in traditional industries. The study identifies and examines key technical, organizational, and financial challenges, offering a nuanced understanding of the complexities involved. Innovative solutions and strategies are proposed to address these challenges, drawing on a rich array of existing literature and real-world case studies. The paper highlights successful integrations of AI in various sectors, extracting valuable lessons and best practices. It contributes significantly to the existing body of knowledge by bridging theoretical research with practical applications, providing insights that are both profound and actionable. This research not only illuminates the path forward for traditional industries seeking to embrace AI in inventory management but also serves as a valuable resource for practitioners and researchers in the field. The findings and strategies outlined in this study offer a roadmap for successful AI integration, marking a pivotal step in the evolution of inventory management practices.

show abstract

Section: Financial Challengesmentioning

confidence: 99%

Challenges and Solutions in Integrating AI with Legacy Inventory Systems

Singh,

Adhikari

2023

IJRASET

View full text Add to dashboard Cite

show abstract

“…Furthermore, Li et al (2019) compare and analyze the effectiveness of both revenue-sharing and cost-sharing in promoting carbon reduction in supply chains and find that cost-sharing is a more effective way of coordination. Similarly, Zokaee et al (2021) and Gao et al (2021) believe that a two-part tariff contract resulted in higher profits for green supply chain members.…”

Section: Coordinated Action Of Supply Chain Membersmentioning

confidence: 99%

Compliance quality improvement and carbon reduction strategies for a fuel vehicle supply chain based on the manufacturer's carbon social responsibility

Zhang

et al. 2023

Manage Decis Econ

View full text Add to dashboard Cite

It investigates compliance quality improvement and carbon reduction in the fuel vehicle supply chain. In our model, a manufacturer with carbon social responsibility first determines the level of carbon reduction, vehicle fuel consumption reduction, and compliance quality improvement. Multiple retailers then select the level of marketing effort. The analysis of decentralized, cost‐sharing, and revenue‐sharing decisions shows that the ranking of carbon and fuel consumption reduction and compliance quality improvement under the three models depends on the parameters. Cost‐sharing and revenue‐sharing can improve the utility of supply chain members, but the sharing modes that they prefer are different.

show abstract

Investment in fuel‐consumption reduction technologies in a vehicle supply chain under different subsidy policies: A dynamic framework

Yi,

Zhang,

et al. 2024

Manage Decis Econ

View full text Add to dashboard Cite

It develops a differential game model of a fuel car supply chain in which consumers' low fuel consumption, green preferences, and government subsidies promote manufacturers' investment in fuel‐consumption reduction technologies (FCRT); the price, the fuel consumption per mile, and the retailer's marketing efforts jointly determine the demand for the product. There are four game scenarios constituted by ex ante or ex post government that subsidizes and shares or does not share marketing costs. The results show that ex ante and ex post subsidies can incentivize investment in FCRT. However, the preferable subsidy model depends on the parameter values; the manufacturer‐led marketing cost‐sharing contract results in supply chain coordination.

show abstract

An inventory system with coordination among manufacturers and retailers under buyback contract, vertical integration, retailer’s effort and carbon footprint constraint

Cited by 13 publications

References 44 publications

Challenges and Solutions in Integrating AI with Legacy Inventory Systems

Challenges and Solutions in Integrating AI with Legacy Inventory Systems

Compliance quality improvement and carbon reduction strategies for a fuel vehicle supply chain based on the manufacturer's carbon social responsibility

Investment in fuel‐consumption reduction technologies in a vehicle supply chain under different subsidy policies: A dynamic framework

Contact Info

Product

Resources

About