Paper Info
Title
Optimal Inventory Control With Sequential Online Auction In Agriculture Supply Chain: An Agent-Based Simulation Optimisation Approach
Abstract
With the development of e-commerce, in agriculture supply chain, online auction is adopted as an inventory clearing tool. Comparing to mathematical models studying inventory control over online sequential auctions, our agent-based simulation model could systematically describe the complexities of bidders' information interactions and behaviour preferences caused from financial and production perspectives, and by other supply chain members. In addition, we take into account the complex and dynamic market environment, which will impact the operation effect of auction policies. With identical auction items, the profit-maximising firm must decide auction lot-size, which is the number of units in each auction, minimum initial bid, and the time interval between auctions. To obtain the optimal solution, nested partitions framework and optimal expected opportunity cost algorithm are integrated to improve computation accuracy and efficiency. A case study based on real data is conducted to implement and validate the proposed approach. Furthermore, based on the model, the paper studies the sensitivities of the decision variables under different supply and demand scenarios.
Year
DOI
Venue
2018
10.1080/00207543.2017.1373203
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
Keywords
DocType
Volume
simulation optimisation, multi-agent systems, budget allocation, agriculture supply chain, inventory control, online auction
Journal
56
Issue
ISSN
Citations 
6
0020-7543
3
PageRank 
References 
Authors
0.46
21
2
Name
Order
Citations
PageRank
Jianhua Yang141.82
Jie Song2344.14