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Bidding decision optimization based on integer programming method - a case study of virtual company of Ewood Technology Company
Han Zhou
International Journal of Mathematics and Systems Science 2024, 7(8); https://doi.org/10.18686/ijmss.v7i8.8560
Submitted:13 Aug 2024
Accepted:13 Aug 2024
Published:13 Aug 2024
Abstract
The report delves into the challenges faced by a Communication Base Station Equipment company. In January, the company encountered a financial crisis due to a lack of strategic consideration in bid management, particularly in terms of the number and geographical spread of tenders, leading to a negative profit margin. To address this, the report adopts integer programming as a tool to optimize profits for both January and February. This approach includes modeling various variables such as monthly factory upgrades, delivery schedules, and procurement volumes. The parameters set for the model encompass decisions on bids, selections of factory delivery options, and quantities of materials to be procured. The primary objective is to maximize the total profit by the end of February. There are specific recommendations, such as choosing four bids in January and seven in February, strategically distributed across two manufacturing facilities. Additionally, the report underscores the importance of managing total production time for all tenders to prevent negative impacts on subsequent tender processes and potential breaches of contracts.
References
[1]Si, J., He, F., Lin, X., & Tang, X. (2023). Vehicle Dispatching and Routing of On-Demand Intercity Ride-Pooling Services: A Multi-Agent Hierarchical Reinforcement Learning Approach. ArXiv. /abs/2307.06742
© 2025 by the EnPress Publisher, LLC. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license.

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