Tender Review System with Randomized Multi-Level Evaluation
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Solution Overview
Problem
The procurement process is vulnerable to fraud and corruption, particularly during the tender review stage, where collusion and corruption can lead to the selection of undesired suppliers, reducing competition and increasing costs for tendering entities and consumers.
Innovation Solution
A computer-implemented method and system that involves multiple levels of reviewer selection and review processes, where reviewers are randomly chosen from a register and remain anonymous to each other, with access to specific levels of information, to ensure impartial evaluation and reduce human intervention, using a network to publish and collect tender information and reviews.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a single reviewer evaluates tenders, then the review process is simple and quick, but the risk of fraud and corruption increases
Solution Approach 1:
The tender review process is segmented into multiple independent levels (first-level reviewers, second-level reviewers, third-level reviewers), where each level performs evaluation independently. This segmentation prevents any single reviewer from having complete control, thereby reducing fraud risk while maintaining process manageability through hierarchical structure.
Solution Approach 2:
The review process transitions from a single-dimension (one reviewer) to multi-dimension (multiple reviewers at different levels) evaluation. By adding the dimension of hierarchical review levels and random reviewer selection, the system achieves higher reliability without proportionally increasing complexity, as the structure provides systematic control.
2Reliability
If reviewers are randomly selected and remain anonymous, then collusion is reduced, but the coordination and management of reviewers becomes more complex
Solution Approach 1:
A computerized review system acts as an intermediary between reviewers and tendering entities. The system randomly selects reviewers, manages their anonymity, coordinates review timelines, and aggregates evaluations. This intermediary handles the complexity of reviewer management while ensuring impartiality, as the automated system eliminates human bias in reviewer selection and coordination.
Solution Approach 2:
Reviewers independently submit their evaluations through the computerized system without direct interaction with other reviewers or tendering entities. The system automatically manages the review process, allowing reviewers to perform their function autonomously while the system handles coordination, thereby reducing collusion opportunities and simplifying management.
3Reliability
If multiple levels of review are implemented, then fraud detection improves, but the time required for the procurement process increases
Solution Approach 1:
The system performs preliminary actions by randomly selecting and notifying reviewers in advance, setting clear deadlines for each review level. This preliminary organization allows multiple levels of review to proceed systematically without unnecessary delays, as reviewers are prepared and accountable for timely submission of evaluations.
Solution Approach 2:
The computerized system provides automated feedback mechanisms, tracking reviewer responses and prompting those who have not submitted evaluations by deadline. This feedback loop ensures that multiple review levels are completed efficiently, minimizing time loss while maintaining thorough fraud detection through hierarchical evaluation.
Data Source
AI summary
A method and system for controlling procurement systems where tender review process is by selecting external/internal reviewers randomly and by managing at least three levels of reviews. The method comprises collecting a tender information by an application server; collecting the bids; and collecting reviews at each level and transmitting the reviews to the next-level reviewers. The reviewers are selected from a reviewer register for each review level. The first-level reviews are transmitted or kept confidential as per entity preference to the second-level reviewer devices and the second-level reviews are collected within a limit period of time and simultaneously. The second-level reviews are collected from the second-level reviewers and transmitted to the third-level reviewers. The system may analyse the collected reviews and select the winner of the tender based on reviews collected. By option, the system can also hide bidders' information such names at a certain level of analysis/analysts depending on the materiality and available resources.