Machinery Scrutiny

🏗️ Tender Evaluation Tool

Initializing System...

Data Management (JSON)

1. Contractor Database

-- New Contractor --

Select machine... Sensor Paver Pneumatic Roller Dozer Tandem Roller Sheepfoot Roller Slip Form Paver Fixed Form Paver Grader Concrete Batching Plant Chilling Plant Asphalt Batch Mix Plant Drum Mix Plant Front End Loader Truck SCADA System Integrated to PWD Excavator Backhoe Loader Vibratory Roller Static Roller Water Tanker Transit Mixer Concrete Pump Air Compressor Crane Mechanical Broomer Vibratory Soil Compactor Mini Vibrator Roller Tipper Hot Mix Plant Wet Mix Plant Tractor with Rotavator Internal Concrete Vibrator Paver Finisher with Electronic Sensors Mechanical Paver Finisher Mechanical Bitumen Spayer Front End Loader Concrete Paver fully Automatic Reversible Drum Concrete Mixer Sand Screening Cum Washing Unit

Type	Age	Owned	Hired	Action

2. Project Requirements

-- New Project Template --

Select machine... Sensor Paver Pneumatic Roller Dozer Tandem Roller Sheepfoot Roller Slip Form Paver Fixed Form Paver Grader Concrete Batching Plant Chilling Plant Asphalt Batch Mix Plant Drum Mix Plant Front End Loader Truck SCADA System Integrated to PWD Excavator Backhoe Loader Vibratory Roller Static Roller Water Tanker Transit Mixer Concrete Pump Air Compressor Crane Mechanical Broomer Vibratory Soil Compactor Mini Vibrator Roller Tipper Hot Mix Plant Wet Mix Plant Tractor with Rotavator Internal Concrete Vibrator Paver Finisher with Electronic Sensors Mechanical Paver Finisher Mechanical Bitumen Spayer Front End Loader Concrete Paver fully Automatic Reversible Drum Concrete Mixer Sand Screening Cum Washing Unit

Type	Min Qty	Max Hired	Max Age	Action

3. Live Evaluation Workflow

Target Project

Number of Bidders

Evaluation Results

Contractor	Status	Evaluation Breakdown

🏗️ Tender Evaluation Tool – System Documentation

This tool is a web-based tender evaluation system designed for civil engineering and infrastructure projects. It enables authorities to digitally assess contractor eligibility based on machinery requirements.

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1. System Overview

The application consists of three major modules:

• Contractor Database
• Project Requirements
• Evaluation Engine

All data is stored locally using browser Local Storage, making the tool fully offline and portable.

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2. Data Storage Structure

let state = {
 contractors: [],
 projects: []
};

Contractor Object

{
 name: "ABC Infra",
 machinery: [
   { type, age, owned, hired }
 ]
}

Project Object

{
 name: "Highway Project",
 requirements: [
   { type, min, hired, age }
 ]
}

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3. Contractor Management

Add / Update Machinery

Users input machinery details:

• Machine type
• Age
• Owned quantity
• Hired quantity

The system supports:

• Adding new machines
• Editing existing entries
• Deleting records

Edit Logic

if (editIndex > -1) {
 tempMachines[editIndex] = machineData;
}

This enables in-place editing of machinery records.

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4. Project Requirement Definition

Each project defines eligibility criteria:

• Minimum required machines
• Maximum allowed hired equipment
• Maximum machine age

tempReqs.push({
 type,
 min,
 hired,
 age
});

These requirements act as evaluation rules.

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5. Local Storage Persistence

Data is saved using:

localStorage.setItem('tender_cons', JSON.stringify(state.contractors));
localStorage.setItem('tender_projs', JSON.stringify(state.projects));

This ensures:

• Data persistence across sessions
• No backend dependency
• Offline functionality

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6. Dynamic UI Synchronization

Dropdowns update automatically:

updateDropdowns();

This synchronizes:

• Contractor selection
• Project selection
• Evaluation participants

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7. Evaluation Workflow

The evaluation process follows these steps:

1. Select a project
2. Select participating contractors
3. Run evaluation

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8. Core Evaluation Logic

The function performEval() compares contractor machinery against project requirements.

Step 1: Match Machine Type

const match = con.machinery.find(m => m.type === r.type)

Step 2: Quantity Check

if(total < r.min)

Step 3: Hired Limit Check

if(match.hired > r.hired)

Step 4: Age Check

if(match.age > r.age)

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9. Decision Logic

A contractor is:

• QUALIFIED → If all conditions pass
• REJECTED → If any condition fails

Detailed logs are generated:

❌ Excavator: Shortage: 1/3 | Over_aged: 10/5

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10. Reporting System

Results are displayed in a table:

• Contractor Name
• Status
• Detailed evaluation remarks

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11. Export Features

JSON Export

• Backup contractors
• Backup projects

PDF Export

doc.autoTable({ html: '#results-table' });

Generates a professional evaluation report.

Excel Export

• Converts table to CSV format
• Downloads as Excel-compatible file

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12. Import Functionality

Users can restore data using JSON files:

reader.readAsText(file);

This supports:

• Data migration
• Backup restoration
• Multi-system usage

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13. Delete & Reset Operations

• Delete individual contractor
• Delete project templates
• Wipe entire database

localStorage.clear();

Used for complete system reset.

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14. Engineering Significance

• Ensures transparent tender evaluation
• Eliminates manual bias
• Standardizes qualification criteria
• Speeds up scrutiny process
• Improves auditability

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15. Key Advantages

• Fully offline tool
• No server required
• Easy to use interface
• Accurate rule-based evaluation
• Exportable reports