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Average Ratings 0 Ratings

Total
ease
features
design
support

No User Reviews. Be the first to provide a review:

Write a Review

Description

A simulation module provides a comprehensive perspective on planning and scheduling, focusing on finite capacity to effectively manage both material and human resources while also identifying and eliminating bottlenecks. This sophisticated planning and scheduling software allows users to visualize, assess, and enhance production processes, thereby accelerating decision-making and fostering collaboration among teams. It serves as a distinctive tool for finite capacity planning and detailed scheduling within constraints, promoting simulated growth in a controlled manner. Designed for user-friendliness, it encourages team participation, enabling users to start with global data and progressively refine their focus to microdata. Users can create initial scenarios with minimal data and gradually increase complexity, achieving a reduction in lead time by up to 75%. The accompanying video illustrates the methodology for designing the factory within the tool and optimizing the layout for maximum efficiency. For those seeking further insights or wishing to learn how to effectively tackle cases using SIMOGGA, we highly recommend viewing our video tutorials, which provide a wealth of information and guidance. By engaging with these resources, users can unlock the full potential of the software and enhance their operational strategies.

Description

Responding swiftly to any discrepancies in the schedule is even more crucial than the initial planning itself. The inoPLAN APS (Advanced Planning and Scheduling) system employs sophisticated algorithms to automatically generate an optimized production schedule. Unlike traditional MRP and MRP II systems, inoPLAN provides a finite scheduling resource capacity. The plan remains current, as it is recalibrated and optimized with each occurrence of change. Scheduling is conducted effortlessly based on the resources at your disposal, eliminating the need for manual resource allocation to tasks. The SaaS model offers both immediate and long-term returns on investment. You can easily select or create the plan for your new project using a user-friendly tool, allowing you to rapidly evaluate different scenarios and their effects on other scheduled or ongoing projects. The system ensures that the project and all associated tasks are scheduled automatically. If any task experiences a delay that impacts the project deadline, you will receive an alert, ensuring you remain informed. This proactive approach enhances overall project management efficiency and minimizes disruptions.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

No details available.

Integrations

No details available.

Pricing Details

No price information available.
Free Trial
Free Version

Pricing Details

No price information available.
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

AMIA Systems

Founded

2014

Country

Belgium

Website

www.amia-systems.com/solutions/simogga-planner/

Vendor Details

Company Name

inoDIGIT

Country

Portugal

Website

www.inodigit.com/inoplan.html

Product Features

Manufacturing

Accounting Integration
ERP
MES
MRP
Maintenance Management
Purchase Order Management
Quality Management
Quotes/Estimates
Reporting/Analytics
Safety Management
Shipping Management

Product Features

Production Scheduling

"What If" Scenarios
Automated Scheduling
Bottleneck Optimization
Capacity Planning
Constraint Scheduling
Job Scheduling
Material Planning
Priority-Based Scheduling
Quality Control

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