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Average Ratings 0 Ratings

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ease
features
design
support

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Description

DecisioWorks serves as a comprehensive toolkit for production planning, scheduling, and decision-making tailored for manufacturers, software developers, and system integrators. By transforming production data into actionable plans and standardized decision-making alternatives, it utilizes data interfaces, business semantics, capability orchestration, and optimization configuration to facilitate controlled analysis and adjustments of plans. Utilizing the General-purpose Optimization Calculus Kernel (GOCK), it empowers users to evaluate capacity, anticipate delivery timelines, weigh different options, and adapt to changes in production demands. Partners can leverage these functionalities to enhance their production decision systems without having to create the optimization framework from the ground up. The source code for DecisioCore is accessible for review and modification under its licensing agreement, ensuring transparency and flexibility. This toolkit accommodates on-premise implementation and is available through annual commercial licensing, with a research edition offered for evaluation under specific conditions, making it an adaptable solution for various operational needs. Additionally, its ability to integrate seamlessly with existing systems makes it a valuable asset for organizations looking to improve their production processes.

Description

Logistics and planning serve as the vital lifeblood of a factory, enabling the creation of top-tier products. The availability of intuitive planning tools, along with real-time reports and analyses, significantly enhances the department's operational efficiency. However, delays in the delivery of materials and semi-finished goods to production cells pose the most significant challenge in the interplay between logistics and production, contributing to a subpar production-to-plan ratio. Another critical issue lies in the communication breakdowns between consumers in the production department and suppliers from the in-house logistics team. In an ever-evolving manufacturing environment, the absence of swift access to comprehensive analyses presents a substantial hurdle. This information deficit leads to a paralysis of action, perpetuating a state of unawareness in a troubling situation, which ultimately hampers overall productivity and responsiveness.

API Access

Has API Yes 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

No details available.

Integrations

No details available.

Pricing Details

Contact us for annual licensing
Free Trial No 
Free Version No 

Pricing Details

$69 per month
Free Trial Yes 
Free Version Yes 

Deployment

Web-Based No 
On-Premises Yes 
iPhone App No 
iPad App No 
Android App No 
Windows Yes 
Mac No 
Linux Yes 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours No 
Live Rep (24/7) Yes 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) Yes 
In Person No 

Vendor Details

Company Name

Ceju Industrial Technology (Chengdu) Co., Ltd.

Founded

2026

Country

China

Website

qiaoyx-or.github.io/production-decision-sandbox/en/

Vendor Details

Company Name

Ruby Logic

Country

Poland

Website

rubylogic.eu/en/factory/logistics

Product Features

Production Scheduling

"What If" Scenarios Yes 
Automated Scheduling Yes 
Bottleneck Optimization Yes 
Capacity Planning Yes 
Constraint Scheduling Yes 
Job Scheduling Yes 
Material Planning No 
Priority-Based Scheduling Yes 
Quality Control No 

Product Features

Production Scheduling

"What If" Scenarios No 
Automated Scheduling No 
Bottleneck Optimization Yes 
Capacity Planning Yes 
Constraint Scheduling No 
Job Scheduling No 
Material Planning Yes 
Priority-Based Scheduling Yes 
Quality Control Yes 

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