Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
Creating a job sequence for each resource that adheres to all constraints can often take an exhausting and frustratingly long time. Even individuals with significant scheduling expertise may find that the outcomes remain far from ideal. The landscape can shift unexpectedly due to various pressures, changing priorities, urgent requests from important clients, issues with material availability, or equipment failures, which can quickly turn the hours spent developing a feasible schedule into a futile endeavor. Given the considerable investment in high-cost manufacturing equipment, it makes sense to utilize these resources in the most effective and efficient manner possible. The Arkieva Finite Scheduler has been meticulously crafted to meet the demands of contemporary supply chains. By integrating scheduling and distribution processes within the production-planning software, it provides a comprehensive view of the entire production and distribution network, ensuring that users can monitor everything from the shop floor to the shipment timeline. This holistic approach not only streamlines operations but also enhances overall productivity and responsiveness to changing conditions.
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.
API Access
Has API
No
API Access
Has API
Yes
Integrations
Adobe Acrobat
Yes
Microsoft Excel
Yes
Microsoft PowerPoint
Yes
Integrations
Adobe Acrobat
No
Microsoft Excel
No
Microsoft PowerPoint
No
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Pricing Details
Contact us for annual licensing
Free Trial
No
Free Version
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
Deployment
Web-Based
No
On-Premises
Yes
iPhone App
No
iPad App
No
Android App
No
Windows
Yes
Mac
No
Linux
Yes
Chromebook
No
Customer Support
Business Hours
Yes
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
Yes
In Person
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Vendor Details
Company Name
Arkieva
Founded
1993
Country
United States
Website
arkieva.com/software/scheduling/
Vendor Details
Company Name
Ceju Industrial Technology (Chengdu) Co., Ltd.
Founded
2026
Country
China
Website
qiaoyx-or.github.io/production-decision-sandbox/en/
Product Features
Production Scheduling
"What If" Scenarios
No
Automated Scheduling
No
Bottleneck Optimization
No
Capacity Planning
No
Constraint Scheduling
No
Job Scheduling
No
Material Planning
No
Priority-Based Scheduling
No
Quality Control
No
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