JIJ Launches JijZept Solver v4 Beta, a Major Update to Its Mathematical Optimization Solver 

Redesigned architecture and enhanced search capabilities help find feasible, high-quality solutions more reliably for large-scale, complex real-world problems

JIJ Inc. (“JIJ”) announced that JijZept Solver v4 beta became available to existing JijZept users and early-access partners on August 5, 2026.

JijZept Solver v4 beta is a major update that introduces a redesigned internal solver architecture. Building on the previous v3 release, the new version is designed to improve solver performance and stability for large-scale, complex optimization problems, while strengthening its search capabilities to make feasible solutions easier to find.

For real-world problems involving large numbers of constraints—such as production planning, delivery planning, and scheduling—the solver is designed to increase the likelihood of finding high-quality solutions that satisfy all constraints within a limited computation time.

This update is part of JIJ’s broader effort to advance mathematical optimization beyond research and development and deliver it as a software product that supports complex, real-world decision-making. Through the continued development of the JijZept product suite, JIJ is building an environment in which organizations can address complex planning and optimization challenges on an ongoing basis.

Background

Optimization problems in areas such as production planning, delivery planning, and scheduling require many factors, including equipment, workforce, time, capacity, and sequencing, to be considered simultaneously.

As problems grow larger and their constraints become more complex, it can become difficult to find even a single feasible solution that satisfies all constraints before the search for an optimal solution can begin.

Applying mathematical optimization to real-world operations requires more than theoretical optimality. It is also important to reliably obtain solutions that can support practical decision-making within a limited amount of computation time.

In response to these technical challenges encountered in real-world projects, JIJ reviewed and redesigned the internal architecture of JijZept Solver. JijZept Solver v4 beta has been redesigned with a particular focus on making feasible solutions easier to find for large-scale problems with complex constraints commonly encountered in practical applications.

Key Updates in JijZept Solver v4 Beta

1. Enhanced Search Capabilities for Finding Feasible Solutions

The search engine has been completely redesigned around a parallel architecture in which multiple search strategies with different characteristics run concurrently and share solutions with one another.

This substantially strengthens the solver’s ability to reach a feasible solution in highly constrained real-world problems, addressing situations in which no feasible solution—that is, no solution satisfying all constraints—can be found within the specified time limit.

2. Search Capabilities Tailored to Specific Problem Structures

JijZept Solver v4 beta introduces new search capabilities tailored to structures frequently found in production planning, delivery planning, and scheduling problems.

For these types of problem structures, the new capabilities enable the solver to identify high-quality solutions faster than other commercial solvers. JIJ plans to continue expanding the range of specialized search methods through future updates.

3. Early Access for Existing Users and Selected Partners

During the beta period, existing JijZept users and selected early-access partners will be able to evaluate the performance and usability of JijZept Solver v4 beta at an early stage.

JIJ will continue to develop its functionality and refine how the solver is delivered based on insights gained from its use in real-world projects.

Intended Application Areas

JijZept Solver v4 beta is primarily intended for optimization problems in areas including:

• Production planning for factories and other facilities

• Delivery and logistics planning

• Workforce and equipment scheduling

• Resource allocation

• Planning and assignment problems involving multiple constraints

Intended Users

JijZept Solver v4 beta is primarily intended for:

• Corporate R&D and technical evaluation teams

• Data scientists and researchers working with mathematical optimization

• Engineers developing optimization workflows

The beta version will initially be available only to existing JijZept users and selected early-access partners.

JijZept Solver API is also available to try through a free usage tier. For more information about its features and how to get started, please visit the product page.

JijZept Solver product page: https://www.jijzept.com/en/products/solver/

Future Development

JIJ will continue to advance JijZept Solver and the broader JijZept product suite, with the goal of providing an integrated environment that supports complex planning and optimization challenges throughout the workflow, from modeling to solving.

For JijZept Solver v4 beta, JIJ will continue to evaluate usability and stability in real-world projects while developing additional functionality and refining its delivery and availability model.

JIJ will also deepen integration with JijModeling, OMMX, JijZept IDE, and its APIs. Through these efforts, the company aims to develop a software foundation that enables mathematical optimization to be used not only for research and validation, but also as part of ongoing decision-making processes.

JijZept Solver v4 beta is a beta release. Its performance, functionality, specifications, and availability are subject to change.

About JIJ Inc.

JIJ Inc. is a technology company that helps organizations address complex planning and optimization challenges across business and society, with mathematical optimization at its core while also leveraging AI and quantum technologies.

Across industries including manufacturing, transportation and logistics, telecommunications, energy, and materials development, JIJ formulates customer challenges as computable models and supports decision-making in areas such as planning, allocation, scheduling, and search.

Through the development and delivery of software products and open-source technologies for modeling, solving, development, and execution, JIJ is building an environment in which a broader range of companies and developers can apply advanced optimization technologies.

Media Contact

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JIJ Inc.
Email: pr@j-ij.com

Product Inquiries

JijZept Support Team
JIJ Inc.
Email: jijzept@j-ij.com