SAP

#Individual orders #Standardization #Master management

Promoting modularization in individual order production. Implementing process standardization and master data preparation for forecast production of intermediate products.

#Individual orders #Standard costs

We have shifted from cumbersome individual cost calculations to master calculations and evolved into standard cost calculations, building a foundation for improving estimate accuracy and reducing costs.

#Individual design #May rain map

By building an ERP business process that corresponds to the occasional drawing release, flexible and rapid cooperation between production, construction, procurement and cost is realized.

#MDM #Global #Master Management

Integrated management of globally distributed ERP master data. Eliminates code conversion work when aggregating data.

#BOM #EM conversion #Design changes

Consider the mechanisms and business processes for converting design BOM to manufacturing BOM and linking them together. Support the smooth launch of design change management.

#MES integration

In conjunction with the construction of a new factory, we built an infrastructure of ERP, MES, and equipment. We built a system with optimal divisions and achieved performance data collection.

#Overseas bases #Cloud #Global

Implemented core system development for launching overseas sales offices in just eight months using public cloud ERP

#Cloud #Version upgrade #Add-on

From ECC to S/4, we promoted Fit to Standard. We reduced 170 add-on functions, eliminated paper dependency, and reduced data aggregation work.

#Ariba #Efficiency

Consolidating small-value indirect purchases on Ariba. Improved efficiency in product searches and management operations reduced over 6,000 hours of work time.

#SupplierPortal

Share information on unofficial orders, orders, delivery dates, and billing with suppliers in real time via the supplier portal, helping to reduce fixed costs in the materials procurement department

#S&OP

We have established a supply system that seamlessly links the sales, production, and procurement processes and reflects changes in sales trends on a weekly basis.

#Individual orders #Standard costs

The introduction of machine learning models has improved the accuracy of demand forecasts, reducing logistics inventory and logistics costs (achieving annual cost savings of 100 million yen).