Inspur Iron&Steel Full-Process KPI System

The Inspur Iron&Steel Full-Process KPI System acquires the actual data of process and management system, establishes indicator systems at all levels according to best practices, and matches and develops the support modules for the lean improvement of enterprises to meet the needs of lean management and improvement at all levels, such as chairman, general manager, branch factory director, director and shift leader.

The Inspur Iron&Steel Full-Process KPI System is a tool-based application that helps enterprises to conduct KPI management. Its aim is to apply the concept of lean management to the practice of business management through digital tools.

1. KPI Assists in the Strategic Development of Enterprises

The system abides by the SMART principle and establishes an explicit and feasible KPI system. The system establishes enterprise-level KPIs, department-level KPIs and job-level KPIs, sets assessment standards, and tracks and reviews KPIs.

2. Automatic Data Acquisition

It can accurately reflect the actual production situation from various dimensions, avoiding manual errors in data entry.

3. Quick Merging Problems

According to the experience of industry experts, in combination with the actual situation of enterprises, we establish a knowledge base for abnormal indicator causes, automatically recommend the causes for abnormal indicators, and find related reasons through data mining, so as to reproduce the root causes of problems and intuitively present the completion degree of indicators, making the problem indicators clear at a glance.

4. Overthrowing Traditional Production Scheduling Conference Pattern

The KPI Kanban Conference Pattern empowers enterprises to quickly clarify production scheduling goals, focus on problems, strengthen the implementation of measures, and promote problem-solving.

5. Historical Retrospection and Trend Analysis

The line chart formed by relevant indicators can display the variation trend of indicators more intuitively, and can also be used for historical query according to different time ranges.

6. Realizing Multi-dimensional Tracking of Production

We acquire the raw materials, usage and process output of each process, calculate the unit consumption of the process, benchmark the industry standards or the best historical standards of the enterprise, and assess the space for reducing consumption and improving efficiency.