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The manufacturing industry is characterised by complex production processes, numerous business links, and vast data volumes, rendering traditional performance management models inadequate for addressing such complexity. Over the past two years, the global industrial chain and supply chain have undergone accelerated restructuring, significantly increasing the uncertainty faced by manufacturing enterprises. Sharp fluctuations in commodity prices, rapid shifts in end-user demand, and the normalisation of supply chain disruption risks have forced enterprises to re-evaluate the positioning of budget management. It is no longer merely a tool for the finance department to formulate, control, and assess, but must become the core of value management that runs through strategy, operations, and finance, helping enterprises see the big picture, anticipate risks, and make rapid decisions in complex environments. However, while most manufacturing enterprises have accumulated vast amounts of operational data, system fragmentation and inconsistent data definitions make it difficult for finance departments to construct a unified, multi-dimensional analytical view covering production, quality, cost, and energy consumption. Traditional annual budgets struggle to deliver tangible results in a dynamic market, and enterprises urgently need a performance management system deeply integrated with manufacturing business logic to support agile responsiveness.
Intcube EPM System Specialised Solutions
Building a Vertically and Horizontally Integrated Performance Management Foundation for Manufacturing Enterprises
With comprehensive budget management at its core, and relying on its self-developed high-performance multi-dimensional database, the Intcube EPM system provides manufacturing enterprises with an integrated solution featuring data integration, model-driven analysis, and closed-loop control. The system follows the principle of "two-way integration between top-level strategic design and front-end business drivers," horizontally connecting the entire business chain including product design, raw material procurement, equipment assembly, warehousing and logistics, order processing, and wholesale and retail. Vertically, it structures hierarchical operating units from the group down to business divisions, subsidiaries, and branch offices, enabling top-down decomposition and bottom-up consolidation around strategic objectives. The following sections will analyse the appropriate implementation paths and customer practices based on the management characteristics of different manufacturing contexts.
I. Project-Driven Manufacturing: Full Lifecycle Profitability Control
Typical Industries: Large-scale equipment manufacturing, construction machinery, wind power equipment, shipbuilding
# Industry Characteristics: Highly non-standardised products with long production cycles, requiring engineer-to-order and make-to-order processes. Each project, from bid quotation, R&D design, procurement and production to installation and maintenance, can span months or even years. As costs are incurred over a long period in a dispersed manner, traditional annual budgets struggle to effectively track the total cost of individual projects.
# Core Pain Points
● Inaccurate cost estimation during the quotation phase, leading to profit erosion after winning the bid;
● Frequent design changes during production execution, causing cost overruns;
● Post-sales maintenance and operation phases suffer from spare parts inventory backlog and continuous service costs, making it difficult to achieve closed-loop profitability accounting over the entire project lifecycle.
# Intcube Solution
The system supports building a full-chain cost model covering bid quotation, production execution, and after-sales maintenance.
● During the quotation phase, the system provides a standard cost library covering materials, labour, manufacturing, logistics, and after-sales service. It can automatically pull the latest business data and support multi-scenario cost simulations, helping enterprises accurately forecast project profitability before accepting orders.
● During the execution phase, the system integrates with ERP, MES, and other systems to automatically consolidate all costs for each project, from R&D, procurement, and production to logistics, enabling full traceability from quoted cost, target cost, to actual cost.
● During the after-sales phase, the system establishes a service work order cost accounting system to accurately account for labour, spare parts, travel, and other expenses. Simultaneously, the system supports rolling forecasts and multi-version scenario simulations, helping management dynamically adjust resource allocation based on actual circumstances during project execution.
# Customer Case
A large equipment manufacturing group, with businesses covering the R&D and production of construction machinery and core components and some overseas production bases, is a typical project-driven complex manufacturer. Following expansion through mergers and acquisitions, subsidiaries used various financial systems with different versions, making data reconciliation time-consuming. Intcube built a group-level EPM platform for them, enabling data collection by directly connecting to different financial systems of various subsidiaries for automatic data extraction and unifying master data standards. After implementation, the time required for the group to produce consolidated statements was reduced by nearly a week. The finance team was freed from tedious data verification work and could focus on profitability analysis for different product lines, providing a solid data foundation for total cost control of individual projects.
II. Continuous Process Manufacturing: Daily Cost Control and Dynamic Operational Simulation
Typical Industries: Chemicals, steel, non-ferrous metals, cement and building materials, pharmaceutical production
# Industry Characteristics: Continuous and uninterrupted production processes; once started, equipment runs continuously. Raw material costs constitute a very high proportion, making profit sensitivity to price fluctuations significant. Co-products, by-products, and intermediate products are produced concurrently, requiring reasonable allocation of costs among multiple products. Energy consumption is a key cost component.
# Core Pain Points
● Cost accounting results are generated monthly, with significant lag;
● Can only account at the workshop or major product category level, failing to precisely identify waste at specific units, production lines, or shifts;
● Cost allocation methods for co-products and by-products are rough, obscuring the true cost of individual products;
● Inability to quickly calculate the impact amplitude on profit when raw material prices fluctuate.
# Intcube Solution
● The system supports daily data collection, calculation, and visualisation, refining cost accounting granularity to the unit, production line, and shift levels.
● For co-product and by-product scenarios, the system can automatically restore costs by process step, penetrating to calculate the true cost composition of final products.
● The system incorporates multiple forecasting models based on sensitivity analysis. When any factor such as purchase unit price, freight, or labour cost changes, the system can automatically update unit and total costs in a linked manner.
● In expense allocation, the system follows a lean logic: determine cost objects, aggregate common costs, select allocation criteria, and allocate to cost objects. It supports multi-stage aggregation and reallocation based on flexible standards such as headcount, actual consumption, and proportions.
● The system can interface with MES systems to monitor unit energy consumption and material loss, performing real-time comparisons against standard costs.
# Customer Case
A coal mine research institute is a standardised manufacturing enterprise based on continuous production. Its budget system had long suffered from low preparation accuracy, difficulty in data updating and retention, and challenges in implementing performance assessments. The Intcube EPM system constructed a standardised budget model integrating production, supply, and sales data, project standard packages, and expense quotas, aligned with business activities and cost control requirements around target production capacity. The system separated master data from budget standards, establishing a complete closed-loop management system extending from sales budgets to administrative expenses, selling expenses, manufacturing costs, labour costs, and production-related data. This provided a reusable practice template for refined daily cost control in process manufacturing enterprises.
III. High-Mix Discrete Manufacturing: R&D-Production-Supply-Sales-Investment Synergy and Refined Cost Accounting
Typical Industries: Automotive parts, precision manufacturing, electronic components, home appliance manufacturing
# Industry Characteristics: Significant high-mix, low-volume characteristics with frequent customer order changes; long production chains requiring coordination across multiple processes and workshops; complex BOM structures with numerous material types; production models include both make-to-stock and make-to-order; R&D design changes significantly impact procurement and production.
# Core Pain Points
● Inaccurate sales forecasts easily lead to inventory buildup or stock-outs;
● Procurement plans struggle to precisely match production changes, causing high raw material inventory levels;
● Indirect cost allocation methods are rough during mixed production of multiple products, obscuring the true cost of individual product types;
● Lack of cost constraints during the R&D design phase leads to cost overruns in the production phase.
# Intcube Solution
● The system supports flexible construction of data flow and reference mechanisms across R&D, production, supply, sales, and investment, building a business digital twin system.
● Starting from sales forecasts and strategic goals, the system can automatically derive production plans and capacity requirements, and based on material BOMs, automatically calculate raw material procurement plans, achieving closed-loop management of "production based on sales, procurement based on consumption."
● At the cost accounting level, the system supports activity-based costing, allowing for accurate accumulation of direct materials, labour, and manufacturing expenses by process and batch.
● The system supports multi-stage expense allocation based on flexible standards such as headcount, actual consumption, and proportions, with a traceable and verifiable allocation process.
● The system supports building multi-version BOM cost models, allowing for cost impact simulations of different design plans during the R&D phase.
# Customer Case
A precision manufacturing enterprise, due to its complex production model with multiple product lines and production lines, faced challenges in effectively transmitting strategic goals to annual operating plans, and independently prepared budgets from various departments struggled to form resource synergy. Intcube deployed an EPM system for them, introducing strategy deployment functionality. Using built-in tools such as the X-Matrix and Action Plan, it decomposed long-term strategic goals of three to five years into annual goals, key strategies, and specific budgets layer by layer. Addressing the company's high-mix, low-volume characteristics, the system developed matrix reporting and referencing functions and deepened integration with MDM, ERP, and other systems to enable automatic flow of business and financial data. Ultimately, it helped the company achieve precise cost accounting at the product and product line level, providing a reliable basis for pricing strategy formulation and product portfolio optimisation.
IV. Diversified Group Manufacturing: Differentiated Control Across Business Models and Multi-Dimensional Consolidation
Typical Industries: Cross-sector comprehensive manufacturing groups, diversified industrial groups
# Industry Characteristics: Operations span multiple unrelated or weakly related fields, with significant differences in business logic, operational cadence, and management maturity across segments. Group headquarters must meet the differentiated control needs of each segment while achieving unified aggregation and consolidation of financial data across the entire group.
# Core Pain Points
● Different segments use different management software with inconsistent data definitions, making collection difficult;
● Frequent cross-segment resource transfers within the group complicate intercompany transaction elimination;
● Different segments have varying granularity requirements for management reports;
● The same set of prepared data may need to meet multiple consolidation needs simultaneously, such as management reporting, equity reporting, and public disclosure.
# Intcube Solution
● The system supports building differentiated budget preparation models and control rules by segment, industry, and legal entity, allowing each segment to operate a budget system aligned with its own business logic on a unified platform.
● The system features rich interface adapters, supporting direct connection to different databases such as SAP, Oracle, Kingdee, and Yonyong for underlying data extraction.
● The system supports online entry of intercompany transaction data by member entities, with automatic two-way matching and discrepancy alerts, shifting the reconciliation work that previously depended on post-facto manual checks to a proactive, ongoing process.
● The system supports automatic generation of consolidated reports from a single set of prepared data, according to multiple standards such as management and equity reporting. At the group consolidation level, it supports three elimination methods: direct elimination via intermediate consolidation tables, direct entry of batch adjustments and elimination entries, and automatic elimination based on collaborative intercompany transaction reconciliation.
# Customer Case
Shaanxi Taifaxiang Group is a comprehensive industrial group covering four major sectors: energy, real estate, commerce, and investment, with over twenty entity enterprises. Previously, the group's performance management system primarily focused on financial indicators, lacking business plan data support and failing to achieve business-finance linkage. Leveraging multi-dimensional database technology, Intcube built a unified performance management information platform centred on business budgeting. The project fully digitised business data related to production, sales, project construction, and daily operations, designing the budget preparation model around management reporting requirements and achieving a dynamic operational management model based on business drivers. The platform's execution control function dynamically tracked execution progress based on budget data from each business segment, achieving real-time monitoring and early warning. This platform helped the group achieve differentiated control across its various business models, promoting efficiency and quality improvement in comprehensive budget management centered on business-finance integration.
V. Group Financial Control: Efficient Consolidation and Execution Closed Loop
Typical Industries: Multi-entity group manufacturing enterprises, multinational corporations
# Industry Characteristics: Multiple legal entity subsidiaries domestically and internationally, each operating independent accounting and tax filing. The group headquarters must regularly prepare consolidated statements for external disclosure and internal management. The group equity structure is complex, with frequent M&A activities. Overseas subsidiaries involve multi-standard accounting conversion and foreign currency statement translation.
# Core Pain Points
● Subsidiaries use various ERP systems with different brands and versions, lacking unified basic data standards;
● Consolidated report preparation relies heavily on manual Excel operations, making data collection and reconciliation time-consuming;
● Frequent intercompany transactions, with elimination processing relying on manual judgment;
● Consolidation scope changes dynamically with M&A activities, making manual adjustments prone to omissions;
● Budget and execution phases are disconnected from reimbursement and procurement payment processes, rendering control ineffective.
# Intcube Solution
● The system supports direct connection to various databases for underlying data extraction, establishing unified financial master data standards.
● The system provides three consolidation methods: direct elimination via intermediate consolidation tables at the group consolidation layer; direct entry of batch adjustments and elimination entries; and automatic elimination based on collaborative intercompany transaction reconciliation.
● The system includes multiple sets of accounting standard conversion models, supporting parallel multi-ledger bookkeeping, or automatic conversion through customisable conversion rules, while maintaining real-time foreign exchange rates and automatically performing foreign currency translation.
● The system supports flexible configuration of equity relationships, automatically adjusting the consolidation scope based on the latest shareholding ratios and control rights.
● In execution control, the system's execution control service centre, through two-way integration, achieves overspending warnings for available budgets. Execution results are fed back to budget reports in real-time, supporting drill-down from report data to specific application documents, forming a full-process closed-loop management covering pre-event, in-process, and post-event stages.
# Customer Case
Nanjing Kangni Electromechanical Co., Ltd. is a comprehensive enterprise integrating R&D, manufacturing, sales, and service, with over thirty directly controlled subsidiaries. Although the company had built an integrated application system covering ERP, MES, MDM, SAP, and CRM, budget preparation still relied primarily on Excel. Intcube custom-developed a consolidated reporting system and a comprehensive budget management system for them. The consolidated reporting system includes functions such as cost rollback, consolidated reporting, and report templates. Through steps including BOM data query, comparison of book cost and actual cost, and cost calculation for replacement of related-party transaction values, it achieved layer-by-layer rollback of actual costs. The comprehensive budget management system covers the full-process closed-loop management from budget preparation, adjustment, and control to analysis, providing a standardised tool for the group's financial control.
Comprehensive budget management in the manufacturing industry is evolving from a financial department accounting tool to an enterprise-wide performance hub. The essence of this transformation lies in budget management moving from recording the past to navigating the future. Leveraging its self-developed multi-dimensional database technology and model designs deeply aligned with manufacturing business scenarios, the Intcube EPM system provides practical, implementable solutions for various manufacturing contexts, including project-driven, continuous process, high-mix discrete, and diversified group manufacturing. By building a performance management system featuring data integration, model-driven analysis, and closed-loop control, enterprises can transform vast operational data into precise business insights, establishing management capabilities rooted in certainty amidst an uncertain market environment.
