Clearer production plan, less downtime and repairs
Materials, process processes, batches, quality requirements, facilities and traceability depth vary significantly between production activities, and are therefore analysed separately.
Chemical, plastics and packaging production depends on formulations, raw material properties and equipment settings. These need to align with production plans and quality checks.
Electronics manufacturers need to manage component changes, assembly instructions and test results. A replacement component must be properly assessed before it enters production.
Pharmaceutical and medical product manufacturers need to follow approved instructions and retain records of completed work. Quality teams need all the information required to assess a batch.
Food and beverage manufacturers need to fulfil orders on time, control raw material consumption and maintain product quality. Shelf life, cleaning schedules and pending test results all affect planning.
Machinery and equipment orders often require a customer-specific configuration. Engineering changes need to reach purchasing, production and assembly teams in time.
Furniture and timber manufacturers need to coordinate dimensions, materials, finishes and production tasks precisely. Even a small order change can affect prepared components and delivery dates.
Metal manufacturers need to manage drawings, materials and job sequencing across machines. Actual working time and scrap data reveal the true cost of each order.
Building material and structural component manufacturers need to align production capacity with construction schedules. Product dimensions, quality documents and loading sequences matter both in production and delivery.
Textile and apparel production involves many variants: sizes, colours, materials and customer changes. Production tasks must match the approved design and ordered quantities accurately.
Plans have been continually manually revised, with more urgent conversions, overtime, unfinished production and delayed orders.
The manager sees the actual progress of orders, missing materials and reasons for stops. The planner can change the sequence of works in a timely manner, and specific inspection work is passed on to quality and maintenance teams.
The full digital sector analysis is presented below. A more detailed analysis tailored to the specific operating model is available on the business area pages.
The needs of serial production, individual equipment assembly and food plant vary. The organization of work is changed by raw materials, product complexity, equipment, quality checks and the term promised to the customer.
The manufacturer of the mix follows the recipes and batches, the manufacturer of the serial equipment - the kit, and the manufacturer of the design equipment - the individual drawings and changes.
Work schedule can be determined by machine tools, form, specialist time, necessary technological wait or customer approval. The plan must take this particular limitation into account.
Technical documentation indicates which materials can be used. In production, additional records are made of which materials have actually been used and what changes have been made.
The planner combines a sequence of work, the quality specialist confirms the suitability of the product, and the maintenance team checks the equipment. Their solutions must reach production in time.
The company designing the product, subcontractor and assembler perform different work. The scope of systems is selected according to technology, customer requirements and available jobs.
Manufacturing customers value the quality, term and ability to implement changes. For company profitability, it is important that materials, employees and equipment are prepared according to a real order sequence.
Information is mainly held in separate files or notes. Employees pass it on and reconcile it manually.
Teams record their work consistently, but sharing information with colleagues still requires considerable manual checking.
Core work is managed in systems. Some information is transferred automatically, but repeated data entry remains.
Systems deliver the required data on time. Employees can see unfinished work and know who is responsible for resolving discrepancies.
The team checks data quality, evaluates results and uses them to improve operations. Automation is applied where its value can be demonstrated.
Planning, production and quality teams need an accurate picture of the shop floor. Late records and outdated instructions can leave problems unnoticed until an order is delayed or a product needs reworking.
The production system must be convenient for the employee and useful to the manager. Equipment data, production tasks and quality checks are combined to help with everyday decisions.
Planning is based on normative times and late updates of materials, facilities, tools, staff and maintenance work.
The start and end of operations, the quantity produced, materials used, downtimes and deviations are recorded on paper, late or in several unconnected systems.
Checks, process parameters, broke codes and corrective actions are not always linked to a specific operation, device, batch of material, and product version.
Device condition, fault history, maintenance work, spare parts and production load are not planned in a single process.
Drawings, sets, recipes, technological routes and working instructions are stored in different locations or transmitted by files.
The reception of materials, the movement of the warehouse, placing in operation, remnants, batch or serial numbers and consumption are recorded with varying degrees of detail.
ERP, CAD or PLM, MES, WMS, QMS, CMMS, SCADA and laboratory systems exchange data on files, individual interfaces, or use different object codes.
The employee receives the task, instructions and quality forms through different channels, and must aggregate the actual data in multiple locations.
Normative times and costs are not constantly compared to the actual costs of operations, materials, brood, energy, tools and downtime.
The manager sees the actual progress of orders, missing materials and reasons for stops. The planner can change the sequence of works in a timely manner, and specific inspection work is passed on to quality and maintenance teams.
The actual course of production is invisible in time
Masters and planners see deviations too late, are unable to reliably assess the status of the order and decide based on incomplete information.
Production Execution System
Registers the actual operation, quantity and use of the material with an order or product connection. Quality approvals and planning decisions are obtained from responsible processes.
The operator's work is burdened with paper and systems duplication
There is an increase in administrative time, late entries, errors and dependence on the knowledge of experienced employees.
Production Execution System
Registers the actual operation, quantity and use of the material with an order or product connection. Quality approvals and planning decisions are obtained from responsible processes.
The production plan does not reflect real constraints
Plans have been continually manually revised, with more urgent conversions, overtime, unfinished production and delayed orders.
Intelligent Planning and Graphing System
Helps to compile and compare graphs based on real capacity, suitable materials and known process constraints. Significant change is confirmed by the planner.
Unclear versions of the product and documentation used at the manufacturing site
The operator can use outdated information, errors recur in series, and the effect of replacement on already produced units is difficult to trace.
Product Versions and Changes Management System
Supervises the technical basis version, permission to use it, and replacement effects. The actual product history is added from the production execution, not from the mere planned composition.
Quality problems detected too late
The same deviation recurs, the defect is detected at the end of the process, and the risk of processing, write-offs and customer claims increases.
Quality management system
Link the applicable requirements, tests and actual history of the product or batch to the non-conformity and release decision. The required powers are maintained under a specific quality system.
Traceability of materials and batches insufficient
It is difficult to identify affected products, manage recall, justify quality and accurately estimate material losses.
Quality management system
Link the applicable requirements, tests and actual history of the product or batch to the non-conformity and release decision. The required powers are maintained under a specific quality system.
Registers the actual operation, quantity and use of the material with an order or product connection. Quality approvals and planning decisions are obtained from responsible processes.
Helps to compile and compare graphs based on real capacity, suitable materials and known process constraints. Significant change is confirmed by the planner.
Supervises the technical basis version, permission to use it, and replacement effects. The actual product history is added from the production execution, not from the mere planned composition.
Link the applicable requirements, tests and actual history of the product or batch to the non-conformity and release decision. The required powers are maintained under a specific quality system.
Organizes equipment maintenance work, part and verification of the performed action. Real inaccessibility and return conditions are transmitted for planning.
Transfers defined data between responsible sources, maintains an identifier connection and a visible transmission error. Business rules ownership remains in their execution processes.
Finance and production teams compare planned and actual material and labor costs. They see unexplained differences, missing data and can check that the same loss is not counted multiple times.
Production, technology and quality teams combine data sources, permissions and transfer responsibilities. The ERP, MES and equipment management tools used are evaluated against actual needs, and additions must maintain operational continuity and approved technical process.
The system must maintain normative times, costs and parameters, but also record the fact and the reason for its deviation.
A change in design or technology must be linked to affected orders, batches and documents.
Screen location, gloves, language, pace of work, error correction and practical lists of downtimes and spoil causes must be taken into account.
Anticipate the local operation of critical functions, subsequent data synchronization, segmented accesses, managed remote service, and regularly checked recovery.
Measure availability, performance and quality overall score on the most important devices or lines.
Evaluate the effect of failures and other unexpected stops on capacity.
Measure the portion of output produced without processing or additional repair.
Measure what part of the scheduled orders or quantities have been executed at the set time.
Monitor the time of the selected family of products from the start of production to the finished product.
Evaluate how much output can be linked to materials, product version, operations, facilities and quality records.
Measure the accuracy of target rates and identify unmanaged cost sources.
Evaluate the impact of planning and manufacturing execution on the term and quantity promised to the customer.
The value of repeated orders from the same customers for the same product is compared, estimating changes in price, season and contract volume.
These approaches show how more advanced technology could support specific activities. Each includes its potential value and implementation requirements. Suitability needs to be assessed against the company's data and operating conditions.
Process signals are compared to the laboratory result, assessing whether the risk of deviation can be detected earlier.
Serial product test data helps to select an unusual combination of results for the engineer's study.
Production and laboratory records are compared to the approved process progress and data from similar batches. The quality specialist receives unusual combinations and their sources for additional verification; the batch's decision remains his responsibility.
The date code, label variant or visible defect is checked against the standard for a specific product.
The image helps to verify the presence of visible components and their position according to the approved assembly option.
The defect attribute is linked to the detail and technological stage so that the quality can be checked up to more expensive work.
Machine data and the approved condition of the tool help determine the right moment of inspection or change.
Measurements and validated tests are used to verify the product's maturity estimate; release is accepted by the responsible professional.
The digital model helps to discuss proportions and the design option before a physical example.