Innovative solutions for industrial engineering

Recording general conditions at the workplace through simple selection queries

Pictogram-based description of work processes - e.g. using parts lists

Calculation of MTM benchmark times and comparison of TARGET/ACTUAL to derive potentials

MTM method as a reliable global standard for describing and evaluating human work (MTM-UAS^®, MTM-MEK^®, MTM-SD^®, MTM-LOG^®, MTM-VI)

More efficient calculation through reusable company-specific process standards

Easy handling thanks to customer-specific graphical data cards

Evaluation of an indicator with regard to value creation

Identifying and evaluating weak points in assembly during the design phase of the product development process

Impulse generator for the targeted optimization of product design for designers

Comparison of different design variants in terms of ease of assembly and derivation of initial assembly times

MTM method as a reliable global standard for describing and evaluating human work (MTM-1^®, MTM-2^®, MTM-UAS^®, MTM-MEK^®, MTM-SD^®, MTM-LOG^®, MTM-VI)

More efficient calculation through reusable company-specific process standards

Easy handling thanks to customer-specific graphical data cards

Evaluation of indicators such as value added

Recognizing and reducing distances, walking distances, and unnecessary body movements

Processing, management, and evaluation of time recordings according to REFA

Conducting time studies using a mobile app (iOS, Android, Windows) linked to TiCon

Reuse of data in other TiCon modules

Use of the MTM process module system Human Work Design (MTM-HWD^®) to describe human work and ergonomic influencing factors

Pictogram-based modeling of workflows

Auswertung bezüglich Zeit, Ergonomie und eHPU (engineerend Hours Per Unit)

Use of modeling templates for more efficient application

Modeling of ergonomic influencing factors based on the global EAWS^® standard

Identifying and reducing ergonomic risks at affected workstations

Multi-stage temporal and ergonomic synchronization of assembly lines and calculation of suitable job rotation in conjunction with TiCon Takt

Identification of suitable jobs within the framework of workplace reintegration management

Identify and reduce utilization gaps in graphical takts by dividing and redistributing work content

Presentation of value-added shares per worker and station to visualize optimization approaches

Representation and optimization of multi-machine operation through graphical modeling of temporal processes and dependencies between humans and machines

Modeling and consideration of priority graphs

Evaluation of qualifications required for jobs from planning

Quantity-based calculation of time required for picking activities or goods receipt and issue

Graphical process modeling across multiple process resources

Deriving resource requirements for necessary means of transport and employees with different qualifications

Graphical evaluation of activities in terms of main and secondary activities or in the form of an ABC analysis

Efficient top-down planning starting with the bill of materials and the annual quantities to be produced

Visualization of the assembly and installation sequence of parts in a bill of materials

Change management and support for various planning scenarios

MTM method as a reliable global standard for describing and evaluating human work (MTM-1^®, MTM-2^®, MTM-UAS^®, MTM-MEK^®, MTM-SD^®, MTM-LOG^®, MTM-VI)

More efficient calculation through reusable company-specific process standards

Easy handling thanks to customer-specific graphical data cards

Evaluation of indicators such as value added

Recognizing and reducing distances, walking distances, and unnecessary body movements

Connection and transfer of time data to the SAP work process

Parameter-driven, semi-automatic creation of multi-level MTM calculations

Reduction of calculation effort in large scenarios

Reuse of calculation templates with different parameter values 

Identifying and reducing load gaps in graphical cycle time planning by splitting and reallocating work content

Use of SAP bill of material information for work plan creation, including for maximum bills of material 

Support for SAP variant configuration for highly varied products   

Simulation of process improvements and impact analysis 

Implementing process improvements in productive planning data 

Creation and maintenance of work instructions based on linked MTM calculations and templates 

Automatic updating when MTM calculations change 

Reduction in manual maintenance effort

MTM method as a reliable global standard for describing and evaluating human work (MTM-UAS^®, MTM-MEK^®, MTM-SD^®, MTM-LOG^®, MTM-VI)

More efficient calculation through reusable company-specific process standards

Evaluation of indicators such as value added

Connection and transfer of time data to the SAP work process

Identifying and evaluating weak points in assembly during the design phase of the product development process

Impulse generator for the targeted optimization of product design for designers

Comparison of different design variants in terms of ease of assembly and derivation of initial assembly times

MTM method as a reliable global standard for describing and evaluating human work (MTM-UAS^®, MTM-MEK^®, MTM-SD^®, MTM-LOG^®, MTM-VI)

More efficient calculation through reusable company-specific process standards

Easy handling thanks to customer-specific graphical data cards

Evaluation of indicators such as value added

Reduction of distances, walking distances, and unnecessary body movements

Connection and transfer of time data to Teamcenter Operation

Modeling of ergonomic influencing factors based on the global EAWS^® standard

Identifying and reducing ergonomic risks at affected workstations

Calculation of a suitable job rotation

Automatically generate initial MTM data based on videos or textual work descriptions and then process it further until it becomes approved planning data.

Have the planning results, e.g., from the ergonomic assessment according to EAWS^®, explained to you and receive suggestions for improvement measures.

Use natural language to control TiCon. This allows you, for example, to easily search for existing data that meets your defined criteria.