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Description

    How to implement a new order?

    Pre-planning in single-part manufacturing – Automatically calculate using orders

    It's a fact: Pressures from deadlines and competition in the die manufacturing industry run high, and fast decisions are an important factor in winning orders. The advantage goes to those who can realistically include their current resources and capacities in the decision – at the click of a button. Production planners detect impending overloads in advance and can place external orders in time, thereby increasing returns. What if you could insert a spontaneous order and complete it on schedule? It's all possible – even in single-part manufacturing.

    ProLeiS MES lets you check the feasibility of order inquiries: ProLeiS quickly provides a reliable basis for decision-making using current data based on your company parameters. 

    The project manager uses pre-planning tools to check the required resources, budget, outsourcing and capacity utilization. Just a few clicks produce graphical overviews that help you realistically manage inquiries.

    Make or buy?

    Weigh the risks and decide with confidence

    ProLeiS helps you do this. You can simulate how scheduling external manufacturing will affect your capacities. This yields an overview of the probable capacity utilization, enabling you to compare different scenarios. You can use this to determine whether external assignment is necessary – as a complete order or only for parts of individual work packages. 

    You can clearly see:

    • Whether you have to outsource manufacturing, 
    • Which parts are outsourced and
    • Whether outsourcing fits in your planning.
    Simple
    See current capacities at the click of a button • Get support for quick decisions • Create project flow using drag and drop
    Automated
    Realistically check inquiries • Simulate outsourcing • Work with templates 
    Reliable
    Detect potential overloads in advance • Evaluations make future forecasts more precise

    Realistically plan inquiries in current production

    Not enough resources available for a project? Check to see whether you can complete the order and with what resources, or if you have to outsource parts of the order.

    Realistically schedule capacity: Production isn’t fully utilized by current orders (solid color bars). ProLeiS displays a realistic distribution of new orders across your resources at the click of a button to enable the best possible use of capacity.
    Scenario 1: The request for 3 new die sets (transparent bars) results in an overload. Solution: Outsourcing can be considered to meet the planned delivery date in calendar week 32. You can also use ProLeiS to simulate whether outsourcing is cost-effective and fits in your time schedule.
    Scenario 2: You try to manage the overload with short-term overtime hours. Here as well, internal capacity is not enough for delivery in calendar week 32. Solution: You outsource parts of the order for the overtime hours. ProLeiS can also be used to simulate what can easily be outsourced.
    Scenario 3: The delivery deadline is postponed to calendar week 34. ProLeiS automatically divides up the order and integrates it in the current production schedule. You can accept the order and complete it without excessive planning effort.

    Quick calculation

    Simple budget planning and capacity overview

    • Costing based on completed projects
    • Enter planned total budget in a monetary value or on an hourly basis
    • Create project flow using drag and drop with milestones and templates 
    • Assign hourly requirements to individual disciplines, machine groups and teams
    • ProLeiS determines capacity utilization with a realistic capacity profile 
    • This lays the foundation for an automatic comparison with current production orders

    ProLeiS budget and capacity planning allow you to quickly and realistically determine whether you have sufficient resources available. You can see whether the requested project will be completed on time on the required delivery date, and you can impress your customers with on-time delivery.

    ProLeiS realistically distributes capacity utilization at the click of a button.

    Learn from history

    Evaluation: Digitally collected results give you more precise quotations

    Digitally stored knowledge from experience is valuable – use detailed costing based on your company’s history. The more you work with ProLeiS, the more results it collects for you. The MES learns from your completed projects: You receive increasingly detailed capacity profiles using actual confirmed data for pre-planning. This data lays the groundwork for more and more accurate costing results. This helps you avoid financial losses and missed deadlines because bid values are too low – and canceled orders because bids are costed too high. You’ll improve your pre-planning templates with every order implemented in ProLeiS. 

    Prepare detailed costing based on assemblies:

    1. Create pre-planning templates based on types of tools
    2. Determine external costs and internal expenditures
    3. Evaluate internal work using calculated total hourly rates
    4. Automatically calculate capacity requirements and capacity distribution
    5. Use the final overview as the basis for decision-making

    Digitally stored knowledge is always accessible, even if employees are absent

    Target/actual comparison: With feedback from previous similar orders, you can compare the required time with the estimated time from pre-planning and manufacturing planning. Use the results for more precise pre-planning.

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    About ProLeiS MES 

    ProLeiS MES software enables you to digitally model your order processing. You can optimize manufacturing processes and increase production performance through efficient planning, management and control of all manufacturing orders. You receive evaluations from production, from the individual work steps to the entire company overview. 

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    Interested in ProLeiS MES software?

    Send us an email – we'll be happy to answer your questions!

     

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