{"id":3278,"date":"2025-10-28T11:00:00","date_gmt":"2025-10-28T10:00:00","guid":{"rendered":"https:\/\/www.meccanostampi.it\/?p=3278"},"modified":"2025-10-30T17:58:22","modified_gmt":"2025-10-30T16:58:22","slug":"the-aps-that-makes-molding-timely-and-predictable","status":"publish","type":"post","link":"https:\/\/www.meccanostampi.it\/en\/the-aps-that-makes-molding-timely-and-predictable\/","title":{"rendered":"The APS that makes molding timely and predictable"},"content":{"rendered":"\n

At Meccanostampi, scheduling is not an ancillary activity: it is the engine that aligns people, equipment and priorities to meet the delivery date required by the customer<\/strong>. That is why we have structured the scheduling of our two BUs, “Moldmaking<\/strong> ” and “Molding<\/strong>,” in an integrated way. <\/p>\n\n

Oggi operiamo con una piattaforma di multi-project management<\/strong><\/a> per l\u2019attrezzeria (progettazione, costruzione, collaudo stampi e controllo campionature) e con un sistema avanzato di pianificazione e schedulazione (APS)<\/strong> per i reparti di stampaggio. L\u2019obiettivo \u00e8 uno: ottimizzare tutte le risorse<\/strong>, tecniche, umane e impiantistiche, e dare ai clienti affidabilit\u00e0 sulle date<\/strong>.<\/p>\n\n

Goals: reliable dates, saturated facilities, working capital under control<\/strong><\/h2>\n\n

Our operational goal is twofold: to meet the required delivery date-even when it is challenging-and<\/strong> to saturate production facilities<\/strong> by optimizing available resources. In parallel, we aim to reduce inventory levels<\/strong> so as to limit capital tied up and make the chain leaner and more responsive. <\/p>\n\n

Since 2022<\/strong>, we have been using an APS system<\/strong> to govern the entire cycle-from sales forecasts and what-if<\/em> simulations to finite-capacity detail scheduling<\/strong> on presses, tooling, and auxiliary resources.<\/p>\n\n

The starting point: standardizing methods and pooling know-how<\/strong><\/h2>\n\n

Before the adoption of the ODA, we defined some cornerstones:<\/p>\n\n

    \n
  • Standardize working methods<\/strong> and track know-how<\/strong> within shared tools (integration with ERP).<\/li>\n\n\n\n
  • Reduce<\/strong> outdated “homemade” applications<\/strong> and replace them with a single reliable data source.<\/li>\n\n\n\n
  • Generate stable plans<\/strong>, maximizing the use of available resources.<\/li>\n\n\n\n
  • Unify<\/strong> finite-capacity planning and scheduling in one office<\/strong> to intercept upstream<\/strong> errors and potential bottlenecks.<\/li>\n\n\n\n
  • Plan plant and mold maintenance<\/strong>, putting it on a schedule without unforeseen impacts on production.<\/li>\n<\/ul>\n\n

    The expectation: more plant efficiency<\/strong>, less waiting time, and more production capacity<\/strong> for the same assets.<\/p>\n\n

    Grounding: solid data, clear flows, rapid scenarios<\/strong><\/h2>\n\n

    To make ODA effective, we worked on three fronts:<\/p>\n\n

    1) Data and additions.<\/strong><\/strong>We analyzed and coded<\/strong> essential data for planning: injection molding, manual machining (internal and external), materials, setup times, tooling constraints.ERP<\/strong> became the primary source<\/strong> with which APS dialogues to import demand, inventory, orders and master data. <\/p>\n\n

    2) Process and accountability.<\/strong><\/strong>We have redefined the order review flow<\/strong>, clarifying roles and timelines. The ODA acts as a proactive engine<\/strong>: it develops production and purchasing proposals<\/strong> consistent with actual needs, available capacity and customer priorities. <\/p>\n\n

    3) Simulation and Decision Making.<\/strong><\/strong>Using “what-if” simulations,<\/strong> planners evaluate alternative scenarios (urgencies, unavailability, forecast changes) in seconds<\/strong>, choosing the sequence that maximizes On-Time Delivery<\/strong> and press saturation<\/strong> while minimizing setup and waste.<\/p>\n\n

    How daily life on the ward is changing<\/strong><\/h2>\n\n

    On the shop floor, the first difference you notice is clarity on material availability.<\/strong> Integration between ERP and advanced planning allows actual inventories and destinations to orders to be verified at a glance; as a result, the purchasing department receives daily updated MRP proposals<\/g> that are perfectly aligned with production requirements. This eliminates uncertainties, speeds up decisions, and reduces inter-office bouncing. <\/p>\n\n

    The same transparency is reflected in lead times<\/strong>: by having a single view of all press loads<\/strong> and necessary tooling<\/strong>, planners can confirm precise dates<\/strong> to customers and track compliance throughout the cycle, with targeted interventions if critical issues emerge. Plans become more robust<\/strong>: timely management of action messages – advances, reschedules, postponements – optimizes unavailability calendars (presses, dies, resources) and cuts downtime<\/strong>. <\/p>\n\n

    Forecasts<\/strong> are also under control. Changes in customer schedules are automatically analyzed and compared with current inventories and plans; the system proposes concrete actions<\/g> to safeguard delivery dates, avoiding unnecessary accumulations or sudden shortages. In practice, there is a shift from reactive management to preventive direction of<\/strong> the production flow. <\/p>\n\n

    The results: more customer value, more high-impact time<\/strong><\/h2>\n\n

    This evolution frees up quality time<\/strong>: planners no longer have to manually “adjust” plans and can focus on optimization<\/strong> and continuous improvement<\/strong>. The customer immediately feels the benefit: accurately estimated dates<\/strong>, proactive<\/strong> communication about any deviations, and, when needed, alternatives<\/strong> such as splits or partial batches shared in advance. <\/p>\n\n

    Organizationally, the team works with a common method<\/strong>: clear rules, unambiguous data, defined responsibilities. And when unforeseen events<\/strong> come up-breaks, emergencies, mix changes-scheduling is quick and data-driven<\/strong>, keeping the two goals firm: satisfying the customer<\/strong> and optimizing resources.<\/strong> <\/p>\n\n

    Why it matters to those who choose us<\/strong><\/h2>\n\n
      \n
    • Reliable dates even on complex orders.<\/strong> Finite capacity makes the promise executable<\/strong>, not just estimated.<\/li>\n\n\n\n
    • More saturated plants, lighter warehouses.<\/strong> Realistic plans mean less waiting<\/strong>, less WIP<\/strong> and less capital tied up<\/strong>.<\/li>\n\n\n\n
    • Data-driven decisions.<\/strong> From forecast to press, every choice is traceable<\/strong> and measurable<\/strong>.<\/li>\n<\/ul>\n\n

      Advanced planning is not just technology: it is process discipline<\/strong> and data culture<\/strong>. It is how we turn plans into delivery, and complexity into reliability<\/strong>. <\/p>\n\n

      Meccanostampi. Where ideas take shape. <\/strong><\/p>\n","protected":false},"excerpt":{"rendered":"

      At Meccanostampi, scheduling is not an ancillary activity: it is the engine that aligns people, equipment and priorities to meet the delivery date required by the customer. That is why we have structured the scheduling of our two BUs, “Moldmaking ” and “Molding,” in an integrated way. Oggi operiamo con una piattaforma di multi-project management […]<\/p>\n","protected":false},"author":1,"featured_media":3291,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[20],"tags":[],"class_list":["post-3278","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-press-en-2"],"yoast_head":"\nThe APS that makes molding timely and predictable - Meccanostampi<\/title>\n<meta name=\"description\" content=\"At Meccanostampi we operate an advanced planning and scheduling system (APS) for molding departments. 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