• Complete | Manage your Supply Chain End To End

ComplEtE

MANAGE YOUR SUPPLY CHAIN END TO END

ComplEtE Visibility

ComplEtE End To End Visibility

Monitore of the entire Supply Chain, create emergency groups to cooperatively resolve critical issues, simulate the effectiveness of corrective actions and implement the most convenient one

ComplEtE Optimization

ComplEtE Optimization

Optimize every decision supported by artificial intelligence algorithms, simulate new solutions proposed by the system, compare them through standard KPIs and personalized reports

ComplEtE Result

Automate all repetitive tasks with little added value, access all information effectively, change your point of view with the adaptive interfaces

Why choose ComplEtE

  • Future Technology

     

    Artificial intelligence at the service of the Supply Chain

    ComplEtE uses only the top of current technology (micro services, only back-end logics and an extremely light front-end). Strong horizontal and vertical scalability. IA (Deep Learning) algorithms to translate data into information and propose alternative solutions.

  • All in Cloud

     

    ComplEtE as a Service

    ComplEtE is designed as an ecosystem of services that can be installed on the external / internal cloud or provided locally in private networks.

  • Modular Approach

     

    ComplEtE Integration

    ComplEtE is a unique platform but you can choose which service to implement. Accesses can be activated at any time and are independent of each other. Each company can activate the desired modules by paying the cost of what is active.

  • Cyber Security

     

    CyberSecurity at the center

    DGS Group has an entire CyberSecurity Business Unit, market leader for quality standards and effectiveness.

  • Cooperative Work

     

    Shared simulation work environment

    ComplEtE offers users a collaborative and multi-simulation environment in which they can share every what-if analysis, every simulation, every information in the construction of a real consensus planning.

  • Simple is better

     

    Fast, reliable and simple

    ComplEtE is simple to use. Adopts the most modern design and UX patterns in order to guarantee a fast, dynamic and customizable usability.

  • Experience & Passion

     

    We have passion for what we do

    ComplEtE was born from the experience and the passion of a group that for over thirty years has loved this job and has put everything it has learned into this new platform, in continuous functional and technological evolution.

COMPLETE SMART SERVICES

Compose, Simulate, Optimize your own Supply Chain

Strategic Network Simulator

Network Design – Main purpose:

Minimize the global balance (costs – revenues) in the entire planning horizon and in the entire logistic perimeter.

  • Revenues: the sum of the gains received from the customers for the satisfied demands
  • Cost: they take into account:
    – Travel costs of material within the network (for each transport type: plane, truck, train…)
    – Purchase of row materials from suppliers
    – Variable cost related to production and management of material
    – Fixed cost related to entire plants and single type of production
    – Costs to activate not-yet existing sites
    – Costs to deactivate no-more used sites
    – Penalty due to not-satisfied demands

Network Design – Main goals:

  • Productive and distributive network design considering node transitions cost and time
  • Mathemathical algorithms to compute the optimal demand, production, distribution allocation, through production and distributions nodes
  • Multi-level complexity model ables to aggregate or disaggregate productive and distributive resources, adapting them to the desired level of complexity
  • Multi-simulation and multi-scenario system to evaluate distributive and productive network performance
  • Automatic alerting system for the productive and distributive bottle necks

Tactical DRP:

  • Demand profile iterative calculation on all the levels of the distribution network (multi-level reforecast)
  • Target stock and Replenishment need calculation on all the levels of the distribution network
  • Material need propagation through the logistic network and critical missing real-time evidence alerting system
  • Automatic distribution plan definition accross all the network nodes
  • Integrated cooperative system to evaluate and synergize several distribution plans
  • Approvative and cooperative configurable workflow

Demand Management

Extrapolative techniques of the historical series:

  • Computation of the best forecast curve by a parametric voting system (best-fit)
  • Trend and seasonality computation with ad-hoc mathematical algorithms
  • Automatic highlight of statistical anomalies (outliers)
  • Capability of sporadic series study
  • Forecast and projection of newness, substitutions and end-of-life products. Enhanced phase in and phase out management
  • Factors influencing demand:
    – Detail level: SKU, product family, customer, region…
    – Forecast horizon and bucket dimension (week, month, quarter…)
    – Historical data: sell-in, sell-out, customer orders…

Causal methods correlation based:

  • Multi-axis demand clustering
  • Automatic correlation beetween orders or sales trends and exogenous variables
  • Parameters, quantities and values forcings. What-if simulations

Qualitative methods collaboration based:

  • Multi-axis top-down and bottom-up exploration of predictive and historical information
  • Sharing and harmonization of data among different processes and users (sales, logistics, production…)
  • Forcings at every aggregation level
  • Approving Workflow collaborative and easy to configure

Stock Target Management:

  • Easy generation of the distribution network, the relationships beetween items and wharehouses , times and cost matrix
  • Safety stock computation, with heuristic or mathematic rules, for each item / logic node
  • Rolling real-time fine tuning of the safety stock proposals, as a function of a given safety stock level and the actual sales
  • Sophisticated mathematical library (simplex method) for the optimization of the stock mix
  • Customizable logics for demand slotting and for demand netting
  • Clustering and splitting paremetrizable algorithms

Network Inventory Management

Network Design:

  • Productive and distributive network design considering node transitions cost and time
  • Mathemathical algoritms and euristics to assign aggregated demand to production/distributions nodes
  • Multi-level complexity model ables to aggregate or disaggregate productive and distributive resources, adapting them to the desired level of complexity
  • Multi-simulative and multi-scenario system to evaluate distributive and productive network performance
  • Automatic alerting system for the productive/distributive bottle necks
  • Atutomatic or semi-automatic reacting system to evaluate alternatives with their costs and their timings

Tactical DRP:

  • Demand profile iterative calculation on all the levels of the distribution network (multi-level reforecast)
  • Target stock and Replenishment need calculation on all the levels of the distribution network
  • Material need propagation through the logistic network and critical missing real-time evidence alerting system
  • Automatic distribution plan definition accross all network nodes
  • Integrated cooperative system to evaluate and synergize several distribution plans
  • Approvative and cooperative configurable workflow

Multi Level Orders Promising:

  • Automatic system to determine how, when and where satisfy customer demand
  • Shipment proposal cooperative forcing environment
  • Multi-node and multi-lane service for distribution node need satisfaction using fair share logics
  • Multi-level integrated capable to promise (CTP) functionalities, to determine the distribution opportunities across the nodes, the productive limits of the plants and the suppliers availability to satisfy purchase requests
  • Cooperative multi-simulative integrated environment to validate and release the distribution plan

Enterprise Production Planning

Enterprise Capacity Planning:

  • Indipendent demand aggregate planning, with finite / infinite capacity check of resources, assets, teams & constraints capacities into a multi-plant complex network
  • Strategical, Tactical and Operative planning on physical (machines, teams, assets) and logical (families, campaigns…) resources and items
  • Production proposal generation, finite capacity validated by considering complex BoM explosion, raw material needs, minimum lots, optimum mix logics
  • Cooperative and simulative environment with the purpose of sharing scenarios, what-if analysis and forcings in order to obtain a consensus MPS

Inventory Control:

  • Multi axis/warehouse stock computation & monitoring with real time computation of KPIs about costs, coverage time, stock rotation index, customer service…
  • Generation of simulative scenarios, what-if evaluation of different policies about stock coverage, production, replenishment…
  • Capability to force every element at every clustering level (multi-axis aggregation) and share, compare and collaborate on different simulative scenarios, strategies, policies

Provisioning Planning:

  • Aggregate purchase plan on a medium term horizon
  • Operative Purchase Plan (Master Purchase Plan) with purchase proposals computation according to the finite capacity check of all BoM levels constraints
  • Capacity models (weekly/monthly rate, maximum supply capacity…) for suppliers and contractors
  • Critical materials and supppliers highlighting

Capable to Promise:

  • Real time evaluation of customer orders / demands fulfillment in term of lateness, financial and manufacturing impact
  • Priority and ranking rules for orders fulfillment computation
  • Multiplant, multiwharehouse and multilane logics
  • Order confirmation and «chain freeze» capability

Master Plan Generation:

  • Replenishment plan computation, demand netting comparing independent demand (Customer Orders, Forecasts, Safety Stock needs) against the Deposit Plan (on-hand, productions, in-transit goods, planned work orders)
  • Different math-heuristic algorithms for the Master Production Plan generation
  • Shipping, suppliers and transportation calendars
  • Multi-axis, multi-level and multi-hierarchy forcing at every aggregation level

Production Scheduling

Plant Operations Scheduler:

  • Operations Scheduling and Syncronization
  • Constrained activity allocation on plants, working centers, machines, work teams, tools, materials and generic assets
  • ComplEtE integration with the planning system to inherit strategical/tactical level defined production/commercial constraints
  • Multi step Push-Pull activities scheduling
  • Impact analisys of high priority demands on the actual scheduled production plan
  • Multi-simulative and multi-scenario forcing environment, to rapidly change the production plan and support decisions
  • Real-time reaction of graphical objects during forcing, to understand immediately violated constraints and possible solution
  • Short-term purchase plan proposal and sollicit report to identify the most critical purchases still not delivered
  • Critical materials report to identify the impact of shortage and evaluate possible alternatives (make or buy / alternative resources)

Local Optimizer:

  • Sequence optimization by working center, machine, local machine groups
  • Local rescheduling optimization, considering planning inherit constraints and shop floor feedback
  • Production constraints (resources, materials, work teams, tools) and logical constraints (sequence, parallelization, pert relations, partial deposits, production compatibility) management
  • Production plan generation and deploy to operators and production lines through notifications on smart accessories (if supported) and by e-mail
  • Requirements plan deploy to warehouse, quality and maintenance offices
  • Cooperative advanced system to manage the cohexsistence of multiple planners and possible inconsistencies
  • Monitoring and real-time reactions to shop floor events with automatic or semi-automatic rescheduling procedure with automatic publishing of impact reports

Supplier Collaboration

Work Plan Collaboration:

  • Fully or partially integrated with the company supplier portal
  • Create, validate e publish short or middle-term plans to suppliers and constractors
  • Share documentation as sketches, technical schemas, control and preparation plans
  • Select the best supplier through auctions or calls for tender
  • Workflow based debate on shipment dates, plans, costs and quality
  • Order confirmation events alerts or automatize ERP system order confirmation procedures

Work Plan Execution:

  • Incoming materials management reports
  • Control and Share plan progress with all actors involved
  • Real time monitoring of stock level for any owned internal and external warehouse
  • Quality control plans execution
  • Control the preparation and the execution of delivery plans

Notification Management:

  • Integrated event logging system and workflow engine to generate and dispatch alerts when needed where needed
  • Different calendars for internal production and any supplier
  • Company mailing system integration
  • Notifing engine to alert on inspection plan and quality control activities
  • Real-time monitoring system on costs, delays, quality and bottle neck of any managed process

Shop Floor Management

Orders Management:

  • Recording of start and suspension events, restart and end of each activity (setup, startup, working, reworking, maintenance) linked to order/operation to calculate, automatically, machine and personell time
  • Recording of the the progression of produced, scrapped and «wait for approval» quantities
  • Recording of downtime events linked to order/operation
  • Recording of usage of materials lots by order/operation
  • Lots tracking and tracing, orders genealogy
  • Online documentation access (drawing, products card, pictures, clips)
  • Production documentation generation (work order, sheet, labels, picking list)
  • Native integration with IOT Platform

Warehouse:

  • Products and material warehouses mapping
  • Inter-operational warehouses mapping (wip)
  • Picking missions generation for feeding production and shipment
  • Deposit missions generation for storing on warehouse or feeding production
  • Handling units cycle of life management
  • Scraps, reworking, repair management
  • Product re-configuration (remove and put)
  • Material acceptation management
  • Shipment management
  • Warehouses level real time monitoring

Quality:

  • Document management
  • Input material sequence of controls linked to vendor rating
  • Subcontractor’s material controls
  • Suppliers vendor rating calculation
  • Control plans management and association to productive processes
  • Management of no-compliance, claims, corrective and preventive actions
  • Inspections and audit management
  • Measuring equipments management
  • Automatic production controls, driven by collecting data from IOT Platform
  • Check-list, (Kpi) and dashboard
  • Human resource management

Maintenance:

  • Alert generation through the usage of predictive models based on machine learning methods, fed by IOT Platform real time data
  • Remote interaction with machines, sensors, in order to activate and edit measuring parameters (frequency, thresholds…)
  • Maintenance plans generation, depending on expiration policies
  • Interventions plan assigned to the maintener men
  • Spare parts and components warehouse management
  • Maintenance activities execution, recording time spent and spare parts used
  • Main maintenance KPIs (ISO22400) monitoring: MTBF, MTTF, MTTR