Future Technology
Artificial intelligence at the service of the
Supply Chain
Managing your Supply Chain End To End
The Cooperative End to End Supply Chain Management Platform for your Company
ComplEtE® End To End Visibility
Keep the entire Supply Chain under control.
Create emergency groups to cooperatively resolve issues.
Simulate the effectiveness of corrective actions and implement the most convenient ones.
ComplEtE® Intelligence
Predict the volume of business and the impact on new markets, orchestrate commercial, logistical and production resources effectively, going beyond the limits of complexity leveraging the most advanced technology based on Artificial Intelligence.
ComplEtE® Optimization
Optimize every decision assisted by artificial intelligence algorithms. Simulate new solutions proposed by the system and compare them through standard KPIs and personalized reporting.
Managing your Supply Chain End To End
The Cooperative End to End Supply Chain Management Platform for your Company
ComplEtE® End To End Visibility
Keep the entire Supply Chain under control.
Create emergency groups to cooperatively resolve issues.
Simulate the effectiveness of corrective actions and implement the most convenient ones.
ComplEtE® Intelligence
Predict the volume of business and the impact on new markets, orchestrate commercial, logistical and production resources effectively, going beyond the limits of complexity leveraging the most advanced technology based on Artificial Intelligence.
ComplEtE® Optimization
Optimize every decision assisted by artificial intelligence algorithms. Simulate new solutions proposed by the system and compare them through standard KPIs and personalized reporting.
Why choose ComplEtE®
Technology. Experience. Passion.
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Modular Approach
As flexible as the Supply Chain of the future
All in Cloud
Cloud-based service ecosystem
Cyber Security
CyberSecurity at the center of everything
Cooperative Work
Shared simulation work environment
Simple is better
Fast, reliable and simple
ComplEtE® Smart Services
Strategic Network SimulatorDemand ManagementOrder Promise Inventory PlanningDistribution Resource PlanningSales & Operations PlanningAdvanced Planning SystemCooperative Supplier ManagementOperation SchedulingMOM
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 as the sum of the gross incomes from all the satisfied customers’ demands .
Costs as the sum of the following components:
- Material travel costs within the network (for each transport type: plane, truck, train…)
- Purchases of raw materials from suppliers
- Variable cost related to production and management of material
- Fixed cost for the usage of productive or distributive resources
- Costs of activation or deactivation of any productive, distributive network node
- Penalty due to not-satisfied demands
Main characteristics:
Productive and distributive network design considering node transitions cost and time
Mathematical algorithms to compute the optimal demand, production, distribution allocation, through production and distributions nodes
Multi-level complexity model 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
Consensus Demand Planning
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 / sales trends and exogenous variables
Paramters, quantities and values forcings. What-if simulations
Factors influencing demand:
- Company:
- Sales data, Price, Promotion
- Service Level
- Marketplace:
- Consumer perception
- Demographics
- Competition
- Innovation
- Regulation
- Economy
- Business Cycle
- Weather conditions
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
Factors influencing demand:
- Customer initiatives
- Events and promotions
- Macroeconomic trend variations
Order Promise
Available to Promise
Determining how, when and where to respond customer demand
Multi-node and multi-lane service at one level with the use of fair share logic
Integrated multilevel Capable To Promise (CTP) functions in terms of shipping capacity along the network, production by the production plants and supply by the supplier network
Integrated collaboration, simulation, validation and release environment
Multi-scenario and multi-simulation environment for assessing the performance of the production and distribution network
Simulation of production and distribution bottlenecks and proposal of alternative solutions together with costs and times
Inventory Planning
Stock Target Management
Easy generation of the distribution network, the relationships beetween items and wharehouses , times and costs 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 paremerizable algorithms
Inventory Control
Multi axis / wharehouse stock computation and monitoring
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)
Configurable and collaborative approval workflow
Sharing, comparison and collaboration on different simulative scenarios, strategies, policies
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
Distribution Resource Planning (DRP)
Main characteristics
Logistics network modeling
Demand distribution logic on the network based on shipment history and order performance
Generating transfer orders between nodes and highlighting links across the entire network
Capacity validation on individual warehouses
Management of transport cycles and the resources involved
Calculation of variable safety stocks for each warehouse/item or cluster of items based on sales or shipping forecasts
Calculation of the replenishment plan based on customer orders, forecast, production demand, onhand, in-transit, released production and stock targets (for each node defined in the multi-axis space)
Detailed management of goods receipt/shipment calendars, black periods and standard replenishment
periodicities
Inventory monitoring in the multi-axis warehouse/product characteristics space
Publication of cost indicators, coverage and stock rotation, customer service.
Sales & Operations Planning (S&OP)
Main characteristics
Forcing at any level of aggregation and distribution of forcing, according to incidence curves (automatic or user-guided)
Configurable approval and collaborative workflow
Calculation of variable safety stocks for each warehouse/item or cluster of items based on sales or shipping forecasts
Calculation of the replenishment plan based on customer orders, forecast, production demand, onhand, in-transit, released production and stock targets (for each node defined in the multi-axis space)
Detailed management of goods receipt/shipment calendars, black periods and standard replenishment periodicities
Inventory monitoring in the multi-axis warehouse/product characteristics space
Publication of cost indicators, coverage and stock rotation, customer service
Aggregate planning of demand, resources and production assets on a segmented and variable time horizon in multi or single production area scenarios
Tactical-operational planning of the main production plan (MPS plan) on physical resources and assets (such as machinery, manpower, equipment) or on logical resources (such as production campaigns, product families, multi-axis aggregations)
Operational planning of supplies with generation of supply or sub-supply proposals synchronized with the planning of production requirements
Evaluation of the impact of inserting new questions on an already consolidated plan, in terms of delivery times and available capacity.
Advanced Planning System
Resource Capacity Planning
Indipendent demand aggregate planning, with finite / infinite capacity check of resources, assets, teams & constraints capacities
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
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
Collaborative Supplier Management
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
Operation 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 solutions
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
MOM
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
Association between operators, machines, tools by 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)
Constraints and progress rules configurability
Graphic User Interface composable and responsive on every device (pc, tablet e smartphone)
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
Movimentation missions execution
Missing and give back materials 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
Finished product quality management
Automatic production controls, driven by collecting data from IOT Platform
Check-list, (Kpi) and dashboard
Human resource management
Maintenance
Predictive 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, ..)
Preventive maintenance
Extraordinary maintenance
- Call management on downtime or other events
- Alert generation and forwarding to maintenace responsible or operator (Pc/tablet/smartphone)
Spare parts and components warehouse management
Maintenance activities execution, recording time spent and spare parts used
Main maintenance KPIs (ISO 22400) monitoring:
MTBF (Mean Time Before Failure), MTTF (Mean Time To Failure), MTTR (Mean Time To Repair
News & Events
16 - 18 October
Rimini
10 - 12 June
Barcellona
07 - 09 April
Rimini Grand Hotel - Rimini
26 March
Crowne Plaza, Verona
06 February
04 December
Congress Center Hotel Parchi del Garda
04 December
04 December
Congress Center Hotel Parchi del Garda
No event found!
ComplEtE® Supply Chain Innovation Day
Ed. II – VIDEO FULL
2023
ComplEtE® Supply Chain Innovation Day
Ed. II – VIDEO SHORT
2023
ComplEtE® Supply Chain Innovation Day
Ed. II – VIDEO PROMO
2023
ComplEtE® Supply Chain Innovation Day
Ed. I – VIDEO FULL
2022
ComplEtE® Supply Chain Innovation Day
Ed. I – VIDEO PROMO
2022
ComplEtE® for
Fashion & Textile
Digital 360 Awards 2020:
Stefano Fazio presents ComplEtE®
Presentazione
DGS S.p.A.
DGS S.p.A.
DGS provides valuable services and solutions in the areas of Cyber Security, Digital Solutions and Management Consulting, supporting its customers in the full exploitation of new enabling technologies for security and digital business transformation.
Specialized in strategic consultancy, design, development, integration, implementation and maintenance of complex solutions and infrastructures based on all the major technologies on the market, the DGS offer covers the entire ICT value chain.
DGS has more than 500 customers, most of them Enterprise class, active in the main market segments: Public Administration, Banking and Insurance, Industry, Energy and Utilities, Transport and Telecommunications.
With the business line of Mangement Consulting, DGS extends the field of application of management consulting services to ICT Strategy and Governance, in the areas of strategy, governance and process engineering, already offered in Cyber and Data Protection field.
DGS builds and delivers ERP, CRM, SCM, Big Data,Analytics focalizzate su tecnologie Microsoft, including the ComplEtE® suite, a next-generation end-to-end solution offered in SaaS mode on Azure cloud and natively integrated with Microsoft ERP, CRM and IoT components.
Thanks to investments in Research and Development, DGS experiments with the most innovative technologies, such as Blockchain, Machine Learning, Artificial Intelligence, Big Data, in many different sectors: Circular Economy, Agri-Food Chain, Cyber-Physical Supply Chain, Cybersecurity, Industry 4.0.
DGS is part of the Competence Center for Security and Optimization of Strategic Infrastructures START 4.0, one of the 8 highly specialized competence centers on Industry 4.0 issues, provided by MISE, whose activities focus on five application domains: Energy, Transport, Water, Production, Port.
Contact
Rome
Via Paolo di Dono, 73
00142 ROME
ITALY
Phone +39 06 5811893 – fax +39 06 58300182
Bari
Via Marco Partipilo, 30
70124 BARI
ITALY
Phone +39 080 8641619 – 8641620
Head office:
Piazza Aurelio Saffi, 5/2
17100 SAVONA
ITALY
email: complete@dgsspa.com