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BusinessQlik for Plants/Manufacturing

Product
The name of the base system (platform): QlikView
Developers: BI Consult (Bee Ai Consult)
Date of the premiere of the system: 2015/01/01
Last Release Date: 2015/06/01
Branches: Gas industry,  Light industry,  Metallurgical industry,  Oil industry,  Food industry,  Construction and industry of construction materials,  Chemical industry,  Jewelry industry
Technology: BI

BusinessQlik for Plants/Manufacturing is a BI production management system.

BusinessQlik for Plants/Manufacturing (2016)

The main objective of a production management system at the enterprise — ensuring continual improvement of industrial production, achievement of the best end results with the smallest costs material, labor and of course financial resources, unconditional accomplishment of plan targets.

Tasks

  • implementation of marketing strategy in production - formation of a system of the productive activity focused on demand;
  • production process balancing - synchronization of production and different business processes; purchases, planning, sales, research and development;
  • independence of circumstances - risk minimization of change of suppliers, mismatch to regulatory requirements and growth of expenses;
  • control of production losses - the transparent system of production chains of value creation and points of emergence of losses;
  • transparent management of reengineering and technology innovations - effective control of use of modern methodologies of improvement of processes (Six Sigma, Lean, TPS, etc.).

Functionality

  • carry out the analysis of dynamics of release, defects percent, timing of transactions and loss;
  • analyze dynamics of schedule performance of production by workshops, crews and individual employees;
  • model cost value depending on change of different factors;
  • estimate efficiency of certain platforms, workshops, crews, work centers, contractors, etc.;
  • reveal points of emergence of failures in balance of a production process;
  • in advance to predict deviations from plans and to approve interdependent production processes;
  • carry out contrastive analysis of any data arrays by any set criteria in a tabular and graphic style;
  • prepare the necessary "flat" reporting;
  • create notifications at emergence of threshold KPI values.
  • consolidate data from all systems implemented at the enterprise (ERP, SCM, MES, etc.).