Using data analytics as a decision support platform for effective production planning
Typ
Examensarbete för masterexamen
Program
Production engineering (MPPEN), MSc
Publicerad
2020
Författare
Kandasamy, Naveen Kumarr
Paramasivan, Subbiah Balaji
Modellbyggare
Tidskriftstitel
ISSN
Volymtitel
Utgivare
Sammanfattning
Material planning has a huge impact on the performance of Engineer to Order (ETO)
companies. Since the ETO companies initiate the product design, raw material procurement
and production after the customer places the order, it is difficult to have
a forecast of required raw materials, so the procurement of crucial materials and
components needed for production is done after the customer places the order. This
creates an uncertainty for the materials to arrive in time for the production. If there
are material and component delays, then it is difficult to follow the pre-planned production
plan. This creates a need to replan the prepared production plan, which
creates a ripple effect and disrupts the entire production flow. So, there is a need
to have a right system to visualize the material planning flow from the design team
in the company to the procurement department to the production planning department,
as this will give an overall visual mapping of the material flow and enable
better production planning. This visual map can help the production planners to
prepare a reliable production plan by considering the late arrival materials and planning
the production accordingly in such a way that the production plan does not
require replanning due to later arrival of materials. Data analytics softwares can be
used for this purpose of mapping and visualizing the material flow.
Beskrivning
Ämne/nyckelord
Engineer to order, Production planning, Shop order planning, ERP , Material Planning, Data analytics, RStudio, Tableau