Planning Engineer İş İlanı

İşveren Hakkında

QUALIFICATIONS AND JOB DESCRIPTION

Döktaş Iron Casting has been founded in 1973, in Orhangazi county of Bursa city is the biggest and leader foundry in Turkey. In Bursa Orhangazi facilities cast iron, nodular cast iron and machining activities and in Manisa Organized Industrial Zone facilities high and low pressured aluminum cast and aluminum rim production are being carried on.

Döktaş has joined GÜRİŞ Holding Industrial Group in July 2018.

Döktaş with its annual production capacity of 160.000 tons of cast iron, 14.400 tons of aluminum cast and 1.440.000 pieces of rim, produces aluminum, nodular cast iron and grey cast iron to the automotive, construction machinery, agricultural machinery and machinery manufacturers.

Being in 160th rank in ISO Top 500 Companies List in 2018, Döktaş has an important place in Turkish economy with its 2.500 employees.

We’re looking for a “Planning Engineer” for our Bursa/Orhangazi Plant and We’re waiting for the application of the candidates providing the following qualifications:

  • Bachelor’s Degree in Engineering (Preferably Industrial Engineering)
  • Proficient in MS Office
  • ERP Planning Skills
  • MRP and SAP knowledge,
  • Technical knowledge of bill of material structuring
  • 1-3 years of planning experience
  • Ability to work in team
  • Analytical skills including utilizing a well-ordered approach to solving problems
  • No military service for male candidates
  • Residing or Can Reside in Yalova, Orhangazi, Gemlik or Bursa


Job description:


  • Preparation of production schedules in accordance with the orders
  • Control the realization of prepared production schedules
  • Preparation of material requirements for manufactured part
  • Monitor inventory levels to ensure plant inventory objectives are met
  • Managing Phase In / Phase Out to avoid obsolete material
  • Ensure accuracy of MRP system
  • Follow up main production KPI’s and improve total plant productivity by initiating & leading;

o Capacity improvement studies

o Production scheduling improvement studies

o Cost reduction studies

o Manufacturing optimization studies