INVENTORY CONTROL OF CRITICAL SPARE PART BASED ON FNS ANALYSIS | Zendy

Niken Trisnawati | Zendy; Oyong Novareza | Zendy; Agustina Eunike | Zendy

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INVENTORY CONTROL OF CRITICAL SPARE PART BASED ON FNS ANALYSIS

Author(s) -

Niken Trisnawati,

Oyong Novareza,

Agustina Eunike

Publication year - 2016

Publication title -

journal of engineering and management in industrial system

Language(s) - English

Resource type - Journals

eISSN - 2477-6025

pISSN - 2338-3925

DOI - 10.21776/ub.jemis.2016.004.01.2

Subject(s) - spare part , stockout , economic order quantity , operations management , inventory control , service (business) , operations research , service level , probabilistic logic , lead time , reduction (mathematics) , computer science , business , reliability engineering , engineering , mathematics , supply chain , marketing , artificial intelligence , geometry

Krebet Baru I Sugar Factory is a producer of sugar that operate on the milling season that start from June until November 2015. The problem that occured in the Krebet Baru I were ineffectively and inefficiently spare parts inventory policy that cause stockout and led to production process stoppage. This research used FNS analysis for the classification spare parts and EOQ Probabilistic method for calculation of stockout probability, optimum Q and ROP, total cost, also service level which were would be compared with existing policy. The research resulted that 44 types of spare parts categorized as urgent, 8 types else categorized as critical. EOQ Probabilistic method was chosen as the best method of control policy, with total cost reduction by 12%-93% and service level increase by 995-100% than existing policy which resulted a total cost by Rp 5.004.890 – Rp 142.647.057 and service level by 0%-30%.

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