Nurhasanah, Nunung and Khoeriyah, Mubarokhatun (2013) Fuzzy lead time application to material requirement planning piano UP B1 PE. Proceeding of the 13th International Conference on QIR (Quality in Research). pp. 816-821. ISSN 1411-1284
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Abstract
All the manufacturers are always tries to fulfill fluctuating and uncertain market demand in satisfy the customer needs. PT. XYZ is a music equipment manufacturing, especially piano. Over the last 2 years piano type UP B1 PE has the highest sales. This research aims to estimate the length of lead time an optimal ordering of raw materials and raw materials requirement planning for next 5 months. Estimated lead time of ordering raw materials made using two methods, namely fuzzy techniques and Monte Carlo simulations. Both methods will then be compared using statistical techniques two side independent test using a significance level of 0.05 to determine the shortest lead time of ordering raw materials. To plan the requirement of raw materials use techniques of material requirements planning (MRP) because this method can be implemented in the company. The results showed that the lead time of ordering raw materials using fuzzy techniques is smaller than the Monte Carlo simulation. To plan raw material piano UP B1 PE companies must begin planning on 6 November 2010 are for a component Treble Bridge. While the raw materials requirements planning piano UP B1 PE will end on June 23, 2011 as many as 26 types of components
Item Type: | Article |
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Additional Information: | Presented in The 13th International Conference on QiR (Quality in Research) on 25-28 June 2013 in Yogyakarta, Indonesia. |
Uncontrolled Keywords: | lead time; material requirement planning; order; fuzzy; simulation |
Subjects: | 600 Applied sciences & technology > 650 Management & public relations > 658 General Management |
Divisions: | Universitas Al-Azhar Indonesia (UAI) > Fakultas Sains dan Teknologi (FST) |
Depositing User: | Rifda Jilan |
Date Deposited: | 05 Aug 2023 05:11 |
Last Modified: | 05 Aug 2023 05:56 |
URI: | http://eprints.uai.ac.id/id/eprint/2359 |
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