Spare parts inventory control based on maintenance planning

Abstract

For many maintenance organizations, on-condition maintenance tasks are the most important source of spare part demand. An uneven distribution of maintenance tasks over time is an important cause for intermittency in spare parts demand, and this intermittency complicates spare parts inventory control severely. In an attempt to partially overcome these complications, we propose to use the maintenance plan, i.e. the planned maintenance tasks, as a source of advance demand information. We propose a simple forecasting mechanism to estimate the spare part demand distribution based on the maintenance plan, and develop a dynamic inventory control method based on these forecasts. The value of this approach is benchmarked against state-of-the art time series forecast methods, using data from two large maintenance organizations. We find that the proposed method can yield cost savings of 23 to 51% compared to the traditional methods.

Forecasting Spare Parts Demand of Military Aircraft: Comparisons of Data Mining Techniques and Managerial Features from the Case of South Korea

“…Particularly, spare parts demand forecasting is essential to spare parts inventory control, and it has been notoriously difficult because the demand of spare parts is typically irregular and lumpy. As a result, forecasting the spare parts demand has become even more critical [8,32,33]. Table 1 shows the previous works, searched initially by us to investigate spare parts demand forecasting in various industries.…”

A two-stage fuzzy multi-criteria approach for proactive maintenance strategy selection for manufacturing systems

“…When a breakdown occurs [50] (criteria DR 131 , DR 121 , DR 122 , DR 123 , DR 124 , and DR 124 ), reinstating the equipment depends on the competence of the workforce [51,52] (criterion FR 143 ) and the maintenance resources [53,54] (criteria DR 111 , DR 112 , DR 113 , DR 114 , and FR 123 ) available to the maintenance team. Encouraging a philosophy of reliability (criterion FR 134 ) among team members assists to establish the measures [55,56], for instance, mean time to restore (criterion FR 121 ), mean time between maintenance (criterion FR 124 ), mean time between failures (criterion FR 122 ), the number of defective products (criterion DR 132 ), maintenance workforce cost (criterion FR 111 ), spare parts cost [53,54] (criterion FR 112 ), overhead cost (criterion FR 113 ), and consultancy cost (criterion FR 114 ) are constantly tracked and enhanced while adopting the most appropriate maintenance strategy for the rolling mill plant [53,54]. Furthermore, the decision-maker needs to implement strategies to minimize maintenance time [57,58] (criteria DR 113 , DR 121 , DR 122 , DR 123 , DR 124 , and DR 133 ) and permit the plant to function at the uppermost efficiency (criterion FR 123 ) that it can.…”

“…The cost of spare parts is a principal factor while deciding the appropriate maintenance strategy for attaining the goals of maintenance. The reason is that spare parts cost has a direct influence on attaining a high service level and make the implementation of maintenance strategy more effective and efficient [53,54]. The cost of spares is often minimal when the right maintenance strategy is implemented.…”

Analisis Availabilitas Perusahaan Pythalic Anhydride Berdasarkan Persediaan Spare Part dan Penyangga

“…Availabilitas sistem dapat diperbaiki dengan pembelian dan pemasangan alat baru, atau melakukan perawatan pada peralatan yang masih memiliki kondisi yang baik (Sabouhi, Abbaspour, Fotuhi-Firuzabad, & Dehghanian, 2016). Selain kedua kebijakan tersebut, perbaikan availabilitas sistem juga dapat dilakukan dengan menerapkan kebijakan pengendalian persediaan spare part (Jiang, Chen, & Zhou, 2015;Zhu, Jaarsveld, & Dekker, 2020) dan persediaan penyangga (Sleptchenko & van der Heijden, 2016;Sheikh-Zadeh, Farhangi, & Rosetti , 2020).…”