The Laptop Spare Parts Studying under Considering Users’ Repair Willingness

Abstract

With the development of science and technology, laptop becomes very popular. Laptop manufacturing firms are concerning how much spare parts they shall prepare to meet the demand of repairing. The quantities of spare parts are not only related to laptop life time, but also concern with users' repair willingness. We propose an approach to calculate the repair probability of laptop parts combined Poisson Process with users' repair willingness. In this study, the users' repair willingness relates laptop parts failure frequency. The new approach's verification is carried on by simulation. The significant test results show that simulation data fit theoretical value very well. By survey data and simulation result, we find that after four times broken for a laptop, a user will give up repairing it. The calculation result of new approach shows that spare parts quantities are entirely lower than traditional theory. From this point, if laptop manufacturers know their each parts lifetime, with the help of this paper, they can cut down their spare parts and save their service costs reasonable than before.

Forecasting spare part demand with installed base information: A review

“…The part replacement probability is also discussed by Lu & Wang (2015), who assume that the repair willingness of a customer decreases with the cumulative number of breakdowns the product as a whole has experienced in the past. Lu & Hjelle (2016) extend this idea by evaluating whether users will have their product repaired depending on both the number of past failures and the use time.…”

“…These papers are excluded from Table 11. Moreover, some authors apply their method to a real dataset, but without validation to the actual demand (e.g., Ghodrati & Kumar, 2005a,b;Kontrec et al, 2015), or evaluation relative to other methods (e.g., Ritchie & Wilcox, 1977;Jin & Liao, 2009;Lu & Wang, 2015). And in those cases were the methods are evaluated, we find that very different measures (e.g., inventory costs, Mean Absolute Deviation (MAD), Mean Squared Error (MSE), Mean Absolute Percentage Error (MAPE)) and benchmark methods (e.g., current company policy, SBA, CR, SES, bootstrapping) are applied.…”

“…x x x Deshpande et al (2006) x x x Hua et al (2007) (H) Hong et al (2008) x 2012x x Lanza et al (2009) x x x x Jalil et al 2011x x (H) x Minner 2011x x x Wang & Syntetos (2011) x x x Barabadi (2012) x x Romeijnders et al 2012(H) Hong & Meeker (2013) x x x Barabadi et al (2014) x x x x Hellingrath & Cordes (2014) x x x Chou et al (2015) x x x x x Hu et al (2015) x x x Kontrec et al (2015) x x x Lu & Wang (2015) x x x x Gharahasanlou et al (2016) x x x x Chou et al (2016) x Kim et al (2017) x x x x Kontrec & Stefan (2017) x x x Qarahasanlou et al (2017) x x x x Si et al (2017) x Stormi et al (2018) x x x (H) Fortuin (1984) Linear growth function Yamashina (1989) Time dependent sales rate / Lump production Jin & Liao (2009) Homogeneous Poisson Process Minner 2011Logistic growth function Jin & Tian (2012) Homogeneous Poisson Process Liu & Tang (2016) Deterministic Table 7: Assumptions on the distribution of the new sales…”

A New Model for Evaluating the Volume of Laptop Spare Parts Depending on Users’ Intentions Related to Laptop Use Time

“…As discussed in our first paper [3], we assume that Part1, Part2 and Part3 are 3 parts of a laptop. λ 1 , λ 2 , and λ 3 are their breakdown rates, respectively.…”

“…We previously published a paper about laptop spare parts quantities in consideration of users' intentions, which considered the number of times the laptop has broken previously [3]. In this paper, we discuss another case: the users' intention influenced by how long ago the laptop was bought.…”