TY - JOUR AB - Purpose These days vehicles' spare parts (SPs) are a very big market, and there is a very high demand for these parts. Forecasting vehicles' SPs price and demand are difficult because of the lack of data and the pricing of the SPs is not following the normal value chain methods like normal products.Design/methodology/approach A proposed model using multiple linear regression was developed as a guide to forecasting demand and price for vehicles' SPs. A case study of selected hybrid vehicle is held to validate the results of the research. This research is an original study depending on quantitative and qualitative methods; some factors are generated from realistic data or are calculated using numerical equations and the analytic hierarchy process (AHP) method; online questionnaire and expert interview survey.Findings The price and demand for SPs have a linear relationship with some independent variables is the hypothesis that is tested. Even though the proposed models are generally recommended for predicting demand and price, in this research the linear relationship models are not significant enough to calculate the expected price and demand.Originality/value This research should concern both academics and practitioners since it provides new intuitions on the distinctions between scientific and industrial world regarding SPs for vehicles as it is the first study that investigates price and demand of vehicles' SPs. VL - 27 IS - 3 SN - 1355-2511 DO - 10.1108/JQME-03-2020-0019 UR - https://doi.org/10.1108/JQME-03-2020-0019 AU - Alalawin Abdallah AU - Arabiyat Laith Mubarak AU - Alalaween Wafa AU - Qamar Ahmad AU - Mukattash Adnan PY - 2020 Y1 - 2020/01/01 TI - Forecasting vehicle's spare parts price and demand T2 - Journal of Quality in Maintenance Engineering PB - Emerald Publishing Limited SP - 483 EP - 499 Y2 - 2024/03/29 ER -