دانلود مقاله ISI انگلیسی شماره 108021
ترجمه فارسی عنوان مقاله

بهینه سازی مشترک طراحی، گارانتی و قیمت برای محصولات فروخته شده با قراردادهای خدمات تعمیر و نگهداری

عنوان انگلیسی
Joint optimization of design, warranty and price for products sold with maintenance service contracts
کد مقاله سال انتشار تعداد صفحات مقاله انگلیسی
108021 2017 36 صفحه PDF
منبع

Publisher : Elsevier - Science Direct (الزویر - ساینس دایرکت)

Journal : Reliability Engineering & System Safety, Volume 165, September 2017, Pages 197-208

ترجمه کلمات کلیدی
قرارداد خدمات، ضمانتنامه، تعمیر و نگهداری پیشگیرانه، حداقل تعمیر فروش تجمعی،
کلمات کلیدی انگلیسی
Service contract; Warranty; Preventive maintenance; Minimal repair; Cumulative sales;
پیش نمایش مقاله
پیش نمایش مقاله  بهینه سازی مشترک طراحی، گارانتی و قیمت برای محصولات فروخته شده با قراردادهای خدمات تعمیر و نگهداری

چکیده انگلیسی

In this paper a modeling framework for optimal design, warranty and price for new products sold with a maintenance service contract is developed. The model considers situations with one customer and a unique service provider which is the Original Equipment Manufacturer (OEM). The latter intends to offer with each sold product a service contract according to which he commits to perform all maintenance actions over the product lifecycle. Four contract options are to be investigated by the manufacturer depending on the coverage period and the nature of the maintenance activities to be performed. Two scenarios, related to product warranty and price, are considered. The learning effects arising from the impact of the total sales volume on the product price, as well as the impact of the experience gained in the product maintenance on the preventive maintenance cost are also considered. The model allows the manufacturer to set the optimal combination of the product design (reliability), sale price and warranty period which maximizes the discounted profit over the product lifecycle for each option and for the two scenarios of pricing and warranty. The necessary optimality conditions for each scenario are derived.