دانلود مقاله ISI انگلیسی شماره 50599
ترجمه فارسی عنوان مقاله

جعبه ابزار برای طراحی، برنامه ریزی و بهره برداری از شبکه تولید در یک محیط مشتری گرایی انبوه

عنوان انگلیسی
A toolbox for the design, planning and operation of manufacturing networks in a mass customisation environment
کد مقاله سال انتشار تعداد صفحات مقاله انگلیسی
50599 2015 13 صفحه PDF
منبع

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

Journal : Journal of Manufacturing Systems, Volume 36, July 2015, Pages 274–286

ترجمه کلمات کلیدی
مشتری گرایی انبوه - طراحی کردن - برنامه ریزی - شبکه های تولید - پیچیدگی - متاهیستریک
کلمات کلیدی انگلیسی
Mass customisation; Design; Planning; Manufacturing networks; Complexity; Metaheuristics
پیش نمایش مقاله
پیش نمایش مقاله  جعبه ابزار برای طراحی، برنامه ریزی و بهره برداری از شبکه تولید در یک محیط مشتری گرایی انبوه

چکیده انگلیسی

The task of design, planning and operation of manufacturing networks is becoming more and more challenging for companies, as globalisation, mass customisation and the turbulent economic landscape create demand volatility, uncertainties and high complexity. In this context, this paper investigates the performance of decentralised manufacturing networks through a set of methods developed into a software framework in a toolbox approach. The Tabu Search and Simulated Annealing metaheuristic methods are used together with an Artificial Intelligence method, called Intelligent Search Algorithm. A multi-criteria decision making procedure is carried out for the evaluation of the quality of alternative manufacturing network configurations using multiple conflicting criteria including dynamic complexity, reliability, cost, time, quality and environmental footprint. A comparison of the performance of each method based on the quality of the solutions that it provided is carried out. The statistical design of experiments robust engineering technique is used for the calibration of the adjustable parameters of the methods. Moreover, the impact of demand fluctuation to the operational performance of the alternative networks, expressed thorough a dynamic complexity indicator, is investigated through simulation. The developed framework is validated through a real life case, with data coming from the CNC machine building industry.