دانلود مقاله ISI انگلیسی شماره 16199
عنوان فارسی مقاله

برنامه ریزی رباتیک کنترل مواد در سیستم های تولید انعطاف پذیر برای مشتری گرایی انبوه

کد مقاله سال انتشار مقاله انگلیسی ترجمه فارسی تعداد کلمات
16199 2010 6 صفحه PDF سفارش دهید 4200 کلمه
خرید مقاله
پس از پرداخت، فوراً می توانید مقاله را دانلود فرمایید.
عنوان انگلیسی
Robotic material handler scheduling in flexible manufacturing systems for mass customization
منبع

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

Journal : Robotics and Computer-Integrated Manufacturing, Volume 26, Issue 6, December 2010, Pages 671–676

کلمات کلیدی
- برنامه ریزی ربات - برنامه ریزی پویا - مشتری گرایی انبوه - ساخت برای سفارش - حفظ تعادل حجم کار پویا
پیش نمایش مقاله
پیش نمایش مقاله برنامه ریزی رباتیک کنترل مواد در سیستم های تولید انعطاف پذیر برای مشتری گرایی انبوه

چکیده انگلیسی

The scheduling problem of robotic material handlers in flexible manufacturing systems (FMSs) is NP-hard. This paper proposes a state-dependent algorithm for the FMS robot scheduling problem in make-to-order (MTO) environments for mass customization (MC). A mathematical model of the problem is formulated. A computational study of the proposed algorithm is performed. The algorithm is compared to an effective FMS robot scheduling rule, the shortest remaining processing time first (SRPF) rule. The results reveal the effectiveness of the algorithm in increasing the productivity-based measures of the FMS. Practical application insights are discussed. Further research is also provided.

مقدمه انگلیسی

Enterprises place more efforts on customer requests to obtain competitive advantage in global competition. Mass customization (MC) is aimed to give customers exactly what they want with low-cost, high-quality in ever changing environments [1]. Customer co-design and customer specified manufacturing are often performed in MC systems and make-to-order (MTO) or build-to-order (BTO) processes are often utilized [2], [3] and [4]. A flexible manufacturing system (FMS) is an integrated, computer-controlled complex of automated material handling devices and numerically controlled machine tools that can simultaneously process medium-sized volumes of a variety of part types [5]. FMSs can produce product components within its wide envelope of variety and can be used to automate MC [1]. The design and operation of FMSs involve the problems that can be formulated as quantitative problems and approached through operations research methods. The problems are categorized as design, planning, scheduling, and control problems [6].

نتیجه گیری انگلیسی

This paper proposes a state-dependent algorithm for the FMS robot scheduling problem in MTO environments for MC. A mathematical model of the problem is formulated. The strategy of dynamic workload balancing and the SRPF rule are applied to the development of the applicable and effective algorithm. The performance of the algorithm is compared to SRPF, an effective FMS robot scheduling rule. The results indicate that the proposed algorithm is effective in increasing the productivity-based measures of the FMS. The investigation also reveals the effectiveness of dynamic workload balancing in improving the productivity-based measures for the problem. The proposed algorithm provides practical application insights for FMS management. As customer requirements increase in importance, enterprises have to make quick response to customer orders and apply corresponding strategies and approaches. Many enterprises approach MC. FMS managers may face today the challenging situation of MTO environments. They have to respond to customer orders dynamically in the environments. The proposed algorithm could be applied to robot scheduling of the FMSs approaching MC.

خرید مقاله
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