کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
386662 | 660889 | 2009 | 10 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
The impact of estimation error on the dynamic order admission policy in B2B MTO environments
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موضوعات مرتبط
مهندسی و علوم پایه
مهندسی کامپیوتر
هوش مصنوعی
پیش نمایش صفحه اول مقاله
![عکس صفحه اول مقاله: The impact of estimation error on the dynamic order admission policy in B2B MTO environments The impact of estimation error on the dynamic order admission policy in B2B MTO environments](/preview/png/386662.png)
چکیده انگلیسی
When swarming demands cause stringent capacity situations, order promising becomes a challenging job. However, a dynamic order admission policy by utilizing the concept of revenue management may find a good way to solve the problem. Unfortunately, the expected profit under different dynamic order admission policies is sensitive to the estimation error of order forecasts. In this paper, the impact of estimation error is investigated under various order structures. The post analysis is performed and shows significant statistical difference among the optimal unbiased DSKP policy, biased DSKP policy, and FCFS policy. The results reveal the robustness and superiority of DSKP policy in most scenarios.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Expert Systems with Applications - Volume 36, Issue 9, November 2009, Pages 11782–11791
Journal: Expert Systems with Applications - Volume 36, Issue 9, November 2009, Pages 11782–11791
نویسندگان
Andy Wei-Di Wu, David Ming-Huang Chiang,