کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
6897375 | 1446023 | 2014 | 12 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
An automated planning engine for biopharmaceutical production
ترجمه فارسی عنوان
یک موتور برنامه ریزی خودکار برای تولید بیولوژیکی دارویی
دانلود مقاله + سفارش ترجمه
دانلود مقاله ISI انگلیسی
رایگان برای ایرانیان
کلمات کلیدی
تولید بیوفرم دار،
موضوعات مرتبط
مهندسی و علوم پایه
مهندسی کامپیوتر
علوم کامپیوتر (عمومی)
چکیده انگلیسی
We introduce an optimization-based production planning tool for the biotechnology industry. The industry's planning problem is unusually challenging because the entire production process is regulated by multiple external agencies - such as the US Food and Drug Administration - representing countries where the biopharmaceutical is to be sold. The model is structured to precisely capture the constraints imposed by current and projected regulatory approvals of processes and facilities, as well as capturing the outcomes of quality testing and processing options, facility capacities and initial status of work-in-process. The result is a supply chain “Planning Engine” that generates capacity-feasible batch processing schedules for each production facility within the biomanufacturing supply chain and an availability schedule for finished product against a known set of demands and regulations. Developing the formulation based on distinct time grids tailored for each facility, planning problems with more than 27,000 boolean variables, more than 130,000 linear variables and more than 80,000 constraints are automatically formulated and solved within a few hours. The Planning Engine's development and implementation at Bayer Healthcare's Berkeley, CA manufacturing site is described.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: European Journal of Operational Research - Volume 238, Issue 1, 1 October 2014, Pages 327-338
Journal: European Journal of Operational Research - Volume 238, Issue 1, 1 October 2014, Pages 327-338
نویسندگان
Robert C. Leachman, Lenrick Johnston, Shan Li, Zuo-Jun Shen,