کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
10321760 | 660751 | 2015 | 35 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Throughput accounting and performance of a manufacturing company under stochastic demand and scrap rates
ترجمه فارسی عنوان
حسابداری عملکرد و عملکرد یک شرکت تولیدی تحت تقاضای تصادف و میزان ضایعات
دانلود مقاله + سفارش ترجمه
دانلود مقاله ISI انگلیسی
رایگان برای ایرانیان
کلمات کلیدی
ترکیب محصول نظریه محدودیت ها، حسابداری بهره وری، تقاضای نامعلوم، تولید ضایعات،
موضوعات مرتبط
مهندسی و علوم پایه
مهندسی کامپیوتر
هوش مصنوعی
چکیده انگلیسی
Theory of constraints (TOC) has emerged as an effective management philosophy suggesting practical solutions to various complex problems including product mix problem. Scholars have shown the superiority of various optimization (and artificial intelligence) approaches over the TOC-based heuristic to a “static” product mix problem, but have failed to see TOC as a whole, i.e. to take into consideration the impact of resource inter-dependencies, feedback loops, and importantly, statistical fluctuations ever present in any dynamic business environment. We proposed a system dynamics (SD) based simulation model to investigate product-mix problem under stochastic demand and scrap rates. We analyzed various scenarios by employing the drum-buffer-rope approach and constraint focused systematic scrap rate reduction approach, and importantly, evaluating performance using throughput accounting based global measures such as throughput and inventory. We conclude this paper by suggesting that future research efforts should be directed to develop an enabling hybrid expert simulation system to learn fundamental and powerful concepts underlying the theory of constraints.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Expert Systems with Applications - Volume 42, Issue 22, 1 December 2015, Pages 8423-8431
Journal: Expert Systems with Applications - Volume 42, Issue 22, 1 December 2015, Pages 8423-8431
نویسندگان
Olli-Pekka Hilmola, Mahesh Gupta,