هاشم محلوجی
دانشکده مهندسی صنایع- دانشگاه صنعتی شریف
[ 1 ] - پیش‌بینی عملکرد فرایندهای تولیدی بااستفاده از رگرسیون لجستیک و شبکه عصبی مصنوعی (مورد کاوی: فرایند افشانه‌ی خشک‌کننده کاشی سرامیکی)
در این نوشتار با ارائه‌ی نمونه‌ی عملی فرایند «افشانه‌ی خشک‌کنندهپانویس{spray drying}»، مدل‌سازی فرایندها با استفاده از مدل‌های رگرسیون لجستیک و الگوریتم شبکه‌ی عصبی مصنوعی با هدف پیش‌بینی )برون‌یابی و درون‌یابی( عملکرد فرایند به کار گرفته می‌شود. به‌منظور مقایسه‌ی قدرت هرکدام از این دو مدل در پیش‌بینی عملکرد فرایند، شاخص‌های ارزیابی پایایی مدل، شامل ضرایب تعیین مدل و درصد صحت پیش‌بینی،...
[ 2 ] - An integrated simulation-DEA approach to multi-criteria ranking of scenarios for execution of operations in a construction project
The purpose of this study is to examine different scenarios for implementing operations in the pre-construction phase of a project, based on several competing criteria with different importance levels in order to achieve a more efficient execution plan. This paper presents a new framework that integrates discrete event simulation (DES) and data envelopment analysis (DEA) to rank different scena...
[ 3 ] - New Approach in Fitting Linear Regression Models with the Aim of Improving Accuracy and Power
The main contribution of this work lies in challenging the common practice of inferential statistics in the realm of simple linear regression for attaining a higher degree of accuracy when multiple observations are available, at least, at one level of the regressor variable. We derive sufficient conditions under which one can improve the accuracy of the interval estimations at quite affordable ...
[ 4 ] - Fast Generation of Deviates for Order Statistics by an Exact Method
We propose an exact method for generating random deviates from continuous order statistics. This versatile method that generates Beta deviates as a middle step can be applied to any density function without resorting to numerical inversion. We also conduct an exhaustive investigation to document the merits of our method in generating deviates from any Beta distribution.
[ 5 ] - Generating Antithetic Random Variates in Simulation of a Replacement Process by Rejection Method
When the times between renewals in a renewal process are not exponentially distributed, simulation can become a viable method of analysis. The renewal function is estimated through simulation for a renewal process simulation for a renewal process with gamma distributed renewal times and the shape parameter a > 1. Gamma random deviates will be generated by means of the so called Acceptance Rejec...
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