بهینه گستر صنایع آرمان همیشه در کنار شما هستیم تهیه سامانه های ERP، خدماتی خدمات طرح توجیهی، اخذ گواهینامه استاندارد ایزو، علمی و پژهشی، خدمات مهندسی صنایع و مدیریت سایت و سامانه های ما: https://bgsiran.ir #سامانه_اطلاعات_مدیریت_آرمان https://bgsasystem.ir/ #سامانه_مدیریت_ساختمان_رایان https://bgsarayan.ir/ #سامانه_استعلام_گیری_آریان https://bgsaaryan.ir/ 🔹 بهینه گستر صنایع آرمان در بله👇 https://ble.ir/bgsarman1 🔹 …

Channel
بهينه گستر صنايع آرمان-مهندسی صنایع و مدیریت
@bgsarman1
On this record: Growth · Engagement · Reactions · Posts · Citations · Handles named that no longer answer · Cite this entry
711subscribers
+3 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
Register entry
| Telegram ID | -1001325654969 |
|---|---|
| Type | Channel |
| Username | @bgsarman1 |
| Created | Between 1 March 2018 and 31 August 2021— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 6 August 2026 |
| Last confirmed live | 21 August 2026 |
| Measurements held | 4 |
| Confirmed unchanged | 2 times, most recently 21 August 2026 |
| On Telegram | t.me/bgsarman1 |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 14 Aug 2026, 18:04 | 711 | +2 |
| 7 Aug 2026, 02:27 | 709 | +1 |
| 6 Aug 2026, 16:36 | 708 | no change |
| 6 Aug 2026, 08:16 | 708 | first reading |
Engagement
19 posts held, back to 28 June 2026 — the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 1 pageof Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 21.7%
- avg views ÷ 711 subscribers
- Avg views / post
- 154
- 5 posts measured
- Reaction rate
- 2.67%
- reactions ÷ views · ER floor
- Posts in window
- 5
- of 19 held
ERR is average views per post over the last 30 days divided by subscribers, the definition TGStat uses, so this figure is comparable with the one you will see elsewhere. It falls structurally as a channel grows: a high ERR on a small channel and a low one on a large channel describe reach mathematics, not quality. We publish the figure and the sample it came from and pass no verdict on it.
ER is defined industry-wide as (forwards + reactions + comments) ÷ views— note the denominator is views, not subscribers. Telegram’s public web preview carries views and reactions but not forward or comment counts, so the reaction rate above is the reactions term only and is therefore a floor: the true ER for this channel is higher by an amount we have not measured and will not estimate. It is computed over the 1 of 5 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 6 August 2026 |
|---|---|
| Posts held | 19 (28 June 2026 – 6 August 2026) |
| Views total | 770 |
| Reactions total | 2 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 6 Aug 2026, 16:36 UTC |
Views are a single reading per post, taken at the time above. A post published in the last day or two is still accumulating views, which pulls the 30-day average down slightly. That is a property of the standard definition rather than a fault in it, so we keep the definition rather than “correcting” the number into something nobody can reproduce.
Precision. Telegram publishes view counts on its public widget in short form — 8.12K, 3.7M — so any reading at or above 1,000 reaches us rounded to three significant figures, and only counts below 1,000 are exact. Averages and rates derived from them are shown to the same precision rather than to the unit: a figure like 3,701,250 would assert digits nobody measured.
Reaction counts are published per emoji and rounded the same way, so a total below 1,000 is exact and a larger one is a sum that may carry a rounded component from each emoji above 1,000. Because it is a sum, it does not look rounded — read a large reaction total as three significant figures per contributing emoji rather than as the figure it prints.
Reaction mix
4 reactions across 2 posts, in 1 kind.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 👍 | 4 | 100.0% |
No sentiment is inferred, and none should be read in. This table is ordered by count and by nothing else. Emoji do not carry stable meaning across languages or communities — 🙏 is thanks in one channel and mourning in another — so we publish which ones were pressed and how often, and pass no judgement on what an audience meant by them.
Precision. Telegram publishes reaction counts per emoji and short-forms each one — 4.34K, 1.2M — so any single kind at or above 1,000 reaches us at three significant figures, and only counts below 1,000 are exact. The shares above are ratios of those figures and carry the same error. This is also why the total here can differ slightly from a reaction total printed elsewhere on the page: both are sums of the same rounded parts, taken over samples with different edges.
Coverage. Reactions were read on 2 of the 19 sampled posts in this sample. Summed by Telegram’s own count on each post — not by adding up the per-emoji breakdown above — those same posts carry 4reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 19 most recent posts we hold, published 28 June 2026 to 6 August 2026, using the newest reading held for each. Telegram Stars are excluded: they are a payment, not a reaction, and they have their own section.
Recent posts
وقتی تحقیق در عملیات به کمک یادگیری ماشین میآید؛ پیشبینی هوشمند مصرف گاز با رویکرد Robust و Resilient ترکیب مدلسازی ریاضی، رگرسیون و یادگیری ماشین برای تصمیمگیری در شرایط عدم قطعیت الگوریتمهای یادگیری ماشین میتوانند روابط پیچیده میان متغیرهای مختلف را شناسایی کنند و از دادههای تاریخی برای پیشبینی آینده استفاده نمایند. در پژوهش رضا لطفی و همکاران، یک Robust Stochastic LASSO Regression برای پیشبینی مصرف گاز تو…
به لطف خدا رتبه علمی ژورنال ما ارتقا یافت ✅International journal of industrial engineering and operational research (IJIEOR) Journal ISC impact factor: 2.282 ISSN: 2676-3311 ✅ http://ijieor.ir 📡 https://t.me/ijieor 📡 http://t.me/bgsarman1
👍2
📘 International journal of sustainable applied science and engineering (#IJSASE) 📄 The Role of Artificial Intelligence in Modern Finance and Marketing 🙎♂️ Milad Javadi Economics, School of Economic, Political and Policy Sciences (EPPS), The University of Texas at Dallas, Richardson, Texas, USA. 🌍 https://bgsiran.ir/journal/ojs-3.1.1-4/index.php/IJSASE/article/view/218 کانال های ما: 🌎 https://t.me/ijieor 🏠 https:…
با توجه به اینکه درگاه اسنپ پی نیز اضافه شده است میتوانید اقساطی تهیه نمایید آموزش #برنامه_ریزی_و_کنترل_پروژه با کمک #Microsoft_project 🌎 https://bgsiran.ir/msproject آموزش #برنامه_ریزی_و_کنترل_تولید 🌎 https://bgsiran.ir/hha4 آموزش #برنامه_ریزی #نگهداری_و_تعمیرات (#نت) به کمک نرم افزار Microsoft Access 🌎 https://bgsiran.ir/tamirat آموزش تشریح الزامات استاندارد #ایزو9001 #ISO9001_2015 🌎 https://bgsiran.ir/lkky …
طراحی یک زنجیره تأمین پسماند پزشکی پایا، مقاوم و ریسکگریز با رویکرد نوین WVaR هر روز بیمارستانها، درمانگاهها، آزمایشگاهها و مراکز بهداشتی حجم قابل توجهی پسماند تولید میکنند. بنابراین مدیریت پسماند پزشکی فقط یک مسئله زیستمحیطی نیست؛ بلکه موضوعی مرتبط با سلامت عمومی، ایمنی، اقتصاد و مدیریت بحران است. در پژوهش رضا لطفی و همکاران، یک چارچوب ارائه شده است که هدف آن طراحی یک شبکه مدیریت پسماند پزشکی است که همزمان پ…
اعتراف OpenAI: مدلهای ما با فرار از محیط آزمایشگاه، هاگینگ فیس را هک کردند چند روز پس از آنکه پلتفرم محبوب هاگینگ فیس اعلام کرد ایجنت هوش مصنوعی خودمختاری به سیستمهای آنها نفوذ کرده، شرکت OpenAI با انتشار مطلبی رسماً اعتراف کرد که مدلهای هوش مصنوعی این شرکت عامل اصلی این حمله ناخواسته بودهاند. ادامه: https://digiato.com/artificial-intelligence/openai-models-break-sandbox-hack-huggingfac 🔹 بهینه گستر صنایع آرما…
اگر بخواهم فقط پیشبینی شخصی خودم (ChatGpt) را بگویم: اسپانیا: 55٪ آرژانتین: 45٪ اسپانیا در این جام فوتبال منظمتر، مالکانهتر و از نظر دفاعی بسیار مستحکم بازی کرده و به همین دلیل بسیاری از تحلیلگران نیز آن را شانس اول قهرمانی میدانند. اما آرژانتین یک ویژگی دارد که هیچ آماری بهراحتی آن را اندازه نمیگیرد: تجربه بازیهای بزرگ و توانایی تعیینکننده ستارههایی مثل مسی. اگر بازی به وقت اضافه یا ضربات پنالتی کشیده شود،…
طراحی زنجیره تأمین واکسن؛ چگونه میتوان در بحرانهای آینده جان انسانهای بیشتری را نجات داد؟ همهگیری کووید-۱۹ نشان داد که تولید واکسن بهتنهایی کافی نیست؛ بلکه موفقیت یک برنامه واکسیناسیون به طراحی صحیح زنجیره تأمین واکسن وابسته است. اگر واکسن در زمان مناسب، با دمای مناسب و به مقدار کافی به مراکز درمانی نرسد، حتی بهترین واکسن نیز نمیتواند اثر مطلوب خود را داشته باشد. در پژوهشی که توسط رضا لطفی و همکاران منتشر شده ا…
مهندسی صنایع در سال ۲۰۵۰ چگونه خواهد بود؟ نگاهی به آینده تصمیمگیری، هوش مصنوعی و سیستمهای هوشمند اگر امروز از یک مهندس صنایع درباره مهمترین ابزارهای کاری او سؤال کنیم، احتمالاً به نرمافزارهای برنامهریزی، مدلهای بهینهسازی، شبیهسازی، تحلیل داده و مدیریت پروژه اشاره خواهد کرد. اما آیا این ابزارها تا سال ۲۰۵۰ همچنان به همین شکل باقی خواهند ماند؟ با سرعت پیشرفت هوش مصنوعی، رایانش کوانتومی، اینترنت اشیا، رباتیک، دو…
رویکرد Viability در زمانبندی پروژهها؛ نسل جدید مدیریت پروژه در شرایط عدم قطعیت امروزه پروژههای عمرانی، صنعتی، نفت و گاز، فناوری اطلاعات و زیرساختی با محیطی بسیار پیچیدهتر از گذشته روبهرو هستند. پژوهش رضا لطفی و همکاران نشان میدهد که تلفیق زمانبندی چندحالته، محدودیت منابع، برنامهریزی استوار، مدیریت ریسک، پایداری، چابکی و تابآوری میتواند نسل جدیدی از مدلهای مدیریت پروژه را شکل دهد؛ مدلهایی که سازمانها را…
چگونه بودجه را به پروژهها در سطح ملی در شرایط عدم قطعیت، ریسک و بحران بهینه تخصیص دهیم؟ یکی از مهمترین چالشهای مدیران پروژه، تخصیص صحیح بودجه محدود میان فعالیتها و پروژههای مختلف است. در پژوهش رضا لطفی و همکاران، برای حل مسئله از یک رویکرد بهینهسازی تصادفی مقاوم (Hybrid Robust Stochastic Optimization) استفاده شده است. همچنین معیار Weighted Value at Risk (WVaR) برای کنترل ریسک و افزایش اطمینان تصمیمها به کار …
Showing the 12 most recent of 19 posts we hold for @bgsarman1. View and reaction counts are the latest single reading for each post, not a live figure, and a recent post is still accumulating both. A view count marked ≈ was rounded by Telegram before we ever saw it — t.me prints views in full below 1,000 and to three significant figures above, so ≈1,200,000 means somewhere between 1,150,000 and 1,249,999. Unmarked counts are exact. Text is reproduced from the public post preview and truncated for length.
Citation-graph rank
Citation-graph rank — 41,656 of 1,620,105entries in the measured graph. A weighted position computed from the forward and mention edges below — republished posts weigh more than named mentions — and recomputed periodically, over the whole graph. Published only as this ordinal position, never as a score: a position is a fact, and a score printed beside one channel’s name would read as a verdict this register does not make. The two counts beneath stay separate for the same reason mentions are never summed with forwards anywhere else on this page — a named-by count costs nothing to manufacture. The top 100 by this measure, or how it is computed.
Forward network
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
Republishes
Channels on the register whose posts this channel has forwarded.
Built only from forwarded posts we have actually read, on both sides. Coverage is early and deliberately incomplete: a missing link means we have not read the post that would prove it, never that the relationship does not exist. Counts are distinct forwarded posts observed, so they only ever go up as we read more.
Mentions
Named by 3 registered channels — every channel on the register whose own posts have named this one, by its current username or any other username it currently holds, merged from two separately captured readings of the same fact so a namer caught by only one of them is not missed and a namer both caught is not counted twice. A username this channel has since dropped is not matched — that handle may belong to someone else now, and crediting today’s namer to yesterday’s owner would misattribute it.
Named by
Channels on the register whose posts name this channel's handle.
Names
Channels on the register whose handles appear in this channel's posts.
A mention is a weaker signal than a forward and is counted separately for that reason — naming a channel is not republishing it, and a handle in a post body is easy to place deliberately. The post counts beside each row below are distinct posts in which the handle appeared, from posts we have read on both sides — the “Named by N registered channels” figure above is a different count, of distinct NAMING CHANNELS rather than posts, and is not the sum of the rows under it.
Handles this channel named that no longer answer
- Dead references
- 1
- handles named in this channel’s posts, vacant today
- Evidenced gone
- 1
- we ourselves saw one of these resolve, at some point
- Never seen alive
- 0
- vacant every time we have ever looked
@bgsarman1 named 1 handle that resolve to nothing today. That is a fact about the reference, not necessarily a fact about the handle’s history — see the two groups below.
Most of these may never have existed as a live channel at all.A handle a channel names can be a typo, an aspirational name nobody registered, or a channel that was already gone before this one ever mentioned it. Unless a row below is marked evidenced, all we know is that it references a handle that is not a live channel today — not that anything “died”. How this is measured.
Evidenced gone
We ourselves saw each of these resolve to a real page at some point before it went vacant — a genuine, evidenced change, not an inference from absence.
named in 3 posts, 8 August 2026 – 8 August 2026 · confirmed gone 20 August 2026 (two independent sightings — see how we confirm a dead handle)evidenced
Cite this entry
A live page changes as we take new readings, so a citation should name the measurement it is based on, not just the URL. The line below cites the subscriber count as measured 14 August 2026 — this entry's latest reading, not the date you are reading this.
“بهينه گستر صنايع آرمان-مهندسی صنایع و مدیریت” (@bgsarman1), 711 subscribers as measured 14 August 2026. Telegram Register, tgregister.com/channel/bgsarman1.
Full measurement history, CC BY 4.0. Every reading this register holds for this entry, not just the latest one, as a dated, downloadable record: CSV · JSON. Free to use with attribution to tgregister.com. Each file carries its own generation timestamp, which is the figure to cite for exactly when the data was retrieved.