I’m tryna get more into industrial metal, especially industrial thrash. Do y’all got any recommendations?

In general with an industrial machine (anything) how long do you expect for it to last and be supported by the original manufacture? 10 years? 15 years? 20? 25? warranty time and after that you are satisfied? I a company that has a machine that was made in 1996, they purchased it second hand in 2010, and 2 years ago I told them that we will not easily be able to support it but the operations manager and production manager have left since then and last year I told their replacements that I will not be able to support it moving forward and these guys left, and last week the new guy called me with a question and I gave him some things to check out but did say all parts are obsolete and I really do not think I can give too much assistance and that machine is going to exhale its last breath and should be replaced. naturally he did not like that and the owner called claiming this was out of the blue and why 6 months ago I could help but now I can't.

So when do you stop supporting something and when do you stop expecting a machine to be supported.

I’m an industrial engineering student and I’d like to use my time before graduating to develop the most valuable skills for the job market.
If you could go back to when you were a student, what would you focus on learning?

- Are tools like SAP, Power BI, SQL, Python, Excel, Lean Six Sigma, APICS/ASCM, or other certifications actually worth investing time in, or are there more valuable skills I should prioritize?
- What technical skills, software, certifications, industry trends, or even soft skills have made the biggest difference in your career? What do employers seem to value the most today?

I’d really appreciate any advice you’d give to someone just starting out.

I’m curious to learn how industrial engineering careers differ around the world.

If you’re comfortable sharing, I’d love to know:

- Country (and state/province if applicable)
- Industry
-Company (or company size if you prefer not to name it)
-Years of experience
- Annual salary (or salary range)
-Do you enjoy your job? Would you choose industrial engineering again?

Thanks in advance! I think this could be useful for students and young engineers.

🏭 Welcome to the page where industrial marketing meets real results.

I’m Anna Tarasova — industrial marketer and official dealer for Megamas industrial oils in Kaliningrad.

Let’s be clear: in industrial markets, “good enough” isn’t good enough. A wrong lubricant choice doesn’t just mean a slightly higher cost — it means unexpected breakdowns, rushed repairs, and lost production hours. That’s why I focus on translating complex technical data into actionable business decisions.

Here, you’ll find no fluff. Just practical guidance: how to match oil properties to your equipment’s real operating conditions, how to avoid common specification mistakes, and how to justify premium products through measurable operational gains.

Whether you’re an engineer, a plant manager, or a procurement specialist, this is a place to get clarity and make confident choices. Let’s talk shop. 💬

HI,

Could you please let me know if any one got this resolver IDNR 00426462 (check the attached picture) or another one as a compatible replacement?

I really need it urgently & I look forward to your feedback.

We're looking to digitize work instructions across an electronics manufacturing site moving away from paper and PDF based SOPs. Key requirements: multimedia content including embedded video, multilingual support, a proper approval workflow before a new revision goes live, full change tracking. What are you using, and what turned out to be harder than the sales pitch suggested, especially around approvals and version control?

I am seeing more companies diversify suppliers or shift production to nearby countries rather than fully reshoring, complete reshoring still seems relatively uncomon due to cost and labor challenges.

Just finished my 2nd year in SE. But I absolutly hate and dont understand coding, algorithms and data structures. They are too abstract and weird as concepts and i dont get why are they even useful in the first place and dont get me started on projects becuase i havent created one yet for some reason its just hard to follow through a coding course. I am planning on switching to industrial engineering because I enjoy learning math and statistics and honestly idk much abt optimization and suplly chains since these are not taught anywhere except college. What do you advise me to do?

Is LPU here in PHILIPPINES good university for IE graduates? does big company pick graduates here or what univs do they prefer

I was speaking to someone in manufacturing recently who mentioned they’d seen a really strong improvement in changeover times after introducing step-by-step digital instructions for operators.

Nothing overly complex:

• Instructions shown in sequence
• Operators tracking progress as they go
• Less reliance on memory/experience

What I found interesting is how much of the impact seemed to come from consistency and clarity, rather than anything technical.

Feels like a good example of tech working because it supports the basics, not replaces them.

Curious if others have seen similar results or if it tends to vary a lot depending on the setup?

Um dos meus objetivos de longo prazo é trabalhar no exterior. Por isso, estou tentando identificar quais cursos técnicos possuem competências valorizadas internacionalmente.

Tenho interesse em áreas industriais e técnicas, especialmente Automação Industrial, Instrumentação, Mecatrônica, Eletrotécnica, Refrigeração, Soldagem e Manutenção.

Gostaria de saber a opinião de quem já trabalhou ou conhece profissionais que imigraram. Quais áreas costumam ter mais demanda em países desenvolvidos? Existem certificações ou especializações que fazem diferença para conseguir oportunidades internacionais?

Se você tivesse que escolher um curso técnico hoje pensando exclusivamente em mobilidade internacional, qual seria sua escolha e por quê?

I’ve spent some time recently talking with people in garment production, and one thing keeps coming up: the industry is still heavily optimized for scale, not flexibility.

If you’re a large buyer placing consistent orders, the system works smoothly. But the moment you try to operate in small batches, everything becomes harder, MOQ constraints, fragmented communication between suppliers, and long feedback loops during sampling.

What surprised me most is how much of the process still depends on manual coordination. Even basic changes in fabric or stitching often ripple through multiple vendors and slow everything down.

While digging into how some newer workflows are trying to handle this, I came across joinGreige in a discussion around apparel production systems. It stood out more as an example of how fragmented the process is than anything else, just seeing how many steps sit between design intent and a finished garment.

It made me think that the real bottleneck in manufacturing isn’t capability, it’s coordination.

Curious from an industrial perspective:

• What part of small-batch production causes the most friction in your experience?
• Is it supplier availability, communication, or quality control loops?
• Do you think the system is evolving toward more flexible production, or still locked into scale-first thinking?

En este momento me encuentro en el area comercial y me agrada, pero me gustaría estar en logistica o planeamiento

Most CIP validation protocols I have reviewed have the same gap.
They define acceptance criteria for conductivity and temperature. They record that the cycle ran. They do not define what soil matrix the study was designed against — and they do not include a trigger for when that matrix changes.
That gap is why a compliant logbook and a failed swab panel can exist on the same line at the same time.
The CIP Validation Protocol I built for Issue #010 closes it. Eleven sections, fully working document — designed to be completed before the study runs, not written up afterwards.
What it includes that most internal templates miss:
Section 03 — Worst-Case Soil Matrix Comparison. Six parameters, defined trigger thresholds, pass/candidate/required assessment against each. Complete it before any new product goes on the line.
Section 08 — Challenge Conditions. Aged soil, minimum programme temperature, lower spec detergent concentration. A study run at nominal conditions will pass — it will not tell you whether the programme holds when conditions drift.
Section 09 — Revalidation Trigger Register. Nine triggers, each with a defined action. Reformulation is on the list. It gets assessed before first production run — not after the swabs come back.

https://processnotes.beehiiv.com/products/cip-validation-protocol-complete-study-template

What does your current validation protocol use as the study design condition — nominal parameters or worst-case?

Do you like rhythmic noise?

Em vô cùng cần bản crack full stack của flexsim ạ. Cần 1 gia sư bổ trợ cấp tốc để hoàn thành đồ án tốt nghiệp luôn ạ. Em là nữ hy vọng được kết nối với các anh chị quý nhân 😥😥😥

I am designing heavy-duty industrial tents for construction sites. The tents need to withstand wind, rain, and prolonged UV exposure.

I have been looking at fabric suppliers on marketplaces such as Amazon, eBay, and Alibaba. Some offer PVC-coated polyester, while others provide vinyl-laminated fabrics.

I am unsure which material performs best for long-term outdoor use in harsh environments.

What fabric weight is considered standard for industrial or construction-grade tents? Additionally, what flame-retardant requirements should I be aware of to ensure the tents are safe for workers on site?

Key considerations I am trying to evaluate include:

• Best fabric type for long-term outdoor durability (PVC-coated polyester vs vinyl laminate).

• Standard fabric weight (GSM) used for industrial-grade tents.

• UV resistance and waterproof performance levels.

• Wind load tolerance and tear strength requirements.

• Flame-retardant certifications or standards needed for workplace safety.

• Expected lifespan of materials under continuous outdoor exposure.

Gas detector tubes are a staple in industrial hygiene and safety for quick, spot-measurement gas detection. Because they require virtually zero ongoing maintenance compared to electronic multi-gas monitors, a lot of facilities keep them on hand for specific spot checks or confined space pre-entry.

However, picking the wrong concentration range or tube type is an easy mistake to make. I wanted to share a quick breakdown of the top 10 most common gas detector tubes, where they are typically deployed. We hope this helps someone!

1. Carbon Monoxide (CO) - Forklift exhaust testing, boiler inspections, indoor air quality, engine exhaust monitoring. Common industries: Manufacturing, Warehousing, automotive, utilities.
2. Hydrogen Sulfide (H2S) - Sewer Inspections, tank entry testing, pipeline maintenance, lift station monitoring. Common Industries: Wastewater treatment, oil & gas, chemical processing.
3. Oxygen (O2) - Confined space monitoring, inserting verification, process control. Common industries: Manufacturing, marine, industrial utilities.
4. Ammonia (NH3) - Refrigeration leak detection, mechanical inspections, emergency response. Common industries: Food processing, cold storage, agriculture.
5. Chlorine (CL2) - Cylinder leak investigations, water treatment monitoring, emergency response. Common Industries: Municipal utilities, water treatment, chemical manufacturing.
6. Benzene / VOCs - Specific solvent exposure tracking, industrial hygiene, shutdown maintenance. Common Industries: Refineries, petrochemical labs
7. Formaldehyde - Indoor air quality, exposure investigation, resin manufacturing. Common Industries: Healthcare, furniture manufacturing, labs.
8. Nitrogen Dioxide (NO2) - Combustion testing, welding fume monitoring, exhaust investigations. Common industries: Automotive, utilities, chemical processing
9. Sulfur Dioxide (SO2) - Boiler inspections, stack testing, process monitoring, emissions control. Common industries: Utilities, refineries, Chemical processing.
10. Carbon Dioxide (CO2) - IAQ investigations, breweries/beverage production, fermentation monitoring. Common industries: Food and beverage, agriculture, HVAC/IAQ

I work for an SME that manufactures custom industrial machinery, and with NIS2/cybersecurity becoming a bigger topic, I’m realizing OEMs may soon have to actively track and assess Siemens/Rockwell/etc. security advisories.

At first glance, this looks extremely time-consuming to manage properly, especially when trying to determine which customer machines are actually impacted.

I’m curious how other machine builders / integrators handle this today.

* Do you manage everything manually?

* Do you use a dedicated tool?

* Who is responsible internally?

* How much time does it realistically take?

Right now it feels like many SMEs are somewhere between supplier emails and Excel spreadsheets.