Latest / Mechanical Engineering Made Simple / (#114) Fixing a Material Handling Disaster
Transcript
- 0:00Welcome back to mechanical engineering made simple.
- 0:02Glad to be back. So today we are heading out on a
- 0:05really unique deep dive mission. We are.
- 0:09We're going to explore the invisible choreography that
- 0:12basically keeps the entire modern world running.
- 0:16I'm talking about the massive, unseen systems of material
- 0:20handling. Oh yeah, the silent partner of
- 0:22manufacturing. Exactly.
- 0:23It's the lifeblood of literally every physical product you own,
- 0:27yet you know it's a discipline that rarely gets the spotlight.
- 0:30At least not until the system completely breaks down and
- 0:33grinds production to an absolute halt.
- 0:36Which happens more often than you'd think.
- 0:38And to truly understand the engineering rigor behind it, we
- 0:41aren't just going to read off a list of textbook definitions.
- 0:46Instead, we're taking you on a story driven walkthrough.
- 0:49We're going to drop you right into the middle of a common real
- 0:51world engineering disaster. I love this approach.
- 0:54Yeah, picture this. You've got a sprawling, high
- 0:56mixed discreet manufacturing plant and this facility is
- 0:59currently suffering from plummeting overall equipment
- 1:02effectiveness. I mean massive delays, damaged
- 1:05goods, sky high operational costs.
- 1:09A total nightmare scenario. Absolutely.
- 1:11So our mission on this deep dive?
- 1:13To use core material handling principles to diagnose the chaos
- 1:17on that floor and systematically engineer a fix.
- 1:20So imagine you are standing on the floor of this factory right
- 1:24now. It is.
- 1:26It's an absolute crisis. Total chaos.
- 1:28You've got WIP work in process inventory just piling up in
- 1:32these random staging areas. Forklifts are completely
- 1:35deadlocked in the main aisles. Horns honking, people yelling,
- 1:38and. Then you look over and you've
- 1:39got these highly skilled CNC machinists leaving their actual
- 1:43stations wasting valuable time manually carrying like 50 LB
- 1:48bins of raw materials clear across the facility.
- 1:50It hurts to even picture it. It's.
- 1:52Loud. It's chaotic and management is
- 1:53pulling their hair out because lead times are slipping, but
- 1:55nobody seems to actually know where the real bottleneck is.
- 1:58And here is where we see the classic rookie mistake.
- 2:01The knee jerk reaction. Exactly.
- 2:04The common engineering reflex in a panic situation like this,
- 2:07especially, you know, when management is breathing down
- 2:10your neck, is to throw capital expenditure at what is
- 2:13fundamentally a process problem. Right.
- 2:15They think, well, we have a movement issue, let's just buy a
- 2:17bunch of new equipment, yes. So they go out and procure a
- 2:21fleet of brand new forklifts. Which is the worst thing you
- 2:24could do. It really is.
- 2:26As any seasoned industrial engineer will tell you, buying
- 2:29equipment before fully mapping the system dynamics only treats
- 2:33the symptoms. You are essentially just adding
- 2:36more vehicles to a traffic jam. You're just accelerating the
- 2:39chaos. Precisely.
- 2:41So as the engineer brought in to fix this mess, your proper first
- 2:45step is identifying and defining the true scope of the problem.
- 2:48You can't just look at the material handling equipment in
- 2:50isolation. You have to look at the whole
- 2:52picture. Right, you have to understand
- 2:53the products themselves, the intricate manufacturing
- 2:56processes, the specific TAC times and production schedules.
- 2:59And the actual 3 dimensional layout of the facility.
- 3:02Yes, you have to look at the factory as a living, breathing
- 3:06Organism. That's a great way to put it,
- 3:08and you can quickly categorize the operational failures on that
- 3:11floor if you break them down into the five fundamental
- 3:14aspects of material handling. Let's run through those.
- 3:17Every failure out there is a violation of at least one of
- 3:20these. First up, there's motion.
- 3:22OK, this isn't just about moving things, it's about the
- 3:25kinematics of the floor, moving things efficiently, safely, and
- 3:29with minimal energy. Right now, having people
- 3:32manually carry heavy boxes is a massive ergonomic liability.
- 3:37And a terrible use of kinetic energy.
- 3:38Absolutely. Then there's time.
- 3:40This is your just in time delivery aspect.
- 3:42You need materials arriving at the workstation exactly when
- 3:46they are needed, not. Really not late.
- 3:47Right. Not 10 minutes early, creating a
- 3:50localized bottleneck that clogs up the operator's workspace.
- 3:53And definitely not 10 minutes late leaving $1,000,000 machine
- 3:57sitting idle, bleeding money. The third aspect is place.
- 4:00Materials must be positioned correctly for use.
- 4:03Point of use presentation. Exactly.
- 4:06If an assembly worker has to turn around, walk 20 feet, and
- 4:09bend over to grab a component from a pallet on the floor for
- 4:12every single cycle, that is a severe failure of place.
- 4:16It adds up so fast. It does. 4th is quantity.
- 4:20You have to deliver the correct volume to match the process
- 4:22demands, aligning your batch sizes with your single piece
- 4:25flow goals. And finally, space.
- 4:28This is about cubic utilization, not just square footage.
- 4:31Oh, this is a huge one. In our disaster factory, boxes
- 4:34and bins are spread out all over the floor in a single layer.
- 4:37They're paying for a 30 foot ceiling, but only using the
- 4:40bottom 4 feet. It's a complete waste of the
- 4:43facility's vertical volume. Now that we frame the scope of
- 4:46the disaster, we need to transition into diagnosing the
- 4:49root causes. We know the system is broken,
- 4:52but we need hard data to prove exactly where and why.
- 4:55This is where we put on our lead investigator hats.
- 4:57We have to systematically collect data on this chaotic
- 5:01factory floor. You absolutely cannot just guess
- 5:03based on an afternoon of walking around with a clipboard.
- 5:06No, you need systematic charting to capture the true flow
- 5:09dynamics. Let's talk about the specific
- 5:11diagnostic tools used to uncover these root causes.
- 5:14The foundational tool here is the Flow process chart.
- 5:18This involves tracking a specific component or sub
- 5:20assembly and tabulating every single step it takes using
- 5:24standard American Society of Mechanical Engineers or ASME
- 5:28symbols. Right, the ASME symbol.
- 5:30Yes, those symbols categorize every moment into operation,
- 5:34transportation, inspection, delay, and storage.
- 5:37And when you actually chart this out for our broken factory, the
- 5:40data usually reveals something totally shocking.
- 5:42It's always eye. Opening you might track a widget
- 5:44and find it undergoes, say, 4 value add operations, but it
- 5:48requires 12 transportations. And a massive percentage of its
- 5:52life cycle falls under that ASME delay symbol.
- 5:54Exactly. The actual value add time might
- 5:57be 5 minutes, but it takes three days to get through the plant.
- 5:59It's just sitting in queues waiting.
- 6:01To visualize that inefficiency, we take that data and build a
- 6:05flow diagram. We superimpose those exact ASME
- 6:08symbols directly onto the floor plan of the facility.
- 6:11So the abstract data becomes a tangible map.
- 6:14Suddenly you can physically see the chaotic spaghetti string
- 6:17paths the materials are making crossing back and forth over
- 6:20each other, creating massive cross hauling waste.
- 6:23But the flow diagram only shows us the current state.
- 6:27To figure out how to rearrange the plant, I'd bring in a from
- 6:30to Chart right? It's essentially a cross matrix
- 6:33that tracks the required number of physical moves or the flow
- 6:36intensity between different departments.
- 6:38Yeah, if the matrix shows that the milling department sends 500
- 6:42loads a day to the grinding department, those two nodes need
- 6:46to be physically adjacent. True, but adjacency isn't solely
- 6:50dictated by flow volume, which is why we pair the from to chart
- 6:54with an activity relationship chart.
- 6:56Right, because of the qualitative constraints.
- 6:58Exactly. You might have a high flow
- 7:00volume between a heavy stamping press and a delicate coordinate
- 7:03measuring machine or CMM. Oh, you do not want those next
- 7:07to each other you. Absolutely cannot put a
- 7:09vibrating stamping press next to sensitive metrology equipment.
- 7:13The Activity Relationship chart maps those proximity
- 7:15restrictions. All right, the data is in and
- 7:18the bottlenecks are glaringly obvious.
- 7:21The factory is violating several of the core principles of the
- 7:24Material Handling Institute. It's a textbook disaster.
- 7:27They're moving single items haphazardly, wasting overhead
- 7:30space, and honestly ignoring basic physics.
- 7:34So how do we actually start untangling this mess on the
- 7:36floor? We systematically apply the core
- 7:39principles to engineer a new state.
- 7:41The first major intervention targets the floor clutter and
- 7:44the sheer number of trips being made.
- 7:46We apply the unit size principle.
- 7:48Unitizing the chaos. Right, instead of having
- 7:50operators handle hundreds of individual cartoons, we engineer
- 7:54unit loads. And building a proper unit load
- 7:57is a science in itself. It's not just piling boxes on a
- 8:00standard wooden pallet and hoping for the best.
- 8:03Definitely not. You have to account for load
- 8:04stability and the center of gravity.
- 8:07If you stack cartoons in a standard block pattern where one
- 8:10column of boxes sits perfectly flushed on top of another, they
- 8:13lack lateral stability. They will tip over the second a
- 8:16forklift takes a corner too fast.
- 8:18That's why we specify interlocking pinwheel patterns.
- 8:21The overlapping layers create structural integrity, much like
- 8:24laying bricks. Makes total sense.
- 8:26But even an interlocked load needs to be secured to survive
- 8:29transit dynamics. The entire unit load must be
- 8:32consolidated using automated stretch wrapping which applies
- 8:36pre stretched film to create a holding force or high tension
- 8:39banding. And once it's unitized, a single
- 8:42industrial truck can move what used to take an operator 50
- 8:47individual trips. Exactly.
- 8:48Now that we've consolidated the loads, let's look at the packing
- 8:51area. Currently they have powered flat
- 8:54belts moving boxes a short distance to the loading dock.
- 8:57Such a waste of power. It's a perfect place to apply
- 8:59the gravity principle. Why incur the operational
- 9:02expenditure of electricity and the maintenance overhead of
- 9:05motors and drive belts when gravity is a constant?
- 9:08Gravity is free. It is.
- 9:09We pull out those powered belts and install gravity wheel and
- 9:12roller conveyors. By calculating the correct
- 9:15coefficient of friction and utilizing A slight downward
- 9:18declination angle, the cartoons glide effortlessly to the dock.
- 9:22It lowers the CapEx, eliminates a failure point and cost nothing
- 9:26to run. It's a huge win.
- 9:28With the packing area streamlined, we have to tackle
- 9:31the massive forklift traffic jams in the main arteries of the
- 9:34plant. The trickiest part?
- 9:36Human driven vehicles are flexible, but for repetitive
- 9:39fixed route transport runs they introduce variability and safety
- 9:42risks. Here we introduce the automation
- 9:45principle. We replace the manual lift
- 9:47trucks in those high traffic predictable loops with an
- 9:50automated guided vehicle system or Agvs.
- 9:54Now, Agvs sound great on paper. You see them silently gliding
- 9:57around modern facilities, but in a chaotic plant where someone
- 10:01might drop a pallet splinter or leave a tool cart in the aisle,
- 10:04don't those systems fail? They used to.
- 10:06Yeah, because I've seen older Agvs that rely on inductive
- 10:09loops embedded in the concrete just stop dead in their tracks
- 10:13if the floor gets damaged or blocked.
- 10:14That was certainly true of older generations that required fixed
- 10:17physical guide paths, but modern Agvs and autonomous mobile
- 10:20robots or AM Rs use advanced SLAM navigation.
- 10:24Simultaneous localization and mapping.
- 10:26Right. They utilize onboard Lidar and
- 10:28vision systems to map their environment in real time.
- 10:32If an AMR encounters a tool cart left in the aisle, it doesn't
- 10:35just stop and trigger an alarm it.
- 10:36Just routes around it. It calculates A dynamic path
- 10:39around the obstacle, ensuring continuous throughput while
- 10:42adhering to strict safety protocols.
- 10:45They never get fatigued, they maintain precise pacing, and
- 10:48they virtually eliminate the traffic bottlenecks.
- 10:51OK. We've optimized the horizontal
- 10:53movement, but we still have a massive cubic storage problem.
- 10:56We've got pallets taking up valuable manufacturing floor
- 10:59space. Time for the space utilization
- 11:01principle. Yes, the floor is for value add
- 11:04manufacturing. The vertical air space is for
- 11:06storage. To reclaim that square footage,
- 11:09we install an Automated Storage and Retrieval System, or ASRS.
- 11:13And ASRS completely transforms the physical footprint of a
- 11:17facility. We are talking about engineered
- 11:19steel rack structures that can easily reach 80 to 100 feet high
- 11:23with incredibly narrow aisles. It's an imposing sight.
- 11:26It is down the center of each aisle a computer controlled
- 11:30storage and retrieval machine operates.
- 11:32It rides on a floor rail and utilizes a top guide channel to
- 11:36manage the extreme mass deflection that occurs at those
- 11:39heights. The kinematics of those machines
- 11:41are wild. They really are.
- 11:43The machine accelerates down the aisle while simultaneously
- 11:46hoisting the shuttle mechanism vertically.
- 11:48It calculates the optimal kinematic curve to reach a
- 11:51specific bin location on the 50th tier.
- 11:53Smoothly decelerating to prevent load shifting.
- 11:56Exactly and automatically depositing or retrieving a multi
- 12:00ton pallet with millimeter precision.
- 12:02It maximizes storage density and provides real time inventory
- 12:06tracking. But wait, an ASRS is great for
- 12:08massive pallet loads? What of this factory also
- 12:11handles thousands of unique high mix, low volume components?
- 12:16Things like specialized fasteners, custom electronic
- 12:18relays, or raw plastic pellets for an injection molding wing.
- 12:22A very common scenario. You aren't putting loose plastic
- 12:25pellets on a palette and you don't need 100 foot crane to
- 12:27grab boxes screws. That's a critical distinction.
- 12:30Let's tackle the small discrete parts 1st.
- 12:33For high density small item storage, we scale down the
- 12:36technology and install a mini load ASRS or a horizontal
- 12:40carousel. Oh, I love the carousels.
- 12:43A horizontal carousel is essentially A continuous
- 12:45motorized Oval track of linked bins.
- 12:48Instead of a worker wasting time walking up and down static
- 12:51shelving aisles searching for a tiny part, which is a huge
- 12:55violation of our place in motion principles, the system operates
- 12:58on a goods to person paradigm. The computer spins the carousel
- 13:02and presents the exact bin directly to the operator's
- 13:05picking station. It's incredibly efficient, but
- 13:07before management signs off on millions of dollars in capital
- 13:10expenditure for 100 foot steel racks, laser guided robots and
- 13:13carousels, there is one non negotiable final step.
- 13:17You cannot just bolt this equipment to the floor and hope
- 13:19your from toe charts were perfectly accurate.
- 13:22Absolutely not. The crucial final step is
- 13:24computer simulation. Building a digital twin.
- 13:27Yes, as an engineer you must build a dynamic computerized
- 13:31model of the entire proposed layout.
- 13:34You feed the simulation your actual production schedules,
- 13:37your machine cycle times, and the kinematic profiles of your
- 13:40new Agvs and Asrs. Because if you don't, you might
- 13:43just be shifting the bottleneck from one department to another.
- 13:46Right precisely. The simulation allows you to run
- 13:49weeks of production in a matter of minutes.
- 13:51You can identify hidden system bottlenecks, test edge cases,
- 13:55and discover timing issues in the virtual world.
- 13:57You catch the glitches before they're expensive hardware
- 14:00problem. Exactly.
- 14:01For instance, the simulation might reveal that during a
- 14:03specific shift change, your entire fleet of Agvs will route
- 14:07themselves to the charging station simultaneously, totally
- 14:10crashing your throughput. You find and fix these logic
- 14:13errors in the code long before the millwrights start bolting
- 14:17metal to the floor. So by applying these principles,
- 14:20unitizing the loads, leveraging gravity, implementing advanced
- 14:23automation, utilizing vertical space, and validating it all
- 14:26with a digital twin, we've taken a chaotic, failing factory and
- 14:31engineered a highly optimized, predictable system.
- 14:34We've fundamentally changed the operating physics of the plant.
- 14:37No, this walkthrough actually sets us up perfectly for our
- 14:40debrief. We like to take the most
- 14:42frequently searched online questions about material
- 14:45handling and ground the answer straight in the source text.
- 14:48Sounds good, let's do it. FAQ number one.
- 14:51Earlier I mentioned raw plastic pellets for the injection
- 14:54molding wing. The engineering solutions we
- 14:57just applied were all focused on discrete countable items.
- 15:01O the question is what is the difference between bulk and unit
- 15:06handling? It's a distinction that often
- 15:08trips up systems design. Everything we've discussed so
- 15:11far, pallets, cartoons, engine blocks, falls under unit
- 15:15handling. You are moving discrete
- 15:17entities. Bulk handling deals with solids
- 15:19that are flowable. Think of fine powders like wheat
- 15:22flour, pellets like soybeans or lumpy coal.
- 15:25You move bulk using completely different gear.
- 15:27Right, you can't stack wheat flour on a wooden pallet.
- 15:30Instead of an AGV, you might specify a screw conveyor, which
- 15:33is essentially A helical shaft in a pipe or bucket elevators
- 15:37for vertical lifts. Or pneumatic conveyors that
- 15:39suspend powders in a stream of air.
- 15:41That leads right into FAQ #2 Why do bulk materials get stuck
- 15:45inside storage silos? We've all seen massive
- 15:49industrial silos, but extracting material from them reliably is
- 15:53notoriously difficult. It comes down to the design of
- 15:56the hopper, the sloped bottom of the bin, and the materials flow
- 15:59ability. Ideally you want mass flow where
- 16:02all the material in the bin moves when the outlet opens.
- 16:05But if you miscalculate, you don't get mass flow, you get
- 16:09funnel flow. Exactly.
- 16:10In funnel flow, only a small vertical channel of material
- 16:14directly above the outlet moves, leaving dead zones clinging to
- 16:17the walls. To fix it, engineers use flow
- 16:20assisting devices. Like vibrating hoppers?
- 16:22Vibrating hoppers or Whirlpool devices to break up those
- 16:25cohesive bonds. All right, final question FAQ 3.
- 16:28When should a factory use a conveyor versus an industrial
- 16:31truck? Conveyors are perfect when loads
- 16:33are uniform, routes do not vary, movement is continuous point to
- 16:37point, and the path is fixed. They're relentless, but they
- 16:40lack flexibility. Exactly.
- 16:42Industrial trucks like forklifts or Agvs are the go to when you
- 16:46need flexible handling along variable or random flow path.
- 16:50It's incredible how much rigorous engineering goes into
- 16:53simply getting apart from point A to point B.
- 16:56Before we wrap up, I want to leave you with a final thought
- 16:59to ponder. Consider the invisible
- 17:01choreography that surrounds you right now.
- 17:03It's everywhere. Almost every physical object you
- 17:06own was seamlessly passed from a gravity conveyor to a stretch
- 17:11wrapper, to a laser guided robotic vehicle and up into 100
- 17:16foot automated storage rack, all without a single human hand
- 17:20touching it. It's wild to think about.
- 17:22Now, as artificial intelligence merges with these automated
- 17:25guided vehicles and automated retrieval systems, how long will
- 17:29it be before factories are no longer places where humans use
- 17:31machines, but rather giant self-contained robots that
- 17:35simply operate themselves? If you haven't already, give us
- 17:38a like and follow and please leave us a comment if you enjoy
- 17:40the podcast. We love to hear from the folks
- 17:42who make this possible.