WHAT TYPE AGV PROCESS FLOW TEMPLATES WILL I USE?

Question

question

NEEDHELP asked Nov 28 2023 at 3:21 PM Jeanette F commented Nov 29 2023 at 5:18 PM

WHAT TYPE AGV PROCESS FLOW TEMPLATES WILL I USE?

Hello! Im a newbie I would like to ask help if im going to simulate ferry simulation. There are 11 stations and every stations the avg(ferry) pick up and unload passengers. what type of AVG process template will I use? can you give me some example work? thank you!

Draft Ferry.fsm

Software Version:

FlexSim 24.0.0 beta

stations avg pickup drop off

screenshot-2023-11-28-232546.png (121.1 KiB)

ferry.fsm (209.1 KiB)

ferry.fsm (209.2 KiB)

draft-ferry.fsm (208.9 KiB)

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Answer 1 · 2023-11-28T15:43:25Z

Jason Lightfoot answered Nov 28 2023 at 3:43 PM Jeanette F commented Nov 29 2023 at 5:18 PM

You should read the documentation on the templates for which I've summarised functionality in this table:

Features	BasicAGV	AGV with Work Forwarding	AGV with Basic Parking	AGV with Heuristic Parking	Advanced AGV
Look for work loop	X	X	X	X	X
AGV work list	X	X	X	X	X
Work Forwarding		X	X	X	X
Park at work point			X	X	X
Load multiple items			X	X	X
Battery Tracking				X	X
Park locations				X	X
Pickup locations					X
Dropoff Locations					X

· 6

NEEDHELP commented · Nov 28 2023 at 4:58 PM

Hello! do you have some example work about my scenario problem? for my basis thank you

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Jason Lightfoot ♦♦ NEEDHELP commented · Nov 28 2023 at 5:23 PM

No, I've used network nodes and lists before for ferry modelling. You may be able to use the GIS instead.

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NEEDHELP Jason Lightfoot ♦♦ commented · Nov 29 2023 at 12:56 AM

Can I ask if I use GIS it is applicable to have queuing per stations?

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NEEDHELP commented · Nov 28 2023 at 5:10 PM

I also add if I optimize the scheduling of the ferry system what will I use?

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Jason Lightfoot ♦♦ NEEDHELP commented · Nov 28 2023 at 5:59 PM

FlexSim has an optional optimizer called OptQuest. You can also try using AI/Reinforcement Learning. The key things you'll need to identify are the parameters that can be changed by the optimizer and the goal/reward function by which trials will be evaluated.

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