如何解决Simpy:使用 Simpy
我有一个项目,我想用 simpy 模拟一个 RMFS 仓库。我真的很感激任何人都可以帮助我,因为我是 simpy 和卡住的新手,我不知道如何建模。我尝试了不同的代码,但没有一个可以正常工作。这是我的假设: 1- 仓库是一个网格,每个单元格都包含许多数量的 1 种类型的物品(物品 1,2,3,...),类似于所附照片。它有一个唯一的地址 2- 订单在预定义的时间内出现(例如均匀分布 2 分钟) 3- 然后将订单分配给一个机器人(我们有 10 个机器人)去检索订单。需要3分钟 4-然后机器人将订单交付到工作站进行下一步(例如从机器人那里挑选订单并打包)。这将需要 2 分钟。 5- 然后机器人去把订单放回去,等待下一个订单。
解决方法
试一试,我建模的过程是
基本流程:
-
订单到了,
-
订单获取一个机器人(如果所有机器人都在使用,则在队列中等待),
-
订单获取单元格(等待单元格已被另一个订单占用),
-
从单元格中选取,
-
放回手机,
-
释放机器人
因此,而不是让单元成为资源池(这需要一个匹配的函数来获得所需的单元),每个单元都有自己的容量为 1 的资源池。我用它来对单元的请求进行排队,然后所有单元格都在一个字典中,以便于访问
事后看来,如果我让订单在抓住机器人之前先占领牢房,我认为我可以获得更好的吞吐量。
"""
modes a robot warehouse where robots get pulls a cell
and brings it to a picker who picks stuff from the cell,then returns the cell back to the warehouse
basic process:
order arrives
order gets a robot (wait in a queue if all robots are in use)
order gets cell (wait if cell has been seized by another order)
pick from cell
put cell back
release robot
programmer: Michael R. Gibbs
"""
import simpy
import random
class Order():
"""
Order to be fulfilled
has unique id for tracking
and the cell id to pull
"""
# class var used to gen unique ids
next_id = 1
def __init__(self,cell):
"""
initalizes a order with a unique id and a cell to pull
"""
# set unique id
self.id = Order.next_id
Order.next_id += 1
# set cell to pull
self.cell = cell
class Cell():
"""
Cell that robots retrieve so pickers can pick
A cell can only be seized by one robot at a time
so each cell has its own request queue implemented
with a simple resouce. Could have put all the cells in
one matching store,but I think this is more effecient
as the matching can be slow with big queues
"""
def __init__(self,env,id):
"""
Initializes a cell with a id,and a request/resouce queue
"""
self.id = id
self.env = env
# used to queue requests for the cell
self.resQueue = simpy.Resource(env,capacity=1)
# request that currently holds the cell's resource
self.request = None
def seize(self):
"""
gets in queue and waits to seize cell
"""
request = self.resQueue.request() # Generate a request event
yield request
# save the request that has the cell so can release latter
self.request = request
return self
def release(self):
"""
releases the cell so other robots can seize it
"""
yield self.resQueue.release(self.request)
self.request = None
def gen_orders(env,cellMap,robots):
"""
Generates orders at a random distrubution
and kicks off the fill order process for the order
"""
while True:
# time between arrivals
yield env.timeout(random.uniform(0,2))
# create order and assign cell
cell = random.randint(1,len(cellMap))
order = Order(cell)
print(env.now,f'Order {order.id} has been created')
# start process to fulfill the order
# do not use yield here,just drop and go to next order
env.process(fill_order(order,robots))
def fill_order(order,robots):
"""
the order filling process
this process gets created for each order
"""
# get a robot
print(env.now,f'order {order.id} waits for robot')
with robots.request() as req:
yield req
print(env.now,f'order {order.id} has a robot')
# get the cell
print(env.now,f'order {order.id} waits for cell {order.cell}')
cell = cellMap[order.cell]
yield env.process(cell.seize())
print(env.now,f'order {order.id} has seized cell {order.cell}')
# pull the cell
yield env.timeout(3)
print(env.now,f'order {order.id} has pulled cell {order.cell}')
# pick
yield env.timeout(2)
print(env.now,f'order {order.id} has picked')
# return cell
yield env.timeout(3)
env.process(cell.release())
print(env.now,f'order {order.id} has return cell {order.cell}')
# release robot
print(env.now,f'order {order.id} has released a robot')
# start building the sim
env = simpy.Environment()
# made only 10 cells so orders are more likely to compete for a cell
cellMap = {id:Cell(env,id) for id in range(1,10)}
robots = simpy.Resource(env,capacity=10)
# start generating orders,which also kicks off the processing for each order
env.process(gen_orders(env,robots))
env.run(100)
,
这是考虑到 6*9 仓库的代码更新。我还为它添加了一个提升机构。感谢您对我们如何改进和优化它的评论。以及如何向其添加报告。
"""
modes a robot warehouse where robots get pulls a cell
and brings it to a picker who picks stuff from the cell,then returns the cell back to the warehouse
basic process:
order arrives
order gets a robot (wait in a queue if all robots are in use)
order gets cell (wait if cell has been seized by another order)
pick from cell
put cell back
release robot
programmer: Michael R. Gibbs
"""
import simpy
import random
random.seed(0)
NUM_ROBOTS = 10
NUM_PICKERS = 1
NUM_GANTRY = 2
EXT_CELLS = [1,2,3,4,5,6,7,12,13,18,19,24,25,30,31,36,37,42,43,48,49,50,51,52,53,54]
INT_CELLS = [8,9,10,11,14,15,16,17,20,21,22,23,26,27,28,29,32,33,34,35,38,39,40,41,44,45,46,47]
class Order():
"""
Order to be fulfilled
has unique id for tracking
and the cell id to pull
"""
# class var used to gen unique ids
next_id = 1
def __init__(self,cell):
"""
initalizes a order with a unique id and a cell to pull
"""
# set unique id
self.id = Order.next_id
Order.next_id += 1
# set cell to pull
self.cell = cell
class Cell():
"""
Cell that robots retrieve so pickers can pick
A cell can only be seized by one robot at a time
so each cell has its own request queue implemented
with a simple resource.
"""
def __init__(self,and a request/resource queue
"""
self.id = id
self.env = env
# used to queue requests for the cell
self.resQueue = simpy.Resource(env,capacity=1)
# request that currently holds the cell's resource
self.request = None
def seize(self):
"""
gets in queue and waits to seize cell
"""
request = self.resQueue.request() # Generate a request event
yield request
# save the request that has the cell so can release latter
self.request = request
return self
def release(self):
"""
releases the cell so other robots can seize it
"""
yield self.resQueue.release(self.request)
self.request = None
def gen_orders(env,robots):
"""
Generates orders at a random distribution
and kicks off the fill order process for the order
"""
while True:
# time between arrivals
yield env.timeout(random.expovariate(1.0/1.5))
# create order and assign cell
cell = random.randint(1,len(cellMap))
order = Order(cell)
print('{:.2f} Order {} received for item in cell #{}'.format(env.now,order.id,order.cell))
# start process to fulfill the order
# do not use yield here,just drop and go to next order
if cell in EXT_CELLS:
env.process(fill_order(order,robots,pickers))
else:
env.process(fill_order_internal(order,pickers,gantry))
def fill_order(order,pickers):
"""
the order filling process
this process gets created for each order
"""
#indicate cell status
print(format(env.now,'.2f'),f'order {order.id} cell {order.cell} is an external cell')
# get a robot
print('{:.2f} order {} waits for robot'.format(env.now,order.id))
with robots.request() as req:
yield req
print('{:.2f} order {} assigned to robot# {}'.format(env.now,robots.count))
# get the cell
print(format(env.now,f'order {order.id} waits for cell {order.cell}')
cell = cellMap[order.cell]
yield env.process(cell.seize())
print(format(env.now,f'order {order.id} has seized cell {order.cell}')
# pull the cell
yield env.timeout(3)
print(format(env.now,f'order {order.id} has pulled cell {order.cell} by robot#{robots.count}')
# pick
with pickers.request() as picker_req:
yield picker_req
yield env.timeout(random.triangular(0.5,1.2,1.8))
print(format(env.now,f'order {order.id} has picked')
# return cell
yield env.timeout(3)
env.process(cell.release())
print(format(env.now,f'order {order.id} has return cell {order.cell} by robot# {robots.count}')
# release robot
print('{:.2f} order {} has released a robot'.format(env.now,order.id))
def fill_order_internal(order,gantry):
"""
the order filling process for internal cells
this process gets created for each order
"""
#indicate cell status
print(format(env.now,f'order {order.id} cell {order.cell} is an internal cell')
# get a robot
print('{:.2f} order {} waits for robot and gantry'.format(env.now,robots.count))
# get the cell
print(format(env.now,f'order {order.id} has seized cell {order.cell}')
# get the gantry
with gantry.request() as req_gantry:
yield req_gantry
print('{:.2f} order {} assigned to gantry# {}'.format(env.now,gantry.count))
#lift obstacle cells
yield env.timeout(2)
print(format(env.now,f'order {order.id} has lifted obstacles of cell {order.cell} by gantry{gantry.count}')
# pull the cell
yield env.timeout(3)
print(format(env.now,f'order {order.id} has picked')
# get the gantry
with gantry.request() as req_gantry:
yield req_gantry
print('at {:.2f} order {} assigned to gantry# {}'.format(env.now,gantry.count))
# lift obstacle cells for return
yield env.timeout(2)
print(format(env.now,f'order {order.id} has lifted obstacles of cell {order.cell} by gantry{gantry.count}')
# return cell
yield env.timeout(3)
env.process(cell.release())
print(format(env.now,f'order {order.id} has return cell {order.cell} by robot# {robots.count}')
# release robot
print('at {:.2f} order {} has released a robot'.format(env.now,order.id))
# start building the sim
env = simpy.Environment()
# 54 cells for a 6*9 Warehouse
cellMap = {id: Cell(env,55)}
#print(cellMap)
robots = simpy.Resource(env,capacity= NUM_ROBOTS)
pickers = simpy.Resource(env,capacity= NUM_PICKERS)
gantry = simpy.Resource(env,capacity= NUM_GANTRY)
# start generating orders,which also kicks off the processing for each order
env.process(gen_orders(env,robots))
env.run(100)
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