我的紙漿（使用線性編程進行批量調整）代碼中不斷出現錯誤，這是什么問題？

Question

我需要用線性規划分析很多尺寸問題，但我的紙漿代碼無法正常工作。

from pulp import *

prob = LpProblem("Lot_Sizing_Problem", LpMinimize)

period = []
for i in range(H):
    period.append(i)

order = LpVariable.dicts('order', period, lowBound = 0, upBound = 1, cat='integer'),
orderamount = LpVariable.dicts('orderamount', period, lowBound = 0, cat='integer'),
inventory = LpVariable.dicts('orderamount', period, lowBound = 0, cat='integer'),

prob += lpSum([A*period[i]+h*(inventory[i]+orderamount[i]-D[i]) for i in period])

prob += (inventory[i+1] for i in period) == inventory[i]+orderamount[i]-D[i]
prob += (orderamount[i] for i in period) <= M*order[i]
prob += (orderamount[i] for i in period) == D[i] - inventory[i]

prob.solve()

我不斷收到此錯誤： TypeError: unsupported operand type(s) for +: 'dict' and 'dict'

這些是一些要輸入的示例值，結果應該是 102.0： 這些是這些值的含義：（時間范圍：H，持有成本：h，固定設置成本：A，生產能力：C，需求清單：D，和大M：M）

H=10
h=0.5
A=10
C=18
D=[12,10,13,14,13,15,17,20,19,14]
M=C

謝謝！

Answer 1

有不少錯誤。

from pulp import *

prob = LpProblem("Lot_Sizing_Problem", LpMinimize)

H=10
h=0.5
A=10
C=18
D=[12,10,13,14,13,15,17,20,19,14]
M=100

period = list(range(H))

order = LpVariable.dicts('order', period, lowBound = 0, upBound = 1, cat='integer')
orderamount = LpVariable.dicts('orderamount', period, lowBound = 0, cat='integer')
inventory = LpVariable.dicts('inventory', period, lowBound = 0, cat='integer')

prob += lpSum([A*period[i]+h*(inventory[i]+orderamount[i]-D[i]) for i in period])

for i in period:
  if i<H-1:
    prob += inventory[i+1]  == inventory[i]+orderamount[i]-D[i]
  prob += orderamount[i]  <= M*order[i]
  prob += orderamount[i]  == D[i] - inventory[i]

prob.solve()

請注意，使用 dicts 進行整數索引並不是一種正常的方法。 所以，我可能會寫：

order = [LpVariable(...) for i in period]

等等。