问题描述
我正在尝试使用 PuLP 模块优化商店时间表,但我遇到了第 4 个约束的问题 下面将详细说明约束条件
- Store_demand 的总和不应超过一天的容量(
- 每个商店将根据其天数(Store_Days)分配工作日
例如:“S4”只能在三天内安排
EX:“S4”商店
-
如果第一天是在 SAT 上安排的,那么其他日子将是 MON 和 周三
-
如果第一天被安排在星期日,那么其他日子将是周二和周四
- 应该在 2 天内下降的商店在下一次下降之前应该有两天的间隔
例如:“S8”商店
- 如果第一天安排在 SAT,那么前一天将是 TUE
- 如果它的第一天安排在星期日,那么前一天将是星期三
- 如果第一天安排在星期一,那么前一天就是星期四
我得到了一个最佳解决方案,虽然这不是我需要的结果,因为输出显示连续两天,所以我想我有一个定位问题
例如: enter image description here
我想显示的结果如下表 Store ROUTE Carton SAT SUN MON TUE WED THU DROPS
import pulp
import pandas as pd
import numpy as np
from pulp import *
StoreSched = pd.DataFrame(columns = ["Store_Code","Route","Demand"])
Capacity = 5000
route="R1"
days_list=["SAT","SUN","MON","TUE","WED","THU"]
no_days_list = range(1,7)
Store = ["S1","S2","S3","S4","S5","S6","S7","S8","S9","S10"]
Store_demand = {
"S1":400,"S2":300,"S3":250,"S4":200,"S5":300,"S6":200,"S7":300,"S8":200,"S9":300,"S10":300,}
store_Days = {
"S1":6,"S2":6,"S3":6,"S4":3,"S5":3,"S6":3,"S7":2,"S8":2,"S9":2,"S10":1,}
prob = LpProblem("store_schedule",LpMaximize)
storeVars = LpVariable.dicts("Days",(no_days_list,Store),1,LpInteger)
for d in no_days_list:
# The capacity should not exceeed 1500 in one day
prob += pulp.lpSum([Store_demand[s] * storeVars[d][s] for s in Store]) <= Capacity
for s in Store:
# Every store should be assigned based on its DayNo.
prob += pulp.lpSum(storeVars[d][s] for d in no_days_list) == store_Days[s]
for s in Store:
# one day gap between the assigned dayes for the stores that have three days
if store_Days[s] == 3 :
for d in no_days_list[:-1]:
prob += storeVars[d][s] + storeVars[d+1][s] == 1
for s in Store:
if store_Days[s] == 2 :
for d in no_days_list[:-2]:
prob += storeVars[d][s] + storeVars[d+2][s] == 1
prob.solve()
for vi in prob.variables():
if vi.varValue == 1:
#print(" On "+days_list[int(vi.name.split("_")[1])-1]+" Pharmacy code: "+vi.name.split("_")[2])
code= vi.name.split("_")[2];
#print(code)
day = days_list[int(vi.name.split("_")[1])-1];
#print(day)
if ((StoreSched['Store_Code'] == code).any() == False):
StoreSched = StoreSched.append({'Store_Code': code,"Route":route,"Days":store_Days[code],"Demand":Store_demand[code]},ignore_index=True)
for index in StoreSched.index:
if StoreSched.loc[index,'Store_Code']== code:
StoreSched.loc[index,day] = 1
StoreSched.fillna(0,inplace=True)
StoreSched
解决方法
如果您希望两天之间的间隔为 2,请将约束更改为 prob += storeVars[d][s] + storeVars[d+1][s] + storeVars[d+2][s] == 1
。