def __init__(self, index, vision,freq, mu, sigma, label = "BS", lead_time = ld.Uniform_LeadTime(2,2,1), BS_level = 20):
Agent.__init__(self, index = index, lead_time = lead_time, label = label+"("+str(BS_level)+")")
self.BS_level = BS_level
self.vision = vision
self.freq = freq
self.lastupdate = 0
self.average = mu
def __init__(self, index = 0, lead_time = None, label="agent"):
self.i = index
self.label = label
self.is_AI_agent = False
if lead_time:
self.lead_time = lead_time
else:
self.lead_time = ld.Uniform_LeadTime(2,2,1)
def __init__(self, index, sigma, TS, mu, label = "SS_Gauss", lead_time = ld.Uniform_LeadTime(2,2,1)):
"""
index : position agent dans la chaine
sigma : sigma de la demande gaussienne à lequel l'agent va faire face
TS : souhaité par le client
mu : mu de la demande gaussienne à lequel l'agent va faire face
label :
lead_time :
"""
Agent.__init__(self, index = index, lead_time = lead_time, label = label)
self.mu = mu
self.leadtime=lead_time
global dict_z
z = dict_z[str(TS)]
#Base stock = point de commande de stock (lead_time * mu) + stock de securité
self.BS_level = int(np.sqrt(self.leadtime.Mean) * sigma * z + (self.leadtime.Mean) * self.mu)+1
def __init__ (self, index, sigma, TS, demand , label = "SS_Seas", lead_time = ld.Uniform_LeadTime(2,2,1), BS_level = 20):
"""
Args:
index : agent's index
sigma : standard deviation
TS : Taux de service
demand : end client seasonal demand instance
nb_periodes : number of periods that will have the demand. Used to create the list of averages per period
label : agent's label
lead_time : lead time of the agent
"""
self.BS_level_list = []
demand_avg = demand.demand_avg
self.size = len(demand_avg)
global dict_z
z = dict_z[str(TS)]
for t in range(self.size):
self.BS_level_list.append(int(np.sqrt(lead_time.Mean) * sigma * z + demand_avg[t]*lead_time.Mean))
import Demand as Demand
import LeadTime as ld
import numpy as np
DEFAULT_PARAMS = {
'client_demand': Demand.Uniform_Demand(1,10,Step = 1),
'lead_times':[ld.Uniform_LeadTime(2,3), ld.Uniform_LeadTime(2,3),
ld.Uniform_LeadTime(2,3), ld.Uniform_LeadTime(2,3)],
'AI_possible_actions': np.arange(-10,11),
'm' :1,
'shortage_cost':4,
'holding_cost':1,
'initial_inventory':20,
'number_periods':52,
'use_backorders':1,
'state_features':["IL" ,"d", "BO", "RS", "OO"],
'AI_DN':[10,10]
}
def __init__(self, index, label = "BS", lead_time = ld.Uniform_LeadTime(2,2,1), BS_level = 20):
Agent.__init__(self, index = index, lead_time = lead_time, label = label+"("+str(BS_level)+")")
self.BS_level = BS_level
def __init__(self, index, lead_time = ld.Uniform_LeadTime(2,2,1), RND_possible_actions = [-5, 0, 5], label = "RND"):
Agent.__init__(self, index = index, lead_time = lead_time, label = label)
self.RND_possible_actions = RND_possible_actions