135 lines
7.7 KiB
Python
135 lines
7.7 KiB
Python
import agentpy as ap
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import numpy as np
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import pandas as pd
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from collections import deque
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class InventorySystem(ap.Agent):
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xv_ary_initial_material_num: np.ndarray # 初始原材料库存
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xv_ary_initial_product_num: np.ndarray # 初始产成品库存
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ev_ary_current_material: np.ndarray # 当期原材料库存
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ev_ary_current_product: np.ndarray # 当期产成品库存
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ev_ary_material_state_to_use: np.ndarray # 当期预期使用的原材料
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ev_ary_material_to_use: np.ndarray # 当期实际消耗的原材料
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ev_ary_is_order_material: np.ndarray # 是否订购产品
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ev_ary_num_material_to_order: np.ndarray # 订购数量
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ev_ary_num_material_order_done: np.ndarray # 当期送到的数量
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# set the lead time of material replenishment
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xv_ary_lead_time: np.ndarray # 原材料订货的等待时间
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# the list of materials in transit
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ev_lst_trans_quan_material: list # Iss传递给Pss的原材料数量
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ev_lst_backtrans_quan_material: list # Pss退回的原材料数量
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# Material list
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xv_ary_material: np.ndarray
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xv_ary_bom: np.ndarray
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# 原材料订购的开始时间和到达时间
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ev_ary_order_time: np.ndarray
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ev_ary_arrive_time: np.ndarray
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xv_product_num: int
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xv_material_num: int
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xv_ary_plan: np.ndarray
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def setup(self, xv_ary_initial_material_num, xv_ary_initial_product_num, xv_product_num, xv_material_num,
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xv_ary_bom, xv_ary_plan, xv_ary_material_id):
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# Set up the initial inventory quantity
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self.xv_ary_initial_material_num = xv_ary_initial_material_num
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self.xv_ary_initial_product_num = xv_ary_initial_product_num
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self.ev_ary_current_material = xv_ary_initial_material_num # 115*2
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self.ev_ary_current_product = xv_ary_initial_product_num # 23*2
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self.xv_product_num = xv_product_num # 产成品个数
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self.xv_material_num = xv_material_num # 原材料个数
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self.ev_ary_num_material_order_done = np.zeros((xv_material_num,)) # 当期原材料送到的数量 115x1
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# set the lead time of materials
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# 读取各个原材料的历史平均交货周期 bom table
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self.xv_ary_lead_time = xv_ary_bom[:, (1, 4)] # 每一种原材料的到货时间（有重复）
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# 切换成原材料
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self.ev_ary_is_order_material = np.array([False for i in range(xv_material_num)]) # 是否订购原材料
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self.ev_ary_num_material_to_order = np.zeros((xv_material_num,)) # 原材料订货数量
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self.ev_ary_material_state_to_use = np.zeros((xv_material_num,)) # 一个周期内按照设定生产状态完全生产 原材料消耗数量 计划
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self.ev_ary_material_to_use = np.zeros((xv_material_num,)) # 当期实际消耗的原材料数量
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self.xv_ary_material = xv_ary_material_id # 原材料顺序
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self.xv_ary_bom = xv_ary_bom # bom表
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self.xv_ary_plan = xv_ary_plan # plan表
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self.ev_lst_trans_quan_material = [0 for i in range(xv_material_num)] # Iss传递给Pss的原材料数量
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self.ev_lst_backtrans_quan_material = [0 for i in range(xv_material_num)] # Pss退回的原材料数量
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self.ev_ary_order_time = np.zeros((xv_material_num,)) # 原材料订货时间戳
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self.ev_ary_arrive_time = np.zeros((xv_material_num,)) # 原材料到货时间戳
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# def material_state_to_use(self, ev_int_produce_type, xv_plan_excel):
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# # 读取Oss决定的生产状态，根据生产状态所需的原材料进行汇总
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# # self. ev_ary_material_state_to_use = np.multiply(self.xv_array_dlv_product, 原材料表 )
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# produce_state = ev_int_produce_type # 获取生产状态
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def material_state_to_use(self): # 根据生产状态 看生产一个周期需要多少原材料
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# 读取Oss决定的生产状态，根据生产状态所需的原材料进行汇总
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# self. ev_ary_material_state_to_use = np.multiply(self.xv_array_dlv_product, 原材料表 )
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produce_state = self.model.the_firm.the_os.ev_int_produce_type # 获取生产状态
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produce_plan = self.xv_ary_plan[self.xv_ary_plan[:, 0] == produce_state] # 该生产状态下各产品的生产计划
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for product_plan in produce_plan:
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for bom in self.xv_ary_bom:
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if product_plan[1] == bom[0]:
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self.ev_ary_material_state_to_use[np.where(self.xv_ary_material == bom[1])] += float(
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product_plan[3]) * \
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float(bom[
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2]) # 某原材料的生产数量加等产品生产量乘单位原材料消耗量
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def material_check(self): # 检查库存是否充足
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# 根据Iss决策，核对库存是否充足，并将拥有的原材料交给Pss
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# 可能需要一部生成原材料列表在调用
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# Check whether materials are enough and transfer material
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# print(len(self.ev_ary_current_material), self.xv_material_num)
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# print(self.ev_ary_current_material[0, 1])
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for i in range(self.xv_material_num):
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self.ev_lst_trans_quan_material[i] = float(min(float(self.ev_ary_current_material[i, 1]),
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self.ev_ary_material_state_to_use[i])) # 需要数量和库存两者间的较小值
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# if self.ev_ary_current_material[i, 1] >= ev_ary_material_state_to_use[i]: # 库存足够按照计划生产
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# self.ev_lst_trans_quan_material[i] = ev_ary_material_state_to_use[i]
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# else:
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# self.ev_lst_trans_quan_material[i] = self.ev_ary_current_material[i]
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# print(type(self.ev_lst_trans_quan_material[i]))
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def consume_and_store(self, ev_ary_produced_num, ev_changed_product,
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ev_lst_backtrans_material):
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self.ev_lst_backtrans_quan_material = ev_lst_backtrans_material # Pss传回的原材料数量
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# Update the inventory after production
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for i in range(self.xv_material_num):
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self.ev_ary_material_to_use[i] = self.ev_lst_trans_quan_material[i] - \
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self.ev_lst_backtrans_quan_material[i]
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if self.ev_ary_arrive_time[i] == self.model.t: # 判断材料是否到达
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self.ev_ary_current_material[i, 1] = float(self.ev_ary_current_material[i, 1]) - self.ev_ary_material_to_use[i] \
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+ self.ev_ary_num_material_to_order[i] # 减消耗量 加订购量
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self.ev_ary_num_material_to_order[i] = 0
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self.ev_ary_is_order_material[i] = False
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self.ev_ary_current_product[:, 1] = ev_changed_product + np.array([float(x) for x in ev_ary_produced_num[:, 1]]) # 上期期末加本期生产
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# return self.ev_ary_current_material, self.ev_ary_current_product
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def material_replenishment(self, xv_ary_s, xv_ary_S):
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# Check the inventory of material to decide whether to replenish
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# 核对原材料数量是否低于s
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# 带时间戳
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for i in range(self.xv_material_num):
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if self.ev_ary_current_material[i, 1] <= xv_ary_s[i, 1] and self.ev_ary_is_order_material[i] == False:
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self.ev_ary_is_order_material[i] = True
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self.ev_ary_num_material_to_order[i] = float(xv_ary_S[i, 1]) - float(self.ev_ary_current_material[i, 1])
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self.ev_ary_order_time[i] = self.model.t
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self.ev_ary_arrive_time[i] = self.ev_ary_order_time[i] + float(self.xv_ary_lead_time[
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self.xv_ary_lead_time[:, 0] == self.ev_ary_current_material[i, 0]][0, 1])
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else:
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self.ev_ary_num_material_to_order[i] = 0
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