100 lines
6.0 KiB
Python
100 lines
6.0 KiB
Python
import agentpy as ap
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import numpy as np
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import random
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class ProduceSystem(ap.Agent):
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ev_str_status: int # 0,6,8,10 pp_id
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ev_lst_backtrans_material: list # 退回Iss的原材料
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ev_ary_produce_number: np.ndarray
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xv_ary_bom: np.ndarray
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xv_ary_plan: np.ndarray
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xv_product_num: int
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ev_ary_product: np.ndarray
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xv_ary_material: np.ndarray
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def setup(self, xv_ary_bom, xv_ary_plan, xv_product_num, xv_ary_product_id, xv_ary_material_id):
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self.ev_str_status = 0 # 设置初始生产状态
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self.ev_lst_backtrans_material = []
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self.ev_ary_produce_number = np.zeros((xv_product_num, 2))
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self.xv_ary_bom = xv_ary_bom
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self.xv_ary_plan = xv_ary_plan
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self.xv_product_num = xv_product_num
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self.ev_ary_product = xv_ary_product_id
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self.xv_ary_material = xv_ary_material_id
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def change_status(self):
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self.ev_str_status = self.model.the_firm.the_os.ev_int_produce_type
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def run_produce(self, ev_lst_trans_quan_material,
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ev_ary_product_to_produce): # ev_ary_product_to_produce 是 需求和库存的gap 23x1
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# 生产状态由Iss确定，这个函数需要计算生产数量和原材料消耗量。
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# 如果原材料不足，就按照production gap(ev_ary_product_to_produce) 大小进行生产；如果没有gap的产品了，就按照库存水平由少到多进行生产。
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# 输出生产结果和原材料消耗结果
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produce_plan = self.xv_ary_plan[self.xv_ary_plan[:, 0] == self.ev_str_status] # 当前生产状态下的产品生产速度
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sorted_indices = np.argsort(ev_ary_product_to_produce)[::-1]
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sorted_data = ev_ary_product_to_produce[sorted_indices] # 对gap进行从大到小排序
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self.ev_ary_product = self.ev_ary_product[sorted_indices]
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sorted_indices_product = np.argsort(self.model.the_firm.the_is.ev_ary_current_product[:, 1]) # 对库存进行从小到大排序
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# print(sorted_indices_product)
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sorted_data_product = self.model.the_firm.the_is.ev_ary_current_product[sorted_indices_product, :]
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self.ev_lst_backtrans_material = ev_lst_trans_quan_material # 存储退回给Iss的原材料
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self.ev_ary_produce_number = np.zeros((self.xv_product_num, 2))
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produce_number_lst = []
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for i in range(self.xv_product_num):
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if sorted_data[i] > 0: # gap存在
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product_material = self.xv_ary_bom[self.xv_ary_bom[:, 0] == self.ev_ary_product[i]]
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# print(product_material)
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# print(self.xv_ary_material)
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# print(len(self.xv_ary_material))
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# print(np.where(self.xv_ary_material == 'D12087F2126')[0][0])
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# print(produce_plan[produce_plan[:, 1] == self.ev_ary_product[i]])
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produce_number = float(produce_plan[produce_plan[:, 1] == self.ev_ary_product[i]][0, 3])
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# print(type(produce_number))
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for material in product_material:
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if np.isnan(
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self.ev_lst_backtrans_material[np.where(self.xv_ary_material == material[1])[0][0]] / float(
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material[
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2])):
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number = 100000
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else:
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number = self.ev_lst_backtrans_material[
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np.where(self.xv_ary_material == material[1])[0][0]] / float(material[
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2])
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produce_number = min(produce_number, int(number)) # 取能生产的最小个数
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for material in product_material:
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# print(type(np.where(self.xv_ary_material == material[1])))
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self.ev_lst_backtrans_material[
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np.where(self.xv_ary_material == material[1])[0][0]] -= produce_number * \
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float(material[
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2]) # 更新原材料消耗情况
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produce_number_lst.append([self.ev_ary_product[i], produce_number])
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sorted_data_product = sorted_data_product[sorted_data_product[:, 0] != self.ev_ary_product[i]]
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else:
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for current_product in sorted_data_product:
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product_material = self.xv_ary_bom[self.xv_ary_bom[:, 0] == current_product[0]]
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produce_number = float(produce_plan[produce_plan[:, 1] == current_product[0]][0, 3])
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for material in product_material:
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if np.isnan(self.ev_lst_backtrans_material[
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np.where(self.xv_ary_material == material[1])[0][0]] / float(material[
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2])):
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number = 100000
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else:
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number = self.ev_lst_backtrans_material[
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np.where(self.xv_ary_material == material[1])[0][0]] / float(material[
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2])
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produce_number = min(produce_number, int(number)) # 取能生产的最小个数
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for material in product_material:
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self.ev_lst_backtrans_material[
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np.where(self.xv_ary_material == material[1])[0][0]] -= produce_number * \
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float(material[
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2]) # 更新原材料消耗情况
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produce_number_lst.append([current_product[0], produce_number])
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break
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self.ev_ary_produce_number = np.array(produce_number_lst)
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# return self.ev_ary_produce_number, self.ev_lst_backtrans_material
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