update the status of firm in clean_before_time_step + remove_edge_to_cus_disrupt_cus_up_prod update disrupted status instead of append + proactive find candidate that is not a current supplier for the same product
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@ -82,8 +82,8 @@ class ControllerDB:
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# list_dct = [{'140': ['1.4.5.1']}]
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# list_dct = [{'133': ['1.4.4.1']}]
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# list_dct = [{'2': ['1.1.3']}]
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# list_dct = [{'135': ['1.3.2.1']}]
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list_dct = [{'79': ['2.1.3.4']}]
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list_dct = [{'135': ['1.3.2.1']}]
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# list_dct = [{'79': ['2.1.3.4']}]
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# list_dct = [{'99': ['1.3.3']}]
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# list_dct = [{'41': ['1.4.5']}]
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15
firm.py
15
firm.py
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@ -94,6 +94,9 @@ class FirmAgent(ap.Agent):
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prod]['supply'].keys():
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customer.dct_prod_up_prod_stat[
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prod]['supply'][disrupted_prod] = False
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status, _ = customer.dct_prod_up_prod_stat[
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prod]['status'][-1]
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if status != 'D':
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customer.dct_prod_up_prod_stat[
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prod]['status'].append(('D', self.model.t))
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print(self.name, disrupted_prod.code, 'disrupt',
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@ -294,17 +297,19 @@ class FirmAgent(ap.Agent):
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def clean_before_trial(self):
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self.dct_request_prod_from_firm = {}
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for prod in self.dct_prod_up_prod_stat.keys():
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status, ts = self.dct_prod_up_prod_stat[prod]['status'][-1]
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if ts != self.model.t:
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self.dct_prod_up_prod_stat[prod]['status'].append(
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(status, self.model.t))
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def clean_before_time_step(self):
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self.dct_n_trial_up_prod_disrupted = \
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dict.fromkeys(self.dct_n_trial_up_prod_disrupted.keys(), 0)
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self.dct_cand_alt_supp_up_prod_disrupted = {}
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# update the status of firm
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for prod in self.dct_prod_up_prod_stat.keys():
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status, ts = self.dct_prod_up_prod_stat[prod]['status'][-1]
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if ts != self.model.t:
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self.dct_prod_up_prod_stat[prod]['status'].append(
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(status, self.model.t))
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def get_firm_network_node(self):
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return self.firm_network.positions[self]
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11
model.py
11
model.py
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@ -311,9 +311,16 @@ class Model(ap.Model):
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[product.code == di_supp_node['Product_Code']
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for product in self.a_lst_total_products])[0]
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# find a dfferent firm can produce the same product
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# and is not a current supplier for the same product
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lst_current_supp_code = \
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[self.firm_prod_network.nodes[code]['Firm_Code']
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for code in self.firm_prod_network.predecessors(
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pro_firm_prod_code)
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if self.firm_prod_network.nodes[code][
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'Product_Code'] == di_supp_prod.code]
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lst_cand = self.model.a_lst_total_firms.select([
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firm.is_prod_in_current_normal(di_supp_prod)
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and firm.code != di_supp_node['Firm_Code']
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and firm.code not in lst_current_supp_code
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for firm in self.model.a_lst_total_firms
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])
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if len(lst_cand) > 0:
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@ -388,6 +395,8 @@ class Model(ap.Model):
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# remove edge to customer and disrupt customer up product
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for firm in self.a_lst_total_firms:
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for prod in firm.dct_prod_up_prod_stat.keys():
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# repetition of disrupted firm that last for multiple ts is ok,
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# as their edge has already been removed
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status, ts = firm.dct_prod_up_prod_stat[prod]['status'][-1]
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if status == 'D' and ts == self.t-1:
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firm.remove_edge_to_cus_disrupt_cus_up_prod(prod)
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@ -1,2 +1,2 @@
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n_max_trial,prf_size,prf_conn,cap_limit_prob_type,cap_limit_level,diff_new_conn,crit_supplier,proactive_ratio,remove_t,netw_prf_n
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10,TRUE,TRUE,uniform,10,0.5,0.1,1,5,2
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10,TRUE,TRUE,uniform,10,0.5,0.01,1,5,2
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