# Sink
data[(1, 'start_time')] = None
data[(1, 'process_time')] = None
data[(1, 'process')] = 'Sink'
# Simulation Modeling
env = simpy.Environment()
model = {} # process_dict
process_time = {"Process1": [5.0]} # server에 할당할 process time
# Monitor
filepath = './result/event_log_DD1_1.csv'
Monitor = Monitor(filepath)
Source = Source(env, 'Source', data, model, Monitor)
for i in range(len(process_list) + 1):
if i == len(process_list):
model['Sink'] = Sink(env, 'Sink', Monitor)
else:
model['Process{0}'.format(i + 1)] = Process(env,
'Process{0}'.format(i + 1),
server_num,
model,
Monitor,
process_time=process_time)
start_sim = time.time()
env.run(until=run_time)
finish_sim = time.time()
Throughput_graph = True
save_graph = True
if save_graph:
save_path = './data/fitting_data'
if not os.path.exists(save_path):
os.makedirs(save_path)
# samp_dist = functools.partial(random.expovariate, 1)
samp_dist = 1
m_assy = 334
m_oft = 322
m_pnt = 263
Source = Source(env, "Source", data)
Sink = Sink(env, "Sink", rec_lead_time=True, rec_arrivals=True)
Assembly = Process(env, "Assembly", m_assy,
qlimit=10000) # 조립 공정 작업장 수 = 200
Outfitting = Process(env, "Outfitting", m_oft,
qlimit=10000) # 의장 공정 작업장 수 = 185
Painting = Process(env, "Painting", m_pnt,
qlimit=10000) # 도장 공정 작업장 수 = 155
Monitor1 = Monitor(env, Assembly, samp_dist)
Monitor2 = Monitor(env, Outfitting, samp_dist)
Monitor3 = Monitor(env, Painting, samp_dist)
Source.out = Assembly
Assembly.out = Outfitting
Outfitting.out = Painting
parts.append(Part(df.index[i], df.iloc[i]))
# Modeling
env = simpy.Environment()
##
process_list = list(data.drop_duplicates(['process1'])['process1'])
process_list += list(data.drop_duplicates(['process2'])['process2'])
model = {}
server_num = [1 for _ in range(len(process_list))]
filepath = '../result/event_log_supply_chain.csv'
Monitor = Monitor(filepath)
Source = Source(env, parts, model, Monitor)
# process modeling
for i in range(len(process_list) + 1):
if i == len(process_list):
model['Sink'] = Sink(env, Monitor)
else:
model[process_list[i]] = Process(env, process_list[i], server_num[i], model, Monitor, capacity=1)
# Simulation
start = time.time() # 시뮬레이션 실행 시작 시각
env.run()
finish = time.time() # 시뮬레이션 실행 종료 시각
print('#' * 80)
print("Results of simulation")
WIP_graph = True
Throughput_graph = True
save_graph = True
if save_graph:
save_path = './data/factory physics'
if not os.path.exists(save_path):
os.makedirs(save_path)
# samp_dist = functools.partial(random.expovariate, 1)
samp_dist = 1
m_1 = 1
m_2 = 1
Source = Source(env, "Source", data)
Sink = Sink(env, "Sink", rec_lead_time=True, rec_arrivals=True)
Process1 = Process(env, "Process1", m_1, qlimit=10000) # 조립 공정 작업장 수 = 200
Process2 = Process(env, "Process2", m_2, qlimit=10000) # 의장 공정 작업장 수 = 185
Monitor1 = Monitor(env, Process1, samp_dist)
Monitor2 = Monitor(env, Process2, samp_dist)
Source.out = Process1
Process1.out = Process2
Process2.out = Sink
# Run it
start = time.time()
env.run()
finish = time.time()