From 5b9dbb266bac817dcefa2ff1d512b698b5e9b8d0 Mon Sep 17 00:00:00 2001 From: LongxingTan Date: Sat, 16 Sep 2023 22:14:29 +0800 Subject: [PATCH 1/5] update resource --- lekin/lekin_struct/resource.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/lekin/lekin_struct/resource.py b/lekin/lekin_struct/resource.py index 68889cd..aee0f85 100644 --- a/lekin/lekin_struct/resource.py +++ b/lekin/lekin_struct/resource.py @@ -4,6 +4,7 @@ import math from typing import Any, Callable, Dict, Generator, List, Optional, Tuple, Type, Union + import numpy as np import pandas as pd @@ -72,7 +73,6 @@ def get_latest_available_time(self, duration=None, end=None): self.update_continuous_empty_hours() return max([i + 1 for (i, v) in enumerate(self.continuous_empty_hours[:end]) if v >= duration]) - def update_continuous_empty_hours(self): if len(self.available_hours) != len(self._available_timeslots): pass From 5f6079f4d435f8aa93656a6f24c5c837a8f97ec8 Mon Sep 17 00:00:00 2001 From: LongxingTan Date: Sat, 16 Sep 2023 22:16:46 +0800 Subject: [PATCH 2/5] update back --- lekin/solver/construction_heuristics/backward.py | 4 +--- 1 file changed, 1 insertion(+), 3 deletions(-) diff --git a/lekin/solver/construction_heuristics/backward.py b/lekin/solver/construction_heuristics/backward.py index b48d967..454e1dd 100644 --- a/lekin/solver/construction_heuristics/backward.py +++ b/lekin/solver/construction_heuristics/backward.py @@ -8,7 +8,6 @@ from lekin.lekin_struct.resource import ResourceCollector from lekin.lekin_struct.route import RouteCollector from lekin.lekin_struct.timeslot import TimeSlot - from lekin.solver.construction_heuristics.base import BaseScheduler @@ -20,7 +19,6 @@ def __init__( route_collector: RouteCollector = None, **kwargs, ) -> None: - self.job_collector = job_collector self.resource_collector = resource_collector self.route_collector = route_collector @@ -51,7 +49,7 @@ def scheduling_job(self, job: Job, resource_collector, route_collector: RouteCol op_earliest_start = 0 # forward constraint op_latest_end = 150 # backward constraint - + for operation in job.operations[::-1]: # inverse for backward logging.info(f"\tAssign Operation {operation.operation_id} of Job {job.job_id}") chosen_resource, chosen_timeslot_hour = self.find_best_resource_and_timeslot_for_operation( From 878d82eaf90de6b8874a66fd6df838666b60fa5a Mon Sep 17 00:00:00 2001 From: LongxingTan Date: Wed, 13 Sep 2023 14:50:57 +0800 Subject: [PATCH 3/5] fix: update operation --- lekin/lekin_struct/operation.py | 12 ++++++++---- lekin/solver/__init__.py | 3 ++- 2 files changed, 10 insertions(+), 5 deletions(-) diff --git a/lekin/lekin_struct/operation.py b/lekin/lekin_struct/operation.py index 6814831..571017a 100644 --- a/lekin/lekin_struct/operation.py +++ b/lekin/lekin_struct/operation.py @@ -11,10 +11,12 @@ def __init__( operation_id: str, operation_name: str, quantity: int, - processing_time: Union[int, List[int]], - pre_time=0, # setup times - post_time=0, - lead_time=0, + beat_time: Union[int, List[int], float, List[float]], + processing_time: Union[int, List[int], float, List[float]], + pre_time: float = 0, # setup times + post_time: float = 0, + lead_time: float = 0, + lag_time: float = 0, route_constraint=None, available_resource=None, available_resource_priority=None, @@ -26,10 +28,12 @@ def __init__( self.operation_id = operation_id self.operation_name = operation_name self.quantity = quantity + self.beat_time = beat_time self.processing_time = processing_time self.pre_time = pre_time self.post_time = post_time self.lead_time = lead_time + self.lag_time = lag_time # self.demand_time = demand_time self.route_constraint = route_constraint self.available_resource = available_resource diff --git a/lekin/solver/__init__.py b/lekin/solver/__init__.py index 2fd6773..cd5f2f6 100644 --- a/lekin/solver/__init__.py +++ b/lekin/solver/__init__.py @@ -109,7 +109,8 @@ def find_best_resource_and_timeslot_for_operation( just_in_time_end_time_slot = max([i for i in resource_all_available_end_time if i <= latest_end_time]) print(latest_end_time, just_in_time_end_time_slot) - working_hours = (operation.processing_time[i] * operation.quantity) / 60 + if hasattr(operation.beat_time, "__iter__"): + working_hours = (operation.beat_time[i] * operation.quantity) / 60 unoccupied_hours = resource.get_available_time_slots_within_time() if unoccupied_hours >= working_hours: From 628c18b2f3181fe441997551c080cf86a4e80b13 Mon Sep 17 00:00:00 2001 From: LongxingTan Date: Sat, 16 Sep 2023 22:17:59 +0800 Subject: [PATCH 4/5] update requirement --- docs/source/application.rst | 53 + docs/source/demand.rst | 2 + docs/source/index.rst | 1 + lekin/forecast/__init__.py | 0 .../construction_heuristics/backward.py | 8 + lekin/solver/construction_heuristics/mix.py | 72 + lekin/solver/utils/__init__.py | 0 lekin/solver/utils/push_dense.py | 28 + poetry.lock | 3100 +++++++++-------- pyproject.toml | 4 +- 10 files changed, 1735 insertions(+), 1533 deletions(-) create mode 100644 docs/source/demand.rst create mode 100644 lekin/forecast/__init__.py create mode 100644 lekin/solver/construction_heuristics/mix.py create mode 100644 lekin/solver/utils/__init__.py create mode 100644 lekin/solver/utils/push_dense.py diff --git a/docs/source/application.rst b/docs/source/application.rst index b342da8..cb02c4a 100644 --- a/docs/source/application.rst +++ b/docs/source/application.rst @@ -48,6 +48,59 @@ BOM: Bill Of Materials 解决冲突的过程，即是一个顺排的过程。把所有分布在该资源上的任务根据顺序进行顺排 +车间过程1-倒排+顺排 +------------------- + +先排冻结期 +- 只assign资源和日历 + + +排锁定任务 +- 只倒排，如果倒排不可行则返回错误。按锁定期、按优先级 + - 非关键工序: 按节拍往前排，不考虑齐套时间 + - 关键工序: 如有锁定资源，则按资源情况进行编排 + + +再根据优先级排产 +- 先倒排 + - 第一道关键工序前的非关键工序，先按lead time进行排，并需要二次更新。 + - 关键工序倒排，(task分割会有的)非关键工序则按lead time前推 + - 倒排中时间约束都是最晚时间，但物料约束是最早开始时间。如果时间不足以排产，则该工序及之后的工序都转为顺排重排 + - 遇到共享task，如果之前的共享task被安排的时间更晚，那么剩余工序也转为顺排重排 + - 第一步剩余的非关键工序后拉 + - 如果任务一步中，资源日历不足则进入下一步 +- 倒排有问题则顺排 + - 按各个资源最早可用日期开始排 (此时应该选可以最早的资源)，非关键工序按lead time排，并需要进行二次更新 + - 关键工序顺排 + - 如果遇到共享task不满足时间约束 + - 第一步剩余的非关键工序前拉 + - 如果任何一步中，资源日历不足则返回错误 + + +任务推紧规整 +- 所有任务都采用顺排，类似按资源排产的方法。 +- 按关键工序设置，“是否可以挪动”。每一个资源的第一道关键工序都可以向前，并跟新后续的可挪动状态与开始时间约束 +- 迭代更新 + + +未排任务再次尝试 +- 推紧之后，再次尝试将之前未排的任务进行排产 + + +委外/外协的排产 +- 委外的指定是针对供应商，排到日历中 +- 根据关键工序的产能，按优先级将各委外的部分进行排产 + + +车间过程2-倒排+顺排 +------------------- +仍然是先排锁定任务 + +把所有任务按照交期和最早开工日期进行倒排或顺排，不考虑资源的约束本身 【带来的问题是：资源优先级的选择】 + + +顺排的时候，按照job优先级 【指定 > 优先级】 +- 每一个job都按第一道工序其最早开工日期开始， 可视化 ------------ diff --git a/docs/source/demand.rst b/docs/source/demand.rst new file mode 100644 index 0000000..f25da21 --- /dev/null +++ b/docs/source/demand.rst @@ -0,0 +1,2 @@ +demand +======================================== diff --git a/docs/source/index.rst b/docs/source/index.rst index bc36736..424e99b 100644 --- a/docs/source/index.rst +++ b/docs/source/index.rst @@ -38,6 +38,7 @@ Finite Capacity Planning heuristics rl application + demand api GitHub diff --git a/lekin/forecast/__init__.py b/lekin/forecast/__init__.py new file mode 100644 index 0000000..e69de29 diff --git a/lekin/solver/construction_heuristics/backward.py b/lekin/solver/construction_heuristics/backward.py index 454e1dd..240728e 100644 --- a/lekin/solver/construction_heuristics/backward.py +++ b/lekin/solver/construction_heuristics/backward.py @@ -145,3 +145,11 @@ def optimize_resource_selection(self, resources, operation): scored.append((score, resource)) best = max(scored, key=lambda x: x[0]) return best[1] + + +class Backward(object): + def __init__(self): + pass + + def run(self): + pass diff --git a/lekin/solver/construction_heuristics/mix.py b/lekin/solver/construction_heuristics/mix.py new file mode 100644 index 0000000..a74a1e7 --- /dev/null +++ b/lekin/solver/construction_heuristics/mix.py @@ -0,0 +1,72 @@ +import heapq + + +class JobScheduler: + def __init__(self, available_slots, jobs, routes, operations, resources): + self.available_slots = available_slots + heapq.heapify(self.available_slots) # Convert the list into a min heap + self.jobs = jobs + self.routes = routes + self.operations = operations + self.resources = resources + + def backward_schedule(self): + # Implement your initial backward scheduling pass here + pass + + def assign_resource(self, operation, available_resources): + # Implement resource assignment logic based on availability and scoring + pass + + def analyze_schedule_density(self): + # Implement schedule density analysis + pass + + def identify_bottleneck_resources(self): + # Identify bottleneck resources limiting density + pass + + def push_operations_closer(self, bottleneck_resources): + # Push operations closer on bottleneck resources + pass + + def rescore_operations(self): + # Rescore operations based on priority and slack time + pass + + def reassign_operations(self): + # Reassign operations to reduce gaps + pass + + def reevaluate_routes(self, critical_jobs): + # Re-evaluate routes for critical jobs + pass + + def reschedule_operations(self, critical_jobs): + # Reschedule operations on preferred resources for critical jobs + pass + + def push_dense(self): + # Iteratively push operations closer system-wide + # while True: + # self.backward_schedule() + # density = self.analyze_schedule_density() + # if density is not improved: + # break + pass + + def final_tweaking(self): + # Fine-tune schedules of critical jobs and leverage flexibilities + pass + + def optimize_schedule(self): + self.push_dense() + critical_jobs = self.identify_critical_jobs() + self.reevaluate_routes(critical_jobs) + self.reschedule_operations(critical_jobs) + self.final_tweaking() + return self.schedule + + def identify_critical_jobs(self): + # Identify critical jobs on the schedule + pass diff --git a/lekin/solver/utils/__init__.py b/lekin/solver/utils/__init__.py new file mode 100644 index 0000000..e69de29 diff --git a/lekin/solver/utils/push_dense.py b/lekin/solver/utils/push_dense.py new file mode 100644 index 0000000..425528e --- /dev/null +++ b/lekin/solver/utils/push_dense.py @@ -0,0 +1,28 @@ +def push_dense(schedule): + changed = True + + while changed: + changed = False + + for resource in schedule.resources: + slots = sorted(resource.slots, key=lambda x: x.start_time) + + for i in range(len(slots) - 1): + curr_slot = slots[i] + next_slot = slots[i + 1] + + if curr_slot.end_time < next_slot.start_time: + # Gap exists between operations + + gap = next_slot.start_time - curr_slot.end_time + + if next_slot.operation.can_start_early(gap): + # Update slots + next_slot.start_time -= gap + next_slot.end_time -= gap + + curr_slot.end_time = next_slot.start_time + + changed = True + + return schedule diff --git a/poetry.lock b/poetry.lock index c481683..d0daceb 100644 --- a/poetry.lock +++ b/poetry.lock @@ -1,26 +1,51 @@ +# This file is automatically @generated by Poetry 1.6.1 and should not be changed by hand. + +[[package]] +name = "accessible-pygments" +version = "0.0.4" +description = "A collection of accessible pygments styles" +optional = false +python-versions = "*" 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Scientific/Engineering :: Artificial Intelligence", @@ -53,8 +54,7 @@ homepage = "https://python-lekin.readthedocs.io" [tool.poetry.dependencies] python = ">=3.7,<3.11" - -pandas = "^1.1.0" +#pandas = "^1.1.0" matplotlib = "*" [tool.poetry.dev-dependencies] From 928665fff4fe0acfd54b8fad19f952e4733644fa Mon Sep 17 00:00:00 2001 From: LongxingTan Date: Sat, 16 Sep 2023 22:19:38 +0800 Subject: [PATCH 5/5] update back --- docs/source/application.rst | 23 ++- docs/source/rules.rst | 17 +- .../construction_heuristics/backward.py | 155 ------------------ lekin/solver/construction_heuristics/epst.py | 115 +++++++++++-- .../solver/construction_heuristics/forward.py | 114 ------------- lekin/solver/construction_heuristics/lpst.py | 154 ++++++++++++++--- 6 files changed, 254 insertions(+), 324 deletions(-) delete mode 100644 lekin/solver/construction_heuristics/backward.py delete mode 100644 lekin/solver/construction_heuristics/forward.py diff --git a/docs/source/application.rst b/docs/source/application.rst index cb02c4a..0c75416 100644 --- a/docs/source/application.rst +++ b/docs/source/application.rst @@ -51,21 +51,27 @@ BOM: Bill Of Materials 车间过程1-倒排+顺排 ------------------- -先排冻结期 +先分发冻结期，按锁定期 - 只assign资源和日历 +- 检查物料齐套约束，如果物料不齐套，按齐套排程并给出报警消息 -排锁定任务 -- 只倒排，如果倒排不可行则返回错误。按锁定期、按优先级 - - 非关键工序: 按节拍往前排，不考虑齐套时间 - - 关键工序: 如有锁定资源，则按资源情况进行编排 +再排锁定任务 +- 只倒排，如果倒排不可行则返回错误。按优先级 + - 非关键工序: 按lead_time、节拍往前排，不考虑齐套时间。 + - 关键工序: 如有锁定资源，则按资源情况进行编排。不考虑齐套时间，因为锁定任务是为了确保优先级，物料通过缺料去人工追料 + - 共享工序: 共享工序本身取多个job中靠前的时间断。 + - 原本已经排过的其他job，前序工序需要以此为新的往前推 + - 同时拥有共享工序的job排序适时进行调整，尽量避免以上修改 + - 在冻结期且物料约束不满足: 按最早齐套时间进行排产，同时已排工序进行 -再根据优先级排产 +再根据优先级排产其他任务 - 先倒排 - - 第一道关键工序前的非关键工序，先按lead time进行排，并需要二次更新。 + - 第一道关键工序前的非关键工序，先按lead time进行排，后面需要二次更新。 - 关键工序倒排，(task分割会有的)非关键工序则按lead time前推 - 倒排中时间约束都是最晚时间，但物料约束是最早开始时间。如果时间不足以排产，则该工序及之后的工序都转为顺排重排 + - 另一个思路是，先直接道排到第一个工序，后续一起按照可开始时间进行顺排。甚至等到推紧时一起顺排是否可行呢 - 遇到共享task，如果之前的共享task被安排的时间更晚，那么剩余工序也转为顺排重排 - 第一步剩余的非关键工序后拉 - 如果任务一步中，资源日历不足则进入下一步 @@ -75,6 +81,7 @@ BOM: Bill Of Materials - 如果遇到共享task不满足时间约束 - 第一步剩余的非关键工序前拉 - 如果任何一步中，资源日历不足则返回错误 +- 关键工序完全没有设置的job，按无限产能倒排 任务推紧规整 @@ -92,7 +99,7 @@ BOM: Bill Of Materials - 根据关键工序的产能，按优先级将各委外的部分进行排产 -车间过程2-倒排+顺排 +车间过程2-倒排+顺排2 ------------------- 仍然是先排锁定任务 diff --git a/docs/source/rules.rst b/docs/source/rules.rst index 2acb1be..5b8b3d3 100644 --- a/docs/source/rules.rst +++ b/docs/source/rules.rst @@ -39,17 +39,26 @@ SPT—EDD规则 正推方法确定每个任务的最早开始时间和最早完成时间，逆推方法确定每个任务的最晚完成时间和最晚开始时间。 - - - 顺排 ------------- 顺排和倒排，和其他规则启发式算法一样，一个工序集一个工序集的排。每排一个工序，工序job完成后，更新机器、job状态、后续job状态。 +顺排对下一道工序的约束是：最早开始时间 + +.. code-block:: python + backward(operations, next_op_start_until, with_material_kitting_constraint, align_with_same_production_line, latest_start_time, latest_end_time) -> remaining_operations: list[operations], + + +.. code-block:: python + assign_op(operation, is_critical, direction: str, ) -> chosen_resource, chosen_production_id, chosen_hours, 在顺排中，排的比较紧密的资源往往就是瓶颈资源。 倒排 --------------- -- 每一个MO最早开始时间初始化：max(ESD, today)。确保开始时间不早于今天 +每一个MO最早开始时间初始化：max(ESD, today)。确保开始时间不早于今天，或不早于资源日历最早开始时间 +倒排对下一道工序的约束是: 最晚结束时间 + +.. code-block:: python + forward(operations, next_op_start_until, with_material_kitting_constraint, align_with_same_production_line, earliest_start_time, earliest_end_time) diff --git a/lekin/solver/construction_heuristics/backward.py b/lekin/solver/construction_heuristics/backward.py deleted file mode 100644 index 240728e..0000000 --- a/lekin/solver/construction_heuristics/backward.py +++ /dev/null @@ -1,155 +0,0 @@ -"""backward scheduling""" - -import logging -import math - -from lekin.lekin_struct.job import Job, JobCollector -from lekin.lekin_struct.operation import Operation -from lekin.lekin_struct.resource import ResourceCollector -from lekin.lekin_struct.route import RouteCollector -from lekin.lekin_struct.timeslot import TimeSlot -from lekin.solver.construction_heuristics.base import BaseScheduler - - -class BackwardScheduler(object): - def __init__( - self, - job_collector: JobCollector, - resource_collector: ResourceCollector, - route_collector: RouteCollector = None, - **kwargs, - ) -> None: - self.job_collector = job_collector - self.resource_collector = resource_collector - self.route_collector = route_collector - - for key, value in kwargs.items(): - setattr(self, key, value) - - def run(self) -> None: - for i, job in enumerate(self.job_collector.job_list): - self.scheduling_job(job, self.resource_collector, self.route_collector) - logging.info("First Scheduling Done") - return - - def scheduling_job(self, job: Job, resource_collector, route_collector: RouteCollector) -> None: - logging.info(f"\nAssign Job {job.job_id}") - - if route_collector is not None: - route_id = job.assigned_route_id - route = None - for r in route_collector: - if r.route_id == route_id: - route = r - break - if not route: - print(f"Route with ID '{job.assigned_route_id}' not found for Job ID '{job.job_id}'. Skipping job.") - - job.operations = route.operations_sequence - - op_earliest_start = 0 # forward constraint - op_latest_end = 150 # backward constraint - - for operation in job.operations[::-1]: # inverse for backward - logging.info(f"\tAssign Operation {operation.operation_id} of Job {job.job_id}") - chosen_resource, chosen_timeslot_hour = self.find_best_resource_and_timeslot_for_operation( - operation, op_latest_end, op_earliest_start - ) - - if chosen_resource and chosen_timeslot_hour: - logging.info( - f"\tOperation {operation.operation_id} assigned in: resource" - f" {chosen_resource.resource_id}, {min(chosen_timeslot_hour)} -" - f" {max(chosen_timeslot_hour)}" - ) - - # assign - operation.assigned_resource = chosen_resource - operation.assigned_hours = chosen_timeslot_hour - chosen_resource.assigned_operations.append(operation) - chosen_resource.assigned_hours += chosen_timeslot_hour - - # op_earliest_start = chosen_timeslot_hour[-1] + 1 - op_latest_end = chosen_timeslot_hour[0] - 1 - return - - def find_best_resource_and_timeslot_for_operation( - self, operation: Operation, op_latest_end=None, op_earliest_start=None, **kwargs - ): - available_resource = operation.available_resource - - latest_index = float("inf") - resource_latest_time = 0 - for i, resource in enumerate(available_resource): - resource_time = resource.get_latest_available_time(duration=operation.processing_time, end=op_latest_end) - - if resource_time > resource_latest_time: - latest_index = i - resource_latest_time = resource_time - - # print(operation.operation_id, operation.processing_time, op_latest_end, resource_latest_time) - chosen_resource = available_resource[latest_index] - latest_time = int(min(op_latest_end, resource_latest_time)) - chosen_hours = list(range(latest_time - math.ceil(operation.processing_time), latest_time + 1)) - - return chosen_resource, chosen_hours - - def assign_operation(self, operation: Operation, start_time, end_time, resources): - timeslot = TimeSlot(start_time, end_time) - self.timeslots.append(timeslot) - for resource in resources: - # Add timeslot to resource's schedule - resource.schedule.append(timeslot) - # Link operation to scheduled timeslot - operation.scheduled_timeslot = timeslot - - def select_resources(self, job: Job, operation: Operation): - available_slots = self.find_available_timeslots(job, operation) - - selected_resources = [] - for slot in available_slots: - resources = slot.available_resources() - resource = self.optimize_resource_selection(resources, operation) - selected_resources.append((slot, resource)) - return selected_resources - - def find_available_timeslots(self, job, operation): - # Search timeslots and filter based on: - # - operation duration - # - predecessor timeslots - # - resource requirements - - slots = [] - # for ts in job.schedule.timeslots: - # if ts.end - ts.start >= operation.duration: - # if all(pred in job.predecessors(ts)): - # if ts.meets_resource_needs(operation): - # slots.append(ts) - return slots - - def optimize_resource_selection(self, resources, operation): - # Score and prioritize resources based on: - # - Capacity - # - Changeover time - # - Utilization - - scored = [] - for resource in resources: - score = 0 - if resource.capacity >= operation.required_capacity: - score += 1 - if resource.type in operation.preferred_resources: - score += 1 - # Prioritize resources with less adjacent timeslots - score -= len(resource.adjacent_timeslots(operation)) - scored.append((score, resource)) - best = max(scored, key=lambda x: x[0]) - return best[1] - - -class Backward(object): - def __init__(self): - pass - - def run(self): - pass diff --git a/lekin/solver/construction_heuristics/epst.py b/lekin/solver/construction_heuristics/epst.py index 94e1cf5..926a109 100644 --- a/lekin/solver/construction_heuristics/epst.py +++ b/lekin/solver/construction_heuristics/epst.py @@ -3,28 +3,107 @@ 正排""" import logging +import math from lekin.solver.construction_heuristics.base import BaseScheduler -class EPSTScheduler: - def __init__(self, jobs, routes): - self.jobs = jobs - self.routes = routes +class EPSTScheduler(BaseScheduler): + def __init__(self, job_collector, resource_collector, route_collector=None, **kwargs): + super().__init__(job_collector, resource_collector, **kwargs) + self.job_collector = job_collector + self.resource_collector = resource_collector + self.route_collector = route_collector - def calculate_earliest_start_time(self, operation): - # Calculate the earliest start time for an operation based on its dependencies - if not operation.predecessors: - return max(operation.available_time, 0) - else: - return max(op.end_time for op in operation.predecessors) - - def schedule_job(self, job): - # Schedule the operations of a job using EPST method - for operation in job.route.operations: - operation.start_time = self.calculate_earliest_start_time(operation) - operation.end_time = operation.start_time + operation.processing_time + for key, value in kwargs.items(): + setattr(self, key, value) def run(self): - for job in self.jobs: - self.schedule_job(job) + for i, job in enumerate(self.job_collector.job_list): + self.scheduling_job(job, self.resource_collector, self.route_collector) + logging.info("First Scheduling Done") + + for i, job in enumerate(self.job_collector.job_list): + self.rescheduling_job_to_resolve_conflict(job) + logging.info("ReScheduling Done") + return + + def scheduling_job(self, job, resource_collector, route_collector): + logging.info(f"\nAssign Job {job.job_id}") + + if route_collector is not None: + route_id = job.assigned_route_id + route = None + for r in route_collector: + if r.route_id == route_id: + route = r + break + if not route: + print(f"Route with ID '{job.assigned_route_id}' not found for Job ID '{job.job_id}'. Skipping job.") + + job.operations = route.operations_sequence + + op_earliest_start = 0 + for operation in job.operations: + logging.info(f"\tAssign Operation {operation.operation_id} of Job {job.job_id}") + chosen_resource, chosen_timeslot_hour = self.find_best_resource_and_timeslot_for_operation( + operation, op_earliest_start + ) + + if chosen_resource and chosen_timeslot_hour: + logging.info( + f"\tOperation {operation.operation_id} assigned in: resource" + f" {chosen_resource.resource_id}, {min(chosen_timeslot_hour)} -" + f" {max(chosen_timeslot_hour)}" + ) + + # assign + operation.assigned_resource = chosen_resource + operation.assigned_hours = chosen_timeslot_hour + chosen_resource.assigned_operations.append(operation) + chosen_resource.assigned_hours += chosen_timeslot_hour + + op_earliest_start = chosen_timeslot_hour[-1] + 1 + return + + def find_best_resource_and_timeslot_for_operation(self, operation, op_earliest_start, **kwargs): + available_resource = operation.available_resource + + earliest_index = 0 + resource_earliest_time = float("inf") + for i, resource in enumerate(available_resource): + resource_time = resource.get_earliest_available_time(duration=operation.processing_time) + + if resource_time < resource_earliest_time: + earliest_index = i + resource_earliest_time = resource_time + + chosen_resource = available_resource[earliest_index] + earliest_time = int(max(op_earliest_start, resource_earliest_time)) + chosen_hours = list(range(earliest_time, earliest_time + math.ceil(operation.processing_time))) + return chosen_resource, chosen_hours + + def rescheduling_job_to_resolve_conflict(self, job): + op_earliest_start = 0 + for operation in job.operations: + logging.info(f"Rescheduling {job.job_id}/ {operation.operation_id}") + assigned_resource = operation.assigned_resource + if operation.assigned_hours[0] < op_earliest_start: + delta = op_earliest_start - operation.assigned_hours[0] + operation.assigned_hours = [i + delta for i in operation.assigned_hours] + + pivot_assigned_hours = operation.assigned_hours + op_earliest_start = pivot_assigned_hours[-1] + 1 + + ops_in_same_resource = assigned_resource.assigned_operations + ops_in_same_resource.sort(key=lambda x: x.assigned_hours[0], reverse=False) + logging.info([i.parent_job_id for i in ops_in_same_resource]) + for op in ops_in_same_resource: + if op != operation: + op_start = op.assigned_hours[0] + if set(pivot_assigned_hours).intersection(set(op.assigned_hours)): + logging.info( + f"\tRescheduling {job.job_id}/ {op.operation_id} in {assigned_resource.resource_id}" + ) + op.assigned_hours = [i + pivot_assigned_hours[-1] - op_start + 1 for i in op.assigned_hours] + return diff --git a/lekin/solver/construction_heuristics/forward.py b/lekin/solver/construction_heuristics/forward.py deleted file mode 100644 index aa66e53..0000000 --- a/lekin/solver/construction_heuristics/forward.py +++ /dev/null @@ -1,114 +0,0 @@ -"""forward scheduling""" - -import logging -import math - -from lekin.lekin_struct import JobCollector, ResourceCollector, RouteCollector -from lekin.solver.construction_heuristics.base import BaseScheduler - - -class ForwardScheduler(BaseScheduler): - def __init__( - self, - job_collector: JobCollector, - resource_collector: ResourceCollector, - route_collector: RouteCollector = None, - **kwargs, - ): - super().__init__(job_collector, resource_collector, **kwargs) - self.job_collector = job_collector - self.resource_collector = resource_collector - self.route_collector = route_collector - - for key, value in kwargs.items(): - setattr(self, key, value) - - def run(self): - for i, job in enumerate(self.job_collector.job_list): - self.scheduling_job(job, self.resource_collector, self.route_collector) - logging.info("First Scheduling Done") - - for i, job in enumerate(self.job_collector.job_list): - self.rescheduling_job_to_resolve_conflict(job) - logging.info("ReScheduling Done") - return - - def scheduling_job(self, job, resource_collector, route_collector): - logging.info(f"\nAssign Job {job.job_id}") - - if route_collector is not None: - route_id = job.assigned_route_id - route = None - for r in route_collector: - if r.route_id == route_id: - route = r - break - if not route: - print(f"Route with ID '{job.assigned_route_id}' not found for Job ID '{job.job_id}'. Skipping job.") - - job.operations = route.operations_sequence - - op_earliest_start = 0 - for operation in job.operations: - logging.info(f"\tAssign Operation {operation.operation_id} of Job {job.job_id}") - chosen_resource, chosen_timeslot_hour = self.find_best_resource_and_timeslot_for_operation( - operation, op_earliest_start - ) - - if chosen_resource and chosen_timeslot_hour: - logging.info( - f"\tOperation {operation.operation_id} assigned in: resource" - f" {chosen_resource.resource_id}, {min(chosen_timeslot_hour)} -" - f" {max(chosen_timeslot_hour)}" - ) - - # assign - operation.assigned_resource = chosen_resource - operation.assigned_hours = chosen_timeslot_hour - chosen_resource.assigned_operations.append(operation) - chosen_resource.assigned_hours += chosen_timeslot_hour - - op_earliest_start = chosen_timeslot_hour[-1] + 1 - return - - def find_best_resource_and_timeslot_for_operation(self, operation, op_earliest_start, **kwargs): - available_resource = operation.available_resource - - earliest_index = 0 - resource_earliest_time = float("inf") - for i, resource in enumerate(available_resource): - resource_time = resource.get_earliest_available_time(duration=operation.processing_time) - - if resource_time < resource_earliest_time: - earliest_index = i - resource_earliest_time = resource_time - - chosen_resource = available_resource[earliest_index] - earliest_time = int(max(op_earliest_start, resource_earliest_time)) - chosen_hours = list(range(earliest_time, earliest_time + math.ceil(operation.processing_time))) - return chosen_resource, chosen_hours - - def rescheduling_job_to_resolve_conflict(self, job): - op_earliest_start = 0 - for operation in job.operations: - logging.info(f"Rescheduling {job.job_id}/ {operation.operation_id}") - assigned_resource = operation.assigned_resource - if operation.assigned_hours[0] < op_earliest_start: - delta = op_earliest_start - operation.assigned_hours[0] - operation.assigned_hours = [i + delta for i in operation.assigned_hours] - - pivot_assigned_hours = operation.assigned_hours - op_earliest_start = pivot_assigned_hours[-1] + 1 - - ops_in_same_resource = assigned_resource.assigned_operations - ops_in_same_resource.sort(key=lambda x: x.assigned_hours[0], reverse=False) - logging.info([i.parent_job_id for i in ops_in_same_resource]) - for op in ops_in_same_resource: - if op != operation: - op_start = op.assigned_hours[0] - if set(pivot_assigned_hours).intersection(set(op.assigned_hours)): - logging.info( - f"\tRescheduling {job.job_id}/ {op.operation_id} in {assigned_resource.resource_id}" - ) - op.assigned_hours = [i + pivot_assigned_hours[-1] - op_start + 1 for i in op.assigned_hours] - return diff --git a/lekin/solver/construction_heuristics/lpst.py b/lekin/solver/construction_heuristics/lpst.py index dda6c35..c43dd97 100644 --- a/lekin/solver/construction_heuristics/lpst.py +++ b/lekin/solver/construction_heuristics/lpst.py @@ -3,40 +3,144 @@ 倒排""" import logging -from typing import Any, Callable, Dict, List, Optional, Tuple, Union +import math +from lekin.lekin_struct.job import Job, JobCollector +from lekin.lekin_struct.operation import Operation +from lekin.lekin_struct.resource import ResourceCollector +from lekin.lekin_struct.route import RouteCollector +from lekin.lekin_struct.timeslot import TimeSlot from lekin.solver.construction_heuristics.base import BaseScheduler class LPSTScheduler(object): - def __init__(self, job_collector, resource_collector, **kwargs): + def __init__( + self, + job_collector: JobCollector, + resource_collector: ResourceCollector, + route_collector: RouteCollector = None, + **kwargs, + ) -> None: self.job_collector = job_collector self.resource_collector = resource_collector + self.route_collector = route_collector for key, value in kwargs.items(): setattr(self, key, value) - def run(self, job_list): - for i, job in enumerate(job_list): - self.schedule_job(job) - - def calculate_lpst(self, operation): - # Calculate the latest possible start time for an operation - lpst = operation.due_date - operation.processing_time - for successor in operation.successors: - lpst = min(lpst, successor.lpst - successor.processing_time) - return lpst - - def schedule_job(self, job): - # Schedule the operations of a job based on LPST - operations_sequence = job.route.operations_sequence[::-1] - latest_end_time = job.demand_date - print(latest_end_time) - - for operation in operations_sequence: - operation.lpst = self.calculate_lpst(operation) - operation.start_time = operation.lpst - operation.end_time = operation.lpst + operation.processing_time - - def rescheduling_job(self, job): + def run(self) -> None: + for i, job in enumerate(self.job_collector.job_list): + self.scheduling_job(job, self.resource_collector, self.route_collector) + logging.info("First Scheduling Done") return + + def scheduling_job(self, job: Job, resource_collector, route_collector: RouteCollector) -> None: + logging.info(f"\nAssign Job {job.job_id}") + + if route_collector is not None: + route_id = job.assigned_route_id + route = None + for r in route_collector: + if r.route_id == route_id: + route = r + break + if not route: + print(f"Route with ID '{job.assigned_route_id}' not found for Job ID '{job.job_id}'. Skipping job.") + + job.operations = route.operations_sequence + + op_earliest_start = 0 # forward constraint + op_latest_end = 150 # backward constraint + for operation in job.operations[::-1]: # inverse + logging.info(f"\tAssign Operation {operation.operation_id} of Job {job.job_id}") + chosen_resource, chosen_timeslot_hour = self.find_best_resource_and_timeslot_for_operation( + operation, op_latest_end, op_earliest_start + ) + + if chosen_resource and chosen_timeslot_hour: + logging.info( + f"\tOperation {operation.operation_id} assigned in: resource" + f" {chosen_resource.resource_id}, {min(chosen_timeslot_hour)} -" + f" {max(chosen_timeslot_hour)}" + ) + + # assign + operation.assigned_resource = chosen_resource + operation.assigned_hours = chosen_timeslot_hour + chosen_resource.assigned_operations.append(operation) + chosen_resource.assigned_hours += chosen_timeslot_hour + + # op_earliest_start = chosen_timeslot_hour[-1] + 1 + op_latest_end = chosen_timeslot_hour[0] - 1 + return + + def find_best_resource_and_timeslot_for_operation( + self, operation: Operation, op_latest_end=None, op_earliest_start=None, **kwargs + ): + available_resource = operation.available_resource + + latest_index = float("inf") + resource_latest_time = 0 + for i, resource in enumerate(available_resource): + resource_time = resource.get_latest_available_time(duration=operation.processing_time, end=op_latest_end) + + if resource_time > resource_latest_time: + latest_index = i + resource_latest_time = resource_time + + chosen_resource = available_resource[latest_index] + latest_time = int(min(op_latest_end, resource_latest_time)) + chosen_hours = list(range(latest_time - math.ceil(operation.processing_time), latest_time + 0)) + return chosen_resource, chosen_hours + + def assign_operation(self, operation: Operation, start_time, end_time, resources): + timeslot = TimeSlot(start_time, end_time) + self.timeslots.append(timeslot) + for resource in resources: + # Add timeslot to resource's schedule + resource.schedule.append(timeslot) + # Link operation to scheduled timeslot + operation.scheduled_timeslot = timeslot + + def select_resources(self, job: Job, operation: Operation): + available_slots = self.find_available_timeslots(job, operation) + + selected_resources = [] + for slot in available_slots: + resources = slot.available_resources() + resource = self.optimize_resource_selection(resources, operation) + selected_resources.append((slot, resource)) + return selected_resources + + def find_available_timeslots(self, job, operation): + # Search timeslots and filter based on: + # - operation duration + # - predecessor timeslots + # - resource requirements + + slots = [] + # for ts in job.schedule.timeslots: + # if ts.end - ts.start >= operation.duration: + # if all(pred in job.predecessors(ts)): + # if ts.meets_resource_needs(operation): + # slots.append(ts) + return slots + + def optimize_resource_selection(self, resources, operation): + # Score and prioritize resources based on: + # - Capacity + # - Changeover time + # - Utilization + + scored = [] + for resource in resources: + score = 0 + if resource.capacity >= operation.required_capacity: + score += 1 + if resource.type in operation.preferred_resources: + score += 1 + # Prioritize resources with less adjacent timeslots + score -= len(resource.adjacent_timeslots(operation)) + scored.append((score, resource)) + best = max(scored, key=lambda x: x[0]) + return best[1]