Agile Kanban คือ — ระบบจัดการงานแบบ Visual Flow

Agile Kanban

Agile Kanban Visual Management Board WIP Limit Continuous Flow Pull System Lead Time Cycle Time Throughput Toyota Production System Support Operations

Board Design

# === Kanban Board Implementation ===





from dataclasses import dataclass, field


from datetime import datetime, timedelta


import random





@dataclass


class KanbanCard:


    card_id: str


    title: str


    priority: str


    assignee: str


    created_at: datetime


    started_at: datetime = None


    completed_at: datetime = None


    blocked: bool = False


    tags: list = field(default_factory=list)





@dataclass


class KanbanColumn:


    name: str


    wip_limit: int


    cards: list = field(default_factory=list)





    @property


    def count(self):


        return len(self.cards)





    @property


    def is_over_wip(self):


        return self.count > self.wip_limit if self.wip_limit > 0 else False





class KanbanBoard:


    def __init__(self, name):


        self.name = name


        self.columns = [


            KanbanColumn("Backlog", 0),


            KanbanColumn("To Do", 5),


            KanbanColumn("In Progress", 3),


            KanbanColumn("Review", 2),


            KanbanColumn("Done", 0),


        ]





    def display(self):


        print(f"=== {self.name} ===")


        for col in self.columns:


            wip = f"WIP: {col.count}/{col.wip_limit}" if col.wip_limit > 0 else f"Count: {col.count}"


            status = " [OVER WIP!]" if col.is_over_wip else ""


            print(f"\n  [{col.name}] {wip}{status}")


            for card in col.cards[:3]:


                blocked = " [BLOCKED]" if card.blocked else ""


                print(f"    - [{card.priority}] {card.title} (@{card.assignee}){blocked}")


            if len(col.cards) > 3:


                print(f"    ... +{len(col.cards)-3} more")





# Create board


board = KanbanBoard("DevOps Team Board")


now = datetime.now()





# Add sample cards


board.columns[0].cards = [


    KanbanCard("K-10", "Upgrade K8s cluster", "High", "Som", now - timedelta(days=5)),


    KanbanCard("K-11", "Setup monitoring alerts", "Medium", "Unassigned", now - timedelta(days=3)),


    KanbanCard("K-12", "Document CI/CD pipeline", "Low", "Unassigned", now - timedelta(days=2)),


]


board.columns[1].cards = [


    KanbanCard("K-07", "Fix SSL certificate renewal", "High", "Nid", now - timedelta(days=7)),


    KanbanCard("K-08", "Optimize Docker images", "Medium", "Pom", now - timedelta(days=4)),


]


board.columns[2].cards = [


    KanbanCard("K-05", "Deploy Redis cluster", "High", "Som", now - timedelta(days=10), now - timedelta(days=3)),


    KanbanCard("K-06", "Configure backup automation", "Medium", "Nid", now - timedelta(days=8), now - timedelta(days=2), blocked=True),


]


board.columns[3].cards = [


    KanbanCard("K-04", "Update Nginx config", "Medium", "Pom", now - timedelta(days=12), now - timedelta(days=5)),


]





board.display()

Flow Metrics

# === Kanban Flow Metrics ===





@dataclass


class FlowMetric:


    week: str


    items_started: int


    items_completed: int


    avg_lead_time: float


    avg_cycle_time: float


    wip_avg: float


    blockers: int





metrics = [


    FlowMetric("Week 1", 8, 6, 5.2, 2.8, 4.5, 1),


    FlowMetric("Week 2", 7, 8, 4.8, 2.5, 3.8, 0),


    FlowMetric("Week 3", 9, 7, 5.5, 3.1, 5.2, 2),


    FlowMetric("Week 4", 6, 7, 4.2, 2.2, 3.2, 0),


    FlowMetric("Week 5", 8, 9, 3.8, 2.0, 3.0, 0),


    FlowMetric("Week 6", 7, 8, 3.5, 1.8, 2.8, 0),


]





print("\n=== Flow Metrics (6 Weeks) ===")


for m in metrics:


    print(f"  [{m.week}] Started: {m.items_started} | Done: {m.items_completed}")


    print(f"    Lead: {m.avg_lead_time}d | Cycle: {m.avg_cycle_time}d | WIP: {m.wip_avg} | Blockers: {m.blockers}")





# Summary


total_done = sum(m.items_completed for m in metrics)


avg_lead = sum(m.avg_lead_time for m in metrics) / len(metrics)


avg_cycle = sum(m.avg_cycle_time for m in metrics) / len(metrics)


throughput = total_done / len(metrics)





print(f"\n  Summary:")


print(f"    Total Completed: {total_done} items")


print(f"    Avg Throughput: {throughput:.1f} items/week")


print(f"    Avg Lead Time: {avg_lead:.1f} days")


print(f"    Avg Cycle Time: {avg_cycle:.1f} days")


print(f"    Trend: Lead Time ลดลง {metrics[0].avg_lead_time - metrics[-1].avg_lead_time:.1f} days (improving!)")





# Little's Law: WIP = Throughput × Cycle Time


littles_wip = throughput * avg_cycle / 7  # convert to weeks


print(f"    Little's Law WIP: {littles_wip:.1f} (optimal WIP)")

Continuous Improvement

# === Kanban Improvement Practices ===





@dataclass


class KanbanPractice:


    practice: str


    frequency: str


    participants: str


    output: str


    duration: str





practices = [


    KanbanPractice("Daily Standup", "Daily", "Team", "Blockers identified, Flow updated", "15 min"),


    KanbanPractice("Replenishment Meeting", "Weekly", "PO + Team Lead", "Backlog prioritized, To Do filled", "30 min"),


    KanbanPractice("Service Delivery Review", "Bi-weekly", "Team + Stakeholders", "Metrics reviewed, SLA checked", "45 min"),


    KanbanPractice("Retrospective", "Monthly", "Team", "Process improvements identified", "60 min"),


    KanbanPractice("Risk Review", "Weekly", "Team Lead", "Blockers and risks assessed", "15 min"),


    KanbanPractice("Board Design Review", "Quarterly", "Team", "Board columns WIP limits updated", "60 min"),


]





print("Kanban Cadences:")


for p in practices:


    print(f"  [{p.practice}] {p.frequency} | {p.duration}")


    print(f"    Who: {p.participants}")


    print(f"    Output: {p.output}")





improvements = {


    "Week 2": "ลด WIP Limit In Progress จาก 5 เป็น 3 → Cycle Time ลดลง",


    "Week 3": "เพิ่ม Column 'Waiting for Deploy' → เห็น Bottleneck ชัดขึ้น",


    "Week 4": "เพิ่ม Blocker Tag สีแดง → แก้ Blocker เร็วขึ้น",


    "Week 5": "ตั้ง SLA Lead Time < 5 days → ทีมมี Target ชัดเจน",


    "Week 6": "เพิ่ม Automation deploy → ลด Cycle Time อีก 0.5 วัน",


}





print(f"\n\nContinuous Improvement Log:")


for week, improvement in improvements.items():


    print(f"  [{week}]: {improvement}")

เคล็ดลับ

• WIP: เริ่ม WIP = จำนวนคน แล้วค่อยลด ดู Flow ดีขึ้นหรือไม่
• Visual: ใช้ Board จริง (Physical/Digital) ให้ทุกคนเห็น
• Metrics: วัด Lead Time Cycle Time Throughput ทุกสัปดาห์
• Blocker: จัดการ Blocker ทันที อย่าปล่อยค้าง
• Kaizen: ปรับปรุงกระบวนการทุกเดือน เล็กๆ สม่ำเสมอ

การนำความรู้ไปประยุกต์ใช้งานจริง

แหล่งเรียนรู้ที่แนะนำ ได้แก่ Official Documentation ที่อัพเดทล่าสุดเสมอ Online Course จาก Coursera Udemy edX ช่อง YouTube คุณภาพทั้งไทยและอังกฤษ และ Community อย่าง Discord Reddit Stack Overflow ที่ช่วยแลกเปลี่ยนประสบการณ์กับนักพัฒนาทั่วโลก

เนื้อหาเกี่ยวข้อง — Crossplane Composition Compliance Automation

สรุป

Agile Kanban Visual Board WIP Limit Continuous Flow Lead Time Cycle Time Throughput Pull System Continuous Improvement Kaizen Production Team Management