 <h1>Congratulations! 🎉 </h1>
    <p style="color:#637381;">All done! You’ve completed another milestone.</p>

To continue, enter your details to log in.

We’ve sent a 6‑digit code to #MAIL_ADDRESS#\nPlease check your inbox or spam folder and enter the code below to continue.

Verification code sent

Thank you for the payment. You can now access {collectionName} by simply clicking the button below.

Yes, you’ve successfully ordered! 🎉

Unlock This Exclusive Course

It seems that your email address is not currently on the authorized access list. Please ensure you are using the email address that was invited, or contact the content owner for assistance.

Verification Required for Access

Course Overview and Foundations of Wait Time

Course Orientation and End-to-End View of Wait Time in Multi-Work-Center Operations

Precise Definitions and Taxonomy: Wait Time vs. Related Time Elements

Measuring and Visualizing Wait Time Across Work Centers

Time Study Methods and Data Capture for Wait Time

Value Stream Mapping and Spaghetti Diagrams Focused on Post-Operation Wait

Basic Analytics and Statistics for Wait Time Patterns

Diagnosing Causes and System Interactions

Flow, Variability, Capacity, and WIP: How They Drive Wait Time After Completion

Multi-Work-Center Dynamics and Hand-offs

Reducing Wait Time: Policies, Scheduling, and Lean/TOC Integration

Policy and Scheduling Levers to Reduce Post-Operation Wait

Lean and Theory of Constraints Tactics for Sustained Wait-Time Reduction

Designing End-to-End Flow with Explicit Wait-Time Targets

Quizzes

Quiz 1: Definitions and Boundaries of Wait Time

Quiz 2: Time Elements Taxonomy and Misclassification

Quiz 3: Data Capture and Timestamp Integrity

Quiz 4: Visual Mapping of Post-Operation Wait

Quiz 5: Statistical Views and Baselines

Quiz 6: Flow and Variability Interactions

Quiz 7: Multi-Work-Center Hand-offs

Quiz 8: Policy and Scheduling Levers

Quiz 9: Lean and TOC Integration

Quiz 10: Governance and Target Setting

End-to-End Wait Time Mastery for Multi-Work-Center Operations is a practical, data-driven course designed for supply chain, manufacturing, and operations leaders who want to compress lead time, boost throughput, and improve service levels without costly capital projects. While most teams track move and queue time, few explicitly define and manage the post-operation wait that accumulates between linked work centers. This course gives you the precise taxonomy, measurement methods, analytics, and policy levers needed to find and eliminate hidden dwell time after an operation is complete—often the most neglected component of total lead time. You will learn how to capture accurate timestamps from MES/ERP and sensors, visualize hotspots using value stream maps and spaghetti diagrams, and diagnose interactions among flow, variability, WIP, and capacity constraints. Then, you’ll apply scheduling rules, transfer-batch optimization, lean practices, and TOC principles to sustainably reduce wait time across the entire routing. By the end, you will set explicit wait-time targets at each work center, align buffers and governance, and implement dashboards and alerts that keep improvements locked in. If your organization is serious about on-time delivery, lower WIP, and faster cash-to-cash cycles, this course provides the end-to-end blueprint.

End-to-End Wait Time Mastery for Multi-Work-Center Operations

<div class="simple-box-wrapper">
    <div class="simple-box">
        <div class="column">
            <p>In complex, multi-work-center environments, the interval after an operation is completed—before a job is physically transferred to its next operation—often hides in plain sight. This course focuses on mastering that interval: wait time. You will learn to define wait time precisely, distinguish it from move, queue, setup, run, and idle time, and map exactly where it accumulates across linked work centers. By making post-operation wait an explicit element of the routing and of lead-time decomposition, you will gain the insight necessary to reduce end-to-end lead time, stabilize flow, and improve service performance without compromising cost or throughput.</p>

<p>The curriculum combines rigorous definitions with practical tools. You will establish operational boundaries for when wait time starts and ends, recognize common misclassifications where wait is embedded within move time, and understand the implications for product costing, KPI design, and governance. You will measure and visualize wait using direct observation, timestamp logging, MES/ERP events, and sensor data, while addressing data integrity issues such as clock skew and partial moves. Value stream maps and spaghetti diagrams will be adapted to explicitly annotate post-operation wait, revealing hotspots where completed jobs linger and how these delays drive WIP accumulation and lead-time ladders.</p>

<p>Analytics will be used to quantify patterns through histograms, percentiles, control charts, and cycle-time decomposition dashboards that isolate wait, queue, move, setup, and run. You will diagnose systemic causes by linking flow, variability, capacity, and WIP via Little’s Law intuition, separating post-operation wait from pre-operation queues. Multi-work-center dynamics—including transfer batch policies, layout and distance, material handling availability, information latency, and special cases such as shared resources and rework—will be examined to uncover leverage points.</p>

<p>Action-oriented modules translate diagnosis into results. You will deploy policy and scheduling levers such as CONWIP, FIFO within WIP caps, and explicit move triggers; optimize transfer batch sizing distinct from process batch sizing; and increase responsiveness through cross-training, flexible staffing, and targeted material handling availability windows. Lean and Theory of Constraints methods—constraint elevation, level loading and heijunka, setup reduction, 5S, visual controls, and point-of-use staging—will be integrated to sustain reductions in wait time. Finally, you will design end-to-end flow with explicit wait-time targets at each work center, align capacity and WIP policies, model the impact of choices on lead time, and establish governance with dashboards, alerts, and tiered responses. Quizzes throughout reinforce definitions, measurement rigor, visualization, analytics, system interactions, and control, ensuring you can apply these practices immediately in your operations.</p>
        </div>
    </div>
</div>
