Kitting And Point-Of-Use Yard Logistics

The following discussion illustrates a project that is well suited to the capabilities of an independent consultant in the Umbrex Shipbuilding & marine systems Practice. This is an illustrative example. Umbrex consultants adapt their methodology, timeline, and deliverables to the specific needs of each client.

1) Client Situation

The client operated a complex naval shipyard with parallel new-construction and modernization programs under tight delivery milestones and Earned Value Management (EVMS) oversight. The yard relied on block construction and zone outfitting; however, material flow from central warehouses and laydown areas to hull blocks and outfitting zones was fragmented. The client engaged us to design kitting by block and zone, optimize warehouse slotting and tugger routes, and stage materials point-of-use to cut travel time and increase trades productivity within the Supply Chain function. Pain points spanned operational, technical, commercial, and compliance dimensions:

• Material availability at point-of-use: First-time material availability (FTMA) at the workface lagged plan, with trades frequently queuing for missing components. On-time kit delivery (OTKD) to blocks and zones underperformed weekly schedule needs, driving unproductive travel and rework.
• Kit accuracy and completeness: Kitting was ad hoc by work order rather than by block/zone sequence. Kit accuracy and completeness were below target for both installed parts and consumables, leading to out-of-sequence work and schedule variance on critical path tasks.
• Warehouse slotting and congestion: Storage density and slotting logic did not reflect demand velocity or cube-per-order index (COI). High-velocity items and heavy/long materials (pipe spools, cable reels, structural shapes) were placed far from staging lanes, increasing pick times and internal transport distances.
• Tugger routes and transport reliability: Forklifts and tuggers ran unbalanced “as-needed” loops. There was no stabilized milk-run network aligned to takt for the panel line, unit assembly, and block outfitting areas. Spaghetti diagrams showed excessive crisscrossing and unsafe interactions with pedestrian zones.
• Digital thread breaks: ERP/MRP data (SAP/IFS) did not consistently reconcile with PLM/MES (ShipConstructor/Aveva Marine, DELMIA Apriso) for MBOM/EBOM mapping. Work package BOMs were not consolidated into PFEP (Plan for Every Part) views by block and zone, impeding kit design, serialization, and lot-traceability for controlled parts.
• Point-of-use staging and 5S: POU racks, shadow boards, and mobile carts were inconsistent across trades. Yard teams staged material in ad hoc laydown areas, exposing parts to damage, FOD, weather, and misplacement. Visual controls and kanban signaling for replenishment were limited.
• Compliance and traceability: UID/IUID and MIL-STD-129/130 labeling were inconsistently captured at pick and delivery. Hazardous materials (epoxies, solvents, coatings) lacked standardized handling kits and segregated staging, complicating HAZMAT compliance and hot work permitting.
• Supplier packaging and inbound readiness: Vendor packaging frequently did not meet shipyard handling requirements, with oversized pallets and non-stackable crates. The lack of pre-kitting at source and inconsistent barcode formats introduced relabeling and quality holds on inbound.
• Labor utilization and safety: Trades reported significant time spent walking back to tool rooms and central stores. Material handling injuries and near-misses were concentrated in congested corridors near block assembly bays, linked to forklift density and unclear tugger right-of-way.
• Performance management: KPIs relevant to kitting and yard logistics—FTMA, OTKD, pick accuracy, dock-to-stock time, inventory accuracy, tugger on-time performance, POU replenishment lead time, and trade labor productivity—were tracked inconsistently across systems and lacked a single-source dashboard.

These issues manifested in schedule risk at unit assembly and block erection, elevated internal logistics cost per ton, and reduced trades productivity at the workface. The client tasked us to architect a shipyard-ready kitting and POU logistics solution integrated with ERP/MES/PLM, designed to stabilize flow to block and zone, and to institutionalize milk-run tugger operations that reduced travel and improved safety.

2) Project Objective

Primary objective: We designed and implemented an integrated kitting-by-block-and-zone and point-of-use yard logistics model—anchored in PFEP, optimized warehouse slotting, and standardized tugger milk-runs—to reduce material travel time and increase trades productivity while maintaining defense-grade traceability and safety compliance.

• Secondary objectives:
• Establish a PFEP for all installed parts and consumables aligned to block/zone work packages and takt windows.
• Reconfigure warehouse slotting and laydown to velocity, COI, weight/handling class, and family grouping constraints to improve pick performance and dock-to-stage time.
• Engineer tugger routes, frequencies, and right-sized conveyance to stabilize POU replenishment, minimize forklift traffic, and improve safety in shared workspaces.
• Standardize kit types (static, batch, sequenced, progressive) and kit identity management (IUID/MIL-STD) to enable full traceability through ERP/MES and quality hold processes.
• Deploy 5S, visual management, and kanban at POU, with modular carts/racks and weather-protected staging to protect quality and enable rapid set-ups.
• Integrate WMS/MES/PLM/ERP data to create a single source of truth for BOM-to-kit alignment, pick instructions, and delivery confirmation with RTLS/barcoding.
• Build a governance model, SOPs, training, and KPI dashboards that institutionalized continuous improvement and compliance for yard logistics.

3) Methodology and Approach

Workstream 1: Current-State Diagnostics and Flow Analysis

We conducted a rigorous baseline assessment to quantify loss and inform design decisions:

• Mapped end-to-end material flow from receiving through warehouse, kitting, staging, tugger transport, and POU handoff for representative hull blocks and zones. We used value stream mapping (VSM) and spaghetti diagrams to capture travel distances, waits, and rehandling.
• Performed time-and-motion studies for pick, kit-build, load/unload, and POU drop to characterize cycle times, batch sizes, and variability. We segmented by product family (pipe spools, cable reels, structural steel, HVAC, joiner, C-class small parts, consumables) and by work center.
• Assessed safety and regulatory practices in laydown and staging areas, including forklift-tugger interactions, pedestrian pathways, and HAZMAT segregation. We partnered with HSE and yard operations to document known risk hotspots.
• Benchmarked KPIs (FTMA, OTKD, pick accuracy, dock-to-stock, inventory accuracy, kit completeness, tugger on-time, trades walking time) against internal targets and external “good” references for shipbuilding logistics.
• Reviewed inbound packaging conformity to MIL-STD-129/130, vendor barcode formats, and ASN completeness. We analyzed inbound quality holds and their root causes.

Outcome enablement: This diagnostic created a quantified baseline of waste and informed a prioritized problem tree. It highlighted leverage points for travel-time reduction and productivity uplift, establishing the case for PFEP-driven kitting and stabilized milk-runs.

Workstream 2: Data Architecture and Digital Thread Alignment

We addressed core data issues that impeded kitting-by-block-and-zone:

• Reconciled EBOM-to-MBOM structures between PLM (ShipConstructor/Aveva Marine) and ERP/MES (SAP/IFS/Apriso). We created a mapping layer from work packages to block/zone kits, including alternates and engineering change control.
• Built a PFEP data model capturing item master attributes (dimensions, weight, hazard class, handling method, storage constraints), demand velocity by block/zone/takt week, packaging UOM, supplier lead time, and replenishment policy.
• Defined serialization, lot, and UID/IUID traceability requirements by part category. We tagged controlled parts that required chain-of-custody and quality hold workflows.
• Defined WMS-MES integration logic for pick lists, kit build confirmations, load manifests, yard routing, and POU receipt/put-away. We standardized barcode formats, label placement, and scanning points to minimize data errors.
• Developed a unified data lake view for KPIs and route telemetry. We piloted RTLS (UWB/RFID) tags on tuggers and kit carts to collect travel and stop time data, enabling route optimization analytics.

Outcome enablement: The data backbone allowed PFEP and slotting algorithms to run on accurate demand and handling constraints, and created the foundation for traceability and performance management at kit, route, and zone levels.

Workstream 3: PFEP and Kit Design by Block and Zone

We engineered the kitting strategy to match shipbuilding realities and trade workflows:

• Segmented kit types: static kits for repetitive consumables, batch kits for repetitive subassemblies, sequenced kits for line-side assembly steps, and progressive kits for zone outfitting across multiple takt windows.
• Defined kit contents and presentation standards for each block/zone, aligning to work instructions and 3D model views. We included hardware, installation aids, and trade-specific consumables to minimize trips to tool rooms.
• Designed kit identity management: kit IDs encoded work package, block/zone, revision, and serialization requirements. We embedded label formats compliant with MIL-STD-129/130 and set scanning checkpoints at build, load, and POU drop.
• Specified kit containers, carts, and protection: modular carts for small parts, A-frame cradles for large panels, reel stands for cable, pipe cradles with sling points, and weather covers for yard transit and outdoor staging.
• Modeled kit build labor and space requirements. We used SMED concepts to reduce kit changeover and implement standardized work for kitting cells. We established quality checklists to verify completeness and condition before release.
• Instituted reverse kitting and de-kitting processes for unused items, including quarantine, inspection, and rapid return-to-stock with traceability preserved.

Outcome enablement: The PFEP-driven kit design aligned material presentation to how trades worked by block and zone, reducing searching and motion at the workface and strengthening compliance for controlled components.

Workstream 4: Warehouse Slotting and Layout Redesign

We reconfigured storage and picking environments to support kit velocity and safety:

• Executed an ABC/XYZ analysis across the PFEP to determine slotting priority and replenishment frequency. We computed cube-per-order index and handling class constraints to drive slot selection.
• Redesigned layout to place high-velocity, small-cube items near pick/pack lanes, created dedicated zones for heavy/long goods with overhead crane access, and separated HAZMAT with compliant containment.
• Implemented pick-to-light and voice-directed picking for small parts, and scanning-enabled pick lists for heavy goods. We standardized master data for pack quantities and UOM conversions to prevent partial-pick errors.
• Created supermarket zones for two-bin kanban of consumables aligned to block/zone demand. We established cross-docking lanes for kits timed to tugger departure cycles.
• Defined replenishment triggers and min/max levels informed by takt windows and supplier lead times. We integrated replenishment signals into WMS and visual boards.
• Embedded quality hold and inspection stations adjacent to receiving, reducing contamination of pick areas and enabling rapid disposition with quarantine barcodes.

Outcome enablement: Slotting and layout changes were designed to decrease pick travel and dwell, improve accuracy, and support safe material handling for atypical shipyard geometries and loads.

Workstream 5: Tugger Network Design and Route Optimization

We engineered a right-sized internal logistics network to stabilize POU delivery:

• Created a yard logistics map with zones, no-go areas (blast/paint, hot work), pedestrian corridors, and tugger staging points. We established standardized tugger right-of-way and visual lane markings.
• Designed milk-run routes synchronized to takt windows for panel line, unit assembly, block outfitting, and dry dock. We balanced load profiles, batch sizes, and time windows to minimize variability.
• Selected conveyance: tuggers with modular carts for kits and reels, limited-use forklifts for exception handling, and crane interfaces for oversized components. We defined load securement standards and weather protection.
• Modeled routes using simulation and historical telemetry, optimizing stop sequences, dwell times, and fleet size. We created route cards with standard work and contingency protocols for missed windows.
• Established yard consolidation hubs to pre-stage multiple kits per route, smoothing flow and reducing last-minute chases. We applied heijunka principles to level the tugger workload across shifts.
• Piloted RTLS tracking for tuggers and kit carts to create heat maps and on-time performance metrics. We integrated on-board scanning for pick-up/drop confirmation and exception logging.

Outcome enablement: The route redesign reduced crisscrossing and unsafe forklift densities, shortened travel, and stabilized deliveries to POU aligned with workface takt.

Workstream 6: Point-of-Use Staging, Visual Controls, and Kanban

We standardized POU environments to support efficient and safe workface operations:

• Configured POU racks, shadow boards, and small-parts carts tailored to each trade and zone footprint. We coordinated with production engineering to align kit presentation with work steps.
• Implemented 5S and visual management at POU: labeled zones, kit drop zones, replenishment bins, and quality quarantine areas. We deployed andon signals for urgent replenishment and defect escalation.
• Established two-bin kanban loops for high-velocity consumables and fasteners, with shelf labeling and barcode scanning to trigger replenishment via WMS.
• Designed outdoor staging with weatherproof enclosures, corrosion prevention, and clear lot segregation to protect parts awaiting install in exposed yard areas.
• Collaborated with HSE to bake in safety requirements: load limits, ergonomics for lifting, egress clearance, and segregation of hot work zones from flammables and solvents.

Outcome enablement: Standardized POU staging reduced searching and motion, improved safety and quality, and enabled predictable replenishment cycles from the tugger network.

Workstream 7: Technology Enablement and Systems Integration

We aligned technology to process, focusing on reliability and traceability:

• Configured WMS to manage kit BOMs, pick paths, containerization, serial/lot capture, and load manifests. We integrated WMS with MES so work packages could call for kits by block/zone and confirm consumption.
• Established barcode standards across yard operations and enabled handheld scanning throughout pick, kit-build, loading, transit, and POU delivery. We designed exception workflows for damaged/missing items.
• Piloted RTLS for tuggers and selected kit carts to measure adherence to route schedules and to identify bottleneck zones. We fed RTLS data into route optimization analytics.
• Built KPI dashboards with drill-downs by block/zone/kitting cell/route. We configured alerts for missed milk-run windows, low inventory at POU, and quality hold dwell.
• Validated cybersecurity and export control (DFARS/ITAR) guardrails for data flows, ensuring sensitive part attributes and location data were handled appropriately.

Outcome enablement: Technology supported lean flow, embedded traceability, and provided the visibility needed to manage performance without adding administrative burden.

Workstream 8: Change Management, Training, and Governance

We instituted the operating system to sustain the new kitting and yard logistics model:

• Defined roles and RACI across Supply Chain, Warehouse, Yard Logistics, PPC, Quality, HSE, Trades, and IT. We established a Yard Logistics Control Center for daily management.
• Developed SOPs and visual work instructions for kit-build, slotting maintenance, tugger operations, POU staging, and reverse kitting. We codified escalation paths for shortages and defects.
• Ran coaching sessions with tugger operators, pickers, and kitting cell leads. We embedded standard work, 5S audits, and layered process confirmation routines.
• Established governance with weekly tiered meetings, KPI reviews, and continuous improvement backlogs. We linked governance to EVMS and master schedule milestones.
• Launched a PFMEA for logistics to proactively manage failure modes (missed deliveries, mis-picks, damage, weather exposure) and defined mitigations.

Outcome enablement: Governance and capability-building anchored behavioral change, risk management, and continuous improvement aligned to shipyard cadence and compliance standards.

4) Data Request

To execute the project, we requested comprehensive datasets with defined horizons and granularity, recognizing common quality pitfalls in shipbuilding environments.

• Commercial and demand:
  • Master schedule by hull, block, zone, and work package; 18–24 month horizon, weekly buckets.
  • PPC line-of-balance and takt plans for unit assembly and outfitting; 13-week rolling detail.
  • Engineering release plan and ECN/ECO logs with effectivity at block/zone level.
• Operational and logistics:
  • Inbound receiving logs with ASN detail; 12–18 months; include packaging UOM, carrier, and QC disposition.
  • WMS pick, pack, and kit-build transactions; 12 months; time-stamped at line level with picker ID.
  • Route telemetry or dispatch logs for forklifts/tuggers/AGVs; 6–12 months; include stops and dwell times where available.
  • POU replenishment requests and shortages; 6–12 months; include zone, trade, and work order links.
• Financial and cost:
  • Internal logistics cost breakdown (labor, equipment, maintenance, fuel); 12 months; by cost center.
  • Handling and damage write-offs; 24 months; categorized by part family and stage.
  • Capex inventory (tuggers, carts, racks) and depreciation schedules.
• Technical/engineering:
  • EBOM/MBOM with part attributes (weight, dimensions, hazard class, serialization requirements); current and prior revisions.
  • 3D model views or 2D drawings linked to installation sequence by block/zone.
  • Tooling and lifting plans for heavy/long goods.
• Regulatory/ESG:
  • MIL-STD-129/130 compliance procedures, HAZMAT handling SOPs, hot work permit logs; 12 months.
  • Safety incident/near-miss reports in warehouse/yard corridors; 24 months.
  • Export control classifications for controlled parts; current list with handling constraints.
• People/governance:
  • Shift rosters for warehouse, kitting cells, tugger operators, and trades; current and planned.
  • Training matrices for WMS/MES/barcoding, forklift/tugger certifications.
  • Union rules or CBA provisions affecting job roles, breaks, and equipment operation.
• Systems:
  • ERP/MRP item master, supplier master, lead times, lot sizes; current snapshot and change logs.
  • WMS configuration (locations, slotting attributes, pick paths), MES routing/work instruction structures, PLM part/version control.
  • Data lake schemas for KPIs; access to BI tools and security policies.

Common pitfalls: inconsistent UOMs and pack quantities across ERP and WMS; missing serialization/lot fields for controlled parts; EBOM/MBOM mismatches at the zone level; unlabeled or free-text storage locations; partial ASN data; and lack of time stamps at pick/POU receipt, which complicate route performance analysis.

5) Questions for Client

• What degree of block/zone-level granularity is required for kit identity and traceability to satisfy NAVSEA, DFARS, and internal QA requirements?
• What is the acceptable service level for OTKD and FTMA at the workface, and how should trade productivity targets translate into tugger route frequencies?
• Which product families (pipe, cable, HVAC, joiner, structural, C-class) drive the majority of shortages and travel time, and which must be prioritized in early waves?
• How should we balance forklift utilization versus tugger milk-runs, given safety constraints and load profiles for oversized items?
• What constraints exist in the current yard layout (blast/paint, hot work, dry dock access) that dictate no-go zones or specific staging areas?
• What is the approved barcode/labeling standard across suppliers and internal processes, and where are exceptions permitted for IUID-controlled items?
• What capital envelope and timeline exist for carts, racks, RTLS, and WMS enhancements, and what integration change-freeze windows must we respect?
• How do union/CBA rules influence role definitions for kitting, tugger operation, and POU staging, and what cross-training is feasible?
• What risk tolerance exists for piloting progressive kits that span multiple takt windows versus keeping kits strictly within single work orders?
• Which KPIs should drive daily tiered management, and what thresholds trigger escalation to the Yard Logistics Control Center?
• How should we handle reverse logistics and de-kitting for unused parts to protect traceability and minimize reinspection lag?
• What environmental and HAZMAT constraints govern outdoor staging, weather protection standards, and segregation at POU?
• Which engineering change control gates could disrupt kit content stability, and how should we structure buffers or late-change protocols?
• Are there cybersecurity or export control restrictions on RTLS geolocation data that affect tracking granularity or data retention?
• What external milestones (sea trials, major lifts, superlifts) require tailored logistics plans and routings that override the standard milk-run cadence?

6) Interview Guide for Subject Matter Experts

Yard Logistics Manager

• Which routes currently experience chronic delays or conflicts with crane operations and hot work zones?
• How do you prioritize exceptions when multiple zones request urgent deliveries simultaneously?
• What are the most common causes of route noncompliance (missed stops, early departures, load rejections)?
• How do seasonal weather patterns affect yard transit and staging, and what mitigation is practical?
• What data do you rely on daily to dispatch resources, and where do you see blind spots or lags?
• Which safety rules are hardest to enforce in mixed forklift/tugger/pedestrian areas?

Warehouse and Kitting Supervisors

• Where do pick errors occur most frequently—item identification, UOM conversions, or location mismatches?
• Which items are most problematic to store and retrieve due to size, weight, or packaging form factor?
• How do you manage kit completion verification, and what typical defects cause rework?
• What is the practical limit on kit size/weight for manual handling and cart capacity?
• Which WMS functions are underutilized or misconfigured for kitting and cross-dock operations?
• How do you handle partial kits when one or two items are late—release with shortages or hold?

Production Planning and Control (PPC) / Master Scheduler

• How are takt windows defined for each block/zone, and how does variability propagate to materials?
• What are the current buffers for material readiness relative to work package start, and how often are they consumed?
• How do ECNs/ECOs affect MBOM stability at the zone level, and what cut-off rules exist?
• Which milestones or critical path tasks are most sensitive to material readiness?
• What is the preferred cadence for kit call-offs, and how should late changes be communicated to WMS/MES?
• Where do you see opportunities to level load kitting and tugger routes against the master schedule?

Trade Leads (Hull, Pipe, Electrical, HVAC/Joiner)

• Which materials are you most often missing at the start of a shift, and how do you work around shortages?
• How should kit presentation support the sequence of installation steps in your zone?
• What ergonomic or space constraints affect how carts and racks can be positioned at POU?
• Which consumables should always be available in two-bin kanban versus included in kits?
• What are the typical failure modes for delivered kits (wrong revision, damaged, not protected from weather)?
• How would you standardize visual controls to quickly signal replenish, defect, or quarantine?

Engineering/PLM and Quality

• How is MBOM derived from EBOM at the zone level, and where do mismatches commonly occur?
• What serialization and lot traceability is required for controlled parts, and how should kit IDs carry this forward?
• What inspection points are mandated for inbound and kit release, and how should quality holds be staged?
• Which drawing or 3D model views are most useful to drive kit content and labeling?
• How should deviations and concessions be captured to avoid reissue of incorrect parts?
• What are the quality documentation requirements at POU for install signoff?

IT/ERP/MES/WMS

• What is the current integration footprint among ERP, PLM, MES, and WMS for pick lists and work package consumption?
• Which master data attributes are missing or inconsistent for slotting and PFEP (dimensions, hazard class, UOM)?
• How does the system handle kit BOMs, revisions, and backflush versus staged consumption at POU?
• What scanning hardware and label standards are deployed, and where are read rates low?
• What analytics are available for route performance and pick productivity, and what is the latency?
• What change-freeze windows and cybersecurity constraints could affect rollout timing?

HSE/Compliance

• What specific requirements govern HAZMAT storage, transport, and POU staging in proximity to hot work?
• Where do you see recurring nonconformances related to material handling or staging?
• What ergonomic or lifting risks are most acute for kit handling, and what engineering controls are feasible?
• How should we design visual controls and lane markings to meet safety standards and reduce near-misses?
• What inspection cadence is required for carts, racks, and slings used in kit transport?
• What training is required for operators to maintain compliance with MIL-STD labeling and IUID scanning?

7) Timeline

We executed a 12-week plan structured into phases with clear outcomes and decision gates tailored to kitting and point-of-use yard logistics.

• Weeks 1–2: Discovery and Diagnostics
  • Conducted stakeholder interviews, floor walks, and safety reviews across warehouse, yard, and POU zones.
  • Collected and cleansed data sets; mapped EBOM/MBOM to work packages by block and zone.
  • Baseline VSMs, spaghetti diagrams, and KPI snapshots; prioritized families and zones for initial design.
  • Gate 1: Agreed scope of PFEP coverage, pilot blocks/zones, and data architecture changes.
• Weeks 3–4: PFEP Build and Kit Strategy
  • Built PFEP for prioritized items; defined kit types and contents by block/zone.
  • Drafted kit identity standards, labeling, and scanning checkpoints; defined reverse kitting flows.
  • Modeled kitting cell capacity and space; designed SMED-inspired set-ups and QA checklists.
  • Gate 2: Approved kit designs, kitting cell layout, and pilot kit lists for build.
• Weeks 5–6: Slotting and Warehouse Layout Design
  • Ran slotting analytics (ABC/XYZ, COI) and developed revised location assignments and pick paths.
  • Designed supermarket and cross-dock lanes; specified equipment and signage.
  • Developed WMS configuration changes and SOPs; aligned with HSE on safety criteria.
  • Gate 3: Approved slotting plan, WMS changes, and implementation wave plan.
• Weeks 6–8: Tugger Network and Route Engineering
  • Mapped yard lanes, constraints, and staging hubs; sequenced route stops and frequencies to takt.
  • Modeled fleet size and schedules; created route cards and standard work for operators.
  • Configured RTLS pilot for route telemetry; defined on-time metrics and escalation.
  • Gate 4: Approved route network, fleet plan, and POU staging standards for pilot zones.
• Weeks 8–10: Pilot Execution (Kits, Slotting, Routes, POU)
  • Executed slotting relocation for pilot families; launched kitting cells; built and delivered initial kits.
  • Ran milk-run routes; monitored adherence and safety; adjusted dwell times and stop sequencing.
  • Implemented POU 5S, kanban, and visual controls; trained operators and trade leads.
  • Gate 5: Validated process capability, data capture, and governance readiness for broader rollout.
• Weeks 10–12: Validation, Governance Setup, and Handoff
  • Stabilized daily tiered management; finalized dashboards and KPI thresholding.
  • Completed PFMEA and risk mitigations; updated SOPs and training materials.
  • Produced rollout roadmap, investment case, and sustainment plan; briefed executive steering group.
  • Gate 6: Approved scale-up plan and capex sequencing for carts, racks, and RTLS/WMS enhancements.

Critical path items included EBOM-to-MBOM reconciliation for target zones, WMS configuration and barcode standards, and physical relocation of high-velocity items prior to pilot. Decision gates ensured alignment on kit scope, route cadence, and safety controls before each wave.

8) Deliverables

• Current-State Diagnostic and Opportunity Map
  • Documented VSMs, spaghetti diagrams, KPI baseline, and constraint analysis by block/zone. Used to align stakeholders on priorities and set the design scope.
• PFEP (Plan For Every Part) Dataset and Playbook
  • Comprehensive dataset with item attributes, demand by block/zone/takt, handling class, replenishment policy. Accompanied by maintenance processes and ownership model.
• Kit Design Standards and Work Instructions
  • Kit typology, content rules, identity management, labeling standards (MIL-STD-129/130), QA checklists, reverse kitting procedure. Enables consistent kit build and traceability.
• Kitting Cell Layout and Capacity Model
  • Physical layout drawings, equipment lists (carts, racks, protection), SMED-based set-ups, labor standards, and staffing model. Guides implementation and scale-out.
• Warehouse Slotting Model and Location Assignments
  • Slotting analytics outputs, location master updates, pick path design, supermarket/cross-dock configuration, and WMS parameter settings. Supports travel reduction and accuracy.
• Tugger Route Network and Standard Work
  • Route maps, stop sequences, cycle times, fleet sizing, route cards, and exception protocols. Provides the operational reference for milk-run execution.
• Point-of-Use Staging and 5S Toolkit
  • POU rack/cart standards by trade, layout zones, visual controls, kanban rules, and safety/ergonomic guidelines. Enables predictable workface readiness.
• Systems Integration and Data Specifications
  • Interface definitions between ERP/PLM/MES/WMS, barcode/label standards, RTLS data models, and scanning points. Ensures digital thread continuity.
• Logistics PFMEA and Risk Register
  • Failure mode analysis for kitting, transport, and POU staging; mitigations, owners, and monitoring plan. Provides a preventive risk management framework.
• KPI Dashboard and Tiered Management Toolkit
  • Dashboard designs and BI queries for FTMA, OTKD, pick accuracy, tugger on-time, inventory accuracy, POU stockouts, and safety KPIs. Includes meeting cadences and escalation thresholds.
• Training and Change Management Package
  • SOPs, visual work instructions, training agendas, competency checklists, and layered process confirmation routines. Supports capability building and sustainment.
• Implementation Roadmap and Investment Case
  • Wave plan for rollout across blocks/zones, capex/opex profile for carts, racks, RTLS, and WMS changes, and benefits logic linked to schedule and productivity targets. Guides executive approvals and sequencing.

9) Industry Insights

Shipbuilding and marine systems present a distinctive logistics profile versus discrete manufacturing. Block construction and zone outfitting distribute material demand across large, variable workspaces with complex safety and environmental constraints. Kitting and point-of-use logistics, when engineered to block and zone, become strategic levers for stability, safety, and productivity.

• Market dynamics and delivery pressures:
  • Defense programs demand on-time delivery tracked through EVMS, with penalties for schedule slippage. Supply volatility and labor shortages increase the premium on predictable material flow to the workface.
  • Modern yards push outfitting earlier in the build, intensifying POU material demands in blocks before erection. This shifts logistics complexity upstream to assembly bays and increases sensitivity to kitting discipline.
• Technology shifts:
  • Greater use of PLM-integrated MBOMs and digital work instructions makes EBOM-to-MBOM traceability essential. The ability to translate digital models into kit content and sequence is a differentiator.
  • RTLS, barcode standardization, and WMS-MES integration are maturing in shipyards, enabling route adherence monitoring and closed-loop replenishment. Adoption remains uneven; standardization drives value.
  • Lightweight AGVs and autonomous tuggers are emerging, but mixed operations with forklifts and cranes require robust safety governance and lane design before automation scales.
• Ecosystem and supplier readiness:
  • Supplier pre-kitting and compliant packaging reduce shipyard handling but require standard label/ASN protocols and feedback loops on nonconformance. Vendor managed inventory (VMI) for consumables can stabilize two-bin kanban if governance is clear.
  • Outsourced modules (pipe spools, panels) benefit from sequenced delivery agreements synchronized to yard routes, reducing laydown and double handling.
• Regulations and standards:
  • MIL-STD-129/130 labeling, UID/IUID, DFARS, ITAR, and NAVSEA quality requirements drive traceability and documentation at kit and part levels. HAZMAT handling and hot work segregation govern staging design.
  • Cybersecurity controls on operational data (e.g., route geolocation) must be respected, affecting telemetry granularity and retention policies.
• Buyer behavior:
  • Shipyard leaders prioritize interventions that protect the critical path and minimize touches. They expect rapid pilots in selected blocks/zones with visible governance enhancements before scale-up.
  • Preference exists for solutions that leverage existing ERP/MES/WMS investments with targeted enhancements rather than wholesale system replacements.
• What “good” looks like (illustrative, not prescriptive):
  • FTMA and OTKD service levels consistently at high-90s for targeted zones; pick accuracy near-perfect for controlled items; inventory accuracy stabilized via cycle counting anchored in PFEP.
  • Standardized milk-runs with high on-time adherence, reduced forklift traffic in mixed zones, and clear pedestrian lanes. Visible POU kanban and 5S compliance with regular audits.
  • PFEP maintained as a living system-of-record for materials planning; slotting updated quarterly based on velocity and COI shifts; dashboards used in daily tiered reviews.
• Near-term disruptions and implications:
  • Supply chain variability will persist, making reverse kitting and flexible route rebalancing important. Engineering changes late in the cycle will stress MBOM stability; robust cut-off rules and exception playbooks are essential.
  • Labor scarcity intensifies the need for ergonomic, standardized POU environments, cross-training for kitting/tugger roles, and user-friendly tech (scanners, pick-to-light).
  • Decarbonization and ESG requirements may encourage fleet electrification and noise reduction measures, influencing tugger selection and charging infrastructure in route design.

For the Aerospace & Defense sector in Shipbuilding & marine systems, kitting and point-of-use logistics within the Supply Chain capability benefit from an integrated approach: PFEP to define what and when; slotting and layout to enable fast, accurate picking; milk-run tugger networks to stabilize the last mile; POU design to make workface execution safe and efficient; and a data-driven operating system to sustain performance. This project design reflected those imperatives and equipped the client to manage materials by block and zone with greater predictability, compliance, and responsiveness.