JIS (Just-in-Sequence)

JIS (Just-in-Sequence) – Line-Ready Supply, Zero-Buffer Execution

This topic is part of the SG Systems Global regulatory & operations glossary.

Updated October 2025 • Lean Flow & Sequenced Logistics • JIT • Heijunka • Barcode & EPCIS

JIS (Just-in-Sequence) is the discipline of delivering components to a production point in the exact order the line will consume them—often with seconds of slack and no onsite buffering. Where JIT minimizes inventory by timing arrivals, JIS tightens the screw: it aligns item identity and position to the assembly schedule so the next part that arrives is the next part that must be installed. Success hinges on stable takt, accurate demand signals, rock-solid identification (GS1/GTIN), and scan-enforced confirmation at every handoff. JIS collapses in-flight choice; it is an execution promise that the right unit shows up in the right slot—no sorting, no guesswork, no delay.

JIS is unforgiving. Sequence breaks cascade into line stops, overtime, and rework. The antidote is designing for sequence: building routes, packaging, labels, and IT messages that protect order from supplier dock to point-of-use. That means dependable EDI schedules, event-level visibility using the EPCIS standard, Directed Picking logic that won’t let operators pull the wrong tote, and Barcode Validation to prevent quiet mis-sequences. In mixed-model environments leveled via Heijunka, JIS keeps the line flowing while offering mass customization without drowning the floor in changeover chaos.

“JIT brings parts on time; JIS brings the right part in the right order. One saves inventory; the other saves the build.”

TL;DR: JIS synchronizes the identity and order of inbound items with the build sequence at the station. It depends on accurate demand signals, leveled schedules (Heijunka), supplier alignment via EDI, event visibility with EPCIS, and scan-enforced barcodes. Execution lives through Job Queue dispatch, route-specific traveler steps, and hard stops on mis-sequence. Done right, JIS enables high mix/low buffer manufacturing with short lead times; done poorly, it amplifies variability and stalls the constraint.

1) What It Is (Unbiased Overview)

Just-in-Sequence is a logistics-to-execution contract: the production schedule defines an ordered list of units (by VIN/serial/SKU/lot), and upstream processes—internal supermarkets, kitting cells, or external suppliers—stage and ship components in that exact order so the station consumes the next arriving unit without sorting. JIS is common in automotive cockpits, seats, bumpers, and electronics, but the logic applies anywhere components vary per build: medical kits with patient-specific options, nutraceutical packs with flavor alternates, or food lines with label languages by customer. The essential features are sequence identity (each item is uniquely labeled), sequence integrity (items arrive in order), and sequence confirmation (the station verifies the expected ID before install).

Because JIS removes choice at the point of fit, it demands a stable, leveled build plan and fast feedback when reality shifts. That is why JIS is usually paired with JIT replenishment and Heijunka sequencing rules: bring fewer things more often, and mix models in a predictable cadence so suppliers can hit narrow windows. On the plant side, JIS is enforced through MES dispatch, traveler prompts at the HMI, and scans that create a hard interlock with the build record.

2) Scope, Preconditions & Data Model

Scope. JIS applies where parts vary unit-to-unit and are costly to buffer or sort. It often targets large modules, color/trim variants, patient/customer-specific labels, or potency-controlled items where wrong-part risk is high. Preconditions. The program must support: (a) leveled plan and takt that suppliers can follow; (b) unique identifiers per item or kit; (c) synchronized clocks and status across systems; (d) controlled label templates; and (e) scan gates at pick, pack, ship, receive, and line-side issue. Data model. Every sequenced item carries a Sequence ID (position in run) and an Item ID (e.g., GTIN+serial/lot) following GS1 formats. Messages carry planned vs. actual events (EPCIS) and planned-vs-actual volumes and times (EDI).

JIS hinges on accurate master data. If color codes, label variants, or component alternates are sloppy, sequencing breaks even if logistics are perfect. Likewise, warehouse rules must obey time sensitivity: near-dated stock follows FEFO and base materials follow FIFO so sequence doesn’t embed expiry risk. Finally, governance matters: the sequenced plan must sit under version control with effective dates and clear rollback paths—without that, everyone chases ghosts.

3) Signals, Messages & Integrations

Schedule signal. The plant publishes a frozen sequence window (e.g., the next 60–120 minutes at takt) via EDI or an API. Suppliers acknowledge, kit, and load in that order. Event visibility. As items are picked, packed, loaded, and shipped, each event is emitted as an EPCIS capture (WHAT item, WHEN, WHERE, and business step). Receiving & staging. The plant receives with scan gates that confirm sequence, detect shorts/out-of-order units, and direct totes to the right location. Line-side. The Job Queue exposes the same sequence, station travelers show “next expected ID,” and Barcode Validation blocks the wrong piece.

When the plan changes—customer pull-in, option change, scrap replacement—the signal must ripple immediately. Good designs mark the old Sequence ID as void, assign the new unit a replacement position, and trigger exception messages to any supplier with work-in-progress kits. Without this “cancel/replace” discipline, suppliers keep feeding the old truth and the line inherits conflicting sequences.

4) Physical Flow: Kitting, Packaging & Conveyance

Physical controls make or break JIS. Kitting cells should present only one order’s materials at a time, with Directed Picking prompts and component scans that match the expected variant. Completed kits are packed in sequence-tolerant packaging—ideally one kit per tote or rack slot—so the loaded transport unit preserves order through bumps and turns. Totes and racks carry visible sequence numbers and machine-readable IDs. Load plans should reflect the station’s consumption direction (e.g., top-to-bottom or left-to-right), so operators never need to flip or shuffle.

Conveyance should be fast and predictable. Milk runs or AGVs move sequenced units at a cadence aligned to takt with small buffers (often 2–5 units). At each transfer, a scan adds evidence and the system rechecks order. If mis-sequence is detected, the route should provide a short rework loop—an off-ramp where a material handler can correct the tote without blocking the whole train. Line-side presentation is crucial: the “next expected” is reachable with a single motion, and the previous/next-1 units are visible but not easily mistaken. The goal is zero sorting at the station.

5) Quality & Risk Controls

JIS failure modes are brutal: wrong variant installed, unit missing, or unit late. Controls must be layered. Identification: every item has a scannable, durable code (e.g., GTIN+serial or lot) per GS1. Verification: Barcode Validation at pick, pack, ship, receive, and install with hard stops for mismatches. Traceability: events logged under EPCIS so the chain of custody is reconstructable. Data integrity: results and overrides are attributable, contemporaneous, and audit-trailed per ALCOA+ and GxP Audit Trail principles where regulated.

High-risk transitions (allergen class, potency bracket, patient-labeled kits) require extra prompts, often in the traveler. Before consumption, the HMI can demand a specific Dual Verification or photo evidence. Where applicable, First Article checks on the first unit of a new variant prevent compounding mistakes. Finally, governance rules should block installation of a unit if its upstream component lot is on Hold or not yet Released.

6) Common Failure Modes (and How to Avoid Them)

Sequence drift in transit. Totes shift, labels fall, racks load out of order. Countermeasure: one-kit-per-slot packaging, redundant IDs on tote and slot, photo-on-load, scan-on-unload, and load plans that mirror station consumption.

Late plan changes without cancel/replace. The sequence changes but suppliers keep building the old list. Countermeasure: explicit “void/replace” messages, visual kill-lists, and Queue logic that won’t dispatch voided positions.

Weak identification. Smudged or duplicative labels, human-readable only. Countermeasure: printed and applied labels validated at print time, barcode checks at each handoff, and template control via Document Control.

Workstation sorting. Operators fish for the “right” variant, breaking takt. Countermeasure: line-side presentation with only the next few units accessible and traveler screens that show the expected ID and block the wrong one.

Warehouse overrides. Expedites skip scans. Countermeasure: reason-coded overrides with Dual Verification and automatic deviation triggers for post-run analysis.

Expiry and age-related risk. JIS ignores shelf life. Countermeasure: integrate FEFO into directed pick rules and block staging of near-expiry lots to long sequences.

7) Metrics that Prove JIS is Working

Measure sequence adherence (percent of units consumed in planned position), mis-sequence rate (ppm), line stops due to sequence (count and minutes), expedite touches (manual interventions per 100 units), scan adherence at pick/pack/ship/receive/install, conveyance OTIF (on-time, in-full) for the JIS window, trace time to reconstruct a sequence, label reprint rate, and supplier sequence accuracy. Correlate these with OEE and first-pass yield to quantify impact. For perishable or regulated goods, track FEFO compliance and hold/blocked consumption due to status mismatches.

8) Practical Walkthrough (Mixed-Model Assembly)

A mixed-model assembly line builds five trim variants at 55-second takt. The master schedule is leveled via Heijunka, avoiding long runs of any one option. Every morning and then hourly, the plant publishes a 90-minute frozen window through EDI. Seat and dash suppliers acknowledge and kit in that order. As each kit is finalized, operators scan component lots and the tote ID; an EPCIS event records WHAT (tote, kit serials), WHEN, WHERE (kitting cell), and WHY (commission and pack). The rack loads in “snake” order matching line presentation; a photo and scan validate that slot 1 holds sequence #201, slot 2 holds #202, and so on.

Milk-run tuggers deliver racks every eight minutes, preserving order. At the line, a scan-at-gate checks that the next expected Sequence ID is present on the first slot. The traveler shows the expected kit ID and variant color for the current VIN; the HMI blocks install if the wrong kit is scanned. Mid-shift, a customer cancels VIN #218; planning voids its Sequence ID, the MES flags the slot red, and the supplier gets a replace message for #218R. The train arrives: slots 201–217 pass in order; slot 218 is skipped and held; 219–225 are consumed; a short loop returns the rack with 218 to the rework bay for retagging to 218R. No line stop, no sorting on the floor, and full traceability of the exception path.

9) How This Fits with V5

V5 by SG Systems Global operationalizes JIS across planning, warehouse, and station execution. The Job Queue exposes the frozen window and dispatches in sequence; traveler steps at the HMI show “next expected” IDs and enforce Barcode Validation. Warehouse flows use Directed Picking, Bin Location, and FEFO/FIFO to stage only the correct variants. Label templates and packaging instructions live under Document Control; IDs follow GS1 rules. Inbound and internal handoffs capture events to the EPCIS model; plan and change messages flow through EDI. Exceptions open structured Deviation/NC records; consumption and genealogy roll into Batch Genealogy and, where relevant, to Finished Goods Release. The effect: fewer line stops, cleaner audits, and trace-in-minutes when customers ask, “What exactly went into unit #X?”

10) FAQ

Q1. How is JIS different from JIT?
JIT times delivery to reduce inventory. JIS adds order and identity alignment: the next unit delivered is the next unit consumed. In practice, JIS rides on top of JIT and requires stronger signals and confirmations.

Q2. Do we need one-piece flow to use JIS?
No, but takt must be predictable and buffers small. JIS works best with leveled, mixed-model plans (Heijunka) and short frozen windows suppliers can reliably serve.

Q3. What labeling standard should we use?
Use GS1/GTIN conventions with unique serials or lots, rendered via controlled templates under Document Control. Enforce Barcode Validation at every handoff.

Q4. How do we handle last-minute option changes?
Issue cancel/replace messages through EDI, void old Sequence IDs in the Queue, and create a short rework loop to retag or re-kit. The traveler should block consumption of voided IDs.

Q5. How do we keep operators from sorting?
Present only the next few units, align rack order to install order, show “expected ID” on the traveler/HMI, and make scans a hard interlock. Sorting is a symptom of upstream sequence loss—fix the upstream cause.

Q6. Can JIS coexist with FEFO and FIFO?
Yes. Use FEFO/FIFO in directed picking to select eligible lots; once a lot is chosen for a given sequence position, that identity is locked and must follow the JIS path.

Q7. What minimal tech stack is needed?
Stable schedule publishing (EDI), event capture (EPCIS), handhelds or fixed scanners for validation, and an MES with a sequenced Job Queue and traveler enforcement. Optional: AGVs, photo-on-load, and rack sensors.

Q8. Where does QA fit?
QA defines risk gates (e.g., variant FAI, allergen changeovers), maintains label masters under Document Control, and reviews exceptions. For regulated products, they ensure records meet ALCOA+ and audit trail expectations.

Q9. How much buffer should we keep?
Enough to absorb small logistics hiccups without hiding systemic issues—typically 2–5 units at the station. Larger buffers mean sorting; smaller buffers mean line stops. Tune with data.

Q10. What proves JIS is mature?
Near-zero mis-sequence ppm, minimal sequence-related stops, high scan adherence, supplier OTIF for the frozen window, sub-5-minute trace time, and stable takt with high first-pass yield—without heroic expediting.


Related Reading
• Flow & Mix: JIT | Heijunka
• Signals & Trace: EDI | EPCIS | GS1/GTIN | Barcode Validation
• Warehouse & Staging: Directed Picking | Bin Location Management | FEFO | FIFO
• Execution & Records: Job Queue | Job Release | Job Ticket | Job Traveler | Batch Genealogy | Audit Trail (GxP) | Data Integrity