Concurrent Engineering: Benefits, Challenges, and Best Practices

When Chrysler developed the LH platform in the early 1990s, its cross-functional platform teams brought a passenger sedan from styling studio to showroom in roughly 39 months, well under the industry’s typical five-year cycle at the time. That result came from a fundamentally different way of organizing work, one in which manufacturing, purchasing, finance, and supplier representatives contributed to design decisions from day one rather than discovering problems after the design was frozen.

The methodology behind that result, concurrent engineering, has shaped regulated product development across aerospace and defense, automotive engineering, and medical device programs for decades. Yet sequential handoffs remain the default in programs that push integration problems into later phases, where schedule and budget absorb the damage. 

This guide covers how concurrent engineering works, the evidence behind its benefits, and practices that make it repeatable. 

What Is Concurrent Engineering?

Concurrent engineering is an integrated approach to the design of products and their related processes, including manufacture and support. The original 1988 definition, commissioned by the U.S. Department of Defense (DoD), specified that developers should consider all elements of the product life cycle from conception through disposal, including quality, cost, schedule, and user requirements.

Concurrent engineering organizes development into parallel tasks, thereby compressing the time required to bring a new system to market. 

How Concurrent Engineering Differs From Sequential Development

The structural difference between concurrent and sequential development determines when problems get discovered and how much they cost to fix.

The Sequential or “Over-the-Wall” Approach

In sequential development, each discipline completes its work and passes the output to the next group. The information flow is unidirectional, from left to right. When manufacturing discovers that a design can’t be produced affordably, or testing finds that a requirement was misinterpreted, the product gets sent back over the wall for rework. Productivity must be addressed during the design phase, not after design release.

The Concurrent or Parallel Approach

Concurrent engineering replaces that linear handoff with overlapping phases and bidirectional feedback. Cross-functional Integrated Product Teams (IPTs) work simultaneously on design, manufacturing process development, test planning, and support. Changes concentrate in the early conceptual and design phases rather than at integration or production.

Why the Shift Happened

Weapons systems programs were arriving late, over budget, and with manufacturing and supportability problems undiscovered until production. These failures were documented in early research on concurrent engineering. The Design and Industrial Concurrent Engineering (DICE) program, funded by the Defense Advanced Research Projects Agency (DARPA), aimed to promote concurrent engineering to accelerate development cycles for advanced defense-related systems. Automotive followed a similar trajectory, using concurrent practices to compress development cycles.

Core Principles of Concurrent Engineering

Four interdependent principles distinguish concurrent engineering from ad hoc parallelism.

Cross-Functional Team Integration From Day One

An Integrated Product Team is a multidisciplinary group collectively responsible for delivering a defined product or process, composed of representatives from design, manufacturing, test and evaluation, logistics, and the customer. IPT representatives must hold decision authority, not merely advise. Cross-functional collaboration without that authority recreates sequential-review dynamics within a nominally parallel structure.

Parallel Workstreams Anchored to a Shared Baseline

Parallel work without a common technical reference produces divergent designs that only reveal their incompatibilities at integration. Maintained requirements baselines and shared information capture infrastructure are prerequisites for effective concurrent engineering. The Design Structure Matrix method provides the analytical approach for mapping what information each team needs from others and when.

Continuous Information Flow Across Disciplines

All available information about a product should be accessible at every stage in its design, manufacture, support, and recovery or disposal. When a manufacturing engineer needs to know whether a tolerance change affects the assembly sequence, that information must be up to date and retrievable without waiting for a design review milestone.

Early Consideration of Downstream Constraints

Ignoring downstream issues during early design leads to poor decisions and product designs that cause unforeseen problems later. Design for Manufacturing, Design for Testability, and Design for Supportability each represent categories of downstream constraints that concurrent engineering brings into the design phase. Early engineering decisions lock in most of the total product cost.

Benefits of Concurrent Engineering

The evidence for concurrent engineering’s impact is clearest in four areas, each documented across defense, aerospace, and automotive programs

Shorter Time to Market

Concurrent engineering has produced documented cycle-time compression across defense, aerospace, and automotive programs. Programs studied under the DARPA DICE initiative projected meaningful reductions in development cycle time for advanced systems. Chrysler’s LH platform team reduced new-vehicle development cycles by more than 40 percent compared with the prior generation by integrating engineering, manufacturing, purchasing, finance, and supplier representatives into platform teams from the start of the program. These reductions compound when applied to industries where late market entry carries regulatory or competitive penalties.

Lower Rework and Late-Stage Change Costs

Concurrent engineering is consistently associated with lower scrap and rework costs across defense, aerospace, and electronics programs. Reductions at this scale come from catching downstream constraints during design rather than at integration, when changes spread through approved drawings, tooling, and qualified processes. 

Higher Product Quality and First-Pass Yield

Defect and field failure rates tend to decline when concurrent engineering is applied across multiple program cycles, with comparable patterns observed in defense, aerospace, and electronics. Improvements at this scale follow from front-loading design validation to catch issues earlier rather than discovering defects in production or the field. 

Stronger Cross-Discipline Alignment

Defense and aerospace programs that use concurrent engineering tend to have fewer rework cycles than sequentially developed programs of comparable scope. These reductions trace back to early cross-discipline alignment, which helps prevent misinterpretations of requirements and interface conflicts, both common sources of rework loops. 

Common Challenges in Concurrent Engineering

Concurrent engineering shifts the cost of coordination earlier in the lifecycle, but that coordination introduces its own failure modes.

Coordinating Parallel Changes Without Breaking Downstream Work

Reliance on preliminary information is a recurring source of rework in concurrent programs, and the share of engineering capacity it absorbs can be substantial. Preliminary information may appear precise but can change before the receiving team’s work is complete. 

Managing Information Across Disciplines and Tools

Different engineering disciplines use different design tools, often based on different data architectures and located at different sites. A requirements management system can act as a shared coordination layer, but the underlying incompatibilities in how disciplines represent and version design state remain a persistent barrier.

Maintaining Traceability When Multiple Teams Edit in Parallel

Requirements traceability includes bidirectional tracking of requirements and supports change impact analysis and maintenance activities. Traceability must survive parallel development dynamics. Without live upstream and downstream relationships, dependent teams can baseline against outdated information before they ever see the change.

Cultural Resistance to Cross-Functional Decision-Making

The primary obstacles to the adoption of concurrent engineering include resistance to change across teams, difficulty obtaining information across team boundaries, and a lack of effective communication pathways. These barriers have appeared repeatedly in studies of concurrent engineering adoption.

Best Practices for Implementing Concurrent Engineering

Five practice areas address the coordination, traceability, and governance gaps that undermine concurrent programs.

A Single Source of Truth for Requirements

Requirements integration must be planned before parallel workstreams begin, including attributes, relationships, and ownership assignments. Under Automotive Software Process Improvement and Capability Determination (Automotive SPICE) ENG.2, bilateral traceability from customer requirements through system requirements is mandatory, with consistency supported by established and maintained links. Without that common reference, parallel teams build against conflicting interpretations that surface only at integration milestones.

Clear Handoffs and Decision Gates Between Disciplines

Preliminary Design Review (PDR) and Critical Design Review (CDR) are the canonical decision gates at which teams transition from functional and logical designs to physical architectures. If bidirectional traceability hasn’t been established before PDR, the gate criterion isn’t met, and disciplines can’t proceed in parallel from an undefined baseline. Assessors require documented evidence of agreement at these gates, and undocumented verbal agreements don’t satisfy the process outcome evidence requirements.

Branching and Merging to Isolate Parallel Work

Branching is an optimistic concurrency control strategy that mitigates risk by separating concurrent efforts into isolated development paths. Configuration management is commonly described as comprising five activities: planning, identification, change management, status accounting, and verification and audit. Merge governance, including when, by whom, and with what review criteria, must be planned before branches are opened, not improvised at merge time. 

Reuse and Variant Management for Shared Requirements

Parallel programs often develop multiple variants of the same product at once, and rewriting shared requirements for each one multiplies both effort and the risk of divergence. Reusing a controlled requirement across variants, rather than copying it, keeps a single managed definition that propagates changes to every program that depends on it. Feature-based product line engineering extends this idea, organizing reusable assets around the features that distinguish one variant from another so concurrent teams build from a shared core instead of parallel forks. Reuse and variant strategy should be decided before parallel workstreams begin, because retrofitting shared definitions onto independently authored requirements forces the same late-stage reconciliation that concurrent engineering is meant to prevent.

Live Traceability in the Development Workflow

DO-178C compliance requires that system requirements and verification tasks produce a complete bidirectional trace across the life cycle, in which any changes to requirements, design, or source code are traceable. A traceability matrix that shows only forward coverage from requirements to tests is insufficient. Live traceability across disciplines requires explicit, maintained integration links between tools rather than periodic export-and-import cycles that create gaps at each interval.

Coordinating Concurrent Programs With Jama Connect®

Concurrent programs break down when teams lose alignment on requirements, interfaces, and verification needs while working in parallel. Jama Connect gives multidisciplinary teams a shared requirements baseline with Live Traceability™ across systems, software, hardware, and test. When one team changes a requirement, downstream artifacts are flagged as suspect so dependent teams can assess change impact before their own work diverges from the current baseline.

Reuse and variant-management capabilities support parallel workstreams, while Traceability Information Models (TIMs) define expected relationships between artifact types and surface missing links early. The Jama Connect Interchange™ add-on supports coordination across existing tool environments, including Jira for agile software teams and the Requirements Interchange Format (ReqIF) for exchange with supply chain partners.

Why Concurrent Engineering Wins or Stalls

The advantage of concurrent engineering rarely comes down to whether teams understand the methodology. It comes down to whether the infrastructure between disciplines can carry the information load that parallel work creates. Without that infrastructure, change impact pools within individual tools only surface at the integration milestone, when fixing them is expensive.

Jama Connect supports this workflow by holding the shared requirements baseline, maintaining live trace relationships across tools and disciplines, and flagging downstream artifacts the moment an upstream requirement shifts. Teams evaluating a fit for concurrent development can start a Jama Connect trial.

Frequently Asked Questions About Concurrent Engineering

How is concurrent engineering different from simultaneous engineering?

There’s no meaningful technical distinction between the two. Peer-reviewed publications and the academic literature often treat simultaneous and parallel engineering as closely related or even interchangeable, whereas integrated product development and life cycle engineering are usually presented as broader or distinct yet related approaches.

What industries benefit most from concurrent engineering?

Industries developing complex, multi-disciplinary products under regulatory oversight gain the most from concurrent engineering. Defense and aerospace sectors adopted it first due to DoD acquisition mandates. Automotive followed, with Advanced Product Quality Planning (APQP) naming concurrent engineering as a component of quality planning under the IATF 16949 automotive quality standard. Medical device programs benefit when design, risk management, and manufacturing process development can overlap rather than be executed sequentially.

What tools do teams need to support concurrent engineering?

A requirements management system that maintains bidirectional traceability and change impact analysis across disciplines is the core need, alongside branching workflows for parallel workstreams. Teams typically also need product lifecycle management (PLM) tools for configuration management, computer-aided design and engineering (CAD/CAE) tools for digital pre-assembly, and integration infrastructure to keep these environments synchronized. Standards-based exchange formats reduce friction across tool boundaries.

How does concurrent engineering affect regulatory compliance?

Concurrent engineering creates a specific compliance tension. FDA design controls require documented reviews, approvals, and verification activities to confirm that each component and process design is ready before entering production. ISO 13485 imposes similar quality system requirements on medical device development. Concurrent programs need to plan certification milestones around overlapping activities, and aerospace certification plans need to account for parallel work with decision gates under review.

This article was authored by Mario Maldari and published on June 5, 2026.