Table of Contents
Business Initiatives
Transform Ideas from Requirements to Commercialized Products
Technical requirements typically come from a variety of disparate sources throughout the enterprise. Given the amount of change and variability that can exist in translating a high-level idea or marketing requirement into technical requirements and design detail that endures throughout an item’s lifecycle, there is a high probability that incorrect system architecture will go unnoticed, causing longer time to market, inaccurate product information, and poor customer experience.
A simplified requirements, test-management and system architecture provides a unified and governed environment in which all key stakeholders, both internal and external, can engage in lean systems engineering. This is where an open-architecture cloud or web-based portal is ideal, because it enables data to be controlled from anywhere, at any time, from any device, and from any process. A single PLM repository will ensure product-requirements data is consistent with built-in controls and business-rule validations so that lean systems’ engineering processes and best practices can be governed in real time. This means that you’re ready to launch a new product more quickly into multiple sales channels, while having confidence that precise product information was utilized and will be delivered.
Requirements Reuse
Today, between 60 and 80 percent of new products come as options and variants on previous designs. Depending on the industry, most of the new contributions come from software, while sectors such as mechanical, electrical, packaging, regulatory requirements and so on have a slower rate of change. The more efficiently an organization can reuse design and development artifacts, the more quickly new products are brought to market, and the less scrap and waste is created. Yet many organizations are not seeing the benefits they expected from reuse due to a lack of systems-engineering discipline.
A modern cloud-based requirements and test-management solution offers many ways for internal and external users to provide and receive data using a variety of devices and from a range of sources. Not only are these processes automated in the cloud; they also deliver continuous business-rule validations and verification of data so that all parties can validate the information they provide and ensure its authenticity. This helps your business leverage continuous improvement cycles, because you’re not creating new requirements, test and system architectures when adequate ones already exist.
Best Practices: Requirement Definition to Delivery
Evaluate Ideas
Prioritize resources allocation on ideas captured from sources including customer, quality & social media.
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Define requirements & Associated Tests
Collaborate among domain experts & stakeholders to define requirements & test cases via secure social interaction. Foster reuse with easy search & copy.
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Determine Product Scope
Ensure requirement clarity among stakeholders & confirm the feasibility with the design team via secure social platform. Reach the product scope using insight-driven analysis.
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Optimize Requirements
Balance product feature, time-to-market & resource usage goals by reviewing early designs to refine/ right-size in-scope requirements using trade-off analysis.
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Manage Traceability
Throughout development stage, maintain associations between designs & intended requirements. Analyze change impact among dependencies using easyto navigate Traceability Matrix.
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Monitor Fulfillment
Capture fulfillment decision process & supporting details via secure social network. Analyze impact of requirement change on scope, schedule, & cost via dashboard.
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Determine Product Scope
Dashboard driven analysis of Traceability Report to validate the right product is being build built & verify the product is being built right. Ensure test criteria are consistent for all requirements.
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Confirm Delivery
Release the product for production or next stage development. Automate approval routing based on business/regulatory policy.
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Requirements/Test Traceability, Verification, and Validation
With manual and inefficient systems-engineering processes, products often get to market late and are riddled with inaccurate, outdated or incomplete requirements and test information. This leads to lost sales, customer dissatisfaction, and increased operational costs.
To empower a streamlined systems-engineering process that incorporates the ability to verify and validate, organizations need comprehensive traceability (from requirements to test). Having a modern lean systems-engineering solution in the cloud means that businesses can run their entire product I2C process using dependable, up-to-date requirements and test specifications—which means they can reduce latency. This results in a quick win by accelerating time to market, and gives the organization a competitive advantage in a dynamic market.
Lean Systems Engineering
Today’s businesses are confronted with the challenge of providing customers with quality and accurate products in increasingly shorter cycles. To keep up with high customer expectations, companies need to engineer products in leaner and more efficient ways so that they improve time to market and control costs.
An effective lean systems-engineering capability enables complete, reliable verification and validation. How? Through more-efficient trade studies, impact analysis, purchasing decisions, and critical-path risk mitigation, which uses failure modes and hazard analysis.
