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Mitsubishi Materials USA

Unlocking the Potential of High-Value Custom Engineering

04:38 Why physical innovation lags digital innovation

10:04 The investment gap in engineering and procurement

15:43 CADDi’s data layer, semantic layer, and workflow products

20:17 Connecting engineering knowledge across teams

34:13 Demo: Procurement Strategy and Part Consolidation

For engineering, procurement, and operations leaders, this SME Media webinar tackles why physical innovation lags digital ideas and why upstream data stays siloed. CADDi's Patrick Harrigan and Sid Srivastava explain how a data layer, semantic layer, and workflow products in the CADDi AI Data Platform turn past engineering knowledge into faster quotes, smarter sourcing, and part consolidation. <h3 class="">Frequently asked questions</h3>Do we need to consolidate our ERP and PLM systems first?No. The CADDi AI Data Platform connects knowledge across existing systems, so teams can use information from multiple ERP and PLM environments without consolidating them first.Is reuse realistic for engineer-to-order work, where parts aren't identical?Yes. Patrick explains that 70% to 90% of a new project often overlaps with past work. Similarity scores help engineers evaluate potential matches and decide what to reuse, leaving more time for genuinely new requirements.How does CADDi help engineering and procurement work together?The CADDi AI Data Platform gives both teams access to the same knowledge and context behind past decisions. In the webinar, Sid explains how this shared foundation helps teams work faster, reduce conflict, and avoid decisions that lead to rework.What is a semantic layer?A semantic layer connects data with its meaning and context, including the reasoning behind past decisions. Patrick describes how knowledge captured as teams use the CADDi AI Data Platform feeds back into this layer, giving future quotes and decisions more context.What types of data can the CADDi AI Data Platform connect?In the webinar, Sid demonstrates engineering and procurement information, including drawings, specifications, inspection reports, and procedures. He also describes using recordings of design reviews, converted into transcripts, to capture knowledge beyond traditional documents.

Connect engineering, procurement, and quoting teams through a shared data foundation rather than separate departmental AI projects.

Capture the reasoning behind past decisions, not just the final records stored in business systems.

Use historical project knowledge to identify work that can happen in parallel instead of sequentially.

Reuse proven engineering work while focusing expertise on what's genuinely new. Patrick describes 70% to 90% overlap with past work in engineer-to-order projects.

How High-Performing Engineering Teams Turn Manufacturing Data Into an Advantage

Sumitomo Drive Technologies

Transforming “Searching” into “Solving” with Sumitomo Drive Technologies

DENSO

Eliminating Rework and Freeing Up Capacity Through AI at DENSO

SUBARU

Accelerating Every Stage of Design and Production with CADDi

Kawasaki Railcar Manufacturing

Realizing the Potential of Hidden Drawings and Purchasing Data

Astemo

'Just Try It': How Astemo Sparked a Grassroots Digital Culture Shift

For manufacturing engineers, estimators, and sourcing teams who keep re-quoting parts they already have. Jacob Elkin of CADDi and Nicholaus McKenna of TRUMPF explain why past parts are hard to find, show how similarity search in the CADDi AI Data Platform surfaces them, and share how design reuse cuts cost, tooling changeovers, and inventory.On-Demand Webinar: Before You ReQuote It, Finding the Part You Already HaveEvery new part number carries cost long after release, from design and sourcing to tooling, inventory, and aftermarket support. Yet when an RFQ arrives, engineers and estimators often can't find the similar part they already designed, quoted, or tooled, so the work starts from scratch. In this SME Media webinar sponsored by CADDi, Jacob Elkin, Director of Solutions at CADDi, explains why past parts are so hard to find and demonstrates how similarity search in the CADDi AI Data Platform surfaces them.Nicholaus McKenna, Smart Factory Project Manager at TRUMPF, then joins for a fireside chat on how design reuse shows up on the shop floor, from automation to part consolidation.You'll Learn:<ul class=""><li class="">Where design reuse fits at each stage, from RFQ and design start through sourcing, tooling, and part release, and what one avoidable part number can cost over its lifetime</li><li class="">Why parts get indexed by customer name, part number, and folder instead of geometry, material, and features, and how similarity search closes that gap</li><li class="">How design reuse and modularity make parts easier to automate, cut tooling changeovers, and simplify purchasing and inventory</li></ul><h2 class="">Key takeaways</h2><ul class=""><li class="">Design reuse questions come up at five points between an RFQ and part release. Jacob Elkin walks through six steps, from the RFQ arriving to the part being released. At five of them, someone asks a reuse question. Estimating asks whether the part has been quoted before. Design start asks whether a template already exists. Sourcing asks whether something similar is already being bought. Tooling asks whether a fixture, jig, or tool already exists. Part release asks how the data and inventory will be managed over the product's life. Every unanswered question adds cost.</li><li class="">Parts are hard to find because of "a mismatch of the index, not of effort." Drawings and CAD are usually filed by customer name, part number, date, project folder, and document type. Estimators, engineers, and buyers need to search by what the part physically is: geometry, size, material, thickness, finish, tolerances, process, and who set the original cost and how. In a live poll during the session, the most common way engineers found past parts was asking the senior engineer who remembers.</li><li class="">One avoidable part number can cost tens of thousands of dollars over its life. In Jacob's illustrative example, a cast part bought at about $65, at about 25,000 units a year, over a life of about 23 years, carried about $35,000 in lifetime cost. That covers design, sourcing, tooling, and part release. Across a portfolio with 150 to 250 avoidable parts, the cost reaches the millions. Reusing an existing tool for a similar part cut piece price by about 6% in the example. Jacob called that conservative, citing typical benchmarks of 10% to 25%.</li><li class="">Similarity search follows four steps: ingest, extract, index, and rank. The CADDi AI Data Platform ingests 2D drawings, 3D CAD, and converted spreadsheets. It extracts attributes with an AI model CADDi developed when it was a parts manufacturer. It then indexes each part by geometry, part subcategory, and material preform, and ranks parts in order of similarity. Engineers still decide whether a match can be reused. A part may be the same geometry with a different hole pattern, a different revision, the same part made for a different customer, or the same part quoted differently.</li><li class="">On the shop floor, design reuse makes automation possible. Nicholaus McKenna of TRUMPF explains that suction cup and magnet automation has fixed profiles, so scattered hole patterns and complex louvers can force gripper changeovers. Standardizing part profiles avoids that. Consolidating from 10 bolt sizes to two simplifies design, purchasing, and factory inventory. In one redesign, a bracket made from four laser cut and welded pieces became a single laser cut part with six bends, removing about four process steps.</li></ul><h2 class="">Chapters</h2><ul class=""><li class="">00:04 Welcome, speakers, and agenda</li><li class="">05:18 The cost of designing a part twice</li><li class="">10:19 Where design reuse belongs, from RFQ to part release</li><li class="">12:00 What one avoidable part number really costs</li><li class="">17:52 Why past parts are so hard to find</li><li class="">26:38 Search tools and how similarity search works</li><li class="">33:01 Live demo: similarity search in the CADDi AI Data Platform</li><li class="">37:20 Where design reuse pays off</li><li class="">39:05 Fireside chat with TRUMPF: design reuse on the shop floor</li><li class="">49:56 The future of fabricated parts and wrap up</li></ul><h2 class="">Meet the speakers</h2><h3 class="">Jacob Elkin</h3>Jacob Elkin, Director of Solutions, CADDi (<a href="https://www.linkedin.com/in/jacob-elkin/" rel="noopener noreferrer" target="_blank" class="">LinkedIn</a>)Jacob Elkin is Director of Solutions at CADDi. He started his career as a Product Development Engineer and has spent over a decade in manufacturing operations since. He spent nearly six years at McKinsey in product development and procurement, where he ran the Chicago Design Lab and led a team of 10+ engineers and data scientists, then digital manufacturing and strategy roles at Fast Radius, then a 100+ person engineering and operations organization at SyBridge Technologies, which builds injection tooling and additive parts for automotive, industrial, and medical customers. He holds a BS in nuclear engineering from Purdue.<h3 class="">Nicholaus McKenna</h3>Nicholaus McKenna, Smart Factory Project Manager, TRUMPF (<a href="https://www.linkedin.com/in/nicholaus-o-mckenna-6b248887/" rel="noopener noreferrer" target="_blank" class="">LinkedIn</a>)Nick is a Smart Factory Project Manager at TRUMPF, the world's technological and market leader in machine tools for flexible sheet metal processing and industrial laser technology. In this role, he leads Smart Factory installations from purchase order through site acceptance testing. His role requires a deep understanding of each customer's parts, designs, and production processes, insight he uses to align system configuration and automation technology with how the factory actually operates. Before TRUMPF, he worked as a Design Engineer and Design-to-Value Specialist at McKinsey &amp; Company, where he conducted cost and design analyses on industrial and commercial products to reduce manufacturing cost and increase competitive value, work directly rooted in the principles of design reuse and standardization.<h2 class="">Frequently asked questions</h2><h3 class="">Why is it so hard for engineers to find parts they have already designed?</h3>Jacob Elkin calls it "a mismatch of the index, not of effort." Drawings and CAD are usually filed by customer name, part number, date, and project folder. What estimators, engineers, and buyers need is the physical part: its geometry, size, material, thickness, finish, tolerances, and process. File formats add to the problem. Scanned TIFFs and vendor prints carry no searchable data, so a PLM search or a call to a senior engineer often comes up short.<h3 class="">What does one avoidable part number cost a manufacturer?</h3>Speaking about a moderate complexity assembly costing $50 to $100, Jacob said the lifetime total is often greater than $30,000. In his illustrative example, a cast part bought at about $65, at about 25,000 units a year, over a life of about 23 years, carried about $35,000 in lifetime cost. That covers design, sourcing, tooling, and part release. Across 150 to 250 avoidable parts in a portfolio, the cost reaches the millions.<h3 class="">What counts as a "similar part" in similarity search?</h3>Similarity search in the CADDi AI Data Platform compares parts by geometry, part subcategory, and material preform, and ranks them in order of similarity. Jacob noted that "similar" can mean several things: the same geometry with a different hole pattern, the same part in a different revision, the same part made for a different customer, or the same part quoted differently. The tool doesn't approve reuse. Engineers do.<h3 class="">How does design reuse affect manufacturing automation?</h3>Nicholaus McKenna of TRUMPF explained that sheet metal automation often uses suction cups or magnets with fixed profiles. Very different designs, scattered hole patterns, or complex louvers can stop the automation from picking up parts. Modular designs across a part portfolio save time and tooling, because teams don't have to swap grippers or move from suction cups to magnets.<h3 class="">Is design reuse only worth it for large manufacturers?</h3>No. Nick said smaller job shops generally have little reuse but are great candidates for automation, while larger companies with higher part throughput are generally more ready for it. Either way, reviewing the part portfolio pays off. That can mean combining features like holes, threading, and chamfers, or consolidating fasteners, for example from 10 bolt sizes down to two. Jacob summed up that design reuse and automation are good for every size of company.<h2 class="">Related resources</h2><ul class=""><li class=""><a href="https://caddi.com/en-us/platform/" rel="noopener noreferrer" target="_blank" class="">CADDi AI Data Platform</a></li><li class=""><a href="https://caddi.com/en-us/resources/insights/drawing-image-search/" rel="noopener noreferrer" target="_blank" class="">Drawing image search</a></li><li class=""><a href="https://caddi.com/en-us/resources/insights/design-standardization/" rel="noopener noreferrer" target="_blank" class="">Design standardization</a></li><li class=""><a href="https://caddi.com/en-us/resources/insights/fastener-consolidation/" rel="noopener noreferrer" target="_blank" class="">Fastener consolidation</a></li><li class=""><a href="https://caddi.com/en-us/resources/insights/parts-proliferation-the-junk-drawer-of-manufacturing-chaos/" rel="noopener noreferrer" target="_blank" class="">Parts proliferation</a></li><li class=""><a href="https://caddi.com/en-us/resources/webinar/the-hidden-cost-of-slow-quotes-in-metal-fabrication/" rel="noopener noreferrer" target="_blank" class="">The Hidden Cost of Slow Quotes webinar</a></li><li class=""><a href="https://caddi.com/en-us/resources/webinar/from-tribal-knowledge-to-ai-advantage/" rel="noopener noreferrer" target="_blank" class="">From Tribal Knowledge to AI Advantage webinar</a></li><li class=""><a href="https://caddi.com/en-us/case-studies/amerequip/" rel="noopener noreferrer" target="_blank" class="">Amerequip case study</a></li></ul><a href="https://caddi.com/en-us/demo-request/" rel="noopener noreferrer" target="_blank" class="">Request a demo</a><a href="https://caddi.com/en-us/resources/webinar/" rel="noopener noreferrer" target="_blank" class="">Explore more on-demand webinars</a>

Where design reuse fits at each stage, from RFQ and design start through sourcing, tooling, and part release, and what one avoidable part number can cost over its lifetime

Why parts get indexed by customer name, part number, and folder instead of geometry, material, and features, and how similarity search closes that gap

How design reuse and modularity make parts easier to automate, cut tooling changeovers, and simplify purchasing and inventory

Nicholaus McKenna

Before You ReQuote It: Finding the Part You Already Have

Dark blue cover graphic for Manufacturing Document Management, Procurement 101, with glowing document and folder icons wired into a circuit board pattern

Without effective document management methods, manufacturers, regardless of size, face numerous risks. Consequences include lost documents leading to production delays, non-compliance with regulations resulting in fines or legal issues, inefficiency due to time wasted searching for documents and lack of knowledge sharing, and compromised performance in cost and quality.Did inadequate document management lead to:<ul><li>Misalignment with suppliers and stakeholders,</li><li>Unforeseen issues arising later,</li><li>Significant time spent searching for specific documents,</li><li>Substantial rework or production errors,</li><li>Challenges in onboarding new team members,</li></ul>and similar occurrences?These challenges can severely impact the bottom line, hamper growth, and even jeopardize the survival of the business. Effective document management is crucial for avoiding such pitfalls, enabling even smaller manufacturers to compete more effectively in the market by improving operational efficiency and compliance.Consider, for instance, the aerospace sector, where Boeing reported a staggering $25 billion in deferred production costs due to documentation and production inefficiencies with its 787 Dreamliner. On the flip side, Airbus’s adoption of a unified document management system streamlined its operations across 150 sites, leading to a significant reduction in production delays and a more agile response to market demands. These examples underscore the tangible impact of robust document management on a company’s bottom line and its ability to meet stringent regulatory standards.The competitiveness gap stemming from such document management issues is not exclusive to mega-corporations like Boeing or Airbus. It’s a phenomenon widely observed across the entire manufacturing industry, from industry leaders to SMBs.

Here’s an overview of specific types of documents that should be managed effectively<ul><li>Product Design and Engineering Documents: This includes all documents related to product design, engineering drawings, specifications, and blueprints. Managing these documents effectively ensures that all stakeholders have access to the most current and accurate design information.</li><li>Bill of Materials (BOM): The BOM is a comprehensive list of materials, components, and assemblies needed to manufacture a product. It must be meticulously managed to ensure accurate procurement, inventory management, and cost estimation.</li><li>Quality Control Documents: These documents include quality manuals, standard operating procedures (SOPs), inspection reports, and test results. They are essential for maintaining compliance with quality standards and regulatory requirements.</li><li>Compliance and Certification Documents: For manufacturers, compliance with industry standards and regulations is non-negotiable. This requires the management of certification documents, compliance reports, and audit findings.</li><li>Production Scheduling and Control Documents: Effective production planning and control rely on the management of production schedules, work orders, and production reports to ensure timely and efficient manufacturing processes.</li><li>Safety and Training Manuals: Safety manuals and training documents are critical for ensuring a safe working environment and for complying with occupational health and safety regulations.</li><li>Procurement and Supplier Documents: This category includes purchase orders, supplier contracts, and supplier quality assessments. Proper management of these documents is vital for streamlining the procurement process and maintaining strong supplier relationships.</li><li>Inventory Documents: Inventory records, stock levels, and warehouse management documents are crucial for optimizing inventory control and reducing carrying costs.</li><li>Shipping and Receiving Documents: Shipping labels, packing lists, and receiving reports must be managed to ensure accuracy in order fulfillment and inventory management.</li><li>Maintenance Records: For manufacturing equipment, maintaining a log of maintenance schedules, service reports, and repair records is essential for minimizing downtime and extending the lifespan of the machinery.</li><li>Customer Orders and Feedback: Managing customer purchase orders, feedback, and service records is essential for ensuring customer satisfaction and for driving improvements in product quality and service delivery.</li><li>Project Management Documents: In the context of plant engineering and large manufacturing projects, document controllers play a critical role in managing project plans, progress reports, and stakeholder communications.</li></ul>

There are multiple operations critical for ensuring the system’s effectiveness and efficiency. These operations encompass a range of activities designed to manage documents through their lifecycle, from creation to disposal. Here’s an overview of the essential operations required in manufacturing document management:<ol><li>Document Creation and Capture: This involves generating new documents and capturing external documents. It can include the use of templates for consistency and scanning or digitizing paper documents to bring them into the digital document management system.</li><li>Indexing and Classification: Once documents are created or captured, they need to be indexed and classified according to a predefined taxonomy. This step is crucial for organizing documents in a manner that makes them easily retrievable.</li><li>Storage and Preservation: Secure storage of documents, whether digital or physical, is essential. This operation includes ensuring that digital documents are saved in formats that are not prone to obsolescence and that physical documents are stored in conditions that prevent deterioration.</li><li>Access Control: Defining who has access to what documents is a critical operation. This includes setting permissions based on roles within the organization to ensure that sensitive information is only accessible to authorized personnel.</li><li>Version Control: In manufacturing, where revisions to documents such as design drawings, specifications, and SOPs are common, maintaining version control is essential. This operation ensures that everyone is working from the most current version of a document.</li><li>Review and Approval Processes: Many documents, especially those related to quality control and compliance, require formal review and approval before they become official. Setting up workflows that manage these processes is a vital operation.</li><li>Distribution and Sharing: Documents often need to be shared both internally among team members and externally with suppliers, customers, or regulatory bodies. Efficient distribution mechanisms and sharing protocols are essential operations to ensure that information flows smoothly and securely.</li><li>Retrieval and Search: The ability to quickly find and retrieve documents is one of the primary benefits of a document management system. Operations must ensure that search functionality is robust, using metadata, tags, and full-text search capabilities.</li><li>Archiving and Disposal: Over time, some documents may no longer be active but still need to be retained for historical reference or regulatory compliance. Archiving operations ensure these documents are stored securely but are still accessible if needed. Conversely, the disposal operation involves securely destroying or deleting documents that are no longer needed and have no legal or historical value.</li><li>Compliance Management: Ensuring that document management practices comply with industry regulations and standards is a continuous operation. This includes managing records retention schedules, audit trails, and compliance reporting.</li><li>Disaster Recovery: Planning for the unexpected, such as natural disasters or data breaches, involves establishing and maintaining disaster recovery operations. This ensures that documents are protected and can be recovered to maintain business continuity.</li></ol>Each of these operations requires careful planning, execution, and ongoing management to ensure that the manufacturing document management supports the organization’s goals for efficiency, compliance, and quality management.

In the plant engineering industry, it’s quite typical to hire document controllers who play a pivotal role in project management, ensuring that all documentation is accurate, up-to-date, and accessible.This kind of role is equally critical in the manufacturing sector, where document management specialists ensure the smooth flow of information, maintain compliance with industry standards and regulations, and support the decision-making process. They are instrumental in implementing and maintaining document management systems, training staff, and ensuring that document-related practices align with organizational goals and industry best practices.Document management specialists certainly perform the aforementioned document management operations themselves. However, it is impossible for them alone to manage the vast amount and variety of documents at every step.What’s more important is to establish a mechanism that ensures proper document management is carried out throughout the organization, even without their direct involvement. This is where the true skill of document management specialists can be said to shine.

This is where a document management system (DMS) becomes essential. Implementing a DMS is a strategic move that requires careful planning and execution. It’s not just about going paperless; it’s about choosing a system that integrates seamlessly with existing workflows, enhances collaboration, and ensures compliance with industry regulations.The journey begins with a comprehensive assessment of current document-related processes to identify inefficiencies and areas for improvement. Following this, selecting a DMS that aligns with the organization’s specific needs is crucial.Training and user adoption are critical to the success of DMS implementation. For instance, Lockheed Martin, a global aerospace, defense, security, and advanced technologies company, attributed its successful DMS implementation to extensive employee training programs and the involvement of end-users in the selection process. This approach not only facilitated a smoother transition to the new system but also ensured that the DMS was utilized to its full potential across the organization.Ongoing evaluation and improvement are the final steps in the journey. Continuous monitoring of the DMS’s performance against predefined metrics allows for timely adjustments and optimizations. Regular feedback from users further informs the evolution of the system, ensuring it remains responsive to the changing needs of the business.

The procurement process in manufacturing is a complex orchestration of selecting suppliers, managing purchase orders, and processing invoices. Effective document management plays a critical role in optimizing these operations, leading to significant cost savings and enhanced supplier relationships.For example, Siemens AG implemented a digital document management solution that streamlined its procurement workflow, resulting in a 20% reduction in procurement cycle times and a substantial improvement in supplier collaboration. The system allowed for real-time tracking of documents, automated approval processes, and centralized storage, which not only expedited procurement operations but also enhanced transparency and accountability.

<a href="https://caddi.com/en-us/platform/caddi-explorer/" rel="noopener noreferrer" target="_blank">Explorer</a> is one of the systems that can significantly enhance document management, offering unique value propositions distinct from typical document management specialist tools.<h3>Transforms documents and drawings into searchable info</h3>Explorer transforms documents and drawings into searchable information by automatically and comprehensively reading text across them. Its OCR is applicable not only to drawings but also to general documents and spec sheets. This feature enables the consolidated management and cross-sectional search of drawings and other documents together, without the need to separate them. There’s no longer a need to search through various systems or folders.<img src="https://cdn.builder.io/o/assets%2F209ee507cedf4c298e100edae4bba2df%2F574c4f2b490b4383bb7ff7374005c016?alt=media&amp;token=a1d49685-c6d1-4087-9ff7-97f640e6daaa&amp;apiKey=209ee507cedf4c298e100edae4bba2df" alt="CADDi Drawer document viewer showing a keyword search for &#x27;substances&#x27;, with matching text highlighted in yellow on a PDF page and an Extracted text panel on the right"><h3>Streamline activities in the procurement process</h3>The following features enable you to streamline the time-consuming tasks of data collection and document organization in procurement operations.<ul><li>Price data, supplier information and relevant documents such as specification documents, quality reports and work instructions can be automatically linked to each drawing and can also be exported together.</li><li>By using keyword searches combined with similarity searches, the time spent searching for drawings, data and documents in procurement tasks can be reduced.</li></ul><img src="https://cdn.builder.io/o/assets%2F209ee507cedf4c298e100edae4bba2df%2F771d152c816742fd9d0b739f44392fe0?alt=media&amp;token=2013a0e9-31fd-4486-80fa-8cb872c903b6&amp;apiKey=209ee507cedf4c298e100edae4bba2df" alt="CADDi Drawer screenshot: a keyword search for &quot;bearing&quot; returns a list of engineering drawings, with a selected drawing open in the viewer and a side panel showing extracted data such as drawing ID, material, part name, customer, and purchase order details.">

Procurement 101: Manufacturing Document Management – Why it matters and how to excel

DFM revolves around six main principles: process, design, material, environment, and compliance. Understanding and applying these principles effectively can lead to successful outcomes in manufacturing.Tolerances: One of the most critical aspects of DFM is the specification of tolerances. The geometric tolerance required for a component directly influences its manufacturing cost. For example, specifying tighter tolerances than necessary can lead to increased costs due to the precision required in the manufacturing process. A practical approach is to specify the loosest tolerance that will still meet the functional requirements of the component, thereby minimizing unnecessary manufacturing costs without compromising product quality​​.Process: The choice of manufacturing process is foundational in DFM. For instance, injection molding is ideal for producing high volumes of a part, while 3D printing technologies like Multi-Jet Fusion or Selective Laser Sintering are better suited for low-volume, highly detailed parts. The manufacturing process impacts the final cost and efficiency, making it essential to choose the right one based on the part’s quantity, properties, and required materials.Design: The design phase must consider the chosen manufacturing process’s specifics, such as wall thickness, surface details, and transitions. DFM advocates for simplicity to minimize complexity and risk, although not all designs can be simplified. The right design software, tailored to the specific manufacturing technology, is crucial to avoid errors and ensure the part’s success.Material: Selecting the appropriate material depends on the final part’s application and required properties, such as heat resistance, water resistance, strength, and flexibility. The material choice is a critical factor that influences the part’s functionality and durability.Environment: The environment in which the final product will be used also affects the design. Parts used in industrial settings might need to withstand more stress or force compared to those used in office environments. Designers must consider the operational environment to ensure the part’s longevity and performance.Compliance and Testing: Parts may need to adhere to industry-specific, internal, or third-party standards, especially if they are used in regulated environments (e.g., food-safe standards). Planning for compliance and testing is essential to meet these standards during the DFM process.

Examples of DFM applications include the following cases.Of course, it should be noted that the perspectives mentioned here are merely a part of the considerations for each manufacturing process, and there are many other factors that should also be taken into account.<h3>Injection Molding</h3><ul><li>Uniform Wall Thickness: Essential for preventing defects such as warping, sink marks, or incomplete filling. Uniform thickness ensures even cooling and solidification, which is crucial for the structural integrity and aesthetic quality of the part.</li><li>Simplicity of Design: Simplifying the design can significantly reduce costs and manufacturing time. Complex designs may require more sophisticated and expensive molds, increasing both the initial investment and the risk of production issues.</li><li>Draft Angles: Including draft angles in the design makes it easier to eject the part from the mold, reducing the risk of damage and improving the efficiency of the manufacturing process.</li></ul><h3>3D Printing</h3><ul><li>Complex Geometries Without Tooling: One of the major advantages of 3D printing is its ability to produce complex shapes that would be difficult, expensive, or impossible with traditional manufacturing methods. This allows for greater design freedom without the need for expensive tooling.</li><li>Material and Detail Resolution: The choice of material and the printer’s resolution can greatly affect both the functionality and the aesthetic of the part. Different materials and printing technologies offer varying levels of detail, strength, flexibility, and temperature resistance.</li><li>Orientation and Support Structures: The orientation of the part during printing and the use of support structures can influence the surface finish, strength, and the amount of post-processing required. Strategic design can minimize the need for supports and optimize the part’s performance.</li></ul><h3>Sheet Metal Fabrication</h3><ul><li>Bend Radius and Material Thickness: Knowledge of the specific material’s properties is crucial, as it affects how the material can be bent or formed. Designing with appropriate bend radii and material thickness ensures that parts can be manufactured without cracking or deforming.</li><li>Corner Designs: Efficient designs incorporate features that accommodate the fabrication process, such as specifying corner reliefs to prevent tearing during bending.</li><li>Efficient Use of Material: Designing parts to fit within standard sheet sizes or to nest within each other’s outlines can reduce waste and lower material costs.</li></ul>

Implementing DFM effectively involves several strategic steps, each designed to integrate manufacturing considerations early in the product design phase:Early Incorporation of DFM Analysis: The sooner DFM analysis is applied in the design process, the greater the opportunity to make impactful changes. This early integration is crucial for addressing manufacturing and sustainability considerations before the commencement of tooling, thereby unlocking all potential benefits of DFM.CAD-based software could play a key role here, offering the ability to forecast part quality and performance through finite element analysis (FEA). This capability helps to refine the design process from the start, guaranteeing that designs are primed for manufacturing efficiency.Manufacturing Cost Modeling: Beyond the design and material considerations, DFM also involves a comprehensive analysis of the product’s cost structure, taking into account aspects such as labor, overhead, material utilization, and scrap. In this modeling, the concept of should-cost analysis can be applied.Design of Experiments (DOE) and Value Engineering (VE): DOE is a statistical method that analyzes the impact of multiple variables on an outcome, allowing for the efficient assessment of different combinations of parts and materials.VE focuses on maximizing the functionality of components while minimizing production costs by assessing the potential for substituting materials or parts with more cost-effective alternatives without sacrificing quality.These methodologies are instrumental in achieving the highest quality product at the lowest possible cost​​.Cooperative Product Development: A collaborative approach between designers and manufacturers can significantly enhance the manufacturability of new products. This cooperation is particularly vital when manufacturing is outsourced, necessitating a seamless collaboration between the company and its suppliers.This type of collaboration is underscored by the success stories of companies like Rafael, an Israeli aerospace company, which reduced costs and improved sourcing by using digital manufacturing simulation software for DFM analyses​​.

The implementation and execution of Design for Manufacturing (DFM) come with several challenges that make it not straightforward. Understanding these challenges is crucial for companies aiming to leverage DFM for improved efficiency, reduced costs, and enhanced product quality. Here are some of the key challenges:Integration of DFM into existing processes: Many companies have well-established product development processes that may not initially accommodate DFM principles. Integrating DFM requires significant changes to these processes, which can be met with resistance or logistical difficulties.Cross-departmental collaboration: DFM necessitates close collaboration between the design team, manufacturing engineers, and sometimes external suppliers. Establishing effective communication and collaboration channels between departments that traditionally work in silos can be challenging. This collaboration is essential to ensure that design changes are feasible from a manufacturing perspective and do not compromise the product’s functionality or quality.Lack of expertise and training: DFM principles require a specific set of skills and knowledge, including a deep understanding of manufacturing processes and cost drivers. Companies may face challenges due to a lack of in-house expertise in DFM and the need for comprehensive training programs to bring staff up to speed.Cost and time constraints: Initial implementation of DFM can be seen as adding extra time and costs to the product development cycle, especially in the short term. Organizations may find it difficult to justify these initial investments, particularly if the long-term benefits of DFM are not immediately apparent or difficult to quantify.Technology and software integration: Effective DFM implementation often relies on advanced software tools for simulation, cost estimation, and collaboration. Selecting the right tools, integrating them into existing systems, and training staff to use them effectively can be complex and resource-intensive.Cultural shift: Adopting DFM often requires a cultural shift within an organization, moving from a focus solely on design or manufacturing to a more holistic approach to product development. Changing organizational culture and mindset to embrace DFM principles fully can be a slow and challenging process.Addressing these challenges requires a committed effort from all levels of an organization, from executive leadership to design and manufacturing teams. Successful implementation of DFM hinges on clear communication, comprehensive training, and a commitment to overcoming the initial hurdles in pursuit of long-term efficiency and cost savings.

<a href="https://caddi.com/en-us/platform/caddi-explorer/" rel="noopener noreferrer" target="_blank">Explorer</a> represents a cutting-edge solution designed to enhance the DFM process. By facilitating seamless integration across all stakeholders in the design, engineering, procurement and manufacturing processes, Explorer helps companies overcome common challenges in the DFM approaches.By leveraging Explorer, it’s possible to utilize the following features and achieve corresponding effects such as:<h3>Streamline activities in the engineering process</h3>The following features enable you to streamline the time-consuming tasks of data collection and organization for design and engineering.<ul><li>Price data and supplier information can be automatically linked to each drawing and can also be exported together.</li><li>By using keyword searches combined with similarity searches, the time spent searching for drawings and relevant data related to design, manufacturing and purchasing can be reduced.</li></ul><img src="https://cdn.builder.io/o/assets%2F209ee507cedf4c298e100edae4bba2df%2F3c3f466b069747c3b92e73ae8cd521c1?alt=media&amp;token=e4a432d0-86c9-4a87-a239-04c915b48b0c&amp;apiKey=209ee507cedf4c298e100edae4bba2df" alt="CADDi Drawer screenshot of a sheet-metal part drawing with a basic info panel showing material, surface treatment, customer, and linked purchase order price and cost data"><h3>Enhancing collaboration and leveraging knowledge across the company</h3>By using Explorer, it becomes possible to consolidate drawings, information extracted from drawings, purchasing data, and specifications and manufacturing-related documents, such as processing instructions, into a single platform. It can then be easily accessed by all departments.The similarity search feature also enables referencing insights applied by experienced engineers on drawings with similar characteristics, as well as accessing manufacturing information and cost breakdowns.This consolidation forms the foundation for the essential collaboration between engineering, procurement, and manufacturing departments required for the application of DFM. This is something that cannot be easily achieved with standard drawing management systems or PDM/PLM software.<img src="https://cdn.builder.io/o/assets%2F209ee507cedf4c298e100edae4bba2df%2F2b1398d0fa4b49b3b746dffd036ab32d?alt=media&amp;token=ae552736-94b2-47b6-ace6-0c285d2a61c3&amp;apiKey=209ee507cedf4c298e100edae4bba2df" alt="Screenshot of CADDi Drawer comparing two sheet metal drawings side by side, filtered by the tag &quot;Sheet Metal,&quot; with Basic info fields (drawing number, surface treatment, material, customer, estimated maximum dimension) and Purchase Orders below each, and thumbnail lists of related drawings in the side panels.">Manufacturers of industrial machinery and equipment, such as Ebara, are actually utilizing these features of Explorer to successfully initiate and enhance DFM.<a href="https://caddi.com/en-us/drawer/case-studies/ebara/" rel="noopener noreferrer" target="_blank">Ebara Corporation: From “Drawing Management” to “Drawing Utilization”: Leveraging Buried Data for Optimal Procurement</a>

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