Podcast
Questions and Answers
Within the context of Designing for Manufacturing (DFM), which statement presents the most comprehensive understanding of 'manufacturability'?
Within the context of Designing for Manufacturing (DFM), which statement presents the most comprehensive understanding of 'manufacturability'?
- The exclusive reliance on readily available materials to minimize supply-chain disruptions during manufacturing.
- The inherent potential of a product's design to be aesthetically pleasing to the end consumer.
- The degree to which a product can be produced using only automated assembly processes.
- The degree to which an organization can produce a product at an acceptable profit margin, considering ease of assembly, cost, productivity, and quality. (correct)
When employing Quality Function Deployment (QFD) in product design, what constitutes the most critical initial step in translating customer desires into concrete design specifications?
When employing Quality Function Deployment (QFD) in product design, what constitutes the most critical initial step in translating customer desires into concrete design specifications?
- Eliciting and prioritizing customer needs, often referred to as the 'voice of the customer,' through rigorous market research. (correct)
- Benchmarking competitor products to identify areas for immediate improvement.
- Performing a detailed cost-benefit analysis of each potential design feature.
- Establishing a cross-functional team comprised of marketing, engineering, and manufacturing representatives.
Considering the trade-offs inherent in standardization, under what circumstances would adopting a modular design strategy present the least advantageous option for a manufacturer of complex electromechanical systems?
Considering the trade-offs inherent in standardization, under what circumstances would adopting a modular design strategy present the least advantageous option for a manufacturer of complex electromechanical systems?
- When the company aims to leverage economies of scale through mass production of highly uniform components.
- When the primary competitive differentiator is radical innovation, demanding frequent and substantial design alterations. (correct)
- When the product architecture necessitates high degrees of customization to meet diverse customer specifications efficiently.
- When the company wants to reduce complexity in manufacturing and inventory management.
In the context of service design, what is the most crucial distinction between 'explicit' and 'implicit' services within a service package, and how does this distinction impact customer perception?
In the context of service design, what is the most crucial distinction between 'explicit' and 'implicit' services within a service package, and how does this distinction impact customer perception?
What strategic rationale most effectively justifies a firm's decision to engage in 'reverse engineering' of a competitor's product, within the framework of product and service design?
What strategic rationale most effectively justifies a firm's decision to engage in 'reverse engineering' of a competitor's product, within the framework of product and service design?
Given the inherent uncertainties in forecasting, how do short-range versus long-range forecasts typically differ in accuracy and what strategies can mitigate the challenges of long-range predictions?
Given the inherent uncertainties in forecasting, how do short-range versus long-range forecasts typically differ in accuracy and what strategies can mitigate the challenges of long-range predictions?
When evaluating the 'economic' factors that instigate the need for product or service redesign, which of the following scenarios would most likely prompt a comprehensive value analysis?
When evaluating the 'economic' factors that instigate the need for product or service redesign, which of the following scenarios would most likely prompt a comprehensive value analysis?
What is the most significant implication of the Uniform Commercial Code (UCC) regarding product liability, and how does it influence product design and manufacturing decisions?
What is the most significant implication of the Uniform Commercial Code (UCC) regarding product liability, and how does it influence product design and manufacturing decisions?
In the context of Taguchi's Robust Design methodology, what is the central premise concerning the management of environmental factors, and how does 'parameter design' contribute to this premise?
In the context of Taguchi's Robust Design methodology, what is the central premise concerning the management of environmental factors, and how does 'parameter design' contribute to this premise?
How does concurrent engineering most significantly enhance the efficiency and effectiveness of product design, in contrast to traditional sequential design processes?
How does concurrent engineering most significantly enhance the efficiency and effectiveness of product design, in contrast to traditional sequential design processes?
What critical element determines the degree to which a new product integrates sustainability through Design for Disassembly (DFD) principles?
What critical element determines the degree to which a new product integrates sustainability through Design for Disassembly (DFD) principles?
Given that 'forecasts for groups of items tend to be more accurate than forecasts for individual items', what statistical principle underlies this phenomenon, and how can businesses leverage it?
Given that 'forecasts for groups of items tend to be more accurate than forecasts for individual items', what statistical principle underlies this phenomenon, and how can businesses leverage it?
When historical sales data exhibits both trend and seasonality, what advanced time-series decomposition technique is warranted to provide the most accurate sales forecast?
When historical sales data exhibits both trend and seasonality, what advanced time-series decomposition technique is warranted to provide the most accurate sales forecast?
In practice, what is the best example of a Delphi method use in a supply chain management context?
In practice, what is the best example of a Delphi method use in a supply chain management context?
How should a firm implement new technology within Design Process to be future oriented by avoiding ethical and legal missteps?
How should a firm implement new technology within Design Process to be future oriented by avoiding ethical and legal missteps?
How can a robust product design using the Taguchi approach help improve the company as a whole, especially when external factors are at play?
How can a robust product design using the Taguchi approach help improve the company as a whole, especially when external factors are at play?
What is the most important thing to consider when choosing a technique to forecast effectively?
What is the most important thing to consider when choosing a technique to forecast effectively?
What is the primary way an organization can ensure the correct design that satisfies customers?
What is the primary way an organization can ensure the correct design that satisfies customers?
How does modular design increase an organization's advantages pertaining to product standardization?
How does modular design increase an organization's advantages pertaining to product standardization?
Flashcards
Product and Service Design
Product and Service Design
Meeting customer needs by understanding their desires and turning them into product features.
Refinement
Refinement
Improving existing products or services to maintain quality and relevance.
Innovation
Innovation
Creating new products/services to stay competitive; vital for market growth.
Formulate Cost Targets
Formulate Cost Targets
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Construct and Test Prototypes
Construct and Test Prototypes
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Document Specifications
Document Specifications
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Process Specifications
Process Specifications
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Designing for Manufacturing (DFM)
Designing for Manufacturing (DFM)
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Manufacturability
Manufacturability
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Serviceability
Serviceability
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Designing For Operations
Designing For Operations
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Reverse Engineering
Reverse Engineering
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Reliability
Reliability
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Introduction / Incubation
Introduction / Incubation
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Growth
Growth
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Maturity
Maturity
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Saturation
Saturation
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Decline
Decline
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Robust Design
Robust Design
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Concurrent Engineering
Concurrent Engineering
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Study Notes
Product and Service Design
- This aims to satisfy customers while maintaining reasonable profit margins.
- It involves redesigning existing products or services.
- Aligns with the organisation's overall strategy.
- The core of any business relies on products or services
- Everything from structure to operation and supply chain works together to effectively deliver products and services
- A well-designed product meets strategic goals like profitability, market leadership, and customer loyalty.
- Good design improves quality, reduces costs, speeds up delivery, and enhances customer satisfaction.
- Poor design leads to failures, recalls, legal issues, and reputational damage.
- It's important to carefully plan and integrate product and service design into the business' overall plans.
Functions of Product and Service Design
- Meeting customer needs by understanding their desired features.
- Refining existing products or services to elevate and sustain quality.
- Innovating by creating new, competitive products or services.
- Setting quality standards to meet defined customer expectations.
- Planning budgets to ensure affordability and balance profitability.
- Early testing of product versions to detect and resolve issues.
- Creating detailed guidelines for how a product should be manufactured.
- Defining efficient processes for production of goods and services.
- Businesses adapt to market changes by designing or redesigning goods
Factors Influencing Design Changes
- Economic Factors: include reduced demand, high warranty claims, or requirements for cost-cutting.
- Social/Demographic Shifts: consider aging populations or changing segments within consumer groups.
- Political/Legal Factors: address new laws, safety concerns, and government policies.
- Competitive Pressures: address new products and marketing strategies from rival companies.
- Cost/Availability Concerns: acknowledge fluctuations in raw materials, labor, or energy supply.
- Technological Advances: factor improved product features or methods in production.
Design for Manufacturing (DFM)
- DFM involves considering manufacturing capabilities during product design.
- Key questions to address in DFM include:
- Is there market demand for this product?
- Can we manufacture it efficiently?
- What level of quality is appropriate?
- Does it make financial sense from a production standpoint?
Manufacturability
- This refers to an organization's capability to produce items at an acceptable profit.
- It focuses on the ease of production and assembly:
- Cost: Easier production reduces operational expenses.
- Productivity: Streamlined designs boost manufacturing speed.
- Quality: Products with good design tend to have fewer defects.
- Serviceability is the ability to provide a service at an acceptable cost or profit.
Design for Operations
- This is a broader term than DFM that includes product and service design
- Overlooking the details can:
- Reduce productivity.
- Lower overall quality.
- Increase operational costs
The Design Process
- Motivation: Achieves goals of organization
- Designs align with company objectives and product/process applications, react to competitive and customer needs and new technologies
- Customer input is the primary driver for product and service design.
Sources for New Ideas
- Marketing: Uses insights from focus groups, surveys, and analyses of buying patterns.
- Competitors: Uses reverse engineering and closely studies rival products. This involves dismantling and analysing competitor products.
- Capabilities: Manages production needs, equipment, skills, materials, schedules and tech, and management must plan any changes.
- Forecast: Involves predicting future demand and market trends
Regulations and Legal Considerations
- Liabilities: Manufacturers are accountable for injuries or damages caused by product defects
- Uniform Commercial Code: Products comply with standards of merchantability and fitness. They must be safe, work as expected, and fit their intended use.
Ethical Considerations
- Address human factors by ensuring products are safe and easy to use.
- Consider cultural factors to meet local preferences across global markets. Global teams improve product design.
- Balance environmental factors by implementing reduce, reuse, and recycle where possible.
- Value analysis seeks to examine components to reduce costs and improve performance.
- Remanufacturing refurbishes old products, cutting waste and costs.
Environmental Factors
- Design for disassembly helps in easier part separation for recycling or reuse.
- Recycle recovers materials for future use and complies with environmental protection.
- Design for recycling design enables easy recovery of materials from used items.
Cradle-to-Grave Assessment
- This measures a product's environmental impact throughout its life. This helps determine the least environmentally damaging services taking into account economic factors
- End-of-life programs manage products that have completed their useful life.
Research and Development (R&D)
- R&D consists of activities to enhance knowledge and product innovation:
- Basic Research: Progresses subject knowledge without immediate commercial use
- Applied Research: Focuses on practical business applications for commercial applications.
- Development: Turns research into marketable products
Standardization
- Standardization minimizes product variety and ensures availability.
- Mass customization involves customizing standardized goods with a degree of flexibility for the customer.
- Delayed differentiation involves starting a product witholding completion until customer preference input is received
Modular Design
- This involves easily interchangeable component parts as modules by designing separate, interchangeable parts for customization and easy upgrades. Benefits include:
- Easier failures/remedies, repair and assembly
- Easier repair and replacement
- Simplified manufacturing and assembly
Advantages of Standardization
- Fewer parts to manage in inventory and manufacturing
- Lower design costs
- Reduces time and cost for training
- Fulfullable orders from inventory
- Routine Purchasing
- Consistent quality
- Automation opportunities
Disadvantages of Standardization
- Freezes design keeping imperfections
- High cost of changes discourages improvements
- Reduces consumer appeal
Realibilty and Failure
- Reliability ensures products performs under specific conditions.
- Failure occurs when a product does not perform as designed.
- Normal operating conditions refers to standard conditions for reliability
Product Life Cycle Stages
- Introduction/Incubation: Product has low adoption and high performance with technology
- Growth: More customers use product, demand is high, and companies enhance designs
- Maturity: Wide availability of the product from multiple suppliers, high competition.
- Saturation: Market growth slows as most have already bought, few designs introduced
- Decline: Demand and suppliers decrease
Robust Design
- Ensures adaptability of products/services over a broad range of conditions
- Taguchi's Approach: It is easier to design a product insensitive to environmental factors than control these factors
- Central feature is Parameter Design.
Concurrent Engineering
- This is the integration of engineering design and production personnel early in the designphase.
Computer-Aided Design (CAD)
- Utilizes product design with graphics which increases designer prodctictivity and creates a database for manufacturing info/cost anlysis
Service Design
- Service Definition: Something is done to or for a customer.
- Service Delivery involves facilities, processes, and required skills.
- Product Bundle combines goods and services for customer value.
- Service Package includes resources, goods consumed and services to directly benefit customer.
Differences Between Product and Service Design
- Tangibility: Products are tangible while services aren't
- Timing: Services are created and delivered simultaneously.
- Inventory: Services cannot be stored.
- Visibility: Services depend on customer interaction
- Location: Location important to service
- Range: System service varies amongst each other.
Design Guidelines
- Theme: Focuses on main goals like convenience or speed.
- Demand: System variability ensures adaptability.
- Reliability and quality: Include checks and designs.
- Accessibility: System must be user-friendly.
Service Blueprinting
- A method to describe and analyize services based on their deliverance
Steps in Service Blueprinting
- Establish process boundaries and level of necessary detail.
- Identify individual steps and give descriptions.
- Prepare a flowchart.
- Identify possible failure points.
- Determine timeframes and variations.
- Analyze overall profitability.
- QFD integrates customer "voice" to ensure quality and needs preferences.
Forecasting Overview
- Forecasting predicts potential future outcomes using historical information, insights, and data.
- Operations Management prefers proactive approaches using structured activity
- An effective forecast clearly states future expectations which help with weather forecasting.
Forecast Use Cases
- Planning the system: Includes long-term planning about product and service types, facilities and equipments.
- Planning the use of the system: Short-term planning that involves workflow, inventory workforce and finances.
Aspect | Plan the System | Plan the Use of the System |
---|---|---|
Timeframe | Long-term planning | Short-term planning |
Focus | Facilities | Workforce mgmt |
Purpose | Future needs | Daily Operations |
- Forecasts are important for financial planning, workforce management, marketing strategies, and production scheduling.
- All forecasting systems use same patterns of the past.
Elements Common to All Forecasts
- Assuming the same underlying causal patterns will persist from the past into the future. This assumes a casual system that resembles the past.
Key Forecasting Principles
- Forecasts are not perfect because there is presence of randomness.
- Forecasts based on groups are more accurate than individual forecasts due to canceling effects
- Accuracy declines as time horizon increases
- Timely information, must be accurate
- Reliable & Consistent
- Should include appropriate units.
Steps in the Forecasting Process
- Determine the purpose of the forecast and estimate if assumptions are met.
- Establish the forecast time horizon noting accuracy decreases with time.
- Select an effective forecasting techinuqe
- Gather and analyze applicable data
- Create a baseline with an appropriate, monitor and revis forecast if its off track.
Types of Forecasting
- Qualitative: Includes subjective inputs that defy accurate desciption.
- Quantitative: Uses existing data and causality.
- Jugdemental: Subject analysis regarding subjective material. In other words, a customer's expert opinion on products, that provides insights not elsewhere available
- Time series: Objective analysis depicting data that show a certain appearance that is projected in the future.
Associative Models
- This uses historical data in a relational format (easily or advanced) to develop quantitative/qualitative estimates. Explanatory variables predict future demand
- Changes may occur from Federal Reserve Board's interest rate and energy which leads to pricing.
Forecasts Based on Judgement and Opinion
- Uses subjective material to forecast based on information, knowledge, and history. Can be hard to quantify
Forecasts Based on Time Series (Historical) Data
- Time and sequence of observing data points over increments. Relationships exist between the predictor and prediction for linear regression. We believe patterns repeat leading to better decision making
- Behavior relies on series and shifts, leading to economic decisions.
Forecast Components
- Trend: Involves long-term upward or downward movement in data.
- Cycles: These are variable economic factors over a sustained period. Irregular: Unusual conditions in the data.
- Random Effects: Changes in the data that don't follow predictable patterns.
Core Principles
- Historical data shows randomness and noise
- The goal is to minimize effects by analyzing variations for accuracy while balancing cost and benefit
Choosing a Forecasting Technique
- Involves a large dataset that is properly sampled
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