Several tools and techniques are available for the efficient design and development of products. The Concept of study – Explaining of Product Design Tools in Production Management with Techniques for Improving Product Design Process. These tools address all the stages of design and development. Some of the tools that are available for product designers to understand customer’s needs and translate them into meaningful design and manufacturing specifications, as well as some guidelines for incorporating the manufacturing requirements at the design stage.
Understanding Customer Needs: The first step of the product design and development process is to know what exactly the product is going to be. Organizations need various methods by which they can obtain information regarding the needs of the customers.
This can be by:
In market research, the target group identifies, and appropriate sampling is done within the target group. Using structured data collection methods, such as questionnaire surveys and interviews, information solicit from the sample. The information subjects to statistical and other analytical reasoning before arriving at customers’ preferences and needs.
We talk about Production and market systems, laser marking systems running around 30 years. They produce materials such as METALS, PLASTIC, FOILS AND PAINTS, ORGANIC MATERIALS, and other application. LASIT is a company of one hundred people who develop laser marking technologies with passion and dedication. They are big enough to make the difference, but also small enough to take care of every single customer. The Study and Design team ensures traceability, production chain control, brand visibility, and industrial process automation.
Understanding what the existing offerings are now and how the gaps and problems identified could be eliminated can sometimes offer valuable inputs to the designer. One method of competitor analysis is to “reverse engineer” the product. The competitors’ product is dismantled down to individual components level and some detailed studies are conducted on them. These may sometimes reveal the probable processes utilized in their manufactures such as the choice of materials and their specifications and the relationship between these parameters and performance. Reverse engineering is one crude method of a larger issue of benchmarking.
In the case of benchmarking, competitive product offerings are chosen for detailed analysis. Specific parameters are chosen for the benchmarking exercise. For example, cost, features, performance, ease of maintenance, ease of manufacture, assembly, and distribution are some of the issues on which comparative study may be possible. Once these parameters are identified, data collection and analysis will reveal the positioning of ones’ products vis-à-vis the competitor’s offerings. Another method for competitive analysis is to develop perceptual maps. Perceptual maps are the graphical representation of various competitors offering and that of ones’ own proposed product and/or service.
The goal of good product design is to bring out products that satisfy customer’s needs better than those of the competitions. However, the attributes of competitor satisfaction are often qualitative. On the other hand, the product design process results in a bundle of quantitative attributes about the product. The challenge, therefore for a designer is to ensure that the transformation from qualitative attributes to quantitative ones is smooth and complete.
Quality function deployment is a Japanese tool that helps organizations achieve this transition systematically and progressively Quality Function Deployment achieves these transition .in four stages. The first stage links customer needs to the design attributes required. In the second stage, the design attributes form the basis for actions that the firm needs to take to achieve these attributes. The actions identified at this stage are the basis for third staging arriving at the specific decisions to be implemented. In the fourth stage, the implementation decisions drive the process plan to deploy.
Value Engineering refers to a set of activities undertaken to investigate the design of components in a designing process strictly from a cost-value perspective. Typically, the design professionals brainstorm various options in conjunction with procurement, personnel, suppliers, and production personnel, concerning the value-cost dimensions of the product being designed.
Usually, several questions are addressed, which include the following:
Design for manufacturability (DFM) is a structural approach to ensure that manufacturing requirements and preferences consider fairly early in the design process without the need for extensive coordination between the two. DFM guidelines address three sets of generic requirements:
They below;
They are;
They follow are;
Mass customization provides a structural set of ideas and tools to provide high levels of customization without increasing the complexity of planning and control operations.
The various tools and techniques of mass customization are;
Many companies who know for their creativity and innovation in product design fail to get new products into the markets. The problems associated with converting ideas into finished products maybe because of poor manufacturing practices and poor design. Design decisions affect sales strategies, the efficiency of manufacturing, production cost, the speed of maintenance, etc.
A complete restructuring of the decision-making process and the participants in the decision process is essential for the improvement in the design process. Over the wall concept of design i.e., a series of walls between various functional areas must be broken down and replaced with new co-operative interaction amongst the people from various functional areas.
The improvement of the design process can achieve through:
The team approach to product design has proved to be more beneficial worldwide. The participants of the design team include persons from marketing, manufacturing, and engineering, and purchase functions for the effective design process. The critical success factor between success and failure of new product launches is the involvement and interaction of creates – make and market functions from the beginning of the design product.
Concurrent design decisions reduce the time and cost of designs decision. Decisions are overlapping rather than sequential concurrent design is an approach to design that teams. The concurrent design process believes in “Cost plus” prices as contrasted by cost minus pricing in concurrent design.
It is a process of designing a product so that it can be manufactured with ease and economically. It also calls design for production. Designing for production is a concept by which a designer thinks about how the product will make as the product designing so that potential production problems caused by design and can resolve early in the design process. This concept believes in simplifying design and standardizing parts and processes used.
The basic principles of DFMA are:
Before finalizing a design, formal procedures for analyzing possible failures and rigorously assessing the value of every part and components should be followed. The techniques such as Failure Mode Effect and Criticality Analysis FMEGAX Value Engineering (VE) and Fault Tree Analysis (FTA). FMECA is a systematic approach to analyzing the causes and effects of product failures. It anticipates failures and prevents them from occurring.
Value analysis is a design methodology developed by Lawrence Miles in the late 1940s that focuses on the function of the product, rather than on its structure or form and tries to maximize the economic value of a product or component relative to its cost. Fault Tree Analysis (FTA) emphasizes the interrelationship among failures. It lists failures and their causes in a tree format.
Design for Environment (DOE) involves designing products from recycled materials, using materials or components, which can be recycled. It promotes the concept of green products clean energy and environment-friendly products.
Making design decisions concurrently rather than sequentially requires superior co-ordination amongst all the participants involved in designing, producing, procuring, and marketing. QFD is a powerful tool that translates the voice of the customer into the design requirements and specifications of a product. It uses inter-functional teams from design, marketing, and manufacturing.
QFD process begins with studying and listening to customers to determine the characteristics of a superior product. Through marketing research, the consumer’s product needs and preferences define and broken down into categories called “Customer Requirements” and the weight based on their relative importance to the customer.
Customer requirements information forms the basis for a matrix called the house of quality. By building the house of the quality matrix, the cross-functional QFD teams can use customer feedback to make engineering, marketing, and design decisions.
The matrix helps to translate customer requirements into concrete operating or engineering goals. QFD is a communication and planning tool that promotes a better/understanding of customer demands, promotes a better understanding of design interactions, involves manufacturing in the design process, and provides documentation of the design process.
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