Eight dimensions of quality were delineated by David A. Garvin, formerly C. Roland Christensen Professor of Business Administration at Harvard Business School, and may be used at a strategic level to analyze product quality characteristics. Garvin, who died on 30 April 2017, [1] was posthumously honored with the prestigious award for 'Outstanding Contribution to the Case Method' on 4 March 2018. [2] [3]
Some of the dimensions are mutually reinforcing, whereas others are not: improvement in one may be at the expense of others. Understanding the trade-offs desired by customers among these dimensions can help build a competitive advantage.
Garvin's eight dimensions can be summarized as follows:
Performance refers to a product's primary operating characteristics. This dimension of quality involves measurable attributes, so brands can usually be ranked objectively on individual aspects of performance. Overall performance rankings, however, are more difficult to develop, especially when they involve benefits that not every consumer needs. Performance is often a source of contention between customers and suppliers, particularly when deliverables are not adequately defined within specifications. The performance of a product often influences the profitability or reputation of the end-user. As such, many contracts or specifications include damages related to inadequate performance. The question of whether performance differences are quality differences may depend on circumstantial preferences-but preferences based on functional requirements, not taste.
Some performance standards are based on subjective preferences, but the preferences are so universal that they have the force of an objective standard. [4]
Features are additional characteristics that enhance the appeal of the product or service to the user.
Similar thinking can be applied to features, a second dimensions of quality that is often a secondary aspect of performance. Features are the "bells and whistles" of products and services, those characteristics that supplement their basic functioning. Examples include free drinks on a plane, permanent-press cycles on a washing machine, and automatic tuners on a color television set. The line separating primary performance characteristics from secondary features is often difficult to draw. [4]
Reliability is the likelihood that a product will not fail within a specific time period. This is a key element for users who need the product to work without fail.
This dimension reflects the probability of a product malfunctioning or failing within a specified time period. Among the most common measures of reliability are the mean time to first failure, the mean time between failures, and the failure rate per unit time. Because these measures require a product to be in use for a specified period, they are more relevant to durable goods than to products and services that are consumed instantly.
Reliability normally becomes more important to consumers as downtime and maintenance become more expensive. Farmers, for example, are especially sensitive to downtime during the short harvest season. Reliable equipment can mean the difference between a good year and spoiled crops. But consumers on other markets are more attuned than ever to product reliability too. Computers and copying machines certainly compare on this basis.
Reliability may be closely related to performance. For instance, a product specification may define parameters for up-time, or acceptable failure rates.
Reliability is a major contributor to brand or company image, and is considered a fundamental dimension of quality by most end-users. For example, recent market research shows that, especially for women, reliability has become an automobile's most desired attribute. [4]
The dimension of conformance depicts to what extent a product’s design and operating characteristics meet established standards. This dimension owes the most to the traditional approaches to quality pioneered by experts like Juran. [5]
All products and services involve specifications of some sort. When products are developed, these specifications are set and a target is set, for instance the materials used or the dimension of the product. Not only the target but also the tolerance (the range of permitted deviation from the target) is defined. One problem with this approach is that there is little interest in whether the specifications have been met exactly as long as the tolerance limits are met.
On the one hand, this can lead to the so-called “tolerance stack-up”. When two or more parts are to be fit together, the size of their tolerances often determine how well they will match. Should one part fall at a lower limit of its specification and a matching part at its upper limit, a tight fit is unlikely. The link is likely to wear more quickly than one made from parts whose dimensions have been centered more exactly. [4]
This problem can be addressed by taking a different approach to measuring quality. Instead of measuring a simple conformance to specifications, the degree to which parts or products diverge from the ideal target is measured. Using this approach, process 1 (see picture) is better even though some items fall beyond specification limits. The traditional approach would have favored process 2 because it produces more items within the specification limit. It was demonstrated that the problem of “tolerance stack-up” is worse when the dimensions of parts are more distant from the target than when they cluster around it, even if some parts fall outside the tolerance. This approach requires a fresh look at the common process quality factor of 'defect rate', to take into account the fact that two parts may each pass the 'tolerance test' separately but be unusable when the attempt is made to join them together.
In service businesses, measures of conformance normally focus on accuracy and timeliness and include counts of processing errors, unanticipated delays and other frequent mistakes. [4]
Durability measures the length of a product’s life. When the product can be repaired, estimating durability is more complicated. As well The item will be used until it is no longer economical to operate it. This happens when the repair rate and the associated costs increase significantly. Technically, durability can be defined as the amount of use one gets from a product before it deteriorates. After so many hours of use, the filament of a light bulb burns up and the bulb must be replaced. Repair is impossible. Garvin noted that economists call such products "one-hoss shays", after the carriage in Oliver Wendel Holmes' poem, The wonderful one-hoss-shay. [6] In other cases, consumers must weigh the expected cost, in both dollars and personal inconvenience, of future repairs against the investment and operating expenses of a newer, more reliable model. Durability, then, may be defined as the amount of use one gets from a product before it breaks down and replacement is preferable to continued repair.
This approach to durability has two important implications. First, it suggests that durability and reliability are closely linked. A product that often fails is likely to be scrapped earlier than one that is more reliable; repair costs will be correspondingly higher and the purchase of a competitive brand will look that much more desirable. Second, this approach implies that durability figures should be interpreted with care. An increase in product life may not be the result of technical improvements or the use of longer-lived materials. Rather, the underlying economic environment simply may have changed.
Serviceability involves the consumer's ease of obtaining repair service (example: access to service centers and/or ease of self-service), the responsiveness of service personnel (example: ease of getting an appointment, willingness of repair personnel to listen to the customer), and the reliability of service (example: whether the service is performed right the first time). Competence and ease of repair is the speed with which the product can be put into service when it breaks down, as well as the competence and the behavior of the service personnel.
Consumers are concerned not only about a product breaking down but also about the time before service is restored, the timeliness with which service appointment are kept, the nature of dealings with service personnel, and the frequency with which service calls or repairs fail to correct outstanding problems. In those cases where problems are not immediately resolved and complaints are filed, a company's complaint handling procedures are also likely to affect customer's ultimate evaluation of product and service quality.
Some of these variables reflect differing personal standards of acceptable service, while others can be measured quite objectively. Customers may remain dissatisfied even after completion of repairs. How these complaints are handled is important to a company's reputation for quality and service. Eventually, profitability is likely to be affected as well. Companies differ widely in their approaches to complaint handling and in the importance they attach to this element of serviceability. Some do their best to resolve complaints; others use legal gimmicks, the silent treatment and similar ploys to rebuff dissatisfied customers.
For example, recently, [7] General Electric, Procter & Gamble and other companies have sought to preempt consumer dissatisfaction by installing toll-free telephone hot lines to their customer relations departments.
Important attributes for the serviceability dimension are service warranty, parts warranty, parts availability, distance to dealer service centers, distance to service parts center-dealer, distance to service parts center individual, length of wait for service appointment, schedule of preventive maintenance, employees listen to customers, information regarding repairs, courteous service centers, repaired correctly first time, service time relative to other dealers, warranty claims handled without argument, average repair cost/year, extended warranty, underestimation of service cost and provision of loan car.
The aesthetic properties of a product contribute to the identity of a company or a brand. Faults or defects in a product that diminish its aesthetic properties, even those that do not reduce or alter other dimensions of quality, are often cause for rejection.
Aesthetics refers to how the product looks, feels, sounds, tastes, or smells. It is clearly a matter of personal judgement and a reflection of individual preference. Nevertheless, there appear to be some patterns in consumers' rankings of products on the basis of taste.
A recent study of quality in 33 food categories, for example, found that high quality was most often associated with attributes such as "rich and full flavor, tastes natural, tastes fresh, good aroma, appetizing looks".[ citation needed ] Aesthetics also refers to the "outside" feel of the product.
The aesthetics dimension differs from subjective criteria pertaining to "performance" in that aesthetic choices are not nearly universal. Not all people prefer "rich and full" flavor or even agree on what that means. Companies therefore have to search for a niche. On this dimension of quality, it is impossible to please everyone. [4]
Perception is not always reality. Consumers do not always have complete information about a product's or service's attributes; indirect measures may be their only basis for comparing brands.
A product's durability for example, can seldom be observed directly; it usually must be inferred from various tangible and intangible aspects of the product. In such circumstances, images, advertising and brand names -inferences about quality rather than the reality itself- can be critical. For this reason, both Honda -which makes cars in Marysville, Ohio- and Sony -which builds color televisions in San Diego- have been reluctant to publicize that their products are "made in America".
Reputation is the primary stuff of perceived quality. Its power comes from an unstated analogy: that the quality of products today is similar to the quality of products of yesterday, or the quality of goods in a new product line is similar to the quality of a company's established products. [4]
Six Sigma (6σ) is a set of techniques and tools for process improvement. It was introduced by American engineer Bill Smith while working at Motorola in 1986.
Services marketing is a specialized branch of marketing which emerged as a separate field of study in the early 1980s, following the recognition that the unique characteristics of services required different strategies compared with the marketing of physical goods.
Quality assurance (QA) is the term used in both manufacturing and service industries to describe the systematic efforts taken to assure that the product(s) delivered to customer(s) meet with the contractual and other agreed upon performance, design, reliability, and maintainability expectations of that customer. The core purpose of Quality Assurance is to prevent mistakes and defects in the development and production of both manufactured products, such as automobiles and shoes, and delivered services, such as automotive repair and athletic shoe design. Assuring quality and therefore avoiding problems and delays when delivering products or services to customers is what ISO 9000 defines as that "part of quality management focused on providing confidence that quality requirements will be fulfilled". This defect prevention aspect of quality assurance differs from the defect detection aspect of quality control and has been referred to as a shift left since it focuses on quality efforts earlier in product development and production and on avoiding defects in the first place rather than correcting them after the fact.
The design life of a component or product is the period of time during which the item is expected by its designers to work within its specified parameters; in other words, the life expectancy of the item. It is not always the actual length of time between placement into service of a single item and that item's onset of wearout.
Geometric dimensioning and tolerancing (GD&T) is a system for defining and communicating engineering tolerances via a symbolic language on engineering drawings and computer-generated 3D models that describes a physical object's nominal geometry and the permissible variation thereof. GD&T is used to define the nominal geometry of parts and assemblies, the allowable variation in size, form, orientation, and location of individual features, and how features may vary in relation to one another such that a component is considered satisfactory for its intended use. Dimensional specifications define the nominal, as-modeled or as-intended geometry, while tolerance specifications define the allowable physical variation of individual features of a part or assembly.
Engineering tolerance is the permissible limit or limits of variation in:
A product's service life is its period of use in service. Several related terms describe more precisely a product's life, from the point of manufacture, storage, and distribution, and eventual use. Service life has been defined as "a product's total life in use from the point of sale to the point of discard" and distinguished from replacement life, "the period after which the initial purchaser returns to the shop for a replacement". Determining a product's expected service life as part of business policy involves using tools and calculations from maintainability and reliability analysis. Service life represents a commitment made by the item's manufacturer and is usually specified as a median. It is the time that any manufactured item can be expected to be "serviceable" or supported by its manufacturer.
In the context of software engineering, software quality refers to two related but distinct notions:
Quality management ensures that an organization, product or service consistently functions well. It has four main components: quality planning, quality assurance, quality control, and quality improvement. Quality management is focused both on product and service quality and the means to achieve it. Quality management, therefore, uses quality assurance and control of processes as well as products to achieve more consistent quality. Quality control is also part of quality management. What a customer wants and is willing to pay for it, determines quality. It is a written or unwritten commitment to a known or unknown consumer in the market. Quality can be defined as how well the product performs its intended function.
Reliability engineering is a sub-discipline of systems engineering that emphasizes the ability of equipment to function without failure. Reliability is defined as the probability that a product, system, or service will perform its intended function adequately for a specified period of time, OR will operate in a defined environment without failure. Reliability is closely related to availability, which is typically described as the ability of a component or system to function at a specified moment or interval of time.
Quality, cost, delivery (QCD), sometimes expanded to quality, cost, delivery, morale, safety (QCDMS), is a management approach originally developed by the British automotive industry. QCD assess different components of the production process and provides feedback in the form of facts and figures that help managers make logical decisions. By using the gathered data, it is easier for organizations to prioritize their future goals. QCD helps break down processes to organize and prioritize efforts before they grow overwhelming.
A service plan is a contract to purchasers of products for an additional fee. While service plans resemble extended warranties, there are several important differences between the two, often cited by retailers that sell them.
SERVQUAL is a multi-dimensional research instrument designed to capture consumer expectations and perceptions of a service along five dimensions which are said to represent service quality. SERVQUAL is built on the expectancy–disconfirmation paradigm, which, in simple terms, means that service quality is understood as the extent to which consumers' pre-consumption expectations of quality are confirmed or disconfirmed by their actual perceptions of the service experience. The SERVQUAL questionnaire was first published in 1985 by a team of academic researchers in the United States, A. Parasuraman, Valarie Zeithaml and Leonard L. Berry, to measure quality in the service sector.
Environmental stress screening (ESS) refers to the process of exposing a newly manufactured or repaired product or component to stresses such as thermal cycling and vibration in order to force latent defects to manifest themselves by permanent or catastrophic failure during the screening process. The surviving population, upon completion of screening, can be assumed to have a higher reliability than a similar unscreened population.
Customer satisfaction is a term frequently used in marketing to evaluate customer experience. It is a measure of how products and services supplied by a company meet or surpass customer expectation. Customer satisfaction is defined as "the number of customers, or percentage of total customers, whose reported experience with a firm, its products, or its services (ratings) exceeds specified satisfaction goals." Enhancing customer satisfaction and fostering customer loyalty are pivotal for businesses, given the significant importance of improving the balance between customer attitudes before and after the consumption process.
In business, engineering, and manufacturing, quality – or high quality – has a pragmatic interpretation as the non-inferiority or superiority of something ; it is also defined as being suitable for the intended purpose while satisfying customer expectations. Quality is a perceptual, conditional, and somewhat subjective attribute and may be understood differently by different people. Consumers may focus on the specification quality of a product/service, or how it compares to competitors in the marketplace. Producers might measure the conformance quality, or degree to which the product/service was produced correctly. Support personnel may measure quality in the degree that a product is reliable, maintainable, or sustainable. In such ways, the subjectivity of quality is rendered objective via operational definitions and measured with metrics such as proxy measures.
Service quality (SQ), in its contemporary conceptualisation, is a comparison of perceived expectations (E) of a service with perceived performance (P), giving rise to the equation SQ = P − E. This conceptualistion of service quality has its origins in the expectancy-disconfirmation paradigm.
Operations management for services has the functional responsibility for producing the services of an organization and providing them directly to its customers. It specifically deals with decisions required by operations managers for simultaneous production and consumption of an intangible product. These decisions concern the process, people, information and the system that produces and delivers the service. It differs from operations management in general, since the processes of service organizations differ from those of manufacturing organizations.
Consumer value is used to describe a consumer's strong relative preference for certain subjectively evaluated product or service attributes.