Introduction
The triumph of any venture involves proper production and deliverance of commodities. This is proposed to gratify the consumers’ requirements. When this suitability is met, the clients and producers have a harmonious business transaction amid one another. Quality function development is a principle that meets the requirements of the customers as well as the manufacturers’ requirements. The principle refers to translating customers’ requirements to suitable technical requirements in the production of the commodities. This principle helps the enterprises to advance their schemes in production. The ancient methods of production are advanced to technical means of fabrication. The end result of the principle is to improve deliverance of consumer satisfaction (Gunasekaran, 2001). This principle is expressed through diverse aspects like the automotive, aircrafts amid others.
There are various sigma applications derived from the QFD principle. The applications have immense impacts in different aspects. The effects are evident in automotive, aerospace, defensive, construction, agricultural machinery, amid others. QFD brings the impact of serving the consumer satisfaction in the specified fields. Each aspect has its independent impact on its relevant field. The similarity in the diverse aspects lies in satisfying the requirements of the consumers. This module will spotlight the agricultural machinery aspect. An outline of the sigma applications in this aspect will be revealed. This study will as well portray the impact of the sigma applications in the agricultural sector (Truscott, 2003).
Agricultural machinery
Agriculture entails budding crops and nurturing livestock. The agro-products meet the human fundamental necessity of food. The biggest portion of the edibles is derived from the agricultural sector. In this case, food production is a crucial element to the human race. In the agricultural sector, the consumers need a consistent and sufficient food supply for their survival. In this sector, the QFD principle still majors on the consumer satisfaction. The requirement of the consumers is translated to a technical requirement of the agricultural sector. Indeed, the machinery plays a key role in making the processes in the agricultural sector efficient. In the agricultural sector there are varied sigma applications that are derived from quality function development (Basu, 2008).
Six Sigma Applications
This is a strategy for the administration of business enterprises. In the agricultural segment, this strategy focuses on high yields. The greatest entitlement of the yields is entirely free from defects. The strategy combats any form of defect that could result from the production process in the enterprise. This business strategy was customized long ago. Within this span, the business strategy went through a rampant growth influencing diverse sectors in production. The technique identifies and combats the sources of production defects. In this case, it is a remedy in QFD. This is because it satisfies the clients. It also propagates the production of quality products. The strategy targets the expansion of profits and reduced costs in the production process. This approach uses distinct methods to attain its goals and provides infrastructure to the experts of the techniques (Basu, 2008).
There are copious six sigma techniques that affect different sectors in the economy. In the agricultural segment, there are plentiful techniques geared to propagate production. DMAIC is a paramount example of the techniques. The strategy is an independent procedure that entails a sequence of steps. This type of technique is driven by data and has a fundamental function in the six sigma programme of the agricultural enterprise. The technique makes the life span of the project to be more economical. The DMAIC model necessitates few steps. The defining entails identifying the appropriate venture in the enterprise. Measuring is about evaluating chief characteristics and their performance in the project. The analytic bit entails identifying the chief process determinants. The subsequent tread involves optimizing performance and altering the process. The final step entails sustaining the gain of the process (Basu, 2008). The equipments constitute the frame work for this strategy. The stratagem provides the suitable farm equipments to aid in the specified steps.
The six sigma processes require dependable and consistent data. This is the reason as to why there are statistical methods in the system. In an agricultural enterprise, the engineers must have outstanding knowledge of the farm tools and equipments. Through this, the data from diverse appraisals is authentic towards the accomplishment of the project. This will infact save time to the statisticians in their data entry for the project. The projects would even be accomplished more efficiently if the engineers had double knowledge, that is, in engineering and in statistics. To combat this challenge, six sigma strategies introduce the use of software in the agricultural sector. This propagates data entry in the farm enterprise resulting to convenient accomplishment of the project (Breyfogle, 2003).
Strategy implementation is very crucial in a farm enterprise. This aids the attainment of various intentions of the enterprise. Bench-marking is one of the six sigma techniques. This process entails the assessment of projects as well as evaluating their success. When this is done, corrective measures are taken by the administration of the farm enterprise. To some extent, the data concerning the projects is confidential to the executive of the farm’s executive. To enhance confidentiality, the data is entered in a satellite of foot level metrics. This approach encloses the data to the farm’s executive. The six sigma system has established machinery that can comprehend and store such data. The invention upholds the confidential strategic planning of the farm enterprise (Breyfogle, 2003). DCOV is another model in this methodology. It is more powerful than the DMAIC model. This method has more satisfaction to the consumer. Its methods and processes are complex than those in the DMAIC model. In the DCOV model, there is more profitability in the service development. It brings more advancement to the farm enterprise (Stamatis, 2003). This is as well characterized by more technological inventions in the farm’s machinery.
Conclusion
In the agricultural sector, there is stiff competition amid diverse farm enterprises. This implicates that the individual farm enterprises have to be competent enough so as to thrive in the sector. For an enterprise to succeed in the competition, it has to be focused and equipped so as to out do the rival enterprises in the economy. The six sigma is a methodology that has aided a number of enterprises to be competent. This is through the processes that are involved in the technique. For the success of the farm enterprise, focus must ne invested on the process but not on the product (Stamatis, 2003). By observing the process, the end product will automatically be of high quality. This as well meets the consumers’ needs in the market.
References
Gunasekaran, A. (2001). Agile manufacturing: the 21st century competitive strategy. United Kingdom: Elsevier.
Truscott, W. (2003). Six sigma: continual improvement for business: a practical guide. United Kingdom: Butterworth-Heinemann.
Basu, R. (2008). Implementing Six Sigma and Lean: a practical guide to tools and techniques. United Kingdom: Butterworth-Heinemann.
Breyfogle, F. (2003). Implementing six sigma: smarter solutions using statistical methods. New Jersey: John Wiley and Sons.
Stamatis, D. (2003). Six Sigma fundamentals: a complete guide to the system, methods and tools. New York: Productivity Press.
