QualityManagement for Organizational Excellence
Thepresent business environment is typified by resources strainsgiventhe rising costs of manufacturing commodities. In this regard, manycompanies call for quality organizational management. Consequently,human resource persons need to employ quality management to ensureexcellence performance and maximum output in the present competitivebusiness environment. Partnering with statistical process inorganizational management will significantly ensure quality andexcellent organizational output. Simply put, statistical managemententails quality customer services since the required data ispresented autonomously in the company’s systems. Identification ofspecified data is done promptly using this type of management. Thistype of management, however, has various opportunities andchallenges. As such, this retrospect paper seeks to identifyadvantages and challenges related to the use of Statistical Processto control and improve quality and its applicability to anorganization management.
Quality improvement practices in an organization represent the mostimportant approach to aid in organizational change (Thor et al.2015). As such, partnering with the statistical process will lead toa proper transition process. Change within any organization iseminent. Some of these changes are done to ensure the improvement ofmanufactured products or quality of services provided (Thor et al.,2015). The statistical process ensures proper record keeping in anorganization even after the transitional process. This process showsthe systematic review of an organization hence storing the historicaldata. Transformation failure is a problem that faces manyorganizations in every day operations. As a result, partnering withthe statistical process will help eradicate these failures (Oakland,2015). Information transmission is efficiently done given importantprocessing data can be obtained. Important organizational servicessuch as warranty claims, analysis of various departments and repairand servicing can be efficiently done (Oakland, 2015). Statisticalprocess aids in prompt service delivery and access in anorganization. This will be done efficiently since the organization’sinformation is available to the organization’s departments. Theinformation will be analyzed and interpreted using statistical tablesand graphs hence workers will have an easy time to act on theindented process. As such, the fore mentioned services will be doneefficiently and on a faster rate.
Despitethe significant advantages presented by the system process, a numberof challenges are evidenced. The process is expensive to implement inany organization (Foley, 2015). Implementation of the statisticalprocess in an organization requires additional cost since the processis expensive. As a result, an organization needs to plan properlybefore deciding to use this process to improve quality management.Additionally, the process requires skilled personnel who are wellversed with the interpretation of statistical figures (Foley, 2015).Interpretation of statistical data and figure might be a challengingexperience for someone who is not well versed in statistical aspects.Consequently, an organization will have to employ workers that areefficient in interpretation and analysis of statistical information.
Asa Human Resource in my working environment, I will opt to use thestatistical process to improve quality management. As such, I willhave to employ quality workers who are aware of statisticalmanagement. The transition process of using a statistical processsuch requires an extra cost in its implementation. I will plan thisearlier and include it in the organization`s budget so as to avoidrunning out of organization’s stock (Oakland, 2015). I will carryout awareness in the company to enlighten all the stakeholders aboutthe new type of management. This will help various stakeholdersadjust to the new process. Evidently, statistical management willsignificantly help in transforming my organization since there shallbe no frequent losses, and quality customer services shall beprovided.
Foley,J. K. (2015). From Quality Management to Organization Excellence:“Don’tThrow the Baby Out With the Bath Water”Centrefor Management Quality Research.Retrieved fromhttp://www.cmqr.rmit.edu.au/publications/kfbabyba.pdf Oakland,J. S. (2015). StatisticalProcess Control. University of Leeds Business School.5thEd.
Thor,J. Lundbeg, J. Ask, J & Olsson, J. (2015). Applicationof Statistical Process Control in Healthcare Improvement: SystematicReview