iscom305 wk 1 dq's
iscom305 wk 1 dq's
Popular in Course
verified elite notetaker
Popular in Department
This 5 page Study Guide was uploaded by tophomework Notetaker on Thursday November 12, 2015. The Study Guide belongs to a course at a university taught by a professor in Fall. Since its upload, it has received 18 views.
Reviews for iscom305 wk 1 dq's
Report this Material
What is Karma?
Karma is the currency of StudySoup.
You can buy or earn more Karma at anytime and redeem it for class notes, study guides, flashcards, and more!
Date Created: 11/12/15
1. What is the transformation process? Can the transformation process be applied to both goods and services? How might data be used during the process? 2. Using quantitative tools is one way to manage data. What kind of solutions may be derived using various statistical process controls (SPC)? Why is SPC training important to both company employees and managers? 3. Why are timeliness, accuracy, and relevance important in gathering and analyzing data? How might data shape operations management? What is the transformation process? Operations are also known as the transformation process. The transformation process is the process between input and output. According to Russell and Taylor (2009), “…inputs (such as material, machines, labor, management, and capital) are transformed into outputs (goods and services)” (p. 2). Viewed as a series of activities along a value chain, the transformation process is a vital step in operations. Can the transformation process be applied to both goods and services? Yes, the transformation process can be applied to both goods and services. “Transformation processes, while vital to creating goods and services, cannot be viewed in isolation; they must be viewed from a perspective that integrates all aspects of operations in creating goods and delivering customer experiences” (Russell & Taylor, 2009, p. 101). My company does not provide goods; however, we provide a valuable service. We provide towing and transport for stranded or disabled vehicles. In addition, we provide emergency accident response and cleanup. I assume the transformation process in my company is the removal and transport of the disabled or wrecked vehicle. The input is the vehicle being involved in an accident or disabled, the transformation process is my company removing and transporting the vehicle so that the output of fixing the vehicle or freeing up the roadway can be achieved. How might data be used during the process? Data is a valuable resource in any process. “Requirements and feedback from customers are used to adjust factors in the transformation process, which may in turn alter inputs” (Russell & Taylor, 2009, p. 101). Data gathered can be evaluated and used to adjust inputs in order to achieve an altered output to meet customer needs. Reference Russell, R. S., & Taylor, B. W. (2009). Operations Management: Creating Value Along the Supply Chain (6th ed.). Hoboken, NJ: John Wiley & Sons. Using quantitative tools is one way to manage data. What kind of solutions may be derived using various statistical process controls (SPC)? Statistical Process Controls (SPC), “…is a statistical procedure using control charts to see if any part of a production process is not functioning properly and could cause poor quality” (Russell & Taylor, 2009, p. 104). Since no production process produces exactly identical items, SPC is employed to inspect and measure production processes for variations. Companies can detect variability such as random variability due to equipment or machinery, engineering, operators, defective materials, or errors due to lack of training. Through the use of SPC, unusual or undesired results in the production process can be corrected, thus correcting problems early or preventing poor quality before it occurs. In addition to employing SPC to detect variations or defects in products, SPC is useful for monitoring quality in services. According to Russell & Taylor (2009), SPC can provide valuable information for services such as: Hospitals: Timeliness and quickness of care, staff responses to requests, accuracy of lab tests, cleanliness, courtesy, accuracy of paperwork, speed of admittance and checkouts. Grocery stores: Waiting time to check out, frequency of outofstock items, quality of food items, cleanliness, customer complaints, checkout register errors. Airlines: Flight delays, lost luggage and luggage handling, waiting time at ticket counters and checkin, agent and flight attendant courtesy, accurate flight information, passenger cabin cleanliness and maintenance. Fastfood restaurants: Waiting time for service, customer complaints, cleanliness, food quality, order accuracy, employee courtesy. Catalogueorder companies: Order accuracy, operator knowledge and courtesy, packaging, delivery time, phone order waiting time. Insurance companies: Billing accuracy, timeliness of claims processing, agent availability and response time. Why is SPC training important to both company employees and managers? SPC training is important to both company employees and managers. “Training in quality tools and skills such as statistical process control enable employees to diagnose and correct daytoday problems related to their job” (Russell & Taylor, 2009, p. 67). In providing SPC training to employees, employees have a greater responsibility for product quality and may achieve greater satisfaction in providing quality products or services. Consequently, failure to provide SPC training could lead to failure to achieve high quality. “U.S. companies successful in quality management train employees in SPC methods and make extensive use of SPC for continuous process improvement” (Russell & Taylor, 2009, p. 104). Reference Russell, R. S., & Taylor, B. W. (2009). Operations Management: Creating Value Along the Supply Chain (6th ed.). Hoboken, NJ: John Wiley & Sons. Why are timeliness, accuracy, and relevance important in gathering and analyzing data? Timeliness, accuracy, and relevance are pertinent in gathering and analyzing data. Timeliness is pertinent in many aspects of business. For obvious reasons, timeliness is important in the gathering and analyzing of data since outdated data may be of less or no use. The faster data is gathered and analyzed, the faster errors or quality issues can be realized and corrected. Consequently, lack of timeliness in gathering and analyzing data can lead to costly errors. For example, a company producing goods that does not practice timeliness in gathering and analyzing data may experience a large volume of defective products. Had the company practiced timeliness, they may have realized an error earlier in production and been able to correct the error prior to producing defective goods. Accuracy is another pertinent aspect in gathering and analyzing data. As with timeliness, accuracy can lead to costly errors. A company depends upon the accuracy of data in that decisions are based upon this data. For example, if data provided shows adjustments need to be made to a production machine and that data gives inaccurate information, the company may unknowingly make inappropriate adjustments causing a more severe problem. Last but not least, relevance is just as important as timeliness and accuracy in gathering and analyzing data. Data gathered is only useful if it is relevant. For example, if data is needed to determine the speed of production, then product color may be irrelevant. A company needs to determine what information is relevant and irrelevant to their data needs. How might data shape operations management? Data can shape operations management in many ways. Adjustments in operations management is made via gathering and analyzing data. Quality, speed, and customer satisfaction are all things that a company can adjust with the knowledge of data.
Are you sure you want to buy this material for
You're already Subscribed!
Looks like you've already subscribed to StudySoup, you won't need to purchase another subscription to get this material. To access this material simply click 'View Full Document'