Saturday, February 15, 2020

Introduction to Supply Chain Management Essay Example | Topics and Well Written Essays - 2000 words

Introduction to Supply Chain Management - Essay Example They claimed that the quality of the parts they have been receiving from the outsourcing company were not up to standards. Inventory was then packed with products that were no longer of use to Boeing, losing them millions of dollars. Further investigations revealed that the outsourcing company wasn’t being watched over as closely as the engineers and companies throughout the country. Boeings main reason for outsourcing revolved around revenue purposes. The report finds that inventory product quality, as well as quantity supply is crucial within organizations and can cause a lot of problems if not watched and dealt with carefully. It is recommended that: the battery is dramatically improved by watching the quality of the parts inserted; Boeing launch and promote a campaign assuring non-faulty batteries; and resumes are looked over again by company officials. The limitations that may occur are that a product such as an airplane may require off shoring because some expertise exists only in foreign countries. Also, while there is nothing necessarily wrong with off shoring, the cultural and language differences as well as physical distances can add to the supply chain risks. Boeing is one of the major companies in the world that manufactures defense and commercial jetliners and security and space system. The company is faceted into two major business entities: the Boeing Space and Security and the Commercial airplane (Hiltzik, 2011). In addition, its other products are electronics, weapons satellites, defense system, military aircraft, systems of information and communication that are advanced et cetera. The company is not only one of the leading exporters of the US but also have connection with customers in the various countries of operation (approximately more than 150 nations). The company’s headquarters is in Chicago and it provides employment opportunities to approximately 180,000 individuals in the US and other nations

Sunday, February 2, 2020

W4 discussions Essay Example | Topics and Well Written Essays - 500 words

W4 discussions - Essay Example Waiting-line models can equally be applied in the manufacturing of soda, canned foods, automotive components, and plastic products, the list being practically inexhaustible. By analyzing queues in terms of average waiting time, and the length of the waiting line, among other factors, managers in the manufacturing setting can make vital decisions regarding how many machines they should engage in production, when to schedule maintenance for particular machines, and establish the probability of having a given quantity of materials or inventory running in the system (wps.prenhall.com, n.d.). Queuing theory may help managers establish the probability of a system being idle which is important in deciding when and how often to schedule maintenance services for machines and equipment. Simply stated, queuing theory is no less important in product manufacturing than it is in service industries. Linear programming is a widely used mathematical technique designed to help operations managers plan and make decisions. Why is LP so important in decision making? So what are the major components of a linear programming problem? What does linear programming tell us about the allocation of resources? Linear programming according to purplemath (n.d.) is the process of analyzing the different linear inequalities that apply to a given situation to find the optimum value that can be obtained under those conditions. In this respect, linear programming is important in obtaining the â€Å"best† (optimum) value of a variable for a given set of conditions (purplemath, n.d.). For decision makers, linear programming is important in finding optimum (maximum and minimum) values which are important such as in maximizing profits and minimizing expenses among other desirable results. A linear programming problem has four basic components; decision variables, data/parameters, constraints, and objective