DSS Application in the US Military:
As usual, aggregate capacity is used to meet a distribution of resource requirements though these capacity plan is rendered ineffective in achieving current needs due to environmental and organization conditions or changes. Due to the ineffectiveness of the capacity in meeting the existing demands, decision makers are forced to look for alterations that improve the balance between resource demands and supplies. However, the resource distribution problems that emerge during maintenance, production, and other operational settings can be resolved through heuristic or mathematical programming. Notably, the successful implementation of the heuristic or mathematical programming may be hindered by several barriers. As a result, Decision Support Systems (DSS) are used to promote successful implementation and lessen the barriers since they can capture and arrange the required data and models. In addition, the systems operationalize the models and provide the operationalized models and subsequent knowledge in user-friendly and timely way. Moreover, the feedback loops can obtain and organize the consequent knowledge for future processing and promote sensitivity evaluations of the findings in user-directed manner.
Need for the Decision Support System: The application of the DSS in the American military is important because the U.S. Department of the Army is an organization that could benefit from resource allocation that is based on the systems
Army mathematical research includes applied analysis, computational mathematics, probability and statistics, systems and controls, discrete mathematics, and intelligent systems. Advances in these areas of math will help the Army develop a well-equipped strategic force that will be able to reach victory in conflicts. In order to reach this goal, there has to be constant interaction between several sections of the military including researchers, Army development personnel, and Army field soldiers. This collaboration will ensure that Army systems are built quickly and correctly the first
The objective of strategic capacity planning is to provide an approach for determining the overall capacity level of labor-intensive resources.
The Military Personnel Data System (MilPDS) is the Human Resource (HR) system that comprises each active duty Air Force, Guard and Reserve member’s personnel record as well as retirees. MilPDS is an Air Force wide military system constituting one of the world's largest Oracle HR implementations, comprising over 100 military subsystems. MilPDS is used to process pay transactions, track accountability and strength data, update promotions, assignments, reenlistments and extensions (Gildea, 2013). This paper will cover the characteristics of the users of MilPDS, features and usage of MilPDS, and the impact MilPDS has on Air Force personnel.
“For companies today, MRP is a computerized information system. As such, it requires data to provide the information needed for decision making” (Vonderembse & White, 2013, Section 9.5, para 6). The goal of this paper is to read the Space Age Furniture Company case study and develop an MRP for Space Age Furniture Company using the information in the case including the production of sub-assemblies in lot sizes of 1,000 considering the lot size of 1,000 for sub-assemblies has produced a lumpy demand for part 3079; suggest ways for improvements over sub-assemblies in lot sizes of 1,000, analyze the trade-off between overtime costs and inventory costs, calculate a new MRP that improves the base MRP, compare and contrast the types of production processing—job shop, batch, repetitive, or continuous—and determine which the primary mode of operation is and why, describe ways that management can keep track of job status and location during production and recommend any changes that might be beneficial to the company and/or add value for the customer.
a) Audio recording of SSgt Holliman, USAF Hospital Medical Record Section, Robins Air Force Base. At the 4:30 point SSgt Holliman states Ms. Jones directed her “Do not give him the records”
The Defense Security Service (DSS) is an agency of the Department of Defense (DoD) located in Quantico, Virginia with field offices throughout the United States. The Under Secretary of Defense for Intelligence provides authority, direction and control over DSS. DSS provides the military services, Defense Agencies, 30 federal agencies and approximately 13,500 cleared contractor facilities with security support services. The U.S. industry develops and produces the majority of our nation's defense technology - much of which is classified. The National Industrial Security Program (NISP) was established by Executive Order 12829 to ensure that cleared U.S. defense industry safeguards the classified information in their possession while performing
The Department of Defense (DoD) chose to incorporate open-source software (OSS), in their approach to the software development for the military organizations (O’Brien & Marakas, 2011). The OSS approach is beneficial, because it allows users to study the computer code as a way to enhance and redistribute modified versions of the software to other users (Chief Information Officer, 2009). The DoD wants software to be open for peer-review to strengthen the software reliability and be open to the public as a secure source. John Scott of Mercury Federal Systems, helped to incorporate the DoD’s open-source changes to be used by the public, which was an effort to speed-up software development and improve the cost to make it more affordable to
Capacity in operations decisions is making sure that the process has the right amount of space and proper staffing to maintain the business
As the system progressed further into the Detail Design and Development phase, the contractor to develop and integrate the system was identified as Northrop Grumman. As a leading global security firm, Northrop Grumman was selected for their proven expertise in the development and integration of innovative information systems in the government and commercial sector. The system was named Global Combat Support System – Army to provide continuity across the branches of the U.S. Military as similar upgrades took place in the Air Force, Navy, and Marine Corps.
a. According to survey conducted, military personnel from the Army, Navy and Air Force, determine that 55% is proficient on the use of the Defense Medical Logistics Standard Support (DMLSS), 34% on the Defense Medical Logistics Standard Support Customer Assistant Module (DCAM), and 16% in the Theater Enterprise- Wide Logistics System (TEWLS).
It is key for the organization to be aware of what the system capacity when producing products. The system capacity, as defined by our test,
The use of quantitative models in real-world decision making is a practice that has become the norm in society. Decision makers have searched continually for ways to reduce or eliminate the uncertainties in the decision making process. For decades, the use of quantitative techniques in the decision making process have proven to assist users in improving the process by quickly delivering tools and other useful information used by organizations and have resulted in more economical decisions.
RCCP allocate capacity needs for labor departments, individuals, or work center based on workload data in the past. This technique is used to explain / verification of capacity in each work center where the comparison between the required engine load with the available capacity in each work center. This study will use a rough cut capacity planning approach to help resolve the problem of shortage of production capacity at PT XYZ.
3) Select an allocation base or cost driver for each support department cost pool based on a cause-and-effect relationship between the support departments and the operating/production departments.
Techniques for aggregate planning range from informal trial-and-error approaches, which usually utilize simple tables or graphs, to more formalized and advanced mathematical techniques. William Stevenson 's textbook Production/Operations Management contains an informal but useful trial-and-error process for aggregate planning presented in outline form. This general procedure consists of the following steps: