{"title":"What are Quality Cost Estimates?","authors":"Richard K. Hartley","doi":"10.1080/10157891.2006.10462269","DOIUrl":"https://doi.org/10.1080/10157891.2006.10462269","url":null,"abstract":"I’d like to start off by sharing how truly impressed I was with each of the Renew Your Training teams’ efforts, and more importantly, your results. The briefings were outstanding – each was well-organized, built on sound, credible analysis, and superbly communicated. The fact that many of you used the exercise as a training exercise, providing your budding superstars a chance to shine, was an added bonus. Together, you all set a real high bar for next year’s participants!","PeriodicalId":311790,"journal":{"name":"Journal of Parametrics","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131902872","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
M. Beach, California, J. E. Gayek, L. G. Long, K. Bell, R. M. Hsu, R. Larson
{"title":"Software Cost and Productivity Model","authors":"M. Beach, California, J. E. Gayek, L. G. Long, K. Bell, R. M. Hsu, R. Larson","doi":"10.1080/10157891.2006.10462271","DOIUrl":"https://doi.org/10.1080/10157891.2006.10462271","url":null,"abstract":"Abstract A software cost and productivity model is summarized. The model is based on 452 software development activities that commenced or completed after January 1, 1996, and are drawn from air, sea, land, and space programs. Software complexity is considered by assigning each data record to one of 32 combinations of operational environment and application domains. In addition, the model captures productivity information based on programming language. The following areas are examined, with comparisons to an earlier (1996) Aerospace Corporation model whenever possible: (1) software development productivity, (2) code growth, (3) apparent minimum and maximum software development schedules as a function of the number of source lines of code, (4) relationships for estimating the number of developer-months needed to produce a given number of lines of code, and (5) approximate data distributions. A key finding is that an apparent increase in software productivity has occurred, with median levels of productivity in two software environment groupings increasing approximately 30%.","PeriodicalId":311790,"journal":{"name":"Journal of Parametrics","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126175251","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Numerical Estimation of Munitions Payload using Random Distributions","authors":"Gregory Battle","doi":"10.1080/10157891.2004.10462265","DOIUrl":"https://doi.org/10.1080/10157891.2004.10462265","url":null,"abstract":"Abstract This mathematical research involves formulating mathematical explanations and solving discrete probabilistic problems related to the numerical estimation of target hits. These estimation formulas enable the cost estimation of operating and support funding for weapons payloads. Two of the three analytical problems involve estimating the probability that a target is hit after a tactical munitions is dispensed from an aircraft or missile launcher and the submunitions are ejected to clear a targeted area. The first problem entails determining the probability of hitting a target if a munitions may fall within a circle of radius r with a landing spread resembling a Gaussian or bivariate normal distribution, i.e., a two-dimensional probability distribution given jointly by (X,Y) ∼N(0, [sgrave]2); the second problem generalizes the first and assumes that a mine's true position and a munitions’ targeting are subject to random errors whose distributions are circular Gaussian; this problem is solved using discrete convolution techniques in the spatial domain and multiple integrals for the dispersing distribution. A third Poisson model is offered under some standard assumptions for multiple target hits.","PeriodicalId":311790,"journal":{"name":"Journal of Parametrics","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2004-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125053378","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"The International Space Station Management and Cost Evaluations Task Force","authors":"A. Demarco","doi":"10.1080/10157891.2004.10462266","DOIUrl":"https://doi.org/10.1080/10157891.2004.10462266","url":null,"abstract":"The NASA-led International Space Station (ISS) is a technological marvel and a great feat of international cooperation. The ISS is an Earth-orbiting laboratory drawing upon the scientifi c and technological expertise of 16 nations: the United States, Canada, Japan, Russia, Brazil, and the 11 member nations of the European Space Agency (ESA). The ISS is a gateway to new space frontiers, a hallmark to United States space leadership, a unique laboratory, and a virtual space classroom. The ISS also is an out-of-control project, one that needs an immediate managerial overhaul to assure its productivity and retain its promise of being a world-class orbiting laboratory. The project is a victim of inadequate cost-accounting measures, a skyrocketing price tag, and an increasingly suspect research agenda given cost overruns and shrinking crew size. All these issues help frame the program as one steeped in controversy rather than as a cosmic gateway to the universe.","PeriodicalId":311790,"journal":{"name":"Journal of Parametrics","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2004-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124504514","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Integration of Quality Cost into a Total Cost Model for a Distribution Network","authors":"C. Considine, P. Kauffmann, D. Dryer","doi":"10.1080/10157891.2004.10462267","DOIUrl":"https://doi.org/10.1080/10157891.2004.10462267","url":null,"abstract":"Abstract Effective supply chain management requires integration of the interconnected operational steps from raw material supplier through production, distribution, and final product delivery. These links must operate effectively and efficiently for the supply chain to achieve its primary objective: increased customer value at each step. Distribution systems are particularly critical components in supply chain networks since they are often the last direct interface with the customer. As a result, distribution error in the supply chain cannot be corrected and will impact customer satisfaction, ultimately leading to possible lost sales or customers. Total cost models are powerful tools to model supply chain system elements and evaluate the benefit-cost tradeoffs that are essential to make effective management decisions. This paper describes use of a total cost modeling approach to analyze the distribution system of a large metropolitan newspaper. Poor distribution quality and declining customer satisfaction motivated management to examine the relationships between cost and operational performance to identify the primary drivers of system inefficiency and increased cost. A benchmarking study of similar newspapers identified relationships between operational factors such as carrier pay, route structure, employee turnover and customer complaints. These relationships, along with the cost of quality deficiencies, were used to develop a total cost model that justified the business case for system wide improvement. As a result, management was able to identify the investments that improved performance and reduced total cost. This paper demonstrates application of a total cost model to examine supply chain system costs, identify quality costs and related drivers, and evaluate operational alternatives.","PeriodicalId":311790,"journal":{"name":"Journal of Parametrics","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2004-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124851571","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Designing for Cost Using Genetic Algorithms","authors":"R. Unal, R. Braun, A. Moore, R. Lepsch","doi":"10.1080/10157891.2001.10462604","DOIUrl":"https://doi.org/10.1080/10157891.2001.10462604","url":null,"abstract":"Abstract This paper describes an approach used for a cost and weight optimization study of a reusable launch vehicle. Different material and technology options are studied to optimize vehicle design, development, test and evaluation cost. The focus is on the development of a rapid multidisciplinary analysis and evaluation-on-a-cost-basis capability for technology selection.","PeriodicalId":311790,"journal":{"name":"Journal of Parametrics","volume":"58 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2001-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116498472","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Editorial Board Page","authors":"","doi":"10.1080/10157891.2001.10462599","DOIUrl":"https://doi.org/10.1080/10157891.2001.10462599","url":null,"abstract":"Abstract This article has no abstract","PeriodicalId":311790,"journal":{"name":"Journal of Parametrics","volume":"55 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2001-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114559068","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"A Comparative Study of Model Content and Parameter Sensitivity of Software Support Cost Models","authors":"D. Ferens, Kevin L. Brummert, Philip R. Mischler","doi":"10.1080/10157891.2001.10462602","DOIUrl":"https://doi.org/10.1080/10157891.2001.10462602","url":null,"abstract":"Abstract Software support costs frequently account for about seventy percent of software life cycle costs. This is because software support involves more than corrective support, or error correction (sometimes called “maintenance”). Software support also includes adaptive support, which includes modifying software for a new operating system or database, and perfective support, which includes enhancing the software's performance or capabilities. Unfortunately, software support is often misunderstood and is not defined consistently among various software publications.","PeriodicalId":311790,"journal":{"name":"Journal of Parametrics","volume":"57 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2001-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132724814","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Tailored Risk Management","authors":"Jason A. Dechoretz, J. A. Palmer","doi":"10.1080/10157891.2000.10462596","DOIUrl":"https://doi.org/10.1080/10157891.2000.10462596","url":null,"abstract":"Abstract United Defense is the prime American contractor for Crusader, a high performance self propelled howitzer system for the U S Army and ultimately for other Armies. In managing this Integrated Product and Process Development program, United Defense has utilized an aggressive risk management approach. This approach involves five steps: Identification, assessment and analysis, mitigation, tracking and closure. Each step is briefly described, but emphasis is placed on new methodologies developed to improve the accuracy, acceptance and believability of quantitative technical, cost and schedule risk assessments.","PeriodicalId":311790,"journal":{"name":"Journal of Parametrics","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2000-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134306790","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Cost Engineering for the Future Business Environment","authors":"B. Hilton, A. Williamson","doi":"10.1080/10157891.2000.10462597","DOIUrl":"https://doi.org/10.1080/10157891.2000.10462597","url":null,"abstract":"Abstract Changes in both the political environment leading to reductions in defence budgets, and the commercial environment, with competition creating cost pressures, are forcing companies to concentrate upon reducing cost throughout a product's lifecycle. This focus is especially important during design and development, because of greater pressures on costs and margins and the introduction of new management ideas and technical processes. As well as increasing requirements on the estimators, there are also increasing requirements on the information used by the estimators. This is because the cost models will demand new approaches to information management, beyond the provision of historical cost information, which remains the basis of cost information used today.","PeriodicalId":311790,"journal":{"name":"Journal of Parametrics","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2000-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128367075","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}