Searching for the Best Yardstick: Cost of Quality Improvements in the U.S. Hospital Industry

2021 ◽  
Author(s):  
Jong Myeong Lim ◽  
Ken Moon ◽  
Sergei Savin
Keyword(s):  
Hospital Industry ◽  
Quality Improvements ◽  
Cost Of Quality ◽  
The U.S

scholarly journals Aerospace Titanium Alloy Melt Process Quality Improvements

2020 ◽  
Vol 321 ◽  
pp. 04008
Author(s):  
Andrew Woodfield ◽  
Gérard Lemaitre
Keyword(s):  
Titanium Alloy ◽  
Aircraft Engine ◽  
Federal Aviation Administration ◽  
High Density ◽  
Vacuum Arc ◽  
Quality Improvements ◽  
Jet Engine ◽  
Aircraft Accident ◽  
The U.S

This Jet Engine Titanium Quality Committee (JETQC) paper describes industry quality improvements since 1990. Quality refers to freedom from melt-related hard-alpha and high-density inclusions (HDI). JETQC, formed under the auspices of the U.S. Federal Aviation Administration (FAA) following the Sioux City aircraft accident in 1989, is comprised of U.S., E.U. and Japanese aircraft engine manufacturers to address the quality of premium / rotor quality titanium alloy production. Titanium suppliers provide melt-related inclusion data. JETQC focuses on hard-alpha and HDI inclusion rates in premium quality (PQ) titanium alloy products for critical rotating aircraft engine applications. PQ materials typically are produced via triple vacuum arc re-melt (3XVAR) or hearth melt VAR (HMVAR) processes, but more recently, the Skull plus VAR (SVAR) process has been introduced. Hard-alpha rates have continued to decline over the last decade primarily for the HMVAR process. HDI rates declined in the early 90’s, but more recently the overall rate has stayed approximately constant with inclusions confined to the 3XVAR process. Combining the trends for both hard-alpha and HDIs, the HMVAR process has demonstrated in recent years to be higher quality compared with the 3XVAR process.

scholarly journals Does the Profit Motive Make Jack Nimble? Ownership Form and the Evolution of the U.S. Hospital Industry

2005 ◽  
Author(s):  
Sujoy Chakravarty ◽  
Martin Gaynor ◽  
Steven Klepper ◽  
William Vogt
Keyword(s):  
Profit Motive ◽  
Hospital Industry ◽  
The U.S

scholarly journals Does the Profit Motive Make Jack Nimble? Ownership Form and the Evolution of the U.S. Hospital Industry

2005 ◽  
Author(s):  
Sujoy Chakravarty ◽  
Martin S. Gaynor ◽  
Steven Klepper ◽  
William B. Vogt
Keyword(s):  
Profit Motive ◽  
Hospital Industry ◽  
The U.S

How Do We (Actually) Know Our Quality Is Improving?

2018 ◽  
Author(s):  
Justin R. Papp ◽  
William H. Forbes ◽  
Matthew A. R. Yarmuch
Keyword(s):  
Performance Metrics ◽  
Cost Model ◽  
Quality Improvements ◽  
Quality Model ◽  
Quality Performance ◽  
Cost Of Quality ◽  
Business Objectives ◽  
Operational Activities ◽  
The Right ◽  
Operational Excellence

We have all dealt with performance metrics in the pipeline industry. How do we measure operational excellence? Are we prioritizing the right corrective actions? Are our existing metrics fair and driving the right behaviors? Will they recognize success and actually show us and our clients that we are improving? This paper describes how Enbridge Major Projects measures and knows our Quality is improving; how we prioritize, focus, and monitor Quality improvement. Using our roadmap, your organization can transform existing data streams from anecdotal to well established facts that produce actionable results and drive business objectives. To reach this outcome, Enbridge Major Projects quickly matured our Quality Culture by leveraging our strong Safety Culture and habits. On our journey to meaningful overall Quality metrics, Enbridge built a foundation through non-punitive incident reporting using incident resolution tools and a Cost of Quality model. Cost of Quality models can be designed and executed in a variety of ways. This paper will focus on applying a model specifically suited for pipeline construction and operational activities. Key topics to be addressed include: • basic common principles of an overall Cost of Quality model, • various data collection methods to suit the model’s design, and • how a Documented Defects Quality cost model allows Enbridge to identify, prioritize, and monitor Quality improvements focused on preventing recurrence and occurrence of Quality issues. Examples will be provided for common pipeline applications, including valves, pipe, and other commodities and services. This approach has enabled Enbridge Major Projects to prioritize improvement actions and meet business objectives. Applying a Cost of Quality model will enhance your operational excellence and greater adoption would provide the foundation for industry-wide Quality performance metrics that will recognize success and validate that Quality is improving in the pipeline industry.

The low cost of quality improvements in the electricity distribution sector of Brazil

Energy Policy ◽  
2016 ◽  
Vol 97 ◽  
pp. 485-493 ◽  
Author(s):  
Maria Luisa Corton ◽  
Aneliese Zimmermann ◽  
Michelle Andrea Phillips
Keyword(s):  
Low Cost ◽  
Electricity Distribution ◽  
Quality Improvements ◽  
Cost Of Quality ◽  
Distribution Sector

scholarly journals Estimating the marginal cost of quality improvements: The case of the UK electricity distribution companies

2012 ◽  
Vol 34 (5) ◽  
pp. 1498-1506 ◽  
Author(s):  
Tooraj Jamasb ◽  
Luis Orea ◽  
Michael Pollitt
Keyword(s):  
Marginal Cost ◽  
Electricity Distribution ◽  
Quality Improvements ◽  
Cost Of Quality ◽  
The Uk

scholarly journals U.S. Hospital Industry Restructuring and the Hospital Safety Net

2003 ◽  
Vol 40 (1) ◽  
pp. 6-24 ◽  
Author(s):  
Gloria J. Bazzoli ◽  
Larry M. Manheim ◽  
Teresa M. Waters
Keyword(s):  
Health Systems ◽  
Safety Net ◽  
Hospital Industry ◽  
Market Conditions ◽  
Factors Affecting ◽  
Factors Associated ◽  
Weak Institutions ◽  
Hospital Safety ◽  
Market Pressure ◽  
The U.S

The U.S. hospital industry was reshaped during the 1990s, with many hospitals becoming members of health systems and networks. Our research examines whether safety net hospitals (SNHs) were generally included or excluded from these arrangements, and the factors associated with their involvement. Our analysis draws on the earlier work of Alexander and Morrisey (1988), and not only studies factors affecting SNH participation in multihospital arrangements but also updates their earlier study. We constructed measures for hospital market conditions, management, and mission, and examined network and system affiliation patterns between 1994 and 1998. Our findings suggest that larger and more technically advanced hospitals joined systems in the 1990s, which contrasts with 1980s findings that smaller, financially weak institutions joined systems. Further, SNH participation in networks and systems was more common when hospitals faced less market pressure and where only a limited number of unaffiliated hospitals remained. If networks and systems are key parties in negotiating with private payers, SNHs may be going it alone in these negotiations in highly competitive markets.

scholarly journals Quality Cost and Economic Analysis. A Synthesis in the Manufacturing Systems

2021 ◽  
Vol 343 ◽  
pp. 05008
Author(s):  
Elif Ocakci ◽  
Jörg Niemann ◽  
Caius Luminosu ◽  
Alin Artene
Keyword(s):  
Product Life Cycle ◽  
Manufacturing Systems ◽  
Activity Based Costing ◽  
Production Networks ◽  
Quality Improvements ◽  
Quality Cost ◽  
Cost Of Quality ◽  
Continuous Quality ◽  
Cost Identification ◽  
The Cost

The paper performs a literature review on existing models and methodologies to analyse and identify the cost of quality in manufacturing systems. The review shows that existing accounting models are insufficient to identify quality cost in detail in production processes. Existing models also do not cover the entire production activities and therefore need to be extended over the entire product life cycle. The authors therefore develop a new approach by refining and extending the method of activity-based costing to make it applicable for quality cost identification. The proposed methodology can serve as a building block for a later integration into superior supply chain management systems which allow to trigger continuous quality improvements of entire production networks.

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