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Openness is critical to long-term cleanup and stewardship of former nuclear weapons manufacturing facilities. Openness is especially challenging in such facilities because a culture of secrecy has dominated them since the earliest days of nuclear weapons development. This paper describes a multi-year effort at the Hanford Site called the Hanford Openness Workshops. The Workshops were convened to address and resolve issues impeding the availability and understanding of information important to public health, the environment, and decision–making. Lessons from the workshops can improve dialogue about nuclear waste cleanup and long-term stewardship among regulators, decision makers, stakeholders, and Tribes.

In this paper, we discuss methods to integrate ecological resources, ecosystem services, risk, and the transition to long-term stewardship on Department of Energy lands. Three types of information are required about ecological resources before decisions can be made about remediation, site transitions, and long-term stewardship: (1) the ecological resources and ecosystem functions (such as productivity) present on site and their spatial pattern, (2) the ecosystem services these resources provide to people, and (3) the risks from the interactions between people and these ecosystems. Once the ecological resources and ecosystem services are evaluated, then decisions about future land use, preservation, conservation, or protection of ecological resources within a designated land use can be implemented. Long-term stewardship requires both ecosystem protection in terms of biological resources and ecosystem function as well as biomonitoring to ensure minimal radiological or chemical risk and to inform future management. In some cases, protection of ecological resources may be preferable to cleanup that is physically disruptive, provided land use designation is consistent with ecological protection. In such instances, less site cleanup can prove preferable to more.

The Hanford site, in Washington State, presents a large-scale test for long-term stewardship of residual radioactive and chemical contamination. Large quantities of waste and contaminated materials will remain in perpetuity near the land's surface and the Columbia River, making Hanford perhaps the most complex long-term stewardship challenge among former weapons production sites. This paper explores the scope of contamination, the Department of Energy's approach to cleanup, the likely residuals requiring long-term stewardship, and the issues that are thus raised. Expectations with respect to long-term land uses, the likely durability of institutional controls, and funding, information management, and accountability have long been influenced by mistrust and tension between local communities, regulators, tribes, and the Department of Energy (DOE). Despite positive steps by DOE such as the creation of the Office of Legacy Management, DOE's dependence upon annual appropriations, its sovereign immunity with respect to key state and local land use regulations, and recent policy pronouncements that cast doubt on the willingness to respond to unanticipated problems with additional cleanup, all leave doubt in the minds of regulators and communities that DOE can be counted upon to be both proactive and accessible once cleanup is complete.

The purpose of this article is to provide an extensive review of the barriers faced by engineers when applying design of experiments (DoE). The aim is to help new practitioners learn from the past and avoid possible barriers that they may encounter when applying DoE in industry.

An exhaustive literary review was carried out to find articles in which hindrances to the application of DoE were mentioned. The information is organised and grouped into 16 barriers with this end in mind.

The 16 barriers can be classified into three different groups: business barriers; educational barriers; and technical barriers. It is shown that DoE can be successfully applied without overcoming every barrier, although it is inconvenient to do so.

Although DoE is commonly found in statistics and quality literature, it is clearly underused in industry. The paper brings together ideas from those with experience in DoE to detect the reasons behind this anomaly.

Very little material has been published regarding the difficulty of applying DoE. Unfortunately, what is available is repetitive, unstructured and incomplete. The paper is intended to encourage discussion between practitioners and experts, in order to find a way to define, categorise and eventually overcome the most problematic barriers.

The purpose of this study is to develop a practical method for training students how to conduct statistical analysis and do a course project in design of experiments (DOEs) course through the Web-based virtual catapult simulation.

A step-by-step sequential DOE process for investigating the effects of controllable factors on quality characteristic responses was presented as a guideline for conducting a DOE course project. Each team was assigned to create an innovative teaching material and work on the term report by following the recommended guidelines for designing experiments through the Web-based virtual catapult simulation. Hypothesis was defined to test whether doing a course project based on this approach would impact students’ learning outcome.

The Web-based virtual material was an alternative technique for interactive teaching that could improve students’ understanding and achievement in DOE course projects. There was a significant difference in student learning and understanding before and after doing on the course project through the Web-based virtual catapult simulation. The students had improved communication and teamwork skills after following the recommended procedure for practicing DOEs.

Most students could effectively conduct designing experiments, carry out designed experiments, analyze data and gain valuable teamwork experience. After learning the DOE approach based on the catapult simulation, they enjoyed working on their course projects deploying to the innovative toys and other real-life situations with real measurements.

The use of Web-based virtual material, including catapult simulation, was an alternative technique for interactive DOE teaching to improve the students’ understanding and achievement in DOE course projects.

The purpose of this paper is to present some fundamental and critical differences between the two methods of experimental design (i.e. Taguchi and classical design of experiments (DOE)). It also aims to present an application of Taguchi method of experimental design for the development of an optical fiber sensor in a cost effective and timely manner.

The first part of the paper shows the differences between classical DOE and Taguchi methods from a practitioner's perspective. The second part of the paper illustrates a simple framework which provides guidance in the selection of a suitable DOE strategy. The last part is focused on a simple case study demonstrating the power of Taguchi methods of experimental design.

One of the key questions from many quality and production related personnel in organisations are “when to use Taguchi and Classical DOE?”. The purpose of this paper is to make an attempt to address the above question from a practitioner's perspective.

The case study is based on Taguchi method of experimental design. It would be great to see the results of the study if classical DOE is performed to this study.

The paper will be an excellent resource for both research and industrial fraternities who are involved in DOE projects.

Case study and frame work.

The purpose of this paper is to address misconceptions about the design of experiments (DoE) usefulness, avoid bad practices and foster processes’ efficiency and products’ quality in a timely and cost-effective manner with this tool.

To revisit and discuss the hindrances to DoE usage as well as bad practices in using this tool supported on the selective literature from Web of Science and Scopus indexed journals.

A set of recommendations and guidelines to mitigate DoE hindrances and avoid common errors or wrong decisions at the planning, running and data analysis phases of DoE are provided.

Errors or wrong decisions in planning, running and analyzing data from statistically designed experiments are always possible so the expected results from DoE usage are not always 100 percent guaranteed.

Novice and intermediate DoE users have another perspective for developing and improving their “test and learn” capability and be successful with DoE. To appropriately plan and run statistically designed experiments not only save the user of DoE from incorrect decisions and depreciation of their technical competencies as they can optimize processes’ efficiency and products’ quality (reliability, durability, performance, robustness, etc.) in a structured, faster and cheaper way at the design and manufacturing stages.

DoE usefulness will be increasingly recognized in industry and academy and, as consequence, better products can be made available for consumers, business performance can improve, and the link between industry and academy can be strengthened.

A supplemental perspective on how to succeed with DoE and foster its usage among managers, engineers and other technical staff is presented.

The purpose of this study is to critically evaluate the current status of Design of experiments (DoE) in the service industry or non-manufacturing processes in the manufacturing sector. This involves the identification of critical success factors and challenges in the use of DoE in the context of the service industry as well as the key skills needed for its successful applications.

In order to identify the critical success factors and challenges, an online survey instrument was developed and distributed across Six Sigma Black Belts (SSBB), Six Sigma Master Black Belts (SSMBB), process improvement champions, continuous improvement professionals, DoE experts and specialists as well as academics who are involved in DoE research and applications.

A total of 109 participants from over 20 countries responded to the study. One of the first findings of the study is that over 40% of the process improvement professionals in the service sector do not have any hands-on experience with the application of DoE. Further, this study highlights the following critical factors for successful DoE applications: dedicating adequate resources in terms of time, budget and people for the experiment; getting a clear understanding of the problem at hand; securing a reliable and validated measurement system for measuring the response or quality characteristics of interest; and identifying input independent variables, which influence the quality characteristics during the brainstorming stage. Some respondents also mention the importance of having training or education in DoE as a critical success factor. At the same time, the lack of adequate planning to experimentation, mathematical knowledge and statistical reasoning remains as challenge to be solved.

As data were collected at an individual level, inter-reliability, which measures the consistency of judgements on a particular survey item, could not be gauged. Moreover, due to low sample size across some continents, an intercontinental comparative study on the extent of the application of DoE across various continents could not be performed.

To the best of the authors’ knowledge, this is the first global survey carried out to understand the status of DoE in the service industry. The results of the global study can be used to encourage quality, continuous improvement and process improvement professionals in the service sector to drive wider acceptance of one of the most powerful tools in the Six Sigma toolkit for problem-solving scenarios. Moreover, senior managers in the service industry can take away some of the key benefits, challenges and success factors in the implementation of DoE.

This paper offers a personal perspective on the author's experience working with issues relating to the long-term management of nuclear contaminated sites, from the programmatic to the site-specific. Long-term care is and will be far more challenging than remediation activities; thus, the dynamics of long-term care require different approaches to problem solving. The need for nonlinear thinking will challenge management that has traditionally relied on linear approaches. Integrated risk management potentially offers some powerful and flexible tools for identifying and managing uncertainties. Managing uncertainties involves not only traditional budget, schedule, cost, and worker safety issues, but also other influences that are not easily quantifiable, including regulatory, cultural, social, political, legal, and “quality” issues. Understanding and incorporating changes in social context is critical to the planning and implementation processes of long-term care; the Department of Energy (DOE) must utilize processes that have consistency over time and that involve the public throughout the process. Management in the long term must reflect an understanding of how human systems function and how they couple with technological systems. DOE's relative success with its Uranium Mill Tailings Remedial Action Program exhibits some of these components. Many are now recognizing these components as key needs for any long-term care program for long-lived hazards.

The purpose of the article is to present the results of a critical literature review (CLR) on Design of experiments (DoE) in the service industry.

A critical review of existing literature review across various databases including Scopus, Web of Science, Google Scholar and Emerald Insight were searched for the identification of relevant papers. The authors searched relevant journal articles for a time period of 25 years (1994–2019).

A total of 29 industry case studies of DoE applications were identified spanning healthcare, retail, logistics, education, marketing, after sales and catering business. The industrial experimentation strategies adopted by the case study organisations were screening, factorial designs, Taguchi, response surface method and split-plot. It was apparent that there are only a handful number of papers showing the applications of DoE across the service sector and this motivates for pursuing further research into this topic by the authors.

The findings of the study can be very useful for middle and senior managers to understand the benefits of implementing this powerful technique for increased understanding of service processes, as well as for optimising service performance. Moreover, the paper presents some of the fundamental challenges, as well as skills needed for the successful application of DoE.

To the best of our knowledge, this is the first CLR on DoE and its applications in the service sector. The findings of the study can be beneficial to both academic and industrial communities to understand some of the challenges and fundamental gaps which need to be tackled in the future.