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Control charts are designed to be effective in detecting a shift in the distribution of a process. Typically, these charts assume that the data for these processes follow an approximately normal distribution or some known distribution. However, if a data-generating process has a large proportion of zeros, that is, the data is intermittent, then traditional control charts may not adequately monitor these processes. The purpose of this study is to examine proposed control chart methods designed for monitoring a process with intermittent data to determine if they have a sufficiently small percentage of false out-of-control signals. Forecasting techniques for slow-moving/intermittent product demand have been extensively explored as intermittent data is common to operational management applications (Syntetos & Boylan, 2001, 2005, 2011; Willemain, Smart, & Schwarz, 2004). Extensions and modifications of traditional forecasting models have been proposed to model intermittent or slow-moving demand, including the associated trends, correlated demand, seasonality and other characteristics (Altay, Litteral, & Rudisill, 2012). Croston’s (1972) method and its adaptations have been among the principal procedures used in these applications. This paper proposes adapting Croston’s methodology to design control charts, similar to Exponentially Weighted Moving Average (EWMA) control charts, to be effective in monitoring processes with intermittent data. A simulation study is conducted to assess the performance of these proposed control charts by evaluating their Average Run Lengths (ARLs), or equivalently, their percent of false positive signals.

Research in the area of forecasting and stock inventory control for intermittent demand is designed to provide robust models for the underlying demand which appears at random, with some time periods having no demand at all. Croston’s method is a popular technique for these models and it uses two single exponential smoothing (SES) models which involve smoothing constants. A key issue is the choice of the values due to the sensitivity of the forecasts to changes in demand. Suggested selections of the smoothing constants include values between 0.1 and 0.3. Since an ARIMA model has been illustrated to be equivalent to SES, an optimal smoothing constant can be selected from the ARIMA model for SES. This chapter will conduct simulations to investigate whether using an optimal smoothing constant versus the suggested smoothing constant is important. Since SES is designed to be an adapted method, data are simulated which vary between slow and fast demand.

When forecasting intermittent demand the method derived by Croston (1972) is often cited. Previous research favorably compared Croston's forecasting method for demand with simple exponential smoothing assuming a nonzero demand occurs as a Bernoulli process with a constant probability. In practice, however, the assumption of a constant probability for the occurrence of nonzero demand is often violated. This research investigates Croston's method under violation of the assumption of a constant probability of nonzero demand. In a simulation study, forecasts derived using single exponential smoothing (SES) are compared to forecasts using a modification of Croston's method utilizing double exponential smoothing to forecast the time between nonzero demands assuming a normal distribution for demand size with different standard deviation levels. This methodology may be applicable to forecasting intermittent demand at the beginning or end of a product's life cycle.

A Bayesian approach to demand forecasting to optimize spare parts inventory that requires periodic replenishment is examined relative to a non-Bayesian approach when the demand rate is unknown. That is, optimal inventory levels are decided using these two approaches at consecutive time intervals. Simulations were conducted to compare the total inventory cost using a Bayesian approach and a non-Bayesian approach to a theoretical minimum cost over a variety of demand rate conditions including the challenging slow moving or intermittent type of spare parts. Although Bayesian approaches are often recommended, this study’s results reveal that under conditions of large variability across the demand rates of spare parts, the inventory cost using the Bayes model was not superior to that using the non-Bayesian approach. For spare parts with homogeneous demand rates, the inventory cost using the Bayes model for forecasting was generally lower than that of the non-Bayesian model. Practitioners may still opt to use the non-Bayesian model since a prior distribution for the demand does not need to be identified.

Butt can be placed within the framework of what George Boyce (1995, pp. 18–19) terms colonial patriotism. Butt's analyses of Ireland's economy and development during the next years brought together the several strands that marked out an Ireland of citizens, an Ireland of sort which has emerged at the turn of the present millennium. What were the influences on Butt and what is his place in the development of political economy? His position is best characterised as eclectic and distinct from the other early holders of the Whately Chair. Drawing upon but not endorsing classical political economy, Adam Smith, Longfield, Jean-Baptiste Say and others, Butt defies pigeonholing. His economic analysis emerged slowly, and initially, there was little hint that he would expand on Longfield's position which essentially was a theory of profit (McGovern, 2000, p. 5). However, Butt moved beyond Longfield's analysis and whereas the latter remained in the classical tradition on free trade, he did not. He expanded Longfield's approach that crucial to the determination of the price of goods was the importance of applying a unit of whatever resource to its marginal use, concluding that the factors of production were remunerated in relation to the utility they created in their least efficient, marginal employment (Boylan & Foley, 2003, Vol. 2, p. 10). His importance, it has been observed, was in drawing attention to the potential resource mobilisation and distribution aspects of protection and in assessing the benefits and weaknesses of protection in relation to the complexity of specific circumstances (Boylan and Foley, 2003, Vol. 3, p. 5). Butt's Whatley lectures have received most attention although it will be suggested that certain of his other writings were as important or even more significant as indicative of his ideas on political economy. In his first Whatley lecture (Butt, 1837a), appropriating the title ‘Introduction’, Butt outlined somewhat verbosely the scope of what he intended to address and adopted the high ground about the purpose of political economy. He declared it was ‘to teach certain truths connected with the social condition of man – it attempts to explain the nature of the causes by which is brought about that singular machinery of society by which Providence has set man to supply each other's wants, and thus receive and confer a mutual benefit’ (1837a, p. 23). Butt addressed the question of production and the creation of ‘utility’. Employing the illustration of cotton stockings, Butt demonstrated the complex interchange required to produce even the most mundane of articles (1837a, pp. 25–26). ‘When you purchase your pair of cotton stockings’, he noted, ‘you are positively commanding for your own personal comfort and accommodation, not only the services of thousands of your cotemporary fellow creatures, but the accumulated results of the labours of generations that have long since passed away’ (1837a, p. 28). Thus, he maintained, political economy ‘teaches the laws which regulate the production, distribution and consumption of wealth’ (1837a, p. 30).

One aspect of forecasting intermittent demand for slow-moving inventory that has not been investigated to any depth in the literature is seasonality. This is due in part to the reliability of computed seasonal indexes when many of the periods have zero demand. This chapter proposes an innovative approach which adapts Croston's (1970) method to data with a multiplicative seasonal component. Adaptations of Croston's (1970) method are popular in the literature. This method is one of the most popular techniques to forecast items with intermittent demand. A simulation is conducted to examine the effectiveness of the proposed technique extending Croston's (1970) method to incorporate seasonality.

The Bureau of Economics in the Federal Trade Commission has a three-part role in the Agency and the strength of its functions changed over time depending on the preferences and ideology of the FTC’s leaders, developments in the field of economics, and the tenor of the times. The over-riding current role is to provide well considered, unbiased economic advice regarding antitrust and consumer protection law enforcement cases to the legal staff and the Commission. The second role, which long ago was primary, is to provide reports on investigations of various industries to the public and public officials. This role was more recently called research or “policy R&D”. A third role is to advocate for competition and markets both domestically and internationally. As a practical matter, the provision of economic advice to the FTC and to the legal staff has required that the economists wear “two hats,” helping the legal staff investigate cases and provide evidence to support law enforcement cases while also providing advice to the legal bureaus and to the Commission on which cases to pursue (thus providing “a second set of eyes” to evaluate cases). There is sometimes a tension in those functions because building a case is not the same as evaluating a case. Economists and the Bureau of Economics have provided such services to the FTC for over 100 years proving that a sub-organization can survive while playing roles that sometimes conflict. Such a life is not, however, always easy or fun.

This chapter proposes a global agenda to eliminate racism in nursing by targeting reform at nursing education administration internationally. First, the history of racism in nursing is reviewed, along with two models – the diversity model and the cultural competence model – that were applied unsuccessfully to counteract racism in nursing. Second, a description of how racism is entrenched in nursing leadership globally is presented. Third, the recalcitrant structures that serve to maintain institutionalized racism (IR) in the international nursing education system are carefully examined. Specifically, the components and constructs involved in IR in nursing education are delineated, and the way in which these negatively impact both ethnic minority (EM) students and faculty are explained. Based on this, a global agenda to eliminate racism in nursing education internationally is proposed. Eliminating racism in higher education in nursing is a mandatory social responsibility if global healthcare is ever to be equitable. Five actionable recommendations are made to eliminate racism in higher education are summarized as follows: (1) components of nursing programs which are designed to eliminate racism in nursing education should be governed at the country level, (2) to design and implement a system of surveillance of the global nursing community to enable standardized measurement to ensure nursing education programs in all countries are meeting anti-racism benchmark targets, (3) nursing education programs should be established worldwide to provide individual pipeline and mentorship programs to ensure the career success of EM nursing students and faculty, (4) nursing education programs should be conducted to reduce barriers to EM participation in these individual support programs, and (5) nursing education programs are required to teach their nursing faculty skills in developing anti-racist curricula that seeks to eliminate implicit bias.

Our aim is to better understand access to finance and financial inclusion and how this impacts the development of female-run enterprises in Nigeria. In such a way, we can better understand the gendered context of entrepreneurship and the implications for business growth. This chapter adopts an interpretivist paradigm to explore the social reality within which entrepreneurship is enacted. Qualitative data are interpreted from semi-structured interviews of 10 Nigerian entrepreneurs, five males and five females. Findings reveal that, though structural support may be apparent, the entrepreneurial process of financing a business is characterised, in part, by social expectations of gender. It is through this social view of entrepreneurship that we provide an understanding of what it is to be entrepreneurial in practice. This chapter makes recommendations that in practice while financial institutions and policy makers may assume a ‘one size fits all’ approach to financial inclusion through different programmes currently available for entrepreneurs by the various governmental and non-governmental institutions in Nigeria, the context of gender has implications for the nature of business activity, particularly in a society characterised by patriarchy. This study also makes practical contributions for research and for practice.

The research uncovers an increase in the disapproval of Congress and a drop in public trust in government associated with exposed congressional corruption in the post-Watergate era. The tools Congress holds to punish members caught up in scandal are discussed and the chapter considers five major scandals to rock Congress since the 1970s. Importantly, we uncover evidence that government institutions and actors are somewhat resilient and can bounce back after experiencing negative public sentiment for a period of time. Yet, it seems in the aftermath of exposed corruption, the corresponding drop in public support has policy implications. We determine that movement in public disapproval of Congress and overall trust in government help explain public law output and the ability of Congress to pass its contemporary legislative agenda.