A Simple Algorithm for the Mathematical Programming Approach to Joint Cost Allocation for Decision Making (Demand-Adjusted-Sales-Value Algorithm)*

This paper investigates the mathematical programming (MP) approach for decision making and cost allocation in the context of joint products. Through analysis of the MP approach to marginal-value-based cost allocations, an algorithm is developed to show that the allocations contain two elements: an element that is specific to individual joint products due to differences in demand elasticities, and an element based on relative adjusted sales values. If demand elasticities are identical for all joint products, then the traditional sales value method will generate the same cost allocation as the MP method. The new algorithm, the demand-adjusted-sales-value algorithm (DASV), is especially helpful for solving the MP model with linear demand functions. The DASV algorithm provides an easy way to generate costs that are useful for optimal decision making.     

Diversifying revenue sources in Canada: Are women's voluntary organizations different?

Government policies in Canada have taken a hard right turn, and tax cuts now have priority over investing in social programming. Both federal and provincial governments have been withdrawing from direct service provision, with the expectation that the voluntary sector will fill the gap. At the same time, traditional government support for the voluntary sector has declined, which limits the ability of organizations to meet their current service demands. Using a sample of 645 organizations from across Canada, this article explores the use of revenue diversification as a response to policy changes. The findings indicate that the factors related to voluntary organizations' in Canada embracing revenue diversification to support program delivery differ for organizations run by women and nongendered organizations.     

Optimal Allocation of Observations for Inference on k Ordered Normal Population Means

The optimal allocation of observations when there is a natural ordering in the k normal population means is discussed. It is shown that the design which minimizes the total mean square error of the maximum likelihood estimators in the null case allocates half the observations to each of the two extreme populations. The design is obviously optimal for testing the homogeneity of means against the simple ordered alternative. It is, however, hardly acceptable for the estimation in the nonnull case. It is, therefore, shown that the observations could be allocated to the non-extreme populations according to weights which are proportional to the absolute values of the Abelson and Tukey scores at the same time keeping the minimum local power for testing the simple ordered alternative to be maximal. The design gives also the maximum minimum power, not local, for the alternative in the class of linear tests. It, of course, suffers from a small loss of efficiency for the estimation under the null case but is much better under the nonnull case than the extreme design which allocates half the observations to each of the two extreme populations. Some numerical comparisons of the mean square errors are given.     

A Ridge-Regression Sidelight

A useful matrix result is applied in ridge regression to cast light on the form of the ridge-regression residual sum of squares as a power series in the ridge parameter. An example illustrates that the series may diverge or else converge very slowly, depending on the value of the ridge parameter.     

Healthy Bodies Versus Diseased Bodies: Romance as a Trope of Social Order in Kenyan HIV/AIDS Fiction

Abstract

This paper looks at how romantic discourses have been appropriated and employed as avenues for imagining and suggesting a particular kind of social order in the context of HIV/AIDS in Kenya. Most romance stories can be seen as dealing with emotions but in the texts discussed here, the writers' main focus is on the bodies of the characters. It is those people who carry healthy bodies who eventually succeed in their romantic pursuits while the ill experience failed romance. Individuals who are HIV-positive are represented as “polluting” the social order while those who are HIV-negative are seen as upholding the social order by maintaining a “clean” and healthy nation-state. The paper proposes that romantic relationships are used by the writers selected as strategies of ordering and selecting the healthy from the diseased, consequently proposing some form of containment and maintenance of social order. However, it has to be noted that this representation is framed within ideas that stereotype people as HIV-positive and HIV-negative. In addition, I argue that this ideology can be read as conservative and entrenching certain traditional notions of romance that have come to be associated with control, discipline and therefore setting the limits of sex and sexuality in society.     

Lampshade Game for lean manufacturing

The purpose of this article is to introduce a new simulation game named the ‘Lampshade Game’ that can be helpful in educating students and industry professionals on lean manufacturing principles. The Lampshade Game is an active learning tool that is capable of demonstrating the advantages and disadvantages of some of the key principles of lean manufacturing (such as quality focus, pull system, flexible manufacturing and visual organisation) in comparison to craft and mass manufacturing by manually simulating the production of lampshades for each of the process types. The game enables the comparison of these three manufacturing methods using different operational and financial metrics such as inventory levels, manufacturing cycle time, customer fill rate, production yield and cost and profit. This article describes the game, its objectives, and shares experiences from several classroom implementations including an analysis of pre- and post-surveys.     

The design of experiments for correlated error structures: Layout and robustness

Observations with correlated error structures are sometimes unavoidable. Appropriate designs and analyses are reviewed for such situations. Serious problems can occur if conventional designs and analyses are used when correlated errors and layout are ignored or when the error structure is not known. Robust designs are discussed which guard against these problems.