Piecewise proportional hazards models with interval-censored data

We consider the piecewise proportional hazards (PWPH) model with interval-censored (IC) relapse times under the distribution-free set-up. The partial likelihood approach is not applicable for IC data, and the generalized likelihood approach has not been studied in the literature. It turns out that under the PWPH model with IC data, the semi-parametric MLE (SMLE) of the covariate effect under the standard generalized likelihood may not be unique and may not be consistent. In fact, the parameter under the PWPH model with IC data is not identifiable unless the identifiability assumption is imposed. We propose a modification to the likelihood function so that its SMLE is unique. Under the identifiability assumption, our simulation study suggests that the SMLE is consistent. We apply the method to our cancer relapse time data and conclude that the bone marrow micrometastasis does not have a significant prognostic factor.     

Constructing poverty in anti-welfare Singapore

In recent years, attention on the issue of poverty in Singapore has been increasingly placed in the spotlight. This study examines the various types of attitudes among Singaporeans and how they are formed, relating them to the broader institutional context of Singapore. A mixed method design is employed where clusters or groups of attitudes are derived through the use of cluster analysis. Subsequently, discourses of poverty and welfare attitudes are construed through qualitative interviews with the aid of Foucauldian Discourse Analysis. Quantitative findings point to three clusters of attitudes: ‘Conservatives’, ‘Liberals’, and ‘Sui Generis’. Qualitative findings, however, show that ‘Sui Generis’ ultimately align themselves closer to either ‘Conservatives’ or ‘Liberals’ in their discourses of welfare. In fact, respondents in all three clusters reproduce state discourses, albeit in varying ways. In essence, this study explicates poverty and welfare attitudes as a product of social identities premised on subjective notions that are shaped by state discourses of meritocracy, self-reliance and anti-welfarism. It is thus argued that current socio-political constructions of poverty ensue a paucity of major welfare reform in the near future of Singapore.     

A new two-party bargaining mechanism

If resources and facilities from different partners need to be engaged for a large-scale project with a huge number of tasks, any of which is indivisible, decision on the number of tasks assigned to any collaborating partner often requires a certain amount of coordination and bargaining among these partners so that the ultimate task allocation can be accepted by any partner in a business union for the project. In the current global financial crisis, such cases may appear frequently. In this paper, we first investigate the behavior of such a discrete bargaining model often faced by service-based organizations. In particular, we address the general situation of two partners, where the finite Pareto efficient (profit allocation) set does not possess any convenient assumption for deriving a bargaining solution, namely a final profit allocation (corresponding to a task assignment) acceptable to both partners. We show that it is not appropriate for our discrete bargaining model to offer the union only one profit allocation. Modifying the original optimization problem used to derive the Nash Bargaining Solution (NBS), we develop a bargaining mechanism and define a related bargaining solution set to fulfil one type of needs on balance between profit-earning efficiency and profit-earning fairness. We then show that our mechanism can also suit both Nash’s original concave bargaining model and its continuous extension without the concavity of Pareto efficient frontier on profit allocation.     

The impact of random machine unavailability on inventory policies in a continuous improvement environment

There are production situations where a production facility (e.g. a machine) is used intermittently to produce lot sizes of certain products. Upon completion of production run, the facility may not be available for a random amount of time due to several reasons, such as: the facility needs to be maintained and the maintenance time is random due to unforeseen circumstances; or that the facility is leased by different manufacturers and the demand for the facility is random. As a result of machine unavailability, stock-out situations might arise. This paper extends the work of Abboud et al . (2000, Computers and Operations Research , 27 , 335-351) by assuming learning and forgetting in production. A new mathematical model is developed with numerical examples and sensitivity analysis provided. Furthermore, this paper determines how the overall inventory cost is influenced by the nature of the random variable that represents the unavailability time of the production facility.     

Dynamic selection of dispatching rules for job shop scheduling

Although the academic contribution to job shop scheduling is abundant, its impact on practice has been minimal. The most preferred approach to job shop scheduling in the industry is dispatching rules. A major criticism against dispatching rules is that there is no single universal rule. The effective choice of dispatching rules depends on the scheduling criterion and existing job shop conditions. In this paper, the authors have proposed a scheduling method based on the analytic hierarchy process, that dynamically selects the most appropriate dispatching rule from several candidate rules. The selection is based on the existing job shop conditions. This method is applied to two formal job shop problems, and the results for single dispatching rules are inferior to the method proposed in this paper.     

Early involvement in the design chain—a case study from the computer industry

This work presents a case study of how a design chain, with more than three tiers of organisations (customer, manufacturer, and supplier), can involve its members in the early stages of the design and development process to meet their needs more effectively. A vertical design chain model, consisting of strategy, process and information levels, is adopted to elucidate how a computer company can provide for different customers and use various suppliers to create synergy within the design chain. The results of this study demonstrate that the re-engineering of cross organisation product design flow, product data management software applications and the integration of information from various parties are critical to the early involvement in a vertical design chain. Based on this case study, the proposed early involvement model can shorten the time taken to develop new products and considerably reduce the number of engineering changes for various manufacturers.     

The mediating role of work-to-family conflict in the relationship between shiftwork and depression

Abstract

With significant segments of the working population involved in shiftwork, there is the possibility of serious health outcomes. There are two possible pathways to ill health. In the biological pathway the body's circadian rhythms are affected, leading to physiological disturbances and the inability to cope. By contrast, the aim of this study is to elucidate a social pathway by which shiftwork may lead to mental ill health. It examines the mediating influence of work-to-family conflict in the association between shiftwork and depression. Gender differences are also investigated. The sample included 2,931 Canadian respondents with a spouse and at least one child living at home. Close to 28% of respondents were involved in some form of shiftwork. Structural equation modelling supported partial mediation through work-to-family conflict. Further analyses found that mediation was supported in sub-samples of male and female respondents. The results, however, suggest that the experience of shiftwork is quite similar for men and women as no significant differences were found between mediating models. Overall, the findings support the social explanation of the effect of shiftwork on mental health, but they do not rule out other social or biological pathways.     

New Data,Strategies, and Insights for Listeria monocytogenes Dose‐Response Models: Summary of an Interagency Workshop, 2011

Listeria monocytogenes is a leading cause of hospitalization, fetal loss, and death due to foodborne illnesses in the United States. A quantitative assessment of the relative risk of listeriosis associated with the consumption of 23 selected categories of ready‐to‐eat foods, published by the U.S. Department of Health and Human Services and the U.S. Department of Agriculture in 2003, has been instrumental in identifying the food products and practices that pose the greatest listeriosis risk and has guided the evaluation of potential intervention strategies. Dose‐response models, which quantify the relationship between an exposure dose and the probability of adverse health outcomes, were essential components of the risk assessment. However, because of data gaps and limitations in the available data and modeling approaches, considerable uncertainty existed. Since publication of the risk assessment, new data have become available for modeling L. monocytogenes dose‐response. At the same time, recent advances in the understanding of L. monocytogenes pathophysiology and strain diversity have warranted a critical reevaluation of the published dose‐response models. To discuss strategies for modeling L. monocytogenes dose‐response, the Interagency Risk Assessment Consortium (IRAC) and the Joint Institute for Food Safety and Applied Nutrition (JIFSAN) held a scientific workshop in 2011 (details available at http://foodrisk.org/irac/events/ ). The main findings of the workshop and the most current and relevant data identified during the workshop are summarized and presented in the context of L. monocytogenes dose‐response. This article also discusses new insights on dose‐response modeling for L. monocytogenes and research opportunities to meet future needs.     

Just-in-time purchasing: an empirical investigation

The just-in-time (JIT) literature suggests that, for JIT to be successful, a manufacturing firm has to make changes in its purchasing operations. However, empirical examination of the JIT purchasing related issues is limited. For example, a literature search identified 49 JIT purchasing articles. Of these, only 14 are empirical studies; two dealing with statistical testing of a few JIT purchasing issues. This comprehensive empirical study is undertaken to investigate (a) changes in the purchasing attributes since JIT implementation, (b) supplier evaluation cri-teria, and (c) problems with JIT purchasing implementation. Statistically significant changes are observed in 28 out of 32 attributes identified in the literature, suggesting that the manufacturing firms are successfully implementing JIT purchasing programmes. Of the 14 supplier evaluation criteria, the empirical investigation shows nine of them being important. Erratic demand for the product and customized product are found to be problematic (but not very problematic as suggested in the JIT literature( in JIT purchasing implementation.     

The servant identity: Influences on the cognition and behavior of servant leaders

This paper approaches the study of servant leadership by concentrating on the identity of servant leaders. An identity is important to one's sense of self and it influences the way a leader cognitively processes socially relevant information and exercises a particular leadership behavior in response to a situation. Unlike existing studies, which typically approach servant leadership as one of a number of possible leadership styles, and which merely describe its characteristics, this paper serves to explain the basis for individuals enacting this mode of leadership. This paper defines and elaborates on the servant identity by showing the psychological factors constituting it. Taking a socio-cognitive approach, the paper offers a theoretical framework for the servant identity. The framework encompasses the cognitive and behavioral disposition of leaders with servant identity and the organizational contexts that influence it. This new angle on servant leadership opens avenues for future research and practice.