Introduction to the Special Issue on Humanitarian Operations and Crisis Management

The Genesis of this Special Issue came from the Board of the POMS College on Humanitarian Operations and Crisis Management (HO&CM). It was seen as a necessary initiative to define the field and examine research opportunities. This Special Issue shows that humanitarian operations pose challenges for P/OM researchers and practitioners that differ markedly from those of conventional supply chains associated with profitable enterprises. On the basis of the eight articles in this Special Issue, we have described and demonstrated the unique characteristics of the POM/HO&CM interaction. We have also identified those attributes that tend to overlap with conventional aspects of POM. In addition to wanting to be cost effective, the issue of equity fairness is pervasive in humanitarian operations, and so is the need to always base considerations on “last‐mile logistics,” that is, getting aid to those in most need. Research is essential to determine how to train researchers to scout out and map the territory of the real problems. One of the most vexing problems is the lack of robust data in the humanitarian domain which is as richly varied as the types of disasters that can occur.     

Survival models for fertility evaluation

"Two proportional hazards models for cohort fertility evaluation are constructed. Time-dependent covariates describe sources of heterogeneity between and within women regarding fertility characteristics. In the first model, U.S. birth rates specific to maternal age, race, parity, and birth cohort are used as underlying hazard rates. Covariate effects are estimated by maximizing the full likelihood. In the second model, covariate effects are estimated via Cox regression with stratified underlying hazard rates regarded as unknown nuisance parameters." The authors illustrate the models "with an evaluation of the fertility histories of the wives of workers at a manufacturing plant with potential for hazardous exposure. Adjustments to the U.S. birth rates for maternal age and parity zero experience are required with the first approach. Then, despite differences in the model-specific estimation procedures, the point estimates of the exposure effect and the estimated standard errors from the two models are practically equivalent."     

Commentary on Knowledge Creation and Dissemination in Operations and Supply‐Chain Management

The title of this paper might have been Knowledge Creation and Dissemination in the POM Domain . Instead, these accomplished authors (who shall be dubbed with honorable intentions as RSST) define the POM domain as Operations and Supply‐Chain Management. Thereby, they leave no doubt that the POM domain spans the entire supply chain from shovels in the mine and seeds in the ground to recycled waste that is remanufactured and sold as new (as well as refurbished) products. RSST declare that sustainability of the ecosystem cycle must be achieved (even in the face of disaster conditions) by all institutions. RSST believe that practitioners can be taught the necessary attitudes and skills by business and engineering schools. It is noteworthy that the ecosystem cycle they describe is accompanied by marketing and financial decision cycles running parallel from inception of ideas to the “end of life” closure that starts a new cycle for closed‐loop product planning. For these coexisting, interdependent, all‐encompassing systems, the RSST team leaves no doubt about the evolution of teaching and research opportunities for young POM scholars. These authors focus on the fact that everything that is not morphing is likely to become counterproductive in the not too far future. This is a critical point of view which is based on the fact that the status quo is highly vulnerable. Also, very special is the RSST warning that changes are required in the status quo which must be made without damaging the existing fabric. This non‐disruptive way of doing POM business has been remarkably successful for the cohesion of the field over the past 25 years. There is agreement that it is great to shake things up without tearing those things apart. All of this leads to the conclusion that the advice of these authors (RSST) is correct and valuable. Debate and disputation of these points is encouraged and expected by the RSST team.     

A Risk Assessment for Occupational Acrylonitrile Exposure Using Epidemiology Data

The extensive data from the Blair et al.((1)) epidemiology study of occupational acrylonitrile exposure among 25460 workers in eight plants in the United States provide an excellent opportunity to update quantitative risk assessments for this widely used commodity chemical. We employ the semiparametric Cox relative risk (RR) regression model with a cumulative exposure metric to model cause-specific mortality from lung cancer and all other causes. The separately estimated cause-specific cumulative hazards are then combined to provide an overall estimate of age-specific mortality risk. Age-specific estimates of the additional risk of lung cancer mortality associated with several plausible occupational exposure scenarios are obtained. For age 70, these estimates are all markedly lower than those generated with the cancer potency estimate provided in the USEPA acrylonitrile risk assessment.((2)) This result is consistent with the failure of recent occupational studies to confirm elevated lung cancer mortality among acrylonitrile-exposed workers as was originally reported by O'Berg,((3)) and it calls attention to the importance of using high-quality epidemiology data in the risk assessment process.     

Risk Criteria for Nuclear Power Plants: A Pragmatic Proposal1

Criteria are proposed for both an acceptable upper bound of nuclear power plant risk and a lower bound as a design target. Recognizing that the public risk associated with a power plant can be estimated only by probabilistic analysis of the design features, the spread between the lower design target and the upper bound provides a margin for uncertainty in th probabilistic estimate. The combination of a low probabilistic design target and this margin provides a reasonable expectation that the overall performance will be in the domain of an acceptable risk level. Because the exposure to potential risk is chiefly in the locality of the nuclear station, it is also proposed that compensatory benefits should be provided locally and that these be included as a cost of operation. It is suggested that the upper bound be set at a risk level equivalent to those risks of routine living which are normally accepted, i.e., about 10^-4 deaths per year per person (100 deaths/yr/million). The proposed lower design target is 10^-8 (0.1 deaths/yr/million), about one-hundredth of the minimal risk from the natural hazards all people are exposed to.     

Technological knowledge,curriculum and occupational role potential*

This paper examines technological curricula in terms of their potential to be realized in occupational roles. The more the curriculum is oriented towards roles (as opposed to skills or pure knowledge), the greater the probability that it will be articulated in the labour market and the greater its efficacy and legitimacy. The concept of role has been analytically divided into six components: value commitment, normative, communicative, interactive, role intelligence and proficiency components. Theoretically, the more components are present in a given curriculum, the higher the probability that a given occupational role will be effectively articulated. However, their presence is a necessary but insufficient condition for effective role performance; their integration is of equal, if not greater importance, and the latter is meaningful only when the social context of the articulation is taken into account. It was found that the role components do not appear in a balanced manner in technological curricula investigated in Israel, and some hardly receive any attention. Those that are present are weakly linked to actual economic contexts. Thus, it appears that students in technological education, are socialized to minimal role articulation; ie, they are more likely to implement decontextualized tasks than to assume integral occupational roles.