Surveys in Operations Research and Management Science最新文献

The need for controlling and effectively managing credit risk has led financial institutions to excel in improving techniques designed for this purpose, resulting in the development of various quantitative models by financial institutions and consulting companies. Hence, the growing number of academic studies about credit scoring shows a variety of classification methods applied to discriminate good and bad borrowers. This paper, therefore, aims to present a systematic literature review relating theory and application of binary classification techniques for credit scoring financial analysis. The general results show the use and importance of the main techniques for credit rating, as well as some of the scientific paradigm changes throughout the years.

Humanitarian organizations (HOs) supply goods and services to people in need, using funds provided by donors supporting their mission. Funding systems, funds, and their characteristics have a very strong impact on the success of HOs in fulfilling their and donor needs. A wide variety of articles exists on humanitarian supply chain management (HSCM) and on managing and raising donations. However, a limited, yet growing, branch of literature explores topics in the new field of the interface between funding and HSC. This article provides an overview of research in this field and tries to capture how it has been developing. We achieve this overview through structuring the core issues discussed in the literature into a funding—humanitarian supply chain (HSC) interface framework. The framework leads to the identification of research gaps and promising areas for future research. The article raises awareness of the importance of carefully evaluating decisions related to funding systems and provides researchers and practitioners interested in this topic with guidance with respect to the core issues to be considered.

With an increase in computational power, and with recent advances in software, practitioners are formulating ever more complicated optimization models, many of which are drawn from interdisciplinary applications and are designed to reflect the details of real-world systems. While such models have proven useful in providing implementable solutions with a verified impact, they are also more cumbersome to document in a clear and concise manner. In this paper, we recommend: (i) conventions for defining sets, parameters, and variables, (ii) ways of presenting the objective and constraints, and (iii) means by which to organize formulations. While other conventions may be perfectly acceptable, we suggest one set of guidelines for graduate students, academics, and practitioners in need of clearly and easily presenting a large, complex optimization model. Self-study and/or the introduction of these principles into an applied, advanced graduate class can remove ambiguity from model formulations and improve the communication between modelers and their intended audience.

This manuscript provides a survey of 343 literature reviews of the last 15 years (2000 through 2014) in Operations Research and Management Science. It provides information on journals that are publishing literature reviews, volume trends, geographic sources of literature reviews, and citation analysis for the surveys. It further provides an analysis of topical coverage and relationships between areas of research. Finally, it suggests subject areas that may be ripe for more extensive survey coverage.