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The purpose of this paper is to provide a framework for the development of emergency logistics response models. The proposition of a conceptual framework is in itself not sufficient and simulation models are further needed in order to help emergency logistics decision makers in refining their preparedness planning process.

The paper presents a framework proposition with illustrative case study.

The use of simulation modelling can help enhance the reliability and validity of developed emergency response model.

The emergency response model outcomes are still based on simulated outputs and would still need to be validated in a real‐life environment. Proposing a new or revised emergency logistics response model is not sufficient. Developed logistics response models need to be further validated and simulation modelling can help enhance validity.

Emergency logistics decision makers can make better informed decisions based on simulation model output and can further refine their decision‐making capability.

The paper posits the contribution of simulation modelling as part of the framework for developing and refining emergency logistics response.

The purpose of this paper is to investigate and evaluate the new performance measurement model for the Thai frozen shrimp chain.

The performance measurement model was developed by the combination method between a structural equation modeling and an analytical hierarchy process, which the method confirmed and proved the construction of the framework and identified the important key performance indicators of the chain from different supply chain members’ point of views.

The results showed that the model is reliable and valid as well as being theoretically acceptable on the basis of performance measurement foundations. Furthermore, the financial and the customer perspectives are demonstrated as the first to be prioritized in order to evaluate the performance.

Two limitations should be considered. First, small sample size of this study is a limitation. Hence, further study should consider on enough sample size. A next limitation, different points of view from participants has effect on factor loading which represented minus value on the research model. Therefore, the future research should apply several techniques, such as the fuzzy set and data envelopment analysis.

The contribution of this study is the new performance measurement model which based on the integrated conceptual ideas and the synthesizing methods for evaluating the Thai frozen shrimp chain.

The purpose of this paper is to provide an introduction of the two parts of the Special Edition of the journal devoted to the challenges of humanitarian aid logistics. To achieve this, an overview of the humanitarian logistic field is provided focussing on a number of key areas in which the principles and practices supporting commercial supply network management (SNM) have the potential to offer significant improvement in the efficiency and/or effectiveness of the humanitarian logistics preparation and response.

The paper is based on a conceptual discussion of issues of SNM in a humanitarian aid context, linked to the more specific discussions of the contribution of the research presented by the authors of the papers accepted for the special editions.

The paper discusses the concept of SNM and argues that the fundamental principles that have been the subject of considerable academic scrutiny are equally applicable to the humanitarian logistic field – albeit, in some cases, the specific environment may alter the balance of risk/benefit for particular approaches.

The application of commercial SNM theory and practice has received limited consideration within the humanitarian aid logistics literature to date. This paper is designed to redress this shortfall. As a result, it is hoped that it will act as a catalyst for further research and to widen and deepen the resultant debate with a view to improving the outcome for those affected by current and future disasters.