Purpose This paper aims to focus on supply chain quality (SCQ) in the hospitality industry in China, and to stress the importance of the synergy of quality management (QM) and supply chain management (SCM). The authors have investigated the relationship among QM practices, SCM practices, SCQ and hotel performance, and examined the effect of contextual variables. Design/methodology/approach This study mainly uses a questionnaire survey to collect data relating to the research hypotheses. Structural equation model technique is suited for our research purposes, and the LISREL software is implemented to test the conceptual model. Findings The results show that QM practices and SCM practices are significantly correlated. QM practices/SCM practices are positively related to SCQ, and consequently influence hotel performance. SCQ has the mediating effect between QM/SCM practices and hotel performance. Contextual variables truly play a moderator between QM/SCM practices and SCQ. Research limitations/implications Hotel managers should look beyond their own hotels into supply chain to manage quality, highlight the importance of interdepartmental or external (i.e. customers or suppliers) connectedness, such as building close and long-term relationships with well-chosen suppliers, encouraging customer involvement and establishing an effective interface for accumulating information regarding customers’ needs and feedback. Hotel managers are also able to realize the influence of contextual variables (e.g. the new normal state of the Chinese economy), and further to gain chance of hotel’s survival. Originality/value This study focuses on SCQ and tries to fill a gap in the exiting literature on SCQ management in hospitality industry.

Two novel isomeric cocrystals based on 4,6,8,10,12hexanitrohexaazaisowurtzitane) and MDNI (1-methyl-dinitroimidazole) isomers including a 1:1 CL-20/2,4-MDNI (1) and a 1:1 CL-20/4,5-MDNI (2) were obtained. These cocrystals have high densities, high predicted detonation properties, and low impact sensitivities with excellent thermal stabilities, for example, 2 (ρ: 1.882 g cm −3 ; D: 8915 m s −1 , P: 35.88 GPa; IS: 11 J) exhibits excellent comprehensive performances. Notably, adopting the isomer as a coformer for constructing energetic cocrystals or even new cocrystal forms and further tuning properties represents a study orientation of explosives that is not yet exploited in the energetic material field.

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The robust parameter design of industrial processes and products on the basis of the concept of building quality into a design has attracted much attention from researchers and practitioners for many years, and several methods have been studied in the research community. Dual response surface methodology is one of the most commonly used approaches for simultaneously optimizing the mean and the variance of response in quality engineering. Nevertheless, when the relationship between influential input factors and output quality characteristics of a process is very complex (e.g. highly nonlinear and noisy), traditional approaches have their limitations. In this article, we introduced support vector regression, kriging model, and radial basis function, which are commonly used in computer experiments, into robust parameter design, and especially introduced a new strategy that builds the dual response surface using the ensemble of surrogates, which can provide a more robust approximation model. We demonstrated the advantages of kriging, support vector regression, radial basis function, and the ensemble of surrogates by reinvestigating the dual response approach on the basis of parametric, nonparametric, and semiparametric approaches, and a simulation experiment is studied. The results show that our presented models can achieve more desirable results than parametric, nonparametric, and semiparametric approaches in terms of fitting and predictive accuracy, and the optimal operating conditions recommended by our presented models are similar to those recommended in literature, which indicates the validation of our presented models. Copyright © 2012 John Wiley & Sons, Ltd.

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Loss function approach is effective for multi‐response optimization. However, previous loss function approaches ignore the dispersion performance of squared error loss and model uncertainty. In this paper, a weighted loss function is proposed to simultaneously consider the location and dispersion performances of squared error loss to optimize correlated multiple responses with model uncertainty. We propose an approach to minimize the weighted loss function under the constraint that the confidence intervals of future predictions for the multiple responses should be contained in specification limits of the responses. An example is illustrated to verify the effectiveness of the proposed method. The results show that the proposed method can achieve reliable optimal operating condition under model uncertainty. Copyright © 2013 John Wiley & Sons, Ltd.

A new energetic cocrystal (1), composed of 1,3,5-trinitrobenzene (TNB) and 1-methyl-2,4-dinitroimidazole (2,4-MDNI), was synthesized for the first time via rapid cocrystallization by exploiting differential solubility. Further, this method was extended to scale-up of the high-performance of CL-20 (2,4,6,8,10,12-hexanitrohexaazaisowurt-zitane)/MTNP (1-methyl-3,4,5-trinitropyrazole) energetic cocrystal (2) on the 100 g scale in a fast and simple way, which is another larger preparation scale in energetic cocrystal fields. The investigations of thermodynamics and kinetics for coprecipitation crystallization indicate that the solubility ratios of a cocrystal to pure components (R) associated with the Gibbs free energy (ΔG form) offer valuable insights into the selection of suitable components for further cocrystal design and synthesis by the proposed method. Additionally, cocrystal 2 exhibited good experimental comprehensive performances, making it a potential candidate instead of HMX (1,3,5,7-tetranitro-1,3,5,7-tetrazacyclooctane) in the future. Hence, rapid cocrystallization opens up an efficient, simple, and scalable method to manufacture energetic cocrystals on a high industrial production scale for future practical applications.

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