A Topic Modeling Approach to Study Design Requirements

Risk management is vital to a product’s lifecycle. The current practice of reducing risks relies on domain experts or management tools to identify unexpected engineering changes, where such approaches are prone to human errors and laborious operations. However, this study presents a framework to contribute to requirements management by implementing a generative probabilistic model, the supervised latent Dirichlet allocation (LDA) with collapsed Gibbs sampling (CGS), to study the topic composition within three unlabeled and unstructured industrial requirements documents. As finding the preferred number of topics remains an open-ended question, a case study estimates an appropriate number of topics to represent each requirements document based on both perplexity and coherence values. Using human evaluations and interpretable visualizations, the result demonstrates the different level of design details by varying the number of topics. Further, a relevance measurement provides the flexibility to improve the quality of topics. Designers can increase design efficiency by understanding, organizing, and analyzing high-volume requirements documents in confirmation management based on topics across different domains. With domain knowledge and purposeful interpretation of topics, designers can make informed decisions on product evolution and mitigate the risks of unexpected engineering changes.

Catalytic Conversion of Lignin in an Isopropanol/formic Acid Medium With Nimo Catalyst Promoted by W Species

Background: Large amounts of enzymatic hydrolysis lignin (EHL) are generated with the production of cellulosic bioethanol. Efficient degradation and upgrading of EHL is significant for the sustainable and stable development of energy supply.Results: In this study, hydrodeoxygenation (HDO) of EHL to biofuels was carried out promoted by the in situ hydrogen donor produced from the decomposition of formic acid over NiMo catalysts. Results showed that active sites (derived from the support SiO2, W, and NiMo species) had remarkable effect on lignin conversion, and the highest oil yield (57.2 wt%) was gained over NiMo/W-SiO2 catalyst. Conclusions: The product evolution demonstrated that active metal sites (derived from NiMo species) favored hydrogenolysis and deoxygenation via leading in situ hydrogen to attack C-O-C bonds, while acid sites (derived from the support) adsorbed and activated chemical bonds in lignin, resulting in the linkage cleavage caused by the heating program. The obtained bio-oil was rich in alkyl guaiacols (6.7 wt%), containing stable chemical properties and high quality.

Low-Temperature Catalytic Pyrolysis of Cellulose in Acidic [Bmim]Otf: A Mechanism Model of Product Evolution

In this paper, we studied the catalytic pyrolysis behavior of microcrystalline cellulose (MC) in catalytic systems with acidic [Bmim]OTf as the media at temperatures of 140°C, 180°C, 220°C, 260°C, and 300°C. The pyrolysis behavior was investigated via SEM, XRD, FTIR, and GC-MS. During the catalysis of [Bmim]OTf, the pyrolysis temperature of MC was reduced to 140°C significantly and the crystalline structure of MC was destroyed rapidly. The novel synergistic catalytic effect of CF3SO3- and [Bmim]+ was discovered, which may lead to MC-selective cleavage of glycosidic, C-C, C-O, and C-H bonds, accompanied by new bond formation, which showed the production of many small molecular compounds. Furthermore, a novel mechanism model of evolution in [Bmim]OTf at low temperature was developed from a microscopic point of view. This research had obvious significance for the mechanism of directional regulation of target products, finally realizing the high efficiency utilization of biomass.

Data Set: 187 Weeks of Customer Forecasts and Orders for Microprocessors from Intel Corporation

Problem definition: This data set contains 187 consecutive weeks of Intel microprocessor demand information for all five distribution centers in one of its five sales geographies. For every stock keeping unit (SKU) at every location, the weekly forecasted demand and actual customer orders are provided as well as the SKU’s average selling price category. These data are provided by week and by distribution center, producing 26,114 records in total. Academic/practical relevance: The 86 SKUs in the data set span five product generations. It provides years of product evolution across generations and price points. Methodology: As a data set paper, its purpose is to provide interesting and rich real-world data for researchers developing forecasting, inventory, pricing, and product assortment models. Results: The data set demonstrates the presence of significant forecast bias, heterogeneity of forecast errors between distribution centers, generational differences, product life cycles, and pricing dynamics. Managerial implications: This data set provides access to a rich pricing and sales setting from a major corporation that has not been made available before.

Anisotropic response of the co-crystal of CL-20/TNT under shock loading: molecular dynamics simulation

Anisotropic response of the co-crystal of CL-20/TNT under shock loading is studied by analyzing the changes of thermodynamic parameters, product evolution and cluster evolution.

Linking creative tourism products to markets: target marketing, promotion, commercialization, and market readiness.

This chapter presents a tourism industry perspective about key aspects of market thinking and provides tips and strategies for building a strategic marketing plan for a creative tourism initiative. The visitor profile is examined, not so much as demographic or psychographic (i.e. not what they are, which is explored earlier in this book), but to provide a collection of tools to pinpoint where they are. Market segmentation, the product/market match, and product evolution and lifecycle are then explored. Building on this, four strategies to build business opportunities through partnerships and networks are outlined. Next, key elements of the structure and requirements of the major marketing elements of the tourism industry are discussed, including the issue of market readiness and pricing structures. Bringing these elements together, the chapter closes with guidance about market planning.