Titlebook: Evaluation of Supply Chain Performance; A Manufacturing Indu Liliana Avelar-Sosa,Jorge Luis García-Alcaraz,Aidé Book 2019 Springer Internat

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Einführung in die klassische Elektrodynamikd performance in a clearly industrial context. First, the chapter discusses some definitions of supply chain performance. Then, performance benefits are explored along with their measurements and role within the industry. It is important to mention that the attributes used in this book to measure pe

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https://doi.org/10.1007/978-3-322-84990-8 multivariate techniques; then, we discuss the goal and the characteristics of the methods employed in this research, which include linear regression and factor analysis. The goal of this chapter is to better understand Chap. ., which provides a comprehensive description of the methodology followed

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intangibility

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Einführung in die klinische Neurophysiologiechapter introduces a series of structural equation models to assess the relationships between three types of supply chain risk factors—supply risks, demand risks, production process risks—and supply chain performance indices. The models are measured and tested as described in the methodology chapter

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https://doi.org/10.1007/978-3-322-98479-1nfrastructure and services costs, services, service quality, and the role of the government as regulator. First, we develop simple models associating two latent variables each: one regional aspect and one supply chain performance benefit. Then, we propose more complex models to depict the interactio

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https://doi.org/10.1007/978-3-322-85526-8sidered as research hypothesis and are validated using data collected from the Mexican export-oriented manufacturing industry. The evaluation results indicate that . are essential in supply chain . but are also a source of uncertainty for manufacturing industries. In other words, aspects such as inf

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Rechnerische Behandlung der Zeitvektoren, management (TQM), just in time (JIT), machinery and equipment maintenance, and advanced manufacturing technology (AMT). The relationships between these manufacturing practices and supply chain performance benefits are proposed in a series of models. They are later tested and evaluated to determine

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Einführung in die lineare Algebrafits. The third one is a second-order model that associates all the regional impact factors, manufacturing practices, and supply chain benefits studied in previous chapters. Each model proposes its own hypotheses to relate the latent variables. Such hypotheses are statistically tested and validated

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Systeme von linearen Gleichungen,nformation on how the supply chain is managed. Similarly, classifying performance into its different categories will allow this chapter to clearly address evaluation methods in the manufacturing industry.