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Using Multivariate Statistics

1. Introduction and Overview. 2. Detecting Influential Observations and Outliers. 3. Detecting and Assessing Collinearity. 4. Applications and Remedies. 5. Research Issues and Directions for Extensions. Bibliography. Author Index. Subject Index.

Regression Diagnostics: Identifying Influential Data and Sources of Collinearity

行銷硏究 : Marketing research

Power Aware Routing in Mobile Ad Hoc Networks

Kaizen: The key to Japan‚s competitive success

Organizational learning paths based upon industry 4.0 adoption: An empirical study with Brazilian manufacturers

Purpose – The purpose of this paper is to encourage the integration of Lean principles with reliability models to sustain Lean efforts on a long‐term basis. It seeks to present a modified FMEA that will allow Lean practitioners to understand and improve the reliability of Lean systems. The modified FMEA approach is developed based on the four critical resources required to sustain Lean systems: personnel, equipment, materials, and schedules.Design/methodology/approach – A three‐phased methodology approach is presented to enhance the reliability of Lean systems. The first phase compares actual business and operational conditions with conditions assumed in Lean implementation. The second phase maps potential deviations of business and operational conditions to their root cause. The third phase utilizes a modified Failure Mode and Effects Analysis (FMEA) to prioritize issues that the organization must address.Findings – A literature search shows that practical methodologies to improve the reliability of Lean...

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A modified FMEA approach to enhance reliability of lean systems

This paper aims at examining the trends, challenges and theoretical gaps in the implementation of Healthcare 4.0 (H4.0) based on a scoping review of the literature. For that, we searched journal ar...

Healthcare 4.0: trends, challenges and research directions

Literature provides numerous examples of the effectiveness of Lean operations (Lean) in increasing the competitive posture of manufacturers. However, less obvious is the impact of Lean on the environmental performance of the manufacturer. A methodology is proposed that allows one to articulate the complex relationship between Lean principles and their overall environmental impacts for specific processes. A case study illustrates the application of the methodology to the metal cutting industry using single and/or multipoint cutting.

En-Lean: a framework to align lean and green manufacturing in the metal cutting supply chain

Citing the myriad applications of nanotechnology, this paper emphasizes the need to conduct ―life cycle‖ based assessments as early in the new product development process as possible, for a better understanding of the potential environmental and human health consequences of nanomaterials over the entire life cycle of a nano-enabled product. The importance of this reasoning is further reinforced through an illustrative case study on automotive exterior body panels, which shows that the perceived environmental benefits of nano-based products in the Use stage may not adequately represent the complete picture, without examining the impacts in the other life cycle stages, particularly Materials Processing and Manufacturing. Nanomanufacturing methods often have associated environmental and human health impacts, which must be kept in perspective when evaluating nanoproducts for their ―greenness.‖ Incorporating life-cycle thinking for making informed decisions at the product design stage, combining life cycle and risk analysis, using sustainable manufacturing practices, and employing green chemistry alternatives are seen as possible solutions.

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Rapinder Sawhney

Papers

Organizational learning paths based upon industry 4.0 adoption: An empirical study with Brazilian manufacturers

A modified FMEA approach to enhance reliability of lean systems

Healthcare 4.0: trends, challenges and research directions

En-Lean: a framework to align lean and green manufacturing in the metal cutting supply chain

Sustainable Nanotechnology: Through Green Methods and Life-Cycle Thinking