Remanufacturing: a key strategy for sustainable development

Remanufacturing is a process of bringing used products to "like-new" functional state with warranty to match. It recovers a substantial proportion of the resource incorporated in a used product in its first manufacture, at low additional cost, thus reducing the price of the resulting product. The key remanufacturing problem is the ambiguity in its definition leading to paucity of knowledge and research in the process. Also, few remanufacturing tools and techniques have been developed to improve its efficiency and effectiveness. This paper addresses these issues by describing the findings of in-depth UK case studies, including, a robust remanufacturing definition and an analytic model of the generic remanufacturing business process for improving remanufacturing knowledge and expertise

The Design and Implementation of Manufacturing Infrastructures

Merged with duplicate record 10026.1/822 on 12.04.2017 by CS (TIS)This work addresses the problem of difficulties in the implementation of Computer Aided Production Management systems, and presents a methodology for their implementation which significantly improves on current practice. The methodology provides a structured approach which leads the company through a series of strategic business decisions which establish the context within which the solution must operate. The work focusses attention upon the design of the whole system with respect to the relationship between computerised functions and the infrastructure of human elements which facilitate and govern the system's operation. A model of the tasks involved in production management is presented. The model is used to structure decisions relating to the design of the infrastructure. The research work described proceeded in two distinct stages. In the first stage the author participated with other researchers who jointly developed the framework of the process methodology for CAPM implementation. This stage provides the context for the development of the task model approach to the design of the system, which represents the author's individual contribution (see section 1.8). The task model can be used as a tool to identify the options available for the way each task within production management may be executed, giving the user a basis for the design of a particular system while not advocating any particular solution. By the use of this approach the user is encouraged to consider the options available and to adopt an integrated approach which looks at all areas of production management, not only those for which there is a pressing problem or a tempting solution. This work results in a contribution to the development of the process methodology, the development of a tool in the CAPM task model and a review of the factors involved in the design of a system including both human and computerised elements

Big data analytics capability in supply chain agility: The moderating effect of organizational flexibility

Please note that the full text of the AAM must only appear in the IR once the final version of the article has been published in the journal. If you have any questions about Emerald’s repository policy and how to make a ‘closed deposit’, please contact [email protected] purpose of this paper is to examine when and how organizations build big data analytics capability to improve supply chain agility and gain competitive advantage. We grounded our theoretical framework in two perspectives the dynamic capabilities view (DCV) and contingency theory (CT). To test our research hypotheses, we gathered 173 usable-responses using a pre-tested questionnaire. Our results suggest that big data analytics capability has a positive and significant effect on supply chain agility and competitive advantage. Further, our results support our hypothesis that organizational flexibility has a positive and significant moderation effect on the path joining big data analytics capability and supply chain agility. However, contrary to our belief, we found no support for the moderation effect of organizational flexibility on the path joining big data analytics capability and competitive advantage. The study makes some useful contributions to the literature on big data analytics capability, supply chain agility, organizational flexibility and competitive advantage. Moreover, our results may further motivate future scholars to replicate our findings using longitudinal data

Algumas analogias das Cerâmicas pré-históricas britânicas com as portuguesas.

60 (1-2) Jan.-Jun. 1950, p. 5-16

Antecedents of low carbon emissions supply chains

Purpose: A low-carbon economy is the pressing need of the hour. Despite several efforts taken by the government and large corporations, there is still research to be conducted exploring the role of top management commitment in translating external pressures into responses that help to build low-carbon emissions in supply chains. Design/methodology/approach: The authors have grounded their framework in institutional theory, agency theory and contingency theory. On the basis of existing literature, four hypotheses were drawn. To test these hypotheses, a questionnaire was developed and pre-tested. Finally, statistical analyses were performed to test the research hypotheses using 176 samples gathered using a pre-tested questionnaire following Dillman’s (2007) total design test method. Findings: The results suggest that coercive pressures and mimetic pressures under the mediating effect of top management commitment have a significant influence on organizational response to low-carbon emissions. The authors further note that supply base complexity has moderating effects on the link between top management commitment and organizational response towards low-carbon emissions. Originality/value: This study offers valuable insights to those managers and environmental consultants who view supply base complexity as a limitation. However, the results indicate that supply base complexity may help to enhance the effectiveness of the top management commitment on organizational response towards low-carbon emissions

We’re All Cultural Historians Now: Revolutions In Understanding Archaeological Theory And Scientific Dating

Radiocarbon dating has had profound implications for archaeological understanding. These have been identified as various “revolutions,” with the latest—Bayesian chronological statistical analyses of large datasets—hailed as a “revolution in understanding.” This paper argues that the full implications of radiocarbon (14C) data and interpretation on archaeological theory have yet to be recognized, and it suggests that responses in Britain to earlier revolutions in archaeological understanding offer salutary lessons for contemporary archaeological practice. This paper draws on the work of David Clarke and Colin Renfrew to emphasize the importance of critical considerations of the relationships between archaeological theory and scientific method, and to emphasize that seemingly neutral aspects of archaeological thought are highly laden interpretatively, and have significant implications for the kinds of archaeology that we write