14,787 research outputs found

    Design and realisation of an integrated methodology for the analytical design of complex supply chains

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    Supply chain systems are inherently complex and are dynamically changing webs of relationships. Wider product variety, smaller production lot sizes, more tiers and different actors involved in coordinated supply chains also cause supply chain complexity and presents major challenges to production managers. This context has led modern organizations to implement new supply chain paradigms and adopt new techniques to support rapid design, analysis and implementation of the new paradigms. The present research focuses to develop an integrated methodology which can support the analytical design of complex supply chains. [Continues.

    Maintaining systems-of-systems fit-for-purpose: a technique exploiting material, energy and information source, sink and bearer analysis

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    Across many domains, systems suppliers are challenged by the complexity of their systems and the speed at which their systems must be changed in order to meet the needs of customers or the societies which the systems support. Stakeholder needs are ever more complex: appearing, disappearing, changing and interacting faster than solutions able to address them can be instantiated. Similarly, the systems themselves continually change as a result of both external and internal influences, such as damage, changing environment, upgrades, reconfiguration, replacement, etc. In the event of situations unforeseen at design time, personnel (for example maintainers or operators) close to the point of employment may have to modify systems in response to the evolving situation, and to do this in a timely manner so that the system and/or System-of-Systems (SoS: a set of systems that have to interoperate) can achieve their aims. This research was motivated by the problem of designing-in re-configurability to the constituent systems of a SoS to enable the SoS and its systems to effectively and efficiently counter the effects of unforeseen events that adversely affect fitness-for purpose whilst operational. This research shows that a SoS does not achieve or maintain fitness-for-purpose because it cannot implement the correct, timely and complete transfer of Material, Energy and Information (MEI) between its constituents and with its external environment that is necessary to achieve a desired outcome; i.e. the purpose

    Strategy and Profitability: Managing Profits in Inflation Economy

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    The inflation rate in Dubai, United Arab Emirates (UAE) rose to 5-year highs in 2014 and higher by 28% in the first half of 2015. This situation has challenged business managers to sustain business goals. Guided by Kaplan and Norton\u27s balanced scorecard framework. the purpose of this multiple case study was to explore strategies business managers use to maintain profitability with rising operating costs. Two organizations in Dubai, United Arab Emirates were purposefully sampled for this multiple case study. Data were collected through multiple semistructured interviews of a single senior manager from each organization, then triangulated with company e-mails and focus group interviews of 2 junior managers from each of the organizations. All data were analyzed using a 5-phased cycle of compiling, disassembling, reassembling, interpreting, and concluding to understand the emerging patterns. The themes revealed cost reduction initiatives and revenue enhancements initiatives as the key strategies used by the business managers. The approach and direction used in these strategies showed variance based on cost and revenue drivers of the organizations. The findings of the study can be a guide for business managers to understand the essence of effective business strategies that counter challenging economic environments, thus sustaining profitability and developing additional employment opportunities for the surrounding community

    Applicability of Industry 4.0 Technologies in the Reverse Logistics: A Circular Economy Approach Based on COmprehensive Distance Based RAnking (COBRA) Method

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    The logistics sector plays one of the most important roles in the supply chain with the aim of providing a fast, flexible, safe, economical, efficient, and environmentally acceptable performance of freight transport flows. In addition, the popularization of the concept of a circular economy (CE) used to retain goods, components, and materials at their highest usability and value at all times, illustrates the importance of the adequate performance of reverse logistics (RL) processes. However, traditional RL is unable to cope with the requirements of modern supply chains and requires the application of Industry 4.0 technologies, which would make it more efficient. The main aim of this study was to evaluate the applicability of various Industry 4.0 technologies in the RL sector in order to point out the most applicable ones. To solve the defined problem, a novel multi-criteria decision making (MCDM) model was defined by combining the best-worst method (BWM) to obtain the criteria weights, and the newly developed comprehensive distance-based ranking (COBRA) method to rank the technologies. Another aim of the study was to validate the newly established method. The results indicated that the most applicable technologies were the Internet of Things, cloud computing, and electronic-mobile marketplaces. These technologies will have a significant impact on the development of RL and the establishment of CE systems, thus bringing about all the related positive effects

    Product-service systems scenarios simulation based on G-DEVS/HLA: Generalized discrete event specification/high level architecture

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    International audienceIn the past decade, personal customers expected manufacturing companies to provide them with a physical product with, nonetheless, some basic additional services. Currently, customers expect a more comprehensive solution, integrating both a physical product and non-physical services, which explains why companies have started to propose Product-Service Systems (PSS). The underlying objective of profitability can be attained if the system is designed, based on system use, to avoid waste, and if services are developed jointly with products. Although all the requisite conditions are well-known, the optimal way to satisfy them is not formalized or even guided by any clear methodology. This paper proposes to create PSS models to be simulated in different service scenarios based on G-DEVS/HLA. The simulation results provide pointers to help decision maker choose between several PSS design scenarios to be manufactured. A case study from the toy industry is used to illustrate the proposed methodology

    Ground Robotic Hand Applications for the Space Program study (GRASP)

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    This document reports on a NASA-STDP effort to address research interests of the NASA Kennedy Space Center (KSC) through a study entitled, Ground Robotic-Hand Applications for the Space Program (GRASP). The primary objective of the GRASP study was to identify beneficial applications of specialized end-effectors and robotic hand devices for automating any ground operations which are performed at the Kennedy Space Center. Thus, operations for expendable vehicles, the Space Shuttle and its components, and all payloads were included in the study. Typical benefits of automating operations, or augmenting human operators performing physical tasks, include: reduced costs; enhanced safety and reliability; and reduced processing turnaround time
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