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Design and Analysis of Robust Kanban System in an Uncertain Environment

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Book Series: Wissenschaftliche Berichte des Institutes für Fördertechnik und Logistiksysteme des Karlsruher Instituts für Technologie ISSN: 01712772 ISBN: 9783731501176 Year: Volume: 81 Pages: IX, 255 p. DOI: 10.5445/KSP/1000036766 Language: ENGLISH
Publisher: KIT Scientific Publishing
Subject: Technology (General)
Added to DOAB on : 2019-07-30 20:01:58
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Kanban is a representative control policy pursuing cost-efficient features for the material flow system. However, the Kanban mechanism increases the system vulnerability especially when the environment is uncertain. Therefore, we proposed a robust Kanban system model for the supply chain system based on the Kanban mechanism. The model can use robust approaches from strategic, tactical, and operational levels to deal with the risks in an uncertain environment.

Enabling Things to Talk

Authors: --- --- --- --- et al.
ISBN: 9783642404023 9783642404030 Year: Pages: 379 DOI: 10.1007/978-3-642-40403-0 Language: English
Publisher: Springer
Subject: Computer Science --- Electrical and Nuclear Engineering --- Transportation --- Business and Management --- Pharmacy and materia medica --- Biotechnology --- Manufactures --- Media and communication
Added to DOAB on : 2014-02-10 16:18:02
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The Internet of Things (IoT) is an emerging network superstructure that will connect physical resources and actual users. It will support an ecosystem of smart applications and services bringing hyper-connectivity to our society by using augmented and rich interfaces. Whereas in the beginning IoT referred to the advent of barcodes and Radio Frequency Identification (RFID), which helped to automate inventory, tracking and basic identification, today IoT is characterized by a dynamic trend toward connecting smart sensors, objects, devices, data and applications. The next step will be “cognitive IoT,” facilitating object and data re-use across application domains and leveraging hyper-connectivity, interoperability solutions and semantically enriched information distribution.The Architectural Reference Model (ARM), presented in this book by the members of the IoT-A project team driving this harmonization effort, makes it possible to connect vertically closed systems, architectures and application areas so as to create open interoperable systems and integrated environments and platforms. It constitutes a foundation from which software companies can capitalize on the benefits of developing consumer-oriented platforms including hardware, software and services.The material is structured in two parts. Part A introduces the general concepts developed for and applied in the ARM. It is aimed at end users who want to use IoT technologies, managers interested in understanding the opportunities generated by these novel technologies, and system architects who are interested in an overview of the underlying basic models. It also includes several case studies to illustrate how the ARM has been used in real-life scenarios. Part B then addresses the topic at a more detailed technical level and is targeted at readers with a more scientific or technical background. It provides in-depth guidance on the ARM, including a detailed description of a process for generating concrete architectures, as well as reference manuals with guidelines on how to use the various models and perspectives presented to create a concrete architecture. Furthermore, best practices and tips on how system engineers can use the ARM to develop specific IoT architectures for dedicated IoT solutions are illustrated and exemplified in reverse mapping exercises of existing standards and platforms.

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