Faktor-faktor adaptasi logistik terbalik di sektor pembuatan

Dalam dunia yang mempunyai sumber yang terhad, proses pemulihan yang digunakan untuk bahan atau produk adalah kunci untuk menyokong populasi penduduk dalam meningkatkan penggunaan bahan. Pengurangan bahan buangan menjadi kebimbangan kepada industri negara yang berkonsepkan kitaran bahan kerana bahan buangan tersebut merupakan salah satu sumber yang menjana ekonomi industri tersebut. Proses terbalik melibatkan kos yang besar berbanding keuntungan. Perubahan dalam undang-undang untuk melindungi alam sekitar telah memberi kesan kepada ekonomi dan perkhidmatan. Kini, semakin banyak syarikat yang menggunakan proses aliran terbalik untuk pergerakan barangan dalam sistem logistik mereka. Industri pembuatan merupakan industri utama dalam penggunaan aktiviti logistik terbalik. Sistem logistik terbalik merupakan aktiviti yang membentuk proses yang berterusan untuk penggunaan semula produk sama ada digunakan semula ataupun untuk pelupusan. Pembuatan semula ditakrifkan sebagai salah satu kaedah pemulihan yang digunakan untuk produk yang rosak atau bahagian-bahagian yang boleh diperolehi semula dalam keadaan kualiti yang sama dengan produk baharu dan boleh dimasukkan ke dalam produk baharu dan akan dijual semula dalam pasaran sama dengan bahagian atau produk baharu. Aktiviti logistik terbalik sering dilaksanakan oleh pengeluar asal kerana bahan yang digunakan semula diperlukan untuk pengetahuan dalam pengeluaran tertentu. Eltayeb dan Zailani (2010) menyatakan kebanyakan pengeluar di Malaysia tidak berminat untuk menggunakan semula barangan kitar semula atau pelupusan disebabkan oleh perbelanjaan tambahan untuk mengendalikan aktiviti yang berkaitan dengan logistik terbalik

Cognition-Based Networks: A New Perspective on Network Optimization Using Learning and Distributed Intelligence

IEEE Access Volume 3, 2015, Article number 7217798, Pages 1512-1530 Open Access Cognition-based networks: A new perspective on network optimization using learning and distributed intelligence (Article) Zorzi, M.a , Zanella, A.a, Testolin, A.b, De Filippo De Grazia, M.b, Zorzi, M.bc a Department of Information Engineering, University of Padua, Padua, Italy b Department of General Psychology, University of Padua, Padua, Italy c IRCCS San Camillo Foundation, Venice-Lido, Italy View additional affiliations View references (107) Abstract In response to the new challenges in the design and operation of communication networks, and taking inspiration from how living beings deal with complexity and scalability, in this paper we introduce an innovative system concept called COgnition-BAsed NETworkS (COBANETS). The proposed approach develops around the systematic application of advanced machine learning techniques and, in particular, unsupervised deep learning and probabilistic generative models for system-wide learning, modeling, optimization, and data representation. Moreover, in COBANETS, we propose to combine this learning architecture with the emerging network virtualization paradigms, which make it possible to actuate automatic optimization and reconfiguration strategies at the system level, thus fully unleashing the potential of the learning approach. Compared with the past and current research efforts in this area, the technical approach outlined in this paper is deeply interdisciplinary and more comprehensive, calling for the synergic combination of expertise of computer scientists, communications and networking engineers, and cognitive scientists, with the ultimate aim of breaking new ground through a profound rethinking of how the modern understanding of cognition can be used in the management and optimization of telecommunication network

Ethernet - a survey on its fields of application

During the last decades, Ethernet progressively became the most widely used local area networking (LAN) technology. Apart from LAN installations, Ethernet became also attractive for many other fields of application, ranging from industry to avionics, telecommunication, and multimedia. The expanded application of this technology is mainly due to its significant assets like reduced cost, backward-compatibility, flexibility, and expandability. However, this new trend raises some problems concerning the services of the protocol and the requirements for each application. Therefore, specific adaptations prove essential to integrate this communication technology in each field of application. Our primary objective is to show how Ethernet has been enhanced to comply with the specific requirements of several application fields, particularly in transport, embedded and multimedia contexts. The paper first describes the common Ethernet LAN technology and highlights its main features. It reviews the most important specific Ethernet versions with respect to each application field’s requirements. Finally, we compare these different fields of application and we particularly focus on the fundamental concepts and the quality of service capabilities of each proposal

Service Migration from Cloud to Multi-tier Fog Nodes for Multimedia Dissemination with QoE Support.

A wide range of multimedia services is expected to be offered for mobile users via various wireless access networks. Even the integration of Cloud Computing in such networks does not support an adequate Quality of Experience (QoE) in areas with high demands for multimedia contents. Fog computing has been conceptualized to facilitate the deployment of new services that cloud computing cannot provide, particularly those demanding QoE guarantees. These services are provided using fog nodes located at the network edge, which is capable of virtualizing their functions/applications. Service migration from the cloud to fog nodes can be actuated by request patterns and the timing issues. To the best of our knowledge, existing works on fog computing focus on architecture and fog node deployment issues. In this article, we describe the operational impacts and benefits associated with service migration from the cloud to multi-tier fog computing for video distribution with QoE support. Besides that, we perform the evaluation of such service migration of video services. Finally, we present potential research challenges and trends