مقاله انگلیسی رایگان در مورد بهینه سازی پویا برای IoT فعال لجستیک معکوس پایدار – الزویر ۲۰۱۸

Logistics tasks have shown great growth with the rapid development of logistics industry as well as related industries such as E-commerce. Consequently, the dramatically increasing demands of logistics, the sustainable cost-efficiency policies related to the logistics, and the cost-profit and environmental pressure of logistics enterprises have forced enterprises to examine their current strategic decision-making on the logistics operation and distribution. Therefore, the value of reverse logistics in a sustainable way is emerging [1]. The environment and economy, as two main pillars of the sustainability, are emphasized in the sustainable systems and life cycle sustainability assessment [2]. However, the typical challenges that the sustainable reverse logistics is facing are how to construct real-time information sensing model to acquire the real-time and accurate information of logistics resources actively, how to implement the sustainable optimisation configuration of logistics resources based on the logistics enterprises information integrated system (EIS), and how to reach real-time information-driven dynamic optimisation for logistics tasks and vehicles with the objectives of reducing logistics cost and energy consumption, alleviating environmental pollution, and achieving sustainable reverse logistics. The Internet of Things technology (IoT) is a promising technology that has been applied in the manufacturing process for sensing and capturing real-time manufacturing resources data. The acquiring and sharing of real-time information of logistics activities is also the essential of the collaboration of logistics resources. Radio frequency identification (RFID)- enabled real-time information tracking infrastructure was developed to address the real-time data capturing and manufacturing information processing for the extended enterprises [3,4]. The configuration of IoT environment is the key component of the IoT-based real-time information sensing model. After capturing the dynamic information of logistics resources, instead of directly entering optimisation stage, adaptive controlling mechanisms were entailed to achieve the added value and management of real-time information [5]. Then, the framework of the Internet of Manufacturing Things to share the real-time manufacturing information, and a sensordriven remote real-time monitoring provided a good technological reference for sharing and monitoring the realtime status of logistics resources so that real-time decisionmaking of logistics could be done [6,7]. The information management and communication platform are identified as the key essentials for the sustainable and strategic management [8].