الصفحة 1
الصفحة 1
Sustainability in Manufacturing : Recovery of Resources in Product and Material Cycles
New processes in remanufacturing as cleaning by laser and prototypical realizations of disassembly systems for different products e.g. washing machines, mobile phones or car engines are presented. The paradigm change in manufacturing from how to produce products most efficiently into how to avoid producing products while still maintaining customer satisfaction and corporate profits is addressed. Teaching and learning in a global university environment are identified as powerful means to overcome the barriers of established thinking habits in societal institutions thus coping with the challenge of sustainability.
Strategic Closed-Loop Supply Chain Management
Closed loops depict supply chains for which Original Equipement Manufacturer reintegrate their returned products into their own production network. While the reverse logistics research has extensively addressed the technical aspects of product reintegration, very few insights are available on whether OEMs should commit themselves to a closed-loop. The structure of the monograph is aligned to the decision-making process of Original Equipment Manufacturers willing to investigate the potential of closed-loops. This decision-making process is structured around fundamental questions managers are expected to answer prior to running a circular supply chain: Does a closed-loop fit with the corporate objectives? Is it profitable to run a closed-loop? How should OEMs deal with free-riders’ competition? Which product/technology/location setup leads to a profit-maximizing supply chain? The planning framework is finally applied to two case studies from the tire and the computer industry.
Robotics and Rehabilitation Intelligence ; 1st International Conference, ICRRI 2020, Fushun, China, September 9–11, 2020, Proceedings, Part II
This 2-volume set constitutes the refereed proceedings of 1st International Conference on Robotics and Rehabilitation Intelligence, ICRRI 2020, held in Fushun, China, in September 2020. The 56 full and 4 short papers were carefully reviewed and selected from 188 submissions. The papers are divided into the following topical sections. In the first volume: Rehabilitation robotics and safety; machine vision application; electric drive and power system fault diagnosis; robust stability and stabilization; intelligent method application; intelligent control and perception; smart remanufacturing and industrial intelligence; and intelligent control of integrated energy system. In the second volume: smart healthcare and intelligent information processing; human-robot interaction; multi-robot systems and control; robot design and control; robotic vision and machine intelligence; optimization method in monitoring; advanced process control in petrochemical process; and rehabilitation intelligence.
Robotics and Rehabilitation Intelligence ; 1st International Conference, ICRRI 2020, Fushun, China, September 9–11, 2020, Proceedings, Part I
This 2-volume set constitutes the refereed proceedings of 1st International Conference on Robotics and Rehabilitation Intelligence, ICRRI 2020, held in Fushun, China, in September 2020. The 56 full and 4 short papers were carefully reviewed and selected from 188 submissions. The papers are divided into the following topical sections. In the first volume: Rehabilitation robotics and safety; machine vision application; electric drive and power system fault diagnosis; robust stability and stabilization; intelligent method application; intelligent control and perception; smart remanufacturing and industrial intelligence; and intelligent control of integrated energy system. In the second volume: smart healthcare and intelligent information processing; human-robot interaction; multi-robot systems and control; robot design and control; robotic vision and machine intelligence; optimization method in monitoring; advanced process control in petrochemical process; and rehabilitation intelligence.
Planning Demand-Driven Disassembly for Remanufacturing
Ian M. Langella examines the planning of disassembly for remanufacturing of used products, yielding components which are reassembled into “as good as new” items. Through a thorough analysis of the underlying planning problem, fundamental insights are attained and heuristic solution methods are developed and tested. Although the heuristics exhibit good performance, they remain simple enough to be applied to industrial-sized problems. The author considers both settings where yields are deterministic and stochastic and where the amount of returned products is constrained.
