Showing items 1 - 4 of 4

Application of Artificial Intelligence (AI) methods for designing and analysis of Reconfigurable Cellular Manufacturing System (RCMS)

- Marwala, Tshilidzi, Xing, Bo, Nelwamondo, Fulufbelo V., Battle, Kimberly, Gao, Wenjing

e-Reverse logistics for remanufacture-to-order : an online auction-based and multi- agent system supported solution

- Xing, Bo, Gao, Wen-Jing, Battle, Kimberly, Nelwamondo, Fulufhelo Vincent, Marwala, Tshilidzi

  • Authors: Xing, Bo , Gao, Wen-Jing , Battle, Kimberly , Nelwamondo, Fulufhelo Vincent , Marwala, Tshilidzi
  • Date: 2011
  • Subjects: Remanufacturing , E-reverse logistics , Multiagent systems
  • Type: Article
  • Identifier: uj:6032 , ISBN 978-1-61208-172-4 , http://hdl.handle.net/10210/10419
  • Description: Due to the rapid obsolescent nature of consumer products, the remanufacture-to-stock strategy, in which remanufacturers tend to collect certain amount of end-of-life products, remanufacturing them as many as they can and keep these remanufactured products in stock waiting for customers come to buy, is not always an optimal solution. Under this circumstance, remanufacture-to-order policy, as an effective complement, provides a good trade-off for remanufacturers between meeting consumers’ demand and, in the meantime, keeping the inventory cost at a lower level. To remanufacture the used items, the manufacturer must retrieve them from the market where they are dispersed among consumers. This is accomplished by means of a reverse logistics chain that is comparable to the new product distribution system in reverse. However, the current reverse logistics do not respond to remanufacture-to-order at an efficient level. Therefore it is a necessity to develop a novel infrastructure, which can deal with these issues. This paper presents a framework called e-reverse logistics that aims at filling this gap. The major features and architecture of the proposed e-reverse logistics are detailed in this work.
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e-RL : the Internet of things supported reverse logistics for remanufacture-to-order

- Xing, Bo, Gao, Wen-Jing, Battle, Kimberly, Nelwamondo, Fulufhelo Vincent, Marwala, Tshilidzi

  • Authors: Xing, Bo , Gao, Wen-Jing , Battle, Kimberly , Nelwamondo, Fulufhelo Vincent , Marwala, Tshilidzi
  • Date: 2011
  • Subjects: Multiagent systems , Remanufacturing , E-reverse logistics
  • Type: Article
  • Identifier: uj:6042 , ISSN 978-1-61208-172-4 , http://hdl.handle.net/10210/10442
  • Description: With the increasing globalization, there are many sources of uncertainty across the entire reverse logistics for end-of-life product recovery. Information sharing is a key ingredient in this respect because it helps to eradicate potential uncertainties related to various corporate behaviors, especially in remanufacture-to-order aspect. However traditional reverse logistics does not fully address itself to this issue. As a result, the progressive loss of product information as it moves through its lifecycle becomes inevitable which leads to a difficulty in implementing remanufacture-to-order strategy. Motivated by this fact, this study presents an ongoing design of novel reverse logistics (i.e., e-reverse logistics). The Internet of things technology is introduced into this framework for the purpose of keeping product life cycle information integrity. Furthermore, the cooperation and collaboration between actors involved in proposed architecture are treated in multi-agent system philosophy. The design characteristics and working principles of e-reverse logistics are detailed in this paper and it serves as a start point for further implementation.
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Evaluating challenges faced by small and medium enterprises in managing new technology

- Muyengwa, Goodwell, Chiromo, Forbes, Battle, Kimberly

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