Literature_Review

W6 Annotated bibliography Leopoldo Reyes Carballo University of Phoenix Annotated Bibliography Adler, P. S. (1988). Managing Flexible Automation. California Management Review, 30(3), 34-56. Retrieved from EBSCOhost. This is a good overview article from a well-known, management specialized school that focuses on the management of technology. The Author considers the point of view of practicing managers about managing flexible automation systems. The challenges posed by the flexible technologies are considered from the human perspective. Bi, Z. Z., Lang, S., Verner, M. M., & Orban, P. P. (2009). Development of reconfigurable machines. International Journal of Advanced Manufacturing Technology, 39( 11/12), 1227-1251. doi:10.1007/s00170-007-1288-1 This is an exceptional resource for evolution about reconfigurable machines and their challenges because of the obstacles of their development. The authors use a survey on the development of reconfigurable machines to clarify the necessities and drivers, define academic and issues involved in the development, the state of art on design methodologies and identify the future research trends. Tripathi, A. K., Tiwari, M. K., & Chan, F. S. (2005). Multi-agent-based approach to solve part selection and task allocation problem in flexible manufacturing systems. International Journal of Production Research, 43(7), 1313-1335. doi:10.1080/00207540412331299710 This is an excellent and thorough article covering the multi-agent approach to solve part selection and task allocation problem in flexible manufacturing systems. The authors described the activities of the four agents (communicator, machine, part, and material handling device) involved in carrying out the tasks of allocating parts on different machines. The algorithm used by the communicator agent for part allocation among the machines that have submitted bids is presented and described. NaiQi, W., & MengChu, Z. (2011). Intelligent token Petri nets for modelling and control of reconfigurable automated manufacturing systems with dynamical changes. Transactions of the Institute of Measurement & Control, 33(1), 9-29. doi:10.1177/0142331208095622 This source presents a new Petri Net (PN) model called an intelligent token PN (ITPN). The dynamical changes in automated manufacturing systems (AMS) and their control changes are described. Authors propose that the ITPN can model an AMS in a modular way and can generate a highly compact model and when a change happens it will necessary only to modify the changed part from the current model. Zhao, M., & Li, Z. (2009). On deadlock control for a class of generalised Petri net models of flexible manufacturing systems. International Journal of Production Research, 47(21), 6085-6107. doi:10.1080/00207540802101945 This is an excellent and thorough article covering the resource allocation systems and their challenges in the discrete event systems. The authors describe the competition of shared resources by the processes. An in-depth discussion of a class of resource allocation system (RAS) called G-systems, is included. Wang, A. R., Li, Z. W., & Jia, J. Y. (2011). Efficient computation of strict minimal siphons for a class of Petri nets models of automated manufacturing systems. Transactions of the Institute of Measurement & Control, 33(1), 182-201. doi:10.1177/0142331208095678 This resource aims to find the strict minimal number of siphons in a class of Petri Nets (PN). The authors verify the relationship between the properties of the structure and the siphons in the class of PN, define the resource digraph of the PN and propose the method to find the set of strict minimal siphons, based on the results. Miller, C., & Parasuraman, R. (2007). Designing for flexible interaction between humans and automation: delegation interfaces for supervisory control. Human Factors, 49(1), 57-75. Retrieved from EBSCOhost. The authors tend to develop a method that enables human-like, and flexible supervisory control via delegation to automation. The authors review the problems that the static and adaptive automation approach and contrast them with the human-human task delegation. The authors conclude that delegation offers a viable method for enhancing system performance using a flexible and multilevel human-automation interaction. Kodali, R., & Anand, G. G. (2010). Application of Analytic Network Process for the Design of Flexible Manufacturing Systems. Global Journal of Flexible Systems Management, 11(1/2), 39-54. Retrieved from EBSCOhost. This is an excellent article covering the challenges that the design of flexible manufacturing systems (FMS) have and authors identify the biggest of them: identification of flexibilities and selection of a suitable configuration. In this article the authors attempt to develop a multi-criteria decision-making model (MCDM) based on the analytic network process (ANP). An in-depth discussion of the application of ANP during the design of a FMS, is included. Sharma, D., & Ali, M.(2010). Framework for Implementing Flexible Automation in Indian Industries. Global Business & Management Research, 2(2/3), 208-223. Retrieved from EBSCOhost. The purpose of this article is to attempt to build a unique framework for assessing and improving the shop-floor capabilities of small and medium enterprises (SME) in India. The results obtained by the authors indicate that the adoption of advanced manufacturing technologies in the SMEs in inadequate to meet the global requirements. The discussion of the Indian immaturity situation of flexible automation adoption and their challenges is included. Kim, N. N., Shin, D. D., Wysk, R. A., & Rothrock, L. L. (2010). Using finite state automata (FSA) for formal modelling of affordances in human-machine cooperative manufacturing systems. International Journal of Production Research, 48(5), 1303-1320. doi:10.1080/00207540802582235 A formal automata model of human-machine cooperative systems is presented. These systems incorporate human capabilities according the systems conditions. The authors construct a formal human-machine cooperative model based on the finite state automaton (FSA) model, and they provide an application to illustrate the effectiveness of their model. Ho, J. L. (2005). A proposed approach for reconfiguration of flexible assembly line systems by motion genes. International Journal of Production Research, 43(9), 1729-1749. doi:10.1080/00207540412331327709 The application of motion genes for solving the problems of reconfiguring flexible assembly lines systems (FALS) to cope with ever-changing production requirements is discussed in this paper. The authors explore the new approach for reconfiguring an assembly conveyer line layout using genetic algorithms. A detailed example of how configure such algorithm is provided. Wadhwa, S. S., Madaan, J. J., & Raina, R. R. (2007). A Genetic algorithm based scheduling for a flexible system. Global Journal of Flexible Systems Management, 8(3), 15-24. Retrieved from EBSCOhost. The authors consider flexible systems as a mixed model flexible flow line. The challenges to find the ordering of the jobs on the machines that minimize the make-span are the purpose of this paper. The genetic algorithms (GA) approach is intended to solve this problem facilitating the constraint and objectives handling. The authors propose architecture to deal with the challenges using the GA approach and the results of such architecture implementation are discussed in the paper. Ryll, M., & Ratchev, S. (2008). Application of the Data Distribution Service for Flexible Manufacturing Automation. Proceedings of World Academy of Science: Engineering & Technology, 43178-185. Retrieved from EBSCOhost. The authors discuss the applicability of the data distribution services (DDS) for the development of automated and module manufacturing systems. The challenges such as real-time systems, deterministic data transfer and high robustness are discussed in the paper. The authors through an example illustrate the aspects within the modern manufacturing systems with distributed architectures. Rao, R., & Parnichkun, M. (2009). Flexible manufacturing system selection using a combinatorial mathematics-based decision-making method. International Journal of Production Research, 47(24), 6981-6998. doi:10.1080/00207540802389227 The authors discuss how the global competition in the manufacturing field has increased the quality and responsiveness to customization. Then authors pass on presenting a methodology based on a combinatorial mathematics-based method in conjunction with analytical hierarchy process for selection of a suitable flexible manufacturing system from among a larger number of alternatives. PASZKOWICZ, W. (2009). Genetic Algorithms, a Nature-Inspired Tool: Survey of Applications in Materials Science and Related Fields. Materials & Manufacturing Processes, 24(2), 174-197. doi:10.1080/10426910802612270 The authors discuss the advantages that the use of the genetic algorithms (GA) approach provides, and the recent use the GA in domains related to the materials sciences. They also state that the GA performed more efficiently than other global search/optimization methods and provides examples of the GA application in materials science and related fields.