Fuzzy-Petri-net-based disassembly planning considering human factors

Disassembly, as the process of systematic removal of desirable constituent parts from an assembly, is of growing importance due to the increasing environmental and economic pressure. Although disassembly in practice is manual and labor intensive, little attention has been paid to the human intervention in the disassembly process. This paper addresses this deficiency by developing a fuzzy attributed Petri net (FAPN) model to mathematically represent uncertainty in disassembly due to a large amount of human intervention. An algorithm based upon this model is further proposed for optimal disassembly planning with a view to making the technique more applicable to real industry settings. The benefit of the proposed model and algorithm is illustrated through the disassembly of a personal computer (PC) in a prototypical disassembly system

[1]  Arthur C. Sanderson,et al.  Task sequence planning using fuzzy Petri nets , 1995, IEEE Trans. Syst. Man Cybern..

[2]  Mansour Rahimi,et al.  On Managing the Human Factors Engineering of Hybrid Production Systems , 1988 .

[3]  MengChu Zhou,et al.  Disassembly modeling, planning, and application , 2002 .

[4]  Steven J Skerlos,et al.  Multi-criteria decision-making for optimization of product disassembly under multiple situations. , 2003, Environmental science & technology.

[5]  MengChu Zhou,et al.  An integrated approach to disassembly planning and demanufacturing operation , 2001, IEEE Trans. Robotics Autom..

[6]  Rahul Rai,et al.  A Petri Net based approach to determine the disassembly strategy of a product , 2002 .

[7]  Surendra M. Gupta,et al.  Petri net approach to disassembly process planning for products with complex AND/OR precedence relationships , 2001, Eur. J. Oper. Res..

[8]  Lin,et al.  Optimal operation planning using fuzzy Petri nets with resource constraints , 2002, Int. J. Comput. Integr. Manuf..

[9]  Lev V. Utkin,et al.  Analysis of computer integrated manufacturing systems by fuzzy human operator behaviour , 1997 .

[10]  Xiaoou Li,et al.  Dynamic knowledge inference and learning under adaptive fuzzy Petri net framework , 2000, IEEE Trans. Syst. Man Cybern. Part C.

[11]  A. Lambert.  Determining optimum disassembly sequences in electronic equipment , 2002 .

[12]  Michael A. Goodrich,et al.  Model-based human-centered task automation: a case study in ACC system design , 2003, IEEE Trans. Syst. Man Cybern. Part A.

[13]  Ajd Fred Lambert,et al.  Disassembly sequencing: A survey , 2003 .

[14]  Gunnar Sohlenius,et al.  Towards Profitable Persistent Manufacturing. Human Factors in Overcoming Disturbances in Production Systems , 1999 .

[15]  MengChu Zhou,et al.  Design and implementation of an adaptive process planner for disassembly processes , 2000, IEEE Trans. Robotics Autom..

[16]  MengChu Zhou,et al.  Fuzzy reasoning Petri nets , 2003, IEEE Trans. Syst. Man Cybern. Part A.

[17]  Jin-Fu Chang,et al.  Knowledge Representation Using Fuzzy Petri Nets , 1990, IEEE Trans. Knowl. Data Eng..

[18]  Reha Uzsoy,et al.  Optimal disassembly configurations for single and multiple products , 1999 .

[19]  Jian-Xin Xu.  Fuzzy Petri net-based optimum scheduling of FMS with human factors , 1996, Proceedings of 35th IEEE Conference on Decision and Control.

[20]  MengChu Zhou,et al.  Intelligent decision making in disassembly process based on fuzzy reasoning Petri nets , 2004, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).

[21]  H. Jahan-Shahi,et al.  Multivalued Fuzzy Sets in Cost/Time Estimation of Flat Plate Processing , 2001 .

[22]  Jong-Oh Park,et al.  Optimal Disassembly Sequence Using Genetic Algorithms Considering Economic and Environmental Aspects , 2001 .