Intelligent decision making in disassembly process based on fuzzy reasoning Petri nets

Abstract

Practical disassembly process planning is extremely important for efficient material recycling and components reuse. The research work for the process planning in literature focuses on the generation of optimal sequences based on the predictive information of products. The used products, unfortunately, exhibit high uncertainty since products may experience very different conditions during their use stage. The indeterminate characteristics associated to used products often makes the predetermined plan unrealistic. Their disassembly process has to be decided dynamically adaptive to the products' specific status. To be able to deal with uncertainty in a dynamic decision making process, this paper presents a fuzzy reasoning Petri net (FRPN) model to represent related decision making rules in disassembly process. Using the proposed fuzzy reasoning algorithm based on the FRPN model, the multicriterion disassembly rules can be considered in the parallel way to make the decision automatically and quickly. Instead of producing the disassembly sequences before disassembling a whole product, the proposed method makes intelligent decisions based on dynamically updated status of components in the product at each disassembly step. Therefore, it is adaptive to the changes that arise during the process. Finally, an example is used to illustrate the application of the proposed methodology.

Guiding Disassembly Sequence Planning Based on Improved Fruit Fly Optimization Algorithm

“…Establishing an assembly disassembly induction model is to establish the structural model which can describe information of product components, assembly relations, product-level, assembly feature and constraint, etc. The method to establish disassembly induced model includes mainly undirected graph, directed graph, mixed graph, disassembly Petri nets [11] , demolition matrix and other methods. This paper use disassembly matrix method, which is based on undirected graph and directed graph.…”

Reliability-Based and Cost-Oriented Product Optimization Integrating Fuzzy Reasoning Petri Nets, Interval Expert Evaluation and Cultural-Based DMOPSO Using Crowding Distance Sorting

“…It has been a powerful means to ensure product reliability, but it has three defects: (i) the relationship between the different product failures is neglected; (ii) FMEA fails to manage the uncertain product information; and (iii) FMEA regards product failure as a static process rather than a dynamic process, but it is obvious that the generation and propagation of product failure is a typical dynamic and uncertain behavior process. Hence, many extensions to the Petri net (PN) including places, transitions and directed arcs, such as colored PN, timed PN and prioritized PN, fuzzy PN have been successfully developed and applied in analyzing reliability of systems and conducting failure diagnosis [23][24][25][26]. Zhang and Yao [27] proposed an approach for analyzing systems reliability using fuzzy stochastic Petri nets (FSPNs) with fuzzy parameters, and their research successfully overcame the difficulties in adopting common software to detect multi-state systems with high complexity.…”

Designing a Genetic Algorithm to Solve an Integrated Model in Supply Chain Management Using Fuzzy Goal Programming Approach

“…Some researchers have investigated fuzzy production planning problems in SC ( [10], [1], [5]). Decision analysis in e-supply chain using fuzzy set approach mainly on the basis of fuzzy reasoning Petry nets has been considered by Gao et al [5].…”

“…Decision analysis in e-supply chain using fuzzy set approach mainly on the basis of fuzzy reasoning Petry nets has been considered by Gao et al [5]. The method proposed by Liang [8] aims at simultaneous minimization of total distribution costs and the total delivery time on the basis of fuzzy available supply, total budget, fuzzy forecast demand, and warehouse space.…”