A novel approach for parallel disassembly design based on a hybrid fuzzy-time model

Abstract

This paper investigates the problem of parallel disassembly with the consideration of fuzziness. A novel approach is proposed based on optimized dispatching for parallel disassembly in which disassembly time is characterized by the fuzzy sets due to inevitable uncertainties. The proposed approach consists of three parts: in the first part, the fuzzy time-based dispatching disassembly process model is established; in the second part, the boundary conditions of the fuzzy time and the disassembly are derived, and the components' disassembly order and available stations are encoded together to find the optimal disassembly path; in the final part, the approach is optimized by using genetic algorithm (GA) to minimize the total time and cost, and the solution is compared with other algorithms. Finally, a case study for a hydraulic press disassembly is presented to verify the effectiveness and feasibility of the proposed approach.

Disassembly sequence planning: Recent developments and future trends

“…However, in practice, the actual disassembly time for a component depends not only on the aforementioned deterministic time elements but also on uncertainties in the disassembly process. Stochastic disassembly times 53 and fuzzy times 70 have been proposed to deal with those uncertainties. Depending on the problem, the randomly varying (stochastic) time for removing a component could be taken as normally distributed or Gaussian distributed, whereas triangular numbers have been adopted to represent imprecise (fuzzy) disassembly time.…”

“…49,60,116 In addition, feasibility (FE) was added to the fitness function of GA. 113,114 For GA, it is easy to be trap at local optimal solutions. To solve this problem, GA with adaptive crossover rate and mutation rate (ACRMR) 41 and GA with Gaussian mutation 70 were used to improve the quality of solutions. Moreover, simulated annealing (SA)-based GA, 83 SA-binary tree (BTA)-based GA, 97 Tabu search (TS)-based GA 134 and Chaotic GA (CGA) 145 were also proposed to improve the quality of solutions.…”

Sequence Planning for Selective Disassembly Aiming at Reducing Energy Consumption Using a Constraints Relation Graph and Improved Ant Colony Optimization Algorithm

“…There are many different studies on theories and methods for disassembly. In general, these studies all focus on three essential problems: disassembly modeling, disassembly sequence planning and disassembly evaluation [10].…”

Low Carbon-Oriented Optimal Reliability Design with Interval Product Failure Analysis and Grey Correlation Analysis

“…Wang et al [38] pointed out that the introduction of interval numbers into the product reliability redundancy optimization in the product concept design phase was of important practical value to speed up the product development and reduce the economic cost of product engineering. In order to reasonably conduct product reliability analysis and optimal design, interval analysis is often combined with mixed uncertainty, probability, fuzzy theory, and grey system theory in the optimal reliability design [24,39,40].…”