Abstract
With the development of smart manufacturing, quality has become an indispensable issue in the manufacturing process. Although there is increasing publication about inspection allocation problems, inspection allocation optimization research considering resource capability is scarce. This paper focuses on the inspection allocation problem with resource constraints in the flexible manufacturing system. Combined with the inspection resource capability model, a bi-objective model is developed to minimize the cost and balance loads of the inspection station. A modified NSGA-II algorithm with adaptive mutation operators is suggested to deal with the proposed model. Finally, a simulation experiment is conducted to test the performance of the modified algorithm and the results demonstrate that modified NSGA-II can obtain acceptable inspection solutions.
Highlights
The quality characteristics (QC) of the manufactured product may inevitably fail to meet the requirement of the design because of machines, human error, etc. erefore, inspection is a necessary part of the product manufacturing process [1]
Korytkowski [8] proposed a multiproduct product inspection model, in which the inspection station was regarded as a G/G/C queuing model. e genetic algorithm was adapted to deal with the model to shorten the waiting time of inspection
Decision Variables ωp,q: the probability of product p can reach stage q hp,q 1: QCp,q need an inspection according to the inspection plan, otherwise 0 wp,q, i 1: QCp,q need to be inspected by the inspection station I according to the inspection plan, otherwise 0
Summary
The quality characteristics (QC) of the manufactured product may inevitably fail to meet the requirement of the design because of machines, human error, etc. erefore, inspection is a necessary part of the product manufacturing process [1]. Us, many scholars conducted inspection process planning and inspection allocation research to arrange the inspection flow properly and dispatch the inspection resource, optimizing the cost of product inspection [3, 4]. Following the inspection process planning definition of Narahari et al [10], the paper summarized the inspection allocation problem with resource constraints as follows:. Erefore, in the paper, a multi-objective inspection allocation with resource constraints (IARC) model is built in the FMS to trade-off manufacturing cost and inspection station load. Due to the complexity of inspection planning problems, some scholars treated them as multi-objective optimization problems and proposed corresponding solutions. The proposed IARC model belongs to a multi-object optimization problem (MOP), in which objects contract with each other.
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