Desensitized control charts with operational importance for autocorrelated processes

Jafarian‐Namin, Samrad; Nezhad, Mohammad Saber Fallah; Tavakkoli–Moghaddam, Reza; Salmasnia, Ali

doi:10.1080/16843703.2022.2058720

Cited by 7 publications

(1 citation statement)

References 36 publications

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“…Using meta-heuristic algorithms in this situation helps to discover near-optimal solutions in a reasonable time. Among those, the genetic algorithm [23], and the particle swarm optimization (PSO) algorithm [33] have typically been used to solve similar models. We provide a solution procedure using PSO due to its unique search mechanism, simplicity of concepts, computational efficiency, and ease of implementation [9,12,34].…”

Section: Solution Proceduresmentioning

confidence: 99%

An integrated bi-objective model under warranty, technology level, and pricing by considering pre-sale and post-sale costs

2023

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Due to the imperfection of processes, the quality of some products may be unsatisfactory. Moreover, equipment failure can stop production for a while. Therefore, integrating the triple concepts of quality, maintenance, and inventory control has attracted attention. Triple concepts are the constituents of the pre-sale costs. Selling price and warranty are generally considered to maintain market share and maximize the producer's profit. Quality and maintenance in production should be considered to reduce the post-sale costs of the warranty. Despite interactions, integrating warranty with triple concepts has been neglected. We integrate the quadruple concepts in a biobjective model to maximize the profit and minimize the pre-sale and post-sale costs under the free minimal repair warranty policy. A non-central chi-square (NCS) control chart monitors the mean and variance, simultaneously. The technology level is also considered for increasing product quality and reducing failures during the warranty period. Due to its high complexity, the model is solved by the particle swarm optimization algorithm. The proposed model is applied through a numerical example and three comparative studies. The results indicate the better performance of the NCS chart, the superiority of bi-objective optimization versus single-objective optimization, and the importance of integrating presale and postsale costs.

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