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Golmohammadi, Amir-Mohammad, Shahabi, Ali, Abedsoltan, Hamidreza, Hajizadeh Ebrahimi, Fazel. (1403). A Simulation-Based Approach for Designing an Innovative Double Sampling Plan for Two Stages Process. , 58(2), 341-351. doi: 10.22059/aie.2024.379579.1902
Amir-Mohammad Golmohammadi; Ali Shahabi; Hamidreza Abedsoltan; Fazel Hajizadeh Ebrahimi. "A Simulation-Based Approach for Designing an Innovative Double Sampling Plan for Two Stages Process". , 58, 2, 1403, 341-351. doi: 10.22059/aie.2024.379579.1902
Golmohammadi, Amir-Mohammad, Shahabi, Ali, Abedsoltan, Hamidreza, Hajizadeh Ebrahimi, Fazel. (1403). 'A Simulation-Based Approach for Designing an Innovative Double Sampling Plan for Two Stages Process', , 58(2), pp. 341-351. doi: 10.22059/aie.2024.379579.1902
Golmohammadi, Amir-Mohammad, Shahabi, Ali, Abedsoltan, Hamidreza, Hajizadeh Ebrahimi, Fazel. A Simulation-Based Approach for Designing an Innovative Double Sampling Plan for Two Stages Process. , 1403; 58(2): 341-351. doi: 10.22059/aie.2024.379579.1902

A Simulation-Based Approach for Designing an Innovative Double Sampling Plan for Two Stages Process

Advances in Industrial Engineering
دوره 58، شماره 2، اسفند 2024، صفحه 341-351    اصل مقاله (432.8 K)
نوع مقاله: Research Paper
شناسه دیجیتال (DOI): 10.22059/aie.2024.379579.1902
نویسندگان
Amir-Mohammad Golmohammadi* 1؛ Ali Shahabi2؛ Hamidreza Abedsoltan3؛ Fazel Hajizadeh Ebrahimi4
1Assistant Professor, Department of Industrial Engineering, Arak University, Arak, Iran.
2Assistant Professor, Department of Industrial Engineering, Central Tehran Branch, Islamic Azad University, Tehran, Iran.
3M.Sc., School of Industrial Engineering, College of Engineering, University of Tehran, Tehran, Iran.
4Assistant Professor, Department of Industrial Engineering, Qom University of Technology, Qom, Iran.
چکیده
One of the main aspects of the production industry is the optimization of acceptance sampling plans. Sampling plan performance depends on many uncertain factors that are difficult to model, especially in a multi-stage process. Therefore, it requires an innovative procedure to optimize it. This study presents an innovative double sampling plan for a multi-stage process based on discrete event simulation (DES) toward proposing an applicable plan to the inspection of the product whose accepting probability follows the hypergeometric distribution for a finite lot without replacement. This paper focuses on the five economic parameters of a double sampling plan that are determined by minimizing the average sample number (ASN) with the help of DES results and optimization methods. Several experiments based on DES were tested to determine the regression function of the ASN simulation study was carried out using Enterprise Dynamic software (ED). Our economic statistical lot acceptance sampling plan based on minimizing the average sample number has been developed to determine the acceptance parameters including the first acceptance number, first rejection, number, first sample size, second sample size, and second acceptance number in a multi-stage process. According to all runs of the simulation model, we concluded at a 95% level of confidence that ASN ranges from 530.16 to 554.93, which is given in detail in the paper.
کلیدواژه‌ها
Double Sampling Plan؛ Multi Stages Process؛ Average Sample Number؛ Optimization؛ Discrete Event Simulation
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