A joint design of production, maintenance planning and quality control for continuous flow processes with multiple assignable causes

被引:6
|
作者
Wan, Qiang [1 ]
Zhu, Mei [2 ]
Qiao, Hong [3 ]
机构
[1] Xinyang Normal Univ, Sch Business, Xinyang 464000, Peoples R China
[2] Xinyang Normal Univ, Coll Int Educ, Xinyang 464000, Peoples R China
[3] Huanghuai Univ, Coll Econ & Management, Zhumadian 463000, Peoples R China
基金
中国国家自然科学基金;
关键词
Economic production quantity; Statistical process control; Multiple assignable causes; Maintenance; Continuous flow process; (X)OVER-BAR CONTROL CHART; PRODUCTION RUN-LENGTH; ECONOMIC DESIGN; INTEGRATED PRODUCTION; EPQ MODEL; PREVENTIVE MAINTENANCE; CONTROL POLICY; SETUP COST; MANAGEMENT; SYSTEMS;
D O I
10.1016/j.cirpj.2023.04.006
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
Although the joint optimisation of the three aspects -production, quality control and maintenance -helps to promote efficiency and obtain operational cost savings in the production process, these three concepts are usually studied separately in the literature. Moreover, almost all existing integration studies on this issue are centred on piece part manufacturing, and the integrated modelling in a continuous flow pro-duction environment has not been well investigated. In addition, most existing integrated models assume only one assignable cause can occur during the manufacturing process, which is not in accord with the actual production condition because of the usual complexity of production systems. In real cases, pro-duction processes are usually subject to a multiplicity of assignable causes. Based on these facts, this paper presents a joint design scheme of production, maintenance, and statistical process control for continuous flow processes with multiple assignable causes. The mathematical model is solved using a developed ge-netic algorithm that minimises the expected total cost (ETC) per process cycle. A comparison between the one-cause and multi-cause models from an economic aspect is conducted to verify the advantages of the suggested model. A sensitivity analysis is also carried out on some selected variables concerning the ETC and expected production quantity to gain an in-depth insight into the concern.(c) 2023 CIRP.
引用
收藏
页码:214 / 226
页数:13
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