2008
DOI: 10.1243/09544054jem1197
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Economic manufacturing quantity model with imperfect rework and random breakdown under abort/resume policy

Abstract: This paper studies the optimal production run time in an economic manufacturing quantity (EMQ) model with imperfect rework and Poisson machine breakdowns under abort/resume (A/R) control policy. In most realistic manufacturing processes, generation of defective items and random machine breakdowns are inevitable. In this study, a random defective rate is assumed and all defective items produced are reworked when regular production ends. The rework process is assumed to be imperfect. A proportion of reworked ite… Show more

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Cited by 11 publications
(19 citation statements)
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“…The aforementioned results derived by algebraic approach, especially Equations (16) to (18) are verified in this section using the same numerical example [22]. Reconsider that customer demand of a product is 3,400 units per year and it can be produced at an annual rate of 60,000 units.…”
Section: Numerical Examplementioning
confidence: 67%
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“…The aforementioned results derived by algebraic approach, especially Equations (16) to (18) are verified in this section using the same numerical example [22]. Reconsider that customer demand of a product is 3,400 units per year and it can be produced at an annual rate of 60,000 units.…”
Section: Numerical Examplementioning
confidence: 67%
“…This paper also reveals a simpler form (i.e. Equation (18) for calculating the optimal cost function E[TCU(Q*,n*)]. The algebraic approach demonstrated in this paper, may enable practitioners or students who with little or no knowledge of calculus to learn or handle with ease the real-life EPQ model.…”
Section: Resultsmentioning
confidence: 93%
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“…For examples, the printed circuit board assembly (PCBA) in PCBA manufacturing, plastic goods in the plastic injection molding process, and production process in other industries, such as metal components, textiles, etc., sometimes employ rework as an acceptable process in terms of level of quality. Many studies were carried out to address imperfect quality issue of production systems [5][6][7][8][9][10][11][12][13][14]. Effect of random defective rate and the reworking of defective items on EPQ model were studied by Chiu and Chiu [15] using conventional methodology.…”
Section: Introductionmentioning
confidence: 99%
“…13 , a 14 , a 5 , a 15 , a 16 , a 17 , a 18 , a 19 g,16 , a 17 , a 18 , a 19 g. The following flow analysis of each workstation is based on the decomposed paths.…”
mentioning
confidence: 99%