Journal
MATHEMATICS
Volume 11, Issue 15, Pages -Publisher
MDPI
DOI: 10.3390/math11153417
Keywords
flexible manufacturing; remanufacturing; product assembling; random defective rate; backorders; space and budget constraints
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This research proposes a flexible production-inventory system that produces multiple parts of a product. Defective products are immediately remanufactured after inspection. The study considers limited budget and space constraints, as well as product assembly. Non-linear equations based on different distribution functions are calculated using the Kuhn-Tucker optimization technique. Numerical examples, graphical representation, and sensitivity analysis are presented. The research focuses on electronic products that are more likely to be defective rather than perfect during production.
Several industries are facing many challenges in their production systems due to increasing customer demand. Customer demand is growing for products with innovative features that are flexible, good quality, and appealing. This paper presents a flexible production-inventory system that produces multiple parts of a product. Defective products may be produced during the production process. Those defective products are remanufactured immediately after inspection. Limited budget and space constraints are considered, along with product assembly. Based on different distribution functions, non-linear equations are calculated using the Kuhn-Tucker optimization technique. Numerical examples, a graphical representation, and sensitivity analysis are presented in this paper. The solution procedure evaluates the minimization of the total investment based on the ?2 distribution. This study examines electronic products those are more likely to be defective rather than perfect during production.
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