کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
478747 | 1446134 | 2010 | 6 صفحه PDF | دانلود رایگان |
![عکس صفحه اول مقاله: Mining Pareto-optimal modules for delayed product differentiation Mining Pareto-optimal modules for delayed product differentiation](/preview/png/478747.png)
This paper presents a framework for finding optimal modules in a delayed product differentiation scenario. Historical product sales data is utilized to estimate demand probability and customer preferences. Then this information is used by a multiple-objective optimization model to form modules. An evolutionary computation approach is applied to solve the optimization model and find the Pareto-optimal solutions. An industrial case study illustrates the ideas presented in the paper. The mean number of assembly operations and expected pre-assembly costs are the two competing objectives that are optimized in the case study. The mean number of assembly operations can be significantly reduced while incurring relatively small increases in the expected pre-assembly cost.
Journal: European Journal of Operational Research - Volume 201, Issue 1, 16 February 2010, Pages 123–128