Anda belum login :: 17 Feb 2025 08:31 WIB
Home
|
Logon
Hidden
»
Administration
»
Collection Detail
Detail
Optimal Production Planning for Remanufacturing with Uncertainty in Quality of Used Products and Classification Error in Quality Grading
Oleh:
Iwao, Masatoshi
;
Kusukawa, Etsuko
Jenis:
Article from Proceeding
Dalam koleksi:
The 14th Asia Pacific Industrial Engineering and Management Systems Conference (APIEMS), 3-6 December 2013 Cebu, Philippines
,
page 1-8.
Topik:
Green supply chain
;
Uncertainty in quality
;
Quality classification
;
Classification error
Fulltext:
1005.pdf
(471.48KB)
Isi artikel
In recent years, solutions of problems regarding resource saving for resource demand rising worldwide and environment protection have been urgently needed. This study proposes an optimal production plan for the remanufacturing of parts in used products where there is uncertainty in the quality of used products and the potential for classification error in quality grading. A collection trader collects used products from customers and classifies them according to their quality. In this case, classification error in quality grading of used products might occur due to lack of classification equipment or expert knowledge of the collection trader. When a manufacturer accepts an order for parts from a retailer and procures used products from the collection trader. Here, the higher the quality of used products is, the higher the procurement cost is, but the lower the remanufacturing cost is. After procurement of the used products, the manufacturer inspects if there is any classification error. If the errors are detected, the manufacturer reclassifies the misclassified (overestimated) used products at a cost. Accordingly the manufacturer decides to remanufacture from the higher-quality used products or produce from new materials based on a remanufacturing ratio. The objective of this study is to find the optimal decisions for a lower limit of procurement quality of used products and a remanufacturing ratio under the lower limit of procurement quality. Numerical analysis investigates the effects of classification errors, quality of used products, reclassification cost of used products and remanufacturing cost of parts from used products on the optimal decisions and the expected profit.
Opini Anda
Klik untuk menuliskan opini Anda tentang koleksi ini!
Kembali
Process time: 0.015625 second(s)