• 沒有找到結果。

Discrete Time-Varying Demand Lot-Sizing Models with Learning and Forgetting Effects

N/A
N/A
Protected

Academic year: 2022

Share "Discrete Time-Varying Demand Lot-Sizing Models with Learning and Forgetting Effects"

Copied!
1
0
0

加載中.... (立即查看全文)

全文

(1)

題名: Discrete Time-Varying Demand Lot-Sizing Models with Learning and Forgetting Effects

作者: Chiu, H. N

貢獻者: 亞洲大學經營管理學系

關鍵詞: Discrete Time-varying Demand;Learning Curve;Forgetting Effect;Lot- sizing Models

日期: 1997

上傳時間: 2010-06-10T03:51:56Z 出版者: Asia University

摘要: This paper deals with the problem of incorporating both learning and forgetting effects into discrete timevarying demand lot-sizing models to determine lot sizes. Forgetting is retrogression in learning which causes a loss of labour productivity due to breaks between intermittent

production runs. Formulae are derived for calculating the production cost required to produce the first unit of each successive lot over a finite planning horizon. An optimal lotsizing model and three heuristic models are developed by extending the existing models without learning and forgetting considerations. Numerical examples and computational experience indicate that larger lot sizes are needed when the phenomenon of learning and forgetting exists. Several important

conclusions are drawn from a comparison of the three heuristic solutions with the optimal solution, and suggestions for future research and for lot-size users to choose an appropriate lot-sizing technique are made.

參考文獻

相關文件