A methodology for predicting single-stage lot-sizing performance: Analysis and experiments-Reference-Cited by-同舟云学术

A methodology for predicting single-stage lot-sizing performance: Analysis and experiments

Published:1985-08 Issue:4 Volume:5 Page:433-448
ISSN:0272-6963
Container-title:Journal of Operations Management
language:en
Short-container-title:Journal of Operations Management

Author:

Blackburn Joseph D.,Millen Robert A.

Publisher

Wiley

Subject

Industrial and Manufacturing Engineering,Management Science and Operations Research,Strategy and Management

Link

http://onlinelibrary.wiley.com/wol1/doi/10.1016/0272-6963(85)90024-5/fullpdf

Reference13 articles.

1. Worst Case Performance for Lot Sizing Heuristics;Axsater;European Journal of Operational Research,1982

2. W.L. Berry Lot-Sizing Procedures for Requirements Planning Systems: A Framework for Analysis Production and Inventory Management 1972

3. J.D. Blackburn R.A. Millen Selecting a Lot-Sizing Technique for a Single-Level Assembly Process: Part I-Analytical Results Production and Inventory Management 1979

4. J.D. Blackburn R.A. Millen Selecting a Lot-Sizing Technique for a Single-Level Assembly Process: Part II-Empirical Results Production and Inventory Management 1979

5. Improved Heuristics for Multi-Stage Requirements Planning Systems;Blackburn;Management Science,1982

Cited by 15 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Production economics and the learning curve: A meta-analysis;International Journal of Production Economics;2015-12

2. An extension for dynamic lot-sizing heuristics;Production & Manufacturing Research;2015-01

3. Worst-Case Analysis for a General Class of Online Lot-Sizing Heuristics;Operations Research;2010-02

4. An approach to evaluate the impact of interaction between demand forecasting method and stock control policy on the inventory system performances;International Journal of Production Economics;2009-03

5. An evaluation of lot-sizing heuristics for deteriorating inventory in material requirements planning systems;Computers & Operations Research;2007-09