A NONITERATIVE ALGORITHM FOR THE MULTIPRODUCT PRODUCTION AND WORK FORCE PLANNING PROBLEM
成果类型：
Note
署名作者：
SINGHAL, K
刊物名称：
OPERATIONS RESEARCH
ISSN/ISSBN：
0030-364X
DOI：
10.1287/opre.40.3.620
发表日期：
1992
页码：
620-625
关键词：
摘要：
Discrete optimal control theory is used to develop an efficient noniterative algorithm for solving the multiproduct production and work force planning problems with a quadratic cost function. The quadratic cost models allow uncertainties to be handled directly because they minimize the expected cost if unbiased expected demand forecasts are given. A real-world problem may involve as many as 200,000 variables. The noniterative algorithm makes the computations, irrespective of the number of products, not only feasible but also extremely easy and efficient.