Premium
Hybrid structures and improving forecasting and scheduling in project management
Author(s) -
PollackJohnson Bruce
Publication year - 1995
Publication title -
journal of operations management
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.649
H-Index - 191
eISSN - 1873-1317
pISSN - 0272-6963
DOI - 10.1016/0272-6963(94)00008-3
Subject(s) - computer science , scheduling (production processes) , strengths and weaknesses , operations research , dichotomy , management science , project management , heuristic , mathematical optimization , industrial engineering , artificial intelligence , economics , management , mathematics , psychology , engineering , statistics , social psychology
In many areas of managerial decision‐making and analysis, there are classical dichotomies, such as subjective versus objective forecasting methods, short‐range versus long‐range forecasting, heuristic versus optimization algorithms, and logic programming versus functional programming. This article describes some hybrid concepts and techniques that attempt to synthesize the strengths and minimize the weaknesses of seemingly incompatible classical approaches to problems that are central to project management and scheduling and to operations management in general.