A Hierarchical Production Planning Approach for Multiprocessor Flow Shops

2006 ◽  
pp. 9-14
Author(s):  
Daniel Quadt
Keyword(s):  
Production Planning ◽  
Flow Shops ◽  
Hierarchical Production Planning ◽  
Planning Approach

A New Modeling and Application of Hierarchical Production Planning Approach

2013 ◽  
pp. 113-144
Author(s):  
Reza Tanha Aminlouei
Keyword(s):  
Power Systems ◽  
Production Planning ◽  
Power Plants ◽  
Production Capacity ◽  
Total Load ◽  
Hierarchical Production Planning ◽  
Time Horizons ◽  
Planning Approach ◽  
Utility Cost ◽  
Equal Space

In real power systems, power plants are not in the equal space from the load center, and their fuel cost is different. With common utilization conditions, production capacity is more than total load demand and losses. Therefore, there are different criteria for active and inactive power planning in each power plant. The best selection is to choose a framework in which the utility cost is minimized. On the other hand, planning in power systems has different time horizons; thus, for effective planning in power systems, it is very important to find a suitable mathematical relationship between them. In this chapter, the authors propose a modeling by selecting a Fuzzy Hierarchical Production Planning (FHPP) technique with zone covering in the mid-term and long-term time horizons electricity supply modeling in the Iran global compact network.

Rekonfiguration von Produktionsnetzwerken*/Planning of reconfigurable production networks

2018 ◽  
Vol 108 (03) ◽  
pp. 137-142
Author(s):  
J. Atug ◽  
S. Braunreuther ◽  
G. Reinhart
Keyword(s):  
Production Planning ◽  
Wird Eine ◽  
Production Networks ◽  
Short Term ◽  
Delivery Times ◽  
Future Production ◽  
Planning Approach ◽  
High Adherence ◽  
Demand Volatility ◽  
Increasing Demand

Starke Nachfrageschwankungen insbesondere in der auftragsbezogenen Produktion sowie die Forderung nach kürzeren Lieferzeiten und höherer Termintreue führen zu erhöhten Anforderungen an die zukünftige Produktion. Um diesen Anforderungen gerecht zu werden, bedarf es dynamischer Produktionsnetzwerke. In diesem Fachbeitrag wird eine Methode zur kurzfristigen Anpassung von Produktionsnetzwerken durch Rekonfiguration in der auftragsbezogenen Produktion vorgestellt.   Increasing demand volatility in order-based production as well as the need of shorter delivery times and high adherence to schedules leads to high requirements of the future production. To meet these essential requirements dynamic production networks are needed. In this technical contribution a production planning approach of short-term reconfiguration of production networks in the order-based production is given.

Hierarchical production planning in forestry using price-directed decomposition

2007 ◽  
Vol 37 (10) ◽  
pp. 2010-2021 ◽  
Author(s):  
Samuel D. Pittman ◽  
B. Bruce Bare ◽  
David G. Briggs
Keyword(s):  
Production Planning ◽  
Net Present Value ◽  
Forest Planning ◽  
Planning Model ◽  
Data Set ◽  
Decomposition Approach ◽  
Hierarchical Production Planning ◽  
Production Models ◽  
Planning Models ◽  
Land Inventory

Forest planning models have increased in size and complexity as planners address a growing array of economic, ecological, and societal issues. Hierarchical production models offer a means of better managing these large and complex models. Hierarchical production planning models decompose large models into a set of smaller linked models. For example, in this paper, a Lagrangian relaxation formulation and a modified Dantzig–Wolfe decomposition – column generation routine are used to solve a hierarchical forest planning model that maximizes the net present value of harvest incomes while recognizing specific geographical units that are subject to harvest flow and green-up constraints. This allows the planning model to consider forest-wide constraints such as harvest flow, as well as address separate subproblems for each contiguous management zone for which detailed spatial plans are computed. The approach taken in this paper is different from past approaches in forest hierarchical planning because we start with a single model and derive a hierarchical model that addresses integer subproblems using Dantzig–Wolfe decomposition. The decomposition approach is demonstrated by analyzing a set of randomly generated planning problems constructed from a large forest and land inventory data set.

scholarly journals A Finite Capacity of Production Planning Approach for Industrial Manufacturing

2013 ◽  
Vol 17 (1) ◽  
pp. 84-88
Author(s):  
Aboubaker Altiaieb Moussttfa ◽  
Dušan Malinžák
Keyword(s):  
Production Planning ◽  
Finite Capacity ◽  
Industrial Manufacturing ◽  
Planning Approach
Sign in / Sign up

Export Citation Format

Share Document