Evidence Of The Relevance Of Master Production Scheduling For Hierarchical Production Planning

2017 ◽  
Author(s):  
Thorsten Vitzthum ◽  
Frank Herrmann
Keyword(s):  
Production Planning ◽  
Production Scheduling ◽  
Hierarchical Production Planning ◽  
Master Production Scheduling

Research on Production Scheduling Method and the Application in Switch Machine Production Enterprise

2012 ◽  
Vol 190-191 ◽  
pp. 156-159
Author(s):  
Jian Qing Chen
Keyword(s):  
Production Scheduling ◽  
Product Configuration ◽  
Production Schedule ◽  
Material Requirements Planning ◽  
Enterprise Informatization ◽  
Order Processing ◽  
Master Production Scheduling ◽  
Sales Forecasts ◽  
Planning Methods ◽  
Scheduling Method

This paper is under the research background of a switch machine production enterprise informatization projects, and the production schedule is mainly based on customer orders and sales forecasts. This paper mainly studies the combination of similar order processing sheets according to the similarity of types and specifications of products in an order processing sheet, and the experience of master production scheduling personnel, to generate the master production scheduling methods and techniques. Finally, studies the material requirements planning methods based on nested components, focusing on the configuration of parts and components of such products in the product configuration.

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.

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