Hierarchical Production Planning in Flexible Automated Workshops with Delay Interaction

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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Two-Level Hierarchical Production Planning for a Semiconductor Probing Facility

Journal of Society of Korea Industrial and Systems Engineering ◽

10.11627/jkise.2015.38.4.159 ◽

2015 ◽

Vol 38 (4) ◽

pp. 159-167 ◽

Cited By ~ 1

Author(s):

June-Young Bang

Keyword(s):

Production Planning ◽

Hierarchical Production Planning

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A New Modeling and Application of Hierarchical Production Planning Approach

Advances in Civil and Industrial Engineering - Production and Manufacturing System Management ◽

10.4018/978-1-4666-2098-8.ch007 ◽

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.

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