A Hierarchical Production Planning System (original) (raw)
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A Modelling Technique for Production Planning
1992
The purpose of a production plan is to help elaborating and combining decisions on a mean-term or a long-term basis. This objective explains why planning problems can only be solved for models generally obtained by aggregation and simplification. In the framework of an integrated decision structure, a production plan needs to be refined and specified through a detailed scheduling of operations on the various machines. The production planning model presented in this paper is a discrete-time input-output model. It allows the use of optimal control methods. There is a correspondence between this model and the queueing network model describing the manufacturing system. This correspondence provides a direct interpretation of the decision variables of the planning problem as the reference values for the real-time release of processing orders.
OR Spectrum, 2016
The hierarchical planning concept is commonly used for production planning. Dividing the planning process into subprocesses which are solved separately in the order of the hierarchy decreases the complexity and fits the common organizational structure. However, interaction between planning levels is crucial to avoid infeasibility and inconsistency of plans. Furthermore, optimizing subproblems often leads to suboptimal results for the overall problem. The alternative, a monolithic model integrating all planning levels, has been rejected in the literature because of several reasons. In this study, we show that some of them do not hold for an integrated production planning model combining the planning tasks usually attributed to aggregate production planning and master production scheduling. Therefore, we develop a hierarchical and an integrated model considering both levels, aggregate production planning and master production scheduling. Computational tests show that it is possible to solve the integrated model and that it outperforms the hierarchical approach for all instances. Moreover, an indication is given why and when integration is beneficial.
Hierarchical production planning and multi-echelon inventory management
International Journal of Production Economics, 1992
In this paper we present a framework for the planning and control of the materials flow in a multi-item production system. Our prime objective is to meet a prespecitied customer service level at minimum overall costs. In order to motivate our study we first outline the basic architecture of a logistic control system developed at Philips Electronics. Guided by this exposure, we next describe the basic algorithmic framework which is needed to turn the conceptual ideas into operational procedures. The theory is extended with hierarchical planning procedures recognizing the need to first plan on a product family Ieve before disaggregating into plans for end-items.
Aggregation - the key to integrating production planning and scheduling
CIRP Annals - Manufacturing Technology, 2004
In this paper we suggest an integrated planning and scheduling framework with a special emphasis on the link between these control levels. Our planning model is generated automatically by performing aggregation on de facto standard product and technology related data in the dimensions of time, resource capacities and operations. The method addresses make-to-order production environments. An industrial case study is also presented, demonstrating how our algorithms work on large-scale problem instances.
On the Design of Hierarchical Production Planning Systems
Decision Sciences, 1977
To provide effective managerial support for decisions related to production planning and scheduling processes, it is useful to partition the set of decisions into a hierarchical framework. In the resulting system, higher level decisions impose constraints on lower level actions, and lower level decisions provide the necessary feedback to reevaluate higher level actions. The purpose of this paper is to suggest optimum procedures to deal with the resulting subproblems and to analyze the interaction mechanisms among the different hierarchical levels. Computational results are given.
A short term production planning and scheduling model
Engineering Costs and Production Economics, 1989
An optimal' derision making model is developed to assist the manufacturer to select among the potentiaI customer orders, which orders to reject and which orders to accept and in what quantities such that the net operational profit during the planning time horizon will be maximized. This model is developed based on the group technology concept and assumes that (i) job splitting is allowed, (ii) all the necessary stages of operation of each job (e.g., a batch of identical parts with a specified due date, avuiIability