Integrated versus hierarchical approach to aggregate production planning and master production scheduling (original) (raw)

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.

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.

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.

Integrated production planning and scheduling using a decomposition framework

Chemical Engineering Science, 2009

In this paper, a production system organized in serial shops (hybrid #owshop) is presented. A brief enumeration of the essential constraints that characterize this kind of organizations is given. Then, the objectives of a decision support system (DSS) are stated. The di!erent elements composing this DSS are described. The DSS is composed of two main ingredients: (1) decomposition into planning and scheduling, and (2) closed loop or feedback mechanism. The approach adopted in this paper is mainly de"ned with respect to the decomposition ingredient. Special attention is also paid to the interaction between loading and scheduling. The feedback mechanism is done by simulation. In fact, a simulation model is developed for the whole production system taking into account all its speci"c characteristics. An illustrative example explains in detail the feature of the proposed DSS.