Planning problems can be solved with a large variety of different approaches, and a significant amount of work has been devoted to the automation of planning processes using different kinds of methods. This paper focuses on the use of specific local search algorithms for real-world production planning based on experiments with real-world data, and presents an adapted local search guided by evol...

Multi-plant production planning problem deals with the determination of type and quantity of products to produce at the plants over multiple time periods. Hierarchical production planning provides a formal bridge between long-term plans and short-term schedules. A hybrid simulation-based hierarchical production planning architecture consisting of system dynamics (SD) components for the enterpri...

This paper discusses multiproduct aggregate production planning (APP) decision making problems in fuzzy random environments. To maximize the chance of obtaining the profit more than the predetermined profit over the whole planning horizon, a fuzzy random APP model is established, in which the market demand, production cost, subcontracting cost, inventory carrying cost, backorder cost, product c...

In this paper we present a model and a solution approach for integration of steel continuous casters and hot strip mills to provide more responsive steel production at lower unit cost. We describe the production environment and survey existing methods for planning continuous casters and hot strip mills. Since these processes lie at the solid/liquid interface we use “virtual” slabs, correspondin...

Casting planning as propositional satisfiability has been recently shown to be a very promising technique of plan synthesis. Some challenges, one of which is the development of hybrid propositional encodings (that combine the important notions from the existing encodings) have also been posed to the community [1]. The existing encodings [3] are either entirely based only on the plan space plann...

Production management performance relies on data specified by engineers that are neither an economists nor production planners. Therefore, production planning and control becomes a complex task. This paper presents a method where engineer's task is not to make decisions but rather to prepare a "road map". Each user will generate routine that meets his needs at the time of need by using KBMS CAP...

The potential for soil carbon (C) sequestration under short-rotation woody crops, like hybrid poplar (Populus spp.), is a significant uncertainty in our understanding of how managed tree plantations might be used to partially offset increasing atmospheric CO2 concentrations. Through development of amulti-compartmentmodel,we reviewed information fromstudies on hybrid poplar and analyzed the pote...

In this paper we address the problem of designing energy minimizing collision-free maneuvers for multiple agents moving on a plane. We show that the problem is equivalent to that of finding the shortest geodesic in a certain manifold with nonsmooth boundary. This allows us to prove that the optimal maneuvers are C by introducing the concept of u-convex manifolds. Moreover, due to the nature of ...

achieving optimal production cycle time for improving manufacturing processes is one of the common problems in production planning. during recent years, different approaches have been developed for solving this problem, but most of them assume that mean quality characteristic is constant over production run length and sets it on customer’s target value. however, the process mean may drift from ...

The optimum use of the upstream resources, production corresponding to the market demands, and structural constraints for the optimum production with the less wastes during the most rapid time required by the market which finally result in the more profit for the shareholders are considered as the major objectives of this research. In this research, for the purpose of increasing the efficiency ...