Anselmo Pitombeira | Universidade Federal do Ceará (original) (raw)

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Papers by Anselmo Pitombeira

Research paper thumbnail of Application of the traveling salesman problem heuristics to the reallocation of equipment in a small-size bakery aiming at minimizing bread production time

Summary form only given. This paper presents a case study of a small-size bakery whose problem is... more Summary form only given. This paper presents a case study of a small-size bakery whose problem is the reallocation of production equipment. The owner of the establishment intends to modify the current position of the warehouse, since raw material must be handled along the production system in order to be stored, jeopardizing the motion of bakers. This modification, though, would

Research paper thumbnail of A simulation-based evolutionary multiobjective approach to manufacturing cell formation

Computers & Industrial Engineering, Jan 1, 2010

The purpose of this paper is to propose a multiobjective optimization approach for solving the ma... more The purpose of this paper is to propose a multiobjective optimization approach for solving the manufacturing cell formation problem, explicitly considering the performance of this said manufacturing system. Cells are formed so as to simultaneously minimize three conflicting objectives, namely, the level of the work-in-process, the intercell moves and the total machinery investment. A genetic algorithm performs a search in the design space, in order to approximate to the Pareto optimal set. The values of the objectives for each candidate solution in a population are assigned by running a discrete-event simulation, in which the model is automatically generated according to the number of machines and their distribution among cells implied by a particular solution. The potential of this approach is evaluated via its application to an illustrative example, and a case from the relevant literature. The obtained results are analyzed and reviewed. Therefore, it is concluded that this approach is capable of generating a set of alternative manufacturing cell configurations considering the optimization of multiple performance measures, greatly improving the decision making process involved in planning and designing cellular systems.

Research paper thumbnail of Application of the traveling salesman problem heuristics to the reallocation of equipment in a small-size bakery aiming at minimizing bread production time

Summary form only given. This paper presents a case study of a small-size bakery whose problem is... more Summary form only given. This paper presents a case study of a small-size bakery whose problem is the reallocation of production equipment. The owner of the establishment intends to modify the current position of the warehouse, since raw material must be handled along the production system in order to be stored, jeopardizing the motion of bakers. This modification, though, would

Research paper thumbnail of A simulation-based evolutionary multiobjective approach to manufacturing cell formation

Computers & Industrial Engineering, Jan 1, 2010

The purpose of this paper is to propose a multiobjective optimization approach for solving the ma... more The purpose of this paper is to propose a multiobjective optimization approach for solving the manufacturing cell formation problem, explicitly considering the performance of this said manufacturing system. Cells are formed so as to simultaneously minimize three conflicting objectives, namely, the level of the work-in-process, the intercell moves and the total machinery investment. A genetic algorithm performs a search in the design space, in order to approximate to the Pareto optimal set. The values of the objectives for each candidate solution in a population are assigned by running a discrete-event simulation, in which the model is automatically generated according to the number of machines and their distribution among cells implied by a particular solution. The potential of this approach is evaluated via its application to an illustrative example, and a case from the relevant literature. The obtained results are analyzed and reviewed. Therefore, it is concluded that this approach is capable of generating a set of alternative manufacturing cell configurations considering the optimization of multiple performance measures, greatly improving the decision making process involved in planning and designing cellular systems.

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