TY - JOUR

T1 - Cell formation in group technology using constraint programming and Boolean satisfiability

AU - Soto, Ricardo

AU - Kjellerstrand, Hakan

AU - Durán, Orlando

AU - Crawford, Broderick

AU - Monfroy, Eric

AU - Paredes, Fernando

PY - 2012/10/1

Y1 - 2012/10/1

N2 - Cell formation consists in organizing a plant as a set of cells, each of them containing machines that process similar types or families of parts. The idea is to minimize the part flow among cells in order to reduce costs and increase productivity. The literature presents different approaches devoted to solve this problem, which are mainly based on mathematical programming and on evolutionary computing. Mathematical programming can guarantee a global optimal solution, however at a higher computational cost than an evolutionary algorithm, which can assure a good enough optimum in a fixed amount of time. In this paper, we model and solve this problem by using state-of-the-art constraint programming (CP) techniques and Boolean satisfiability (SAT) technology. We present different experimental results that demonstrate the efficiency of the proposed optimization models. Indeed, CP and SAT implementations are able to reach the global optima in all tested instances and in competitive runtime.

AB - Cell formation consists in organizing a plant as a set of cells, each of them containing machines that process similar types or families of parts. The idea is to minimize the part flow among cells in order to reduce costs and increase productivity. The literature presents different approaches devoted to solve this problem, which are mainly based on mathematical programming and on evolutionary computing. Mathematical programming can guarantee a global optimal solution, however at a higher computational cost than an evolutionary algorithm, which can assure a good enough optimum in a fixed amount of time. In this paper, we model and solve this problem by using state-of-the-art constraint programming (CP) techniques and Boolean satisfiability (SAT) technology. We present different experimental results that demonstrate the efficiency of the proposed optimization models. Indeed, CP and SAT implementations are able to reach the global optima in all tested instances and in competitive runtime.

KW - Boolean satisfiability

KW - Constraint programming

KW - Machine grouping

KW - Manufacturing cells

UR - http://www.scopus.com/inward/record.url?scp=84861342711&partnerID=8YFLogxK

U2 - 10.1016/j.eswa.2012.04.020

DO - 10.1016/j.eswa.2012.04.020

M3 - Article

AN - SCOPUS:84861342711

VL - 39

SP - 11423

EP - 11427

JO - Expert Systems with Applications

JF - Expert Systems with Applications

SN - 0957-4174

IS - 13

ER -