caa a22 4500 445359781 CHVBK 20180317142911.0 cr unu---uuuuu 170323e20111201xx s 000 0 eng 10.1007/s10100-010-0144-9 doi (NATIONALLICENCE)springer-10.1007/s10100-010-0144-9 A fuzzy goal programming and meta heuristic algorithms for solving integrated production: distribution planning problem [Elektronische Daten] [F. Jolai, J. Razmi, N. Rostami] Integrated production-distribution planning is one of the most important issues in supply chain management (SCM). We consider a supply chain (SC) network to consist of a manufacturer, with multiple plants, products, distribution centers (DCs), retailers and customers. A multi-objective linear programming problem for integrating production-distribution, which considers various simultaneously conflicting objectives, is developed. The decision maker's imprecise aspiration levels of goals are incorporated into the model using a fuzzy goal programming approach. Due to complexity of the considered problem we propose three meta-heuristics to tackle the problem. A simple genetic algorithm and a particle swarm optimization (PSO) algorithm with a new fitness function, and an improved hybrid genetic algorithm are developed. In order to show the efficiency of the proposed methods, two classes of problems are considered and their instances are solved using all methods. The obtained results show that the improved hybrid genetic algorithm gives us the best solutions in a reasonable computational time. Springer-Verlag, 2010 Supply chain nationallicence Fuzzy goal programming nationallicence Genetic algorithm nationallicence Particle swarm optimization nationallicence Jolai F. Department of Industrial Engineering, College of Engineering, University of Tehran, P.O. Box 11155-4563, Tehran, Iran aut Razmi J. Department of Industrial Engineering, College of Engineering, University of Tehran, P.O. Box 11155-4563, Tehran, Iran aut Rostami N. Department of Industrial Engineering, College of Engineering, University of Tehran, P.O. Box 11155-4563, Tehran, Iran aut Central European Journal of Operations Research Springer-Verlag 19/4(2011-12-01), 547-569 1435-246X 19:4<547 2011 19 10100 https://doi.org/10.1007/s10100-010-0144-9 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/s10100-010-0144-9 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Jolai F. Department of Industrial Engineering, College of Engineering, University of Tehran, P.O. Box 11155-4563, Tehran, Iran aut NATIONALLICENCE 700 1- Razmi J. Department of Industrial Engineering, College of Engineering, University of Tehran, P.O. Box 11155-4563, Tehran, Iran aut NATIONALLICENCE 700 1- Rostami N. Department of Industrial Engineering, College of Engineering, University of Tehran, P.O. Box 11155-4563, Tehran, Iran aut NATIONALLICENCE 773 0- Central European Journal of Operations Research Springer-Verlag 19/4(2011-12-01), 547-569 1435-246X 19:4<547 2011 19 10100 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer