Primena multiagentnih sistema u upravljanju lancem snabdevanja

Abstract

U tradicionalnom načinu poslovanja pregovaranje podrazumeva dug proces, i to je razlog što se razvijaju računarski metodi kojima bi se pomoglo odlučivanju. Poslednjih godina učinjeni su veliki napori u oblasti istraživanja i razvoja inteligentnih agenata i multiagentnih sistema za automatizaciju pregovaranja u upravljanju lancem snabdevanja. Glavni zadatak multiagentnog sistema jeste da poveže pojedinačno razvijene agente u jedinstveni sistem koji omogućava saradnju i interakciju između agenata. Na taj način dobija se efikasniji sistem odlučivanja u odnosu na pojedinačnu primenu svakog posebnog agenta. Cilj ovog rada jeste da istakne pozitivne efekte dobijene uvođenjem multiagentne tehnologije u upravljanjem lancem snabdevanja. Primena multiagentnih sistema dovodi do značajnih poboljšanja u oblasti procesa komunikacije i pregovaranja, smanjenja troškova (utroška vremena i resursa), zadovoljstva potrošača, efikasnosti lanca snabdevanja, smanjenja ljudskog rada, kontrole inventara, virtualnog udruživanja, itd. .

In traditional business, negotiation is viewed as a long process, which has resulted in the development of computer methods to aid decision making. In recent years great effort has been invested in research and development of intelligent agents and multi-agent systems for automation of negotiation in supply chain management. The main task of multi-agent system is to link independently developed agents in a single system that allows collaboration and interaction between agents. That way you get much more efficient system for decision making in relation to the case of individual use of each of the agents. The aim of this paper is to highlight the positive effects that are achieved by the introduction of multi-agent technology in supply chain management. Application of multi-agent systems results in significant improvements in the field of communication and negotiation processes, costs reductions (expenditure of time and resources), customer satisfaction, supply chain efficiency, reduction of human work, inventory control, virtual pooling etc. .