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Issue title: Special Section: Collective intelligence in information systems
Guest editors: Ngoc Thanh Nguyen, Edward Szczerbicki, Bogdan Trawiński and Van Du Nguyen
Article type: Research Article
Authors: Hernes, Marcina; * | Sobieska-Karpińska, Jadwigab
Affiliations: [a] Wrocław University of Economics, Komandorska, Wrocław, Poland | [b] The Witelon State University of Applied Sciences in Legnica, ul. Sejmowa, Legnica, Poland
Correspondence: [*] Corresponding auhtor. Marcin Hernes, Wrocław University of Economics, Komandorska 118/120, 53-345 Wrocław, Poland. E-mail: marcin.hernes@ue.wroc.pl.
Abstract: The supply chain is a key element of successful operation of businesses in a turbulent economic situation. Swift management of delivery of raw materials and finished products while keeping costs as low as possible and maintaining proper customer service is becoming as vital as the quality and price of a product when gaining competitive advantage. This leads companies to a wide search for the best strategies that allow efficient management of the supply chain. The basic problem, however, is the occurrence of the so-called Forrester effect (also known as the bullwhip effect). It involves intensified transposing of changes in demand onto the execution of product flow in supply chains. The aim of this article is to develop a manner to reduce the Forrester effect using the consensus method. The first part of the article analyzed the current state of knowledge on the discussed problem. Then it presented basic elements of the developed prototype of a SCM system and defined the meth-od for reducing the Forrester effect using a consensus algorithm. The final part of the article de-scribes the way to conduct an experiment that involves verifying the consensus algorithm and analyzes the results of the verification and their influence on the reduction of the Forrester effect.
Keywords: Supply chain management, Forrester effect, consensus methods
DOI: 10.3233/JIFS-179342
Journal: Journal of Intelligent & Fuzzy Systems, vol. 37, no. 6, pp. 7325-7335, 2019
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