Abstract
ABSTRACTThe relationships between supply chain management and industrial clusters (groups of similar and interconnected companies in a particular field located in the same geographical area) have been imperfectly mathematically investigated so far, despite their intrinsic correlation. A supply–demand hub in industrial clusters (SDHIC) as a public provider of logistics services, managed by a third party logistics provider, is proposed to minimize total costs. The activities of companies within an industrial cluster are first modelled in terms of a two-stage stochastic programming model and then an acceleration technique for the Benders decomposition (BD) algorithm is proposed. To evaluate the effects of the accelerating method, four versions of BD are developed. To show the applicability of the proposed model, a case study including a sensitivity analysis of its main parameters is presented. Lastly, several managerial insights are offered.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
