Compromising allocation for optimising agri-food supply chain distribution network: a fuzzy stochastic programming approach

Srikant Gupta (), Sachin Chaudhary (), Rajesh Kr Singh (), Jose Arturo Garza-Reyes () and Vikas Kumar ()
Additional contact information
Srikant Gupta: Jaipuria Institute of Management
Sachin Chaudhary: Autonomous State Medical College
Rajesh Kr Singh: Management Development Institute
Jose Arturo Garza-Reyes: The University of Derby
Vikas Kumar: Birmingham City University

International Journal of System Assurance Engineering and Management, 2024, vol. 15, issue 6, No 2, 2019-2041

Abstract: Abstract The management of Agri-food supply chains is a complex task, given the unique product characteristics, perishability, uncertain demand, and specific storage requirements. This research introduces an innovative approach to optimizing product allocation among producers, brokers, wholesalers, and retailers, focusing on minimizing transportation costs and network delivery time through multi-objective programming. To address uncertainties, supply and demand constraints are modelled using a gamma distribution, and the maximum likelihood estimation method determines their parameters with specified probabilities. The study conducts a case analysis to showcase the model’s practical effectiveness, and a numerical comparison with alternative approaches is included. The primary goal of this study is to enhance the efficiency of agri-food supply chain management practices, providing valuable insights for practitioners in the field, with a focus on cost reduction and improved delivery time.

Keywords: Multi-objective optimization; Supply chain network; Stochastic programming; Gamma distribution; Maximum likelihood estimation; Fuzziness (search for similar items in EconPapers)
Date: 2024
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
http://link.springer.com/10.1007/s13198-023-02234-2 Abstract (text/html)
Access to the full text of the articles in this series is restricted.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:ijsaem:v:15:y:2024:i:6:d:10.1007_s13198-023-02234-2

Ordering information: This journal article can be ordered from
http://www.springer.com/engineering/journal/13198

DOI: 10.1007/s13198-023-02234-2

Access Statistics for this article

International Journal of System Assurance Engineering and Management is currently edited by P.K. Kapur, A.K. Verma and U. Kumar

More articles in International Journal of System Assurance Engineering and Management from Springer, The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().