EconPapers    
Economics at your fingertips  
 

Multi-Echelon Supply Chains with Lead Times and Uncertain Demands

Hadi Farhangi ()
Additional contact information
Hadi Farhangi: Savannah State University

SN Operations Research Forum, 2021, vol. 2, issue 3, 1-25

Abstract: Abstract The aim of this work is to formulate a multi-echelon supply chain and schedule the productions, transportations, and inventories in this supply chain. This supply chain consists of a production echelon, a warehouse echelon, and a retailer echelon. Each echelon consists of multiple nodes. There are challenges of having lead times and uncertain demands in formulating and solving such a supply chain, mathematically. The lead times are incorporated in the formulation of this problem. To overcome the uncertainty of demand, two solution approaches are devised. Each solution approach utilizes two methods to obtain solutions. Solution methods are compared against Cplex solvers and their advantages are explored, computationally. To compare solution approaches, two external measures are used, which are called excess inventory and backlogging. The numerical analyses show a trade-off between solution approaches regarding these measures. In another word, it is shown that one-solution approach results in a lower backlogging, while the other results in a lower excess inventory. These solution approaches and methods provide options for decision makers, in which they can select them considering the priorities and needs.

Keywords: Lot-sizing; Multi-echelon; Uncertain demands; Lead times; Excess inventory; Backlogging (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
http://link.springer.com/10.1007/s43069-021-00080-1 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:snopef:v:2:y:2021:i:3:d:10.1007_s43069-021-00080-1

Ordering information: This journal article can be ordered from
https://www.springer.com/journal/43069

DOI: 10.1007/s43069-021-00080-1

Access Statistics for this article

SN Operations Research Forum is currently edited by Marco Lübbecke

More articles in SN Operations Research Forum from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().

 
Page updated 2025-03-20
Handle: RePEc:spr:snopef:v:2:y:2021:i:3:d:10.1007_s43069-021-00080-1