EconPapers    
Economics at your fingertips  
 

Incorporating analytical hierarchy process and goal programming to design responsive and efficient supply chains

Raed Al-Husain and Reza Khorramshahgol

Operations Research Perspectives, 2020, vol. 7, issue C

Abstract: The main aim of this article is to propose a new supply chain (SC) design methodology in order to enable organizations to better utilize their resources and structure their SC drivers to achieve the desired level of responsiveness and efficiency. A great challenge in this endeavor is that the SC drivers, which are categorized as logistical and cross-functional, are interrelated and have different (often conflicting) performance measures. By combining the analytical hierarchy process (AHP) with weighted binary goal programming (GP), this article introduces a two-stage approach to SC design. At the initial stage, the AHP model attempts to develop weights for the efficiency and responsiveness of the overall SC design as well as the individual SC drivers. These weights are subsequently used in the latter stage to construct a GP model to determine the optimal set of SC-driver decisions that would develop the overall satisfactory SC design.

Keywords: Supply chain design; Analytical hierarchy process; Goal programming; Responsiveness; Efficiency (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (4)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S2214716020300397
Full text for ScienceDirect subscribers only

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:eee:oprepe:v:7:y:2020:i:c:s2214716020300397

DOI: 10.1016/j.orp.2020.100149

Access Statistics for this article

Operations Research Perspectives is currently edited by Rubén Ruiz Garcia

More articles in Operations Research Perspectives from Elsevier
Bibliographic data for series maintained by Catherine Liu ().

 
Page updated 2025-03-19
Handle: RePEc:eee:oprepe:v:7:y:2020:i:c:s2214716020300397