EconPapers    
Economics at your fingertips  
 

Developing Indian grain supply chain cost model: a system dynamics approach

Amit Sachan, B.S. Sahay and Dinesh Sharma

International Journal of Productivity and Performance Management, 2005, vol. 54, issue 3, 187-205

Abstract: Purpose - The objective of the present study is to model the total supply chain cost (TSCC) of an Indian grain chain in order to understand and predict the future outcome of each supply chain model in different situations and to devise policies accordingly to reduce TSCC. Design/methodology/approach - The system dynamics (SD) approach is used to model the TSCC model of an Indian grain chain, which takes care of the dynamic interaction of the cost variables. Findings - The major findings of the paper are the reduced cost ratios in the different scenarios. A total of nine scenarios are evaluated, which are the cooperative model, contract farming and a collaborative supply chain based on optimistic, pessimistic and most likely views. Practical implications - The practical implications are the action plans suggested to reduce TSCC in each of the future scenarios of the supply chain model that are developed in the paper. Originality/value - The TSCC model is beneficial not only for organizations entering into the food business, but also for economic policy makers.

Keywords: Supply chain management; Dynamics; Food crops; India (search for similar items in EconPapers)
Date: 2005
References: Add references at CitEc
Citations:

Downloads: (external link)
https://www.emerald.com/insight/content/doi/10.110 ... d&utm_campaign=repec (text/html)
https://www.emerald.com/insight/content/doi/10.110 ... d&utm_campaign=repec (application/pdf)
Access to full text is restricted to subscribers

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:eme:ijppmp:17410400510584901

DOI: 10.1108/17410400510584901

Access Statistics for this article

International Journal of Productivity and Performance Management is currently edited by Dr Luisa Huatuco and Dr Nicky Shaw

More articles in International Journal of Productivity and Performance Management from Emerald Group Publishing Limited
Bibliographic data for series maintained by Emerald Support ().

 
Page updated 2025-03-19
Handle: RePEc:eme:ijppmp:17410400510584901