Product costing in the strategic formation of a supply chain
Renato Matta ()
Additional contact information
Renato Matta: University of Iowa
Annals of Operations Research, 2019, vol. 272, issue 1, No 18, 389-427
Abstract:
Abstract This study presents manufacturing and distribution network models for strategic supply chain planning. Where prices of intermediate products in the supply chain are not readily available, we study the influence on the formation of the supply chain of using either direct product costing or full absorption costing for setting internal prices. We develop a generalized Benders decomposition-based approach to solve the models. Problems representing a variety of scenarios that simulates different economic environments are solved. Our computational results show that the product costing method could influence the concentration of production activities at potential manufacturing locations, production and shipment quantities, product prices, and allocation of profits in the supply chain.
Keywords: Decision support models; Supply chain management; Pricing; Supply disruption; Operations management; Capacity planning (search for similar items in EconPapers)
Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)
Downloads: (external link)
http://link.springer.com/10.1007/s10479-017-2463-x 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:annopr:v:272:y:2019:i:1:d:10.1007_s10479-017-2463-x
Ordering information: This journal article can be ordered from
http://www.springer.com/journal/10479
DOI: 10.1007/s10479-017-2463-x
Access Statistics for this article
Annals of Operations Research is currently edited by Endre Boros
More articles in Annals of Operations Research from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().