Title
A New Inventory Model For Cold Items That Considers Costs And Emissions
Keywords
Cold supply chain; Lot-sizing models; Sustainability; Unit capacity
Abstract
A new inventory model that considers both cost and emission functions is proposed for environments where temperature-controlled items need to be stored at a certain, non-ambient temperature and to do so modular temperature-control units are used. Transportation unit capacity and storage unit capacity are considered, which results in non-linear, non-continuous cost and emissions functions. A set of exact algorithms are developed to find the optimal order quantity based on cost and emission function minimization, and the mathematical proof of the optimality of the solutions are presented. Using a variety of parameter ratios, a set of experiments are run to show the effectiveness of the proposed model compared to the current models in the literature and to provide managerial insights into the cold item inventory problem. Optimum order quantity for cost function optimization and emission function optimization are compared against each other and the tradeoff between the functions is analyzed to provide insights. © 2014 Elsevier B.V. All rights reserved.
Publication Date
1-1-2014
Publication Title
International Journal of Production Economics
Volume
155
Number of Pages
114-125
Document Type
Article
Personal Identifier
scopus
DOI Link
https://doi.org/10.1016/j.ijpe.2014.01.006
Copyright Status
Unknown
Socpus ID
84906232843 (Scopus)
Source API URL
https://api.elsevier.com/content/abstract/scopus_id/84906232843
STARS Citation
Bozorgi, Ali; Pazour, Jennifer; and Nazzal, Dima, "A New Inventory Model For Cold Items That Considers Costs And Emissions" (2014). Scopus Export 2010-2014. 9352.
https://stars.library.ucf.edu/scopus2010/9352