2020
DOI: 10.1016/j.cie.2020.106800
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Sustainable dynamic lot sizing models for cold products under carbon cap policy

Abstract: Highlights A cold product exhibiting a discrete time varying demand is considered. Two models are presented one for the total carbon cap and the other for periodic cap. A lagrangean relaxation and a bi-section method based algorithms are developed for Model 1. Model 2 is solved via a dynamic programming based algorithm. Sensitivity analysis is performed on the effect of the preset total and periodic caps.

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Cited by 18 publications
(13 citation statements)
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“…Broadly speaking, this body of literature suggests that substantial reduction in carbon emissions can be attained via better coordinated lot sizing and shipping decisions among SC members. However, the majority of these models address single stage and single product settings [22]. A pioneering work in this area is that of Chen et al [63] who adopted the four carbon policies (carbon tax, carbon cap, carbon offset, and cap-and-trade) in the context of the infamous single stage Economic Order Quantity (EOQ) model.…”
Section: Relevant Literaturementioning
confidence: 99%
See 1 more Smart Citation
“…Broadly speaking, this body of literature suggests that substantial reduction in carbon emissions can be attained via better coordinated lot sizing and shipping decisions among SC members. However, the majority of these models address single stage and single product settings [22]. A pioneering work in this area is that of Chen et al [63] who adopted the four carbon policies (carbon tax, carbon cap, carbon offset, and cap-and-trade) in the context of the infamous single stage Economic Order Quantity (EOQ) model.…”
Section: Relevant Literaturementioning
confidence: 99%
“…On the other hand, the quantity, rather than price, based carbon cap policy imposes a limit on the maximum footprint generated over a certain period of time which is exogenously imposed by the legislative authorities. Several studies have adopted the carbon cap policy where they established the necessary operational adjustments that need to be carried out in adherence to various levels of the preset cap (see for instance Absi et al [20,21] and As'ad et al [22]). A detailed discussion of these policies seeking to curb carbon emissions can be found in the works of Hariga et al [23] and Mohammed et al [24].…”
Section: Introductionmentioning
confidence: 99%
“…Carbon tax systems are widely used to include the cost of carbon emissions in the objective function [26][27][28][29][30][31]. Other carbon regulations such as carbon cap-and-trade and strict carbon limits are also used, depending on the regulations imposed by the government [32,33]. Datta [34] developed an inventory model with investment in emission reduction technology focusing on emissions from production activities.…”
Section: Literature Reviewmentioning
confidence: 99%
“…Saif and Elhedhli (2016) modelled the cold SC design problem by considering capacity, transportation, inventory costs and global warming impact. As'ad et al (2020) determined the optimal lot size by comparing the operational cost and carbon footprint performance under alternative carbon cap policies. Liljestrand et al.…”
Section: Literature Reviewmentioning
confidence: 99%
“…Saif and Elhedhli (2016) modelled the cold SC design problem by considering capacity, transportation, inventory costs and global warming impact. As'ad et al (2020) determined the optimal lot size by comparing the operational cost and carbon footprint performance under alternative carbon cap policies. Liljestrand et al (2015) proposed a decision support tool with the aim of carbon footprint reduction, which incorporates the logistics network's complexity by analysing the patterns in the shipment statistics.…”
Section: Blockchain For Operational Excellencementioning
confidence: 99%