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Integrated Inventory Models with Process Quality Improvement under Imperfect Quality and Carbon Emissions

Authors: Kuo-Lung Hou; Li-Chiao Lin; Yung-Fu Huang;

Integrated Inventory Models with Process Quality Improvement under Imperfect Quality and Carbon Emissions

Abstract

The paper develops the integrated inventory models with imperfect quality and environmental impact. Specially, the capital investments strategies in process quality improvement are adopted. In addition, we further consider the operations decisions in ordering, production, and transportation involving carbon emission costs. An efficient algorithm is presented to determine the optimal order quantity, process quality, shipment size and the number of shipments that minimizes the total expected cost of the integrated vendor-buyer inventory model in a coordinated supply chain. This integrated inventory model is useful particularly for JIT inventory systems where the vendor and the buyer form a strategic alliance for profit sharing. Finally, a numerical example is provided to illustrate the theoretical results. Sensitivity analysis is carried out to investigate the model parameters effects on the optimal solution. Managerial implications are also included.

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Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
3
Average
Average
Average
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