An EOQ Model with Carbon Emissions and Inflation for Deteriorating Imperfect Quality Items under Learning Effect

Alamri, Osama Abdulaziz; Jayaswal, Mahesh Kumar; Khan, Faizan Ahmad; Mittal, Mandeep

doi:10.3390/su14031365

Cited by 21 publications

(12 citation statements)

References 42 publications

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“…Jayaswal et al (2022) [21] gave an inventory model with cloudy fuzzy concept under trade-credit for imperfect quality items. Alamri et al (2022) [22], presented carbon emissions-based inventory model with the effect of inflation under learning effect. Finally, we have developed a mathematical model with carbon emissions, preservation technology and trade credit policy under learning in fuzzy for deteriorating items through supply chain.…”

Section: Literature Reviewmentioning

confidence: 99%

“…Mashud et al (2021) [30] considered a supply chain model with different realistic situations for deteriorating items. Alamri et al (2022) [22], developed a carbon emissions-based inventory model for deteriorating items under inspection process. Mahata and Debnath (2022) [31], generalized a model for deteriorating items under preservation technology where deterioration beings during carrying of items.…”

Section: Research Gap and Our Presently Contributionmentioning

confidence: 99%

“…(4) Total carbon units (TCU) due to holding units from 0 to T 2 which can be calculated (Alamri et al (2022) [22]), TCU =…”

Section: Mathematical Modelmentioning

confidence: 99%

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A Supply Chain Model with Carbon Emissions and Preservation Technology for Deteriorating Items under Trade Credit Policy and Learning in Fuzzy

Alamri

2023

Mathematics

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In this study, a supply chain model is proposed with preservation technology under learning fuzzy theory for deteriorating items where the demand rate depends on the selling price and also treats as a triangular fuzzy number. The deterioration rate of any item cannot be eliminated due to its natural process, but it can be controlled with the help of preservation technology. Some harmful gases are emitted during the preservation process due to deteriorating items that harm the environment. In general, it can be easily seen that most of the sellers offer a trade credit policy to their regular buyers. In this paper, the retailer’s inventory stock reduces due to demand and deterioration. It is also assumed that some units are defective due to machine defects or delivery inefficiency. The retailer accepted the policy of trade credit offered by the seller. The aim of this paper is to enhance the profit of the supply chain partners. We proposed a theorem to get the optimal values of the selling price and cycle length. The retailer’s total profit is a function of selling price and cycle length, and the retailer’s total profit is optimized with respect to selling price and cycle length under trade-credit. Numerical examples are also presented for the validation of the present study, and sensitivity analysis is also discussed to know the robustness of the supply chain model. Managerial insight and observation have been given in the sensitivity section. Limitations and future work of this paper have been presented in the conclusion section.

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Section: Literature Reviewmentioning

confidence: 99%

Section: Research Gap and Our Presently Contributionmentioning

confidence: 99%

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A Supply Chain Model with Carbon Emissions and Preservation Technology for Deteriorating Items under Trade Credit Policy and Learning in Fuzzy

Alamri

2023

Mathematics

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“…Sheikh et al [7] developed two EOQ models with and without shortages and considering purchasing and holding cost constant. Mittal et al [8] proposed an inventory model for deteriorating imperfect items with learning effect and carbon emissions.…”

Section: Introductionmentioning

confidence: 99%

Economic order quantity model for imperfect quality items with environmental regulations

Raiya

Mittal

2022

Yugosl J Oper Rres

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In real life situation, advance technologies are used to produce items but due to some technical error imperfect items are produced. Therefore it is necessary to separate these imperfect items by complete screening process and such items are sold at discounted price at the end of screening process. This paper study about the EOQ model for imperfect items with shortage and zero lead time. Additionally, it provides a model to reduce emissions by including carbon cap, carbon tax, carbon cap and offset and carbon price. The main purpose of the developed model is to reduce the carbon emission when there are imperfect items using KKT(Karush Kuhn Tucker) conditions and the impact of imperfect quality items can be seen in the sensitive analysis part. The retailer should be more vigilant while ordering. Numerical examples are provided to illustrate the procedure.

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“…The integration of various other factors in the EOQ model makes EOQ more applicable to various situations. Alamri et al (2022) The development of the EOQ model can also be related to the characteristics of the existing parameters. Nestorenko et al (2020) were concerned with price fluctuations and variable reorder time into the EOQ model.…”

Section: Literature Reviewmentioning

confidence: 99%

An Economic Order Quantity (EOQ) Model for Chemotherapy Drugs Using New Patients’ Arrival Rates

Proceedings of the International Conference on Industrial Engineering and Operations Management

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The Covid-19 pandemic situation and cancer burden trend lead the changes in the chemotherapy drugs demand. Chemotherapy can have several cycles of administration that take months. Moreover, delays can occur if the patient's physical condition is not ready to undergo the process of administration, and the data will be complete after several months. The availability of new patients' arrival data is faster than the demand data. The approach to integrating this arrival data into the economic order quantity (EOQ) model is the focus of this study. The demand rate is estimated using new patient arrivals data and the constant transition probabilities. Model development using infinite geometric series and validated by simulation using a spreadsheet. The results show the effectiveness of new patients' arrivals data replacing the demand data with the resulting sensitivity equivalence. Inventory decisions are sensitive when new patients' arrival rates are close to zero.

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An EOQ Model with Carbon Emissions and Inflation for Deteriorating Imperfect Quality Items under Learning Effect

Cited by 21 publications

References 42 publications

A Supply Chain Model with Carbon Emissions and Preservation Technology for Deteriorating Items under Trade Credit Policy and Learning in Fuzzy

A Supply Chain Model with Carbon Emissions and Preservation Technology for Deteriorating Items under Trade Credit Policy and Learning in Fuzzy

Economic order quantity model for imperfect quality items with environmental regulations

An Economic Order Quantity (EOQ) Model for Chemotherapy Drugs Using New Patients’ Arrival Rates

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