Learning effect on an optimal policy for mathematical inventory model for decaying items under preservation technology with the environment of COVID-19 pandemic

Kumar, Subhash; Kumar, Ashok; Jain, Madhu

doi:10.26637/mjm0804/0063

Cited by 8 publications

(3 citation statements)

References 28 publications

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“…Chang et al [6] explored a production-inventory model with a multi-stage supply chain that uses preservation technology to prevent deterioration and boost investment. In the context of preservation technology investment, Kumar et al [21] determined the optimal policies for deteriorating artifacts. Saha et al [32] identified the optimum dynamic marketing investment.…”

Section: Literature Reviewmentioning

confidence: 99%

Manufacturing/remanufacturing based supply chain management under advertisements and carbon emissions process

et al. 2022

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One of the most successful ways to get the word out about a product's popularity across all types of customers is through advertising. It has a valuable direct influence on increasing product demand. The supply chain model is developed for manufacturer and retailer, where advertisements are dependent on demand. The advertisement rate has been considered a function that has enhanced at a diminishing rate concerning time, although the growth rate slowed. During the manufacturing cycle, the market's demand is a function of advertisement, and the customer's demand is a linear function of time. The production rate exceeds the demand rate during manufacturing and remanufacturing; shortages are not faced. It involves a manufacturing/remanufacturing process that quickly delivers consumer products and less waste. To keep the environment clean, the cost of carbon emissions is incorporated into the manufacturer's and supplier's holding and degrading costs. The model's primary purpose is to minimize the overall cost of manufacturing and remanufacturing. The overall cost during the manufacturing cycle is higher than that during the remanufacturing cycle. This study confirms that the increasing cost of advertising provides the continuous increasing value of the total cost. A numerical example is provided, graphical representation and sensitivity analysis determine the function's behavior and test the model.

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Section: Literature Reviewmentioning

confidence: 99%

Manufacturing/remanufacturing based supply chain management under advertisements and carbon emissions process

et al. 2022

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“…The consumer demand for the final product showed a linear dependency on the selling price and quality, and the manufacturing procedure was based on the theme of learning. Kumar et al [45] developed a learning effect model for a green environment. Considering a two-level dual-channel supply chain, Batarfi et al [46] examined the impact of learning and forgetting on manufacturing processes.…”

Section: Literature Reviewmentioning

confidence: 99%

Fuzzy reverse logistics inventory model of smart items with two warehouses of a retailer considering carbon emissions

2021

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Running the business smoothly for protecting the environment is a significant challenge, on which industries are trying something to do at their level best. Reverse logistics play an important role in system design by reducing environmental consequences and increasing economic and social impacts. Given the recent fluctuations of the market, the production cost and ordering cost are considered triangular fuzzy numbers in this study. Customers' demand is met at the right time, and there is no shortage of items; thus, attention can be paid to two warehouses of a retailer. The setup costs and deterioration costs of this system are affected by the learning effects, which lead to a decrease in the total cost. Inflation is a significant problem in the market because manufacturing, remanufacturing, and retailers are all affected. This study proposes a reverse logistics system model so that customers can resolve their complaints about defective items and carbon emissions under two warehouses. Numerical results show that the fuzzy model is more economically beneficial than the crisp model, finds that the crisp and fuzzy model saw a difference of 0.34% in total cost. Two numerical examples illustrate this study, and a sensitivity analysis is performed using tables and graphs.

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“…The reduced deterioration rate per unit product is λ(β) (0 < λ(β) < 1), where λ(β) = λ 0 e −ψβ . Here, λ 0 is the deterioration rate without investment in PT, β denotes the PT investment and ψ (ψ > 0) is the sensitive parameter of investment (motivated by Kumar et al [25] and Mashud et al [28]). This PT investment function is compatible with various industries.…”

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Impacts of green and preservation technology investments on a sustainable EPQ model during COVID-19 pandemic

Barman

Pervin²,

Roy

2022

RAIRO-Oper. Res.

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Carbon and Sulfur dioxides emissions are the key issues of global warming that affects on human health. Emissions cap- and -trade policy is a key mechanism implemented in several countries to reduce the emissions. Nowadays, public gathering is restricted due to the pandemic situation caused by COVID-19. As a result, people are facing huge problems in their regular activities and lifestyle. During the lockdown periods, demands for few merchandises decrease and the deterioration rate increases. Moreover, because of the unavailability of raw materials and labours during the lockdown, shortages occur at the manufacturing company. Keeping these problems in mind, a multi-objective sustainable economic production quantity model is proposed with partially back-ordering shortages, in which the effects of sustainability are investigated. To handle the demand fluctuation throughout the current pandemic, emergency level dependent demand rate is assumed. To reduce greenhouse gases emissions and deterioration rate, investments in green technology and preservation technology efforts are used. The objectives of this study are to maximize the manufacturer’s profit and minimize the greenhouse gases emissions for producing green products. The multi-objective model is solved by utilizing the fuzzy goal programming approach. The mathematical model is illustrated by four numerical examples. The main finding of the work is that under both green and preservation technologies investments, a sustainable model with partially back-ordering shortages and lockdown level dependent demand rate decreases justifiable greenhouse gases emissions and increases the product’s greening level. The results indicate that the system profit is increased by 16.1% by investing in both preservation and green technology. Furthermore, a sensitivity analysis is performed along with some managerial insights for practitioners. Finally, the paper is ended with conclusions and future research tips.

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Learning effect on an optimal policy for mathematical inventory model for decaying items under preservation technology with the environment of COVID-19 pandemic

Cited by 8 publications

References 28 publications

Manufacturing/remanufacturing based supply chain management under advertisements and carbon emissions process

Manufacturing/remanufacturing based supply chain management under advertisements and carbon emissions process

Fuzzy reverse logistics inventory model of smart items with two warehouses of a retailer considering carbon emissions

Impacts of green and preservation technology investments on a sustainable EPQ model during COVID-19 pandemic

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