Two-Level Supply Chain Inventory Model for Perishable Goods with Fuzzy Lead-Time and Shortages

Mallick, Rabin Kumar; Manna, Amalesh Kumar; Shaikh, Ali Akbar; Mondal, Shyamal Kumar

doi:10.1007/s40819-021-01117-z

Cited by 5 publications

(2 citation statements)

References 42 publications

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“…Interval-valued and fuzzy numbers are the mathematical tools that handle uncertainties. Many inventory and supply chain systems were developed under different uncertain environments Sharma et al [18] and Mallick et al [19] proposed an inventory model by considering the fuzzy lead time. Yadav et al [20] proposed a supply chain by considering cost parameters as fuzzy numbers.…”

Section: Literature Reviewmentioning

confidence: 99%

A Sustainable Green Inventory System with Novel Eco-Friendly Demand Incorporating Partial Backlogging under Fuzziness

Bhavani¹,

Meidutė‐Kavaliauskienė

Mahapatra³

et al. 2022

Sustainability

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Environmentally friendly goods are market-oriented goods that create less environmental damage. Their manufacture is related to a product development process designed to consider the environmental consequences that might develop throughout their life cycle. In reality, the global demand for herbal goods is expanding since herbal products are manufactured from plant extracts such as leaves, roots, flowers, and seeds, among others, and cause less environmental destruction. This study introduces a novel, eco-friendly demand determined by the usage of herbal and chemical substances in products. In this context, companies producing these products are encouraged. Firms are interested in producing eco-friendly products while keeping an eye on carbon emissions. This paper presents a sustainable inventory model of non-instantaneous decaying items that follow this eco-friendly demand under partially backlogged shortages. In this study, emission releases due to inventory setup, degradation, and holding were estimated, as were carbon emissions under cap and tax policies. This approach invests in green and preservation technologies to reduce carbon emissions and deterioration. To address the imprecision of the model’s cost parameters, we converted them to Pythagorean fuzzy numbers. The optimum profit of the inventory model with carbon emissions is estimated by considering the time that the inventory level takes to reach zero and the replenishment time as decision variables. Numerical examples and a sensitivity analysis of significant parameters have been conducted to examine the effect of variation in the optimal inventory policy.

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Section: Literature Reviewmentioning

confidence: 99%

A Sustainable Green Inventory System with Novel Eco-Friendly Demand Incorporating Partial Backlogging under Fuzziness

Bhavani¹,

Meidutė‐Kavaliauskienė

Mahapatra³

et al. 2022

Sustainability

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“…(Shaikh et al 2020) considered price-dependent demand with inflation and reliability in an imperfect production model for deteriorating items under partial trade credit policy. Recently, (Mallick et al 2021) formulated a bi-level supply chain model for perishable goods with complete backlogged shortages under fuzzy lead time. Based on the shown literature, some research works discussed fuzzy costs and fuzzy demand, among others, but up to now, no one has included a fuzzy detective rate and fuzzy time on imperfect production.…”

Section: Introductionmentioning

confidence: 99%

A Fuzzy Imperfect Production Inventory Model Based on Fuzzy Differential and Fuzzy Integral Method

Manna

Cárdenas–Barrón

Dey³

et al. 2022

JRFM

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In the inventory theory, to treat the uncertainty, the fuzzy set concept is used in order to provide a feasible approach to deal with the uncertainty problem. In this research work, a fuzzy economic production quantity model with interactive fuzzy demands is proposed. In a production process, in the beginning, the system is assumed to be in a controlled state in which only perfect items are manufactured. Later, the manufacturing production process shifts to be an out-of-control-state system; producing both perfect and imperfect items simultaneously, this is considered as a fuzzy state. The defective production rate is also taken into account as a fuzzy state. Here, the selection process of produced items is realized during the production period. With the aim of studying the practical feasibility of the fuzzy economic production inventory model along with a sensitivity analysis of some parameters, different numerical examples are illustrated.

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A periodic review inventory system when received items are of imperfect quality under two supply mode

Barman,

Mahata

2024

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Two-Level Supply Chain Inventory Model for Perishable Goods with Fuzzy Lead-Time and Shortages

Cited by 5 publications

References 42 publications

A Sustainable Green Inventory System with Novel Eco-Friendly Demand Incorporating Partial Backlogging under Fuzziness

A Sustainable Green Inventory System with Novel Eco-Friendly Demand Incorporating Partial Backlogging under Fuzziness

A Fuzzy Imperfect Production Inventory Model Based on Fuzzy Differential and Fuzzy Integral Method

A periodic review inventory system when received items are of imperfect quality under two supply mode

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