Multi-warehouse partial backlogging inventory system with inflation for non-instantaneous deteriorating multi-item under imprecise environment

Chakraborty, Dipankar; Jana, Dipak Kumar; Roy, Tapan Kumar

doi:10.1007/s00500-020-04800-3

Cited by 24 publications

(8 citation statements)

References 60 publications

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“…Tiwari et al (2017) studied the impact of price-dependent demand on replenishment strategies with attractive price discounts under the first-in-first-out (FIFO) dispatch policy; seasonal products are generally based on a price-dependent demand function. Chakraborty et al (2020) proposed two static models showing that dynamic pricing can effectively increase overall profit, developing a price-dependent demand-based model with the time value of money. Li et al (2019) considered price-dependent demand to explore the possibility of a preservation technology for blackberries, predicting the deterioration period of the items.…”

Section: To Onwardsmentioning

confidence: 99%

“…(ii) At period [0, x], there is no deterioration; then the product starts deteriorating at a rate of θ, where X is the random deterioration start time (Yang et al, 2019). (iii) During the cycle, there is no repair or replacement of spoiled items (Chakraborty et al, 2020;Patel & Gor, 2019). (iv) Yang et al (2019) and Li et al (2019) developed a mathematical model to implement preservation technologies in inventory management systems.…”

Section: Assumptionsmentioning

confidence: 99%

“…vi. We considered infinite replenishment to reduce complexity (Chakraborty et al, 2020;Gupta et al, 2020). vii.…”

Section: Assumptionsmentioning

confidence: 99%

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Internet of things for perishable inventory management systems: an application and managerial insights for micro, small and medium enterprises

et al. 2021

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Micro, Small, and Medium Enterprises (MSMEs) operating in the food retailing sector encounter two main concerns with respect to their perishable inventory management system, i.e., the product's shelf life and investment in warehouse monitoring systems. New technologies like the Internet of Things (IoT), automated inventory control platforms, and automatic storage and retrieval systems offer effective solutions to these issues. However, MSMEs are reluctant to adopt these technologies due to their prior perception of higher implementation costs and the expected benefits. The present study aims to optimize IoT implementation in MSMEs' inventory management systems and to provide tangible proof of its feasibility and usefulness. In so doing, we propose a mathematical model and analyze the impact of IoT through two case studies. The model provides a cost-benefit analysis of IoT investments that aim to increase products' shelf life. We adopted the fractional program method, solved by particle swarm optimization on MATLAB software. The findings demonstrate the positive correlation between adopting IoT and reduced inventory costs supporting IoT deployment for improved perishability performance in MSMEs. The study offers several insights and practical guidelines in considering IoT deployment in MSMEs. KeywordsMSME • Inventory management • Internet of Things • Perishable • Warehousing B Sachin Kamble

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Section: To Onwardsmentioning

confidence: 99%

Section: Assumptionsmentioning

confidence: 99%

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Internet of things for perishable inventory management systems: an application and managerial insights for micro, small and medium enterprises

et al. 2021

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“…Adaptability is an alluring property of creation frameworks regularly introduced as a panacea to various reasonable issues. Chakraborty et al [41] examined a multi-thing inventory model for non-momentary falling apart under expansion in an unpleasant climate with multiple distribution centre offices. One is a claimed stockroom and the others are leased distribution centers with restricted capacity limits.…”

Section: Research Gap and Contributionmentioning

confidence: 99%

An Investigation of a Supply Chain Model for Co-Ordination of Finished Products and Raw Materials in a Production System under Different Situations

et al. 2021

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In the production system, the production of a perfect item is essential for existing competitive market situations. To produce a perfect finished product, the quality of a raw material is a crucial issue of a production system. This paper has examined this issue with an insightful production-inventory model of the manufacturer of a deteriorating item selling goods to multiple markets with different selling seasons. We have provided an answer strategy to track down the optimal production plan for raw materials and the ideal creation plan for completed items. Transportation cost was incorporated for transporting the raw material. Marketing of the finished product is another crucial factor for selling products and earning revenues. The main objective of the present study is to adopt a production model in inventory for inferring request capacities for multi-item, multi-outlet circumstances. As of late, much accentuation has been given to the consideration of the control and support of creation inventories of disintegrating things. The demand rate is persistent and holding cost is a direct function of time. This paper has followed an analytical approach to diminish the entire inventory cost. Finally, a sensitivity analysis was performed to study the effect of changes of different parameters of the model on the optimal policy. Moreover, in order to approve the determined models, we have clarified mathematical models and examined affectability.

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“…Capacity constraint and time-proportional backlogging rate are the contributions of the work of Dye et al [3]. Chakraborty et al [2] developed an inventory model for deteriorating items; they consider multiwarehouse, partial backlogging, and the effect of inflation to make their work more realistic. It should be noted that despite a long time since the first research in this field, this issue is still considered by many researchers so that many pieces of research are done annually in this field.…”

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confidence: 99%

Optimization of a Multi-Item Inventory model for deteriorating items with capacity constraint using dynamic programming

Karimi¹,

Sadjadi²

2022

JIMO

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<p style='text-indent:20px;'>In recent years, numerous studies have been conducted regarding inventory control of deteriorating items. However, due to the complexity of the solution methods, various real assumptions such as discrete variables and capacity constraints were neglected. In this study, we presented a multi-item inventory model for deteriorating items with limited carrier capacity. The proposed research considered the carrier, which transports the order has limited capacity and the quantity of orders cannot be infinite. Dynamic programming is used for problem optimization. The results show that the proposed solution method can solve the mixed-integer problem, and it can provide the global optimum solution.</p>

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Multi-warehouse partial backlogging inventory system with inflation for non-instantaneous deteriorating multi-item under imprecise environment

Cited by 24 publications

References 60 publications

Internet of things for perishable inventory management systems: an application and managerial insights for micro, small and medium enterprises

Internet of things for perishable inventory management systems: an application and managerial insights for micro, small and medium enterprises

An Investigation of a Supply Chain Model for Co-Ordination of Finished Products and Raw Materials in a Production System under Different Situations

Optimization of a Multi-Item Inventory model for deteriorating items with capacity constraint using dynamic programming

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