An application of preservation technology in inventory control system with price dependent demand and partial backlogging

Das, Subhash Chandra; Zidan, Ahmed M.; Manna, Amalesh Kumar; Shaikh, Ali Akbar; Bhunia, Asoke Kumar

doi:10.1016/j.aej.2020.03.006

Cited by 82 publications

(11 citation statements)

References 35 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…stock and selling price. Das et al (2020) created an inventory model for non-instantaneous depreciating goods, where the selling price influenced the demand. To address highly non-linear optimization issue, quantum-behaved PSO (QPSO) variations can be utilized.…”

Section: Sc Inventory Models With Price and Stock-dependent Demandmentioning

confidence: 99%

“…Duffuaa and Khan (2005) presented an inspection plan for the items for the quality control that addressed various inspection error (IE) types, performance measurements, and the financial impact of the various IE. It is observed that deterioration affects the shelf life of products, business profits, the environment, consumer satisfaction, and especially the cost of items; therefore, we must minimize this loss by using preservation technology (Das et al, 2020) and considering factors how this deterioration behaves.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

ANFIS and metaheuristic optimization for green supply chain with inspection and rework

Sharma,

Jain,

Sharma

2024

Preprint

View full text Add to dashboard Cite

The focus of present article is to investigate a supply chain inventory model along with inspection and stock dependent demand with use of green technology to reduce carbon emissions. Products that are decaying, or those that change over time, have a high sensitivity to the environment in terms of temperature, carbon emission, humidity, waste disposal, etc. This study develops a profit maximization model in the presence of deterioration, preservation, imperfect production, inspection error, rework, stock and price-dependent demand. The three carbon emission strategies are proposed to reduce the expenses in different carbon emissions scenarios. The suggested approach may be used to determine the optimal production period, preservation investment, and level of green investment. The solution of the non-linear constraint optimization is provided by using a penalty method in metaheuristic approaches. In order to conduct a sensitivity analysis for the essential model parameters, a numerical example is presented. The soft computing results produced by DE and PSO are compared with the results obtained by Adaptive Neuro-Fuzzy Inference System (ANFIS) technique.

show abstract

Section: Sc Inventory Models With Price and Stock-dependent Demandmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

ANFIS and metaheuristic optimization for green supply chain with inspection and rework

Sharma,

Jain,

Sharma

2024

Preprint

View full text Add to dashboard Cite

show abstract

“…Numerous researchers applied the notion of preservation technology invest on retailing strategy to mitigate deterioration of inventory. We refer Zhang et al [46], Mishra et al [47], Shaikh et al [48], Li et al [49], Das et al [50], Ullah et al [51] etc. for comprehensive review.…”

Section: Preservation Technology Investmentmentioning

confidence: 99%

A sustainable production inventory model for two deteriorating complementary products under preservation technology and carbon cap regulation

Haque,

Pervin,

Mondal

2024

Preprint

View full text Add to dashboard Cite

Complementary items are very important for any business organization because it can increase the sells as well as profit of the company. Bundle item together can attract the customers. So, a sustainable production inventory system for two deteriorating complementary items is designed for optimal lot sizing and optimal number of deliveries for both decentralised and centralised supply chain coordination. To protect items from deterioration, both the supply chain members applied the technology for preservation. Carbon (mainly carbon dioxide) emits from various inventory operations such as production, setting up, holding. In this production supply chain, carbon cap-and-trade policy is used to lessen that emission. Due to market demand fluctuation, retailer may face shortages and based on these, two models for the retailer are designed for zero ending case and shortage case. Consumer waiting time dependent partially backlogging shortage are applied to the cover the shortage for the case of the retailer. Here, the manufacturer generates the entire production batch in a single operation but distributes it to the retailer in multiple shipments of fixed quantities at constant time intervals. The effect of decision variables on profit function for both centralized and decentralized system are derived. Finally, numerical explanations are illustrated to find the impact of carbon emission in different pricing systems. It is concluded from the numerical results that the profit function is totally dependent on degree of complementarity of the product. Sensitivity analysis is performed to find the stability of the proposed model.

show abstract

“…The present study attempts to make an innovative addition to the existing literature by addressing the following research gaps. The findings would help academicians and practitioners to handle environmental issues.Numerous inventory models have been developed by various authors, taking into account price-sensitive and stock-sensitive demand (Pervin et al ., 2020), trade credit assumptions (Mishra et al ., 2018) and different backlogging rates (Das et al ., 2020) in an inventory system with preservation technology. Furthermore, the cost of preservation technology per unit time appears to be impractical for all deteriorating products, as the methods for preserving different items vary; for instance, some chemicals or food items require special packaging to reduce the rate of deterioration, while other items require specific machinery for receiving and storing items in a specific environment.…”

Section: Literature Reviewmentioning

confidence: 99%

Sustainability enablers with price-based preservation technology and carbon reduction investment in an inventory system to regulate emissions

Yadav,

Borkar,

Khanna

2023

MEQ

View full text Add to dashboard Cite

PurposeWith the pressing need for environmental conservation, regulatory authorities are actively looking for measures to prevent global warming. In the proposed inventory model for deteriorating items, demand is dependent on the selling price and green technology investment (or carbon reduction investment) for the green product (GP), as well as an investment in price-based preservation technology to slow down the pace of deterioration. Furthermore, emission reduction measures are put in place to reduce carbon emissions (CEs).Design/methodology/approachThe current study executed a thorough literature review to determine how to improve supply chain management performance. Furthermore, assumptions are made to fill research gaps, and a mathematical model is created to address the problem mentioned above. To collect the data, the available inventory literature was reviewed. Additionally, numerical illustrations and sensitivity analyses are presented to emphasize the model's robustness.FindingsThe research indicates that it is more prudent to invest in preservation technology based on its selling price in order to control the rate of deterioration. In addition, the proposed model facilitates the management of deteriorated waste through salvage trading and emission reduction investment. The findings validate sustainable practices with a 20.86% increase in profit and a 21.4% decrease in CEs, thereby signifying environmental and economic benefits.Originality/valueThe proposed model enhances understanding of the impact of investments in price-based preservation technology and carbon reduction efforts on consumer perceptions of their intention to purchase GPs. Moreover, the study provides valuable insights by identifying important recommendations for policymakers regarding areas that require further investigation. This guideline can help identify both current and unexplored gaps, enabling researchers to direct future research efforts toward producing new products.

show abstract

An application of preservation technology in inventory control system with price dependent demand and partial backlogging

Cited by 82 publications

References 35 publications

ANFIS and metaheuristic optimization for green supply chain with inspection and rework

ANFIS and metaheuristic optimization for green supply chain with inspection and rework

A sustainable production inventory model for two deteriorating complementary products under preservation technology and carbon cap regulation

Sustainability enablers with price-based preservation technology and carbon reduction investment in an inventory system to regulate emissions

Contact Info

Product

Resources

About