An EPQ model with trapezoidal demand under volume flexibility

Dem, Himani; Singh, S.R.; Kumar, Jitendra

doi:10.5267/j.ijiec.2013.09.002

Cited by 6 publications

(2 citation statements)

References 20 publications

(25 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The COVID-19 outbreak caused instability in the demand for products and services, exposing vulnerabilities in the global supply chain and necessitating flexibility in sourcing raw materials and finished goods. Scholars such as Sethi and Sethi (1990), Dem et al (2014), AlDurgam et al (2017, Sarkar et al (2018), andKamna et al (2020) conducted research on flexibility in manufacturing processes, flexible production rates, supply chain coordination, product quality, overall supply chain costs, and sustainable inventory policies in response to changing production rates and energy usage in an imperfect production system. Sarkar and Park (2023) proposed the use of flexible production and remanufacturing to reduce production time and maintain a multistage automated production system.…”

Section: Flexible Production Systemmentioning

confidence: 99%

An energy‐efficient model for PPE waste management in a closed‐loop supply chain

Yadav,

Kumar Mangla,

Priyamvada

et al. 2023

Bus Strat Env

View full text Add to dashboard Cite

The COVID‐19 crisis has significantly increased non‐decomposable personal protective equipment (PPE), such as gloves, masks, and shields. The improper disposal of these items poses a serious environmental threat. The present study explores the potential of recycling PPE to not only enhance the profitability of the supply chain but also address the environmental challenges associated with disposal. Specifically, it focuses on implementing a closed‐loop approach involving the manufacturer, the customer, and the collector. An extensive literature review on inventory models was conducted, resulting in a comprehensive data set. The numerical analysis, conducted using the Generalized Reduced Gradient Solver, validates the findings. The proposed model suggests that investing in a closed‐loop supply chain, employing an energy‐efficient approach, can effectively reduce carbon emissions at every stage of the system. This can be achieved by leveraging intelligent machinery and skilled labor to meet the growing demand for PPE while minimizing energy consumption. Furthermore, this research emphasizes the importance of implementing the reduce, reuse, and recycle (3Rs) phenomenon to manage waste effectively. This study provides valuable insights for businesses aiming to optimize waste management practices and contribute to economic‐environmental‐social sustainability.

show abstract

Section: Flexible Production Systemmentioning

confidence: 99%

An energy‐efficient model for PPE waste management in a closed‐loop supply chain

Yadav,

Kumar Mangla,

Priyamvada

et al. 2023

Bus Strat Env

View full text Add to dashboard Cite

show abstract

“…They checked some fuzzy inventory models considering output and degradation, separating types of inventory models, respectively, into some classifications. Some important mathematical models based on EOQ models were developed (Dem et al, 2019;Dem et al, 2014;Malik et al, 2008;Mathur et al, 2019). Khan et al (2011) researched papers that broadened Salameh and Jaber's inventory model (Salameh and Jaber, 2000) in a bubbling setting.…”

Section: Literature Reviewmentioning

confidence: 99%

A Novel Neuro-Optimization Techniques for Inventory Models in Manufacturing Sectors

Tyagi

Kumar²,

Malik

et al. 2022

JCCE

View full text Add to dashboard Cite

Inventory modeling or policies are the necessity of every business or a new oil for any industry. In other words, inventory control and management are needed by businessmen or entrepreneurs to make effective strategies, i.e., for making their business profitable. It becomes a lot and a lot of vital for enterprises within the real-life things like producing sector like industry, food trade, etc. Inventory issues common in producing, remanufacturing, and lots of helpful applications like pharmaceutical. An associate improvement model for internal control of circulation enterprises was established to minimize the typical total price in the unit time of the inventory system. As we have seen, lot of researchers have made several attempts in the previous decade for improving inventory control/inventory policies, but due to the dynamic nature of human beings, it is difficult to make perfect and unique inventory for all business sectors. So, in this study, we will use collected data (from several research works done by the researchers, questionnaires, interviews) and then will apply an artificial neural network (ANN) concept to provide an optimized solution. Finally, our model shows economical, correct results, which can be additionally helpful for the inventory researchers to seek out the acceptable technique for determining the economic order quantity systems or creating AN assumption for making new inventory policies. Hence, this study provides helpful algorithms, economical inventory models for producing sectors, and future analysis direction toward our planned work.

show abstract

A holistic optimization framework for production, pricing, and preservation of deteriorating products under carbon emission policies

Gautam,

Kamna,

Jaggi

2024

Environ Dev Sustain

View full text Add to dashboard Cite

An EPQ model with trapezoidal demand under volume flexibility

Cited by 6 publications

References 20 publications

An energy‐efficient model for PPE waste management in a closed‐loop supply chain

An energy‐efficient model for PPE waste management in a closed‐loop supply chain

A Novel Neuro-Optimization Techniques for Inventory Models in Manufacturing Sectors

A holistic optimization framework for production, pricing, and preservation of deteriorating products under carbon emission policies

Contact Info

Product

Resources

About