An integrated inventory model involving discrete setup cost reduction, variable safety factor, selling price dependent demand, and investment

This paper develops a sustainable integrated inventory model for maximizing profit with a controllable lead time, discrete setup cost reduction, and consideration of environmental issues. Contrary to the available literature, this paper considers a discrete setup cost for the vendor, thus making the...

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Published inR.A.I.R.O. Recherche opérationnelle Vol. 53; no. 1; pp. 39 - 57
Main Authors Dey, Bikash Koli, Sarkar, Biswajit, Sarkar, Mitali, Pareek, Sarla
Format Journal Article
LanguageEnglish
Published Paris EDP Sciences 01.01.2019
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Abstract This paper develops a sustainable integrated inventory model for maximizing profit with a controllable lead time, discrete setup cost reduction, and consideration of environmental issues. Contrary to the available literature, this paper considers a discrete setup cost for the vendor, thus making the integrated model sustainable. The customer’s demand is assumed to be selling-price dependent to increase the number of sales, and the lead time demand follows a Poisson distribution. The integrated model is used to optimized the total shipment number, volume of shipments, safety factor, investments, selling-price, and probability of moving between the “in-control” to “out-of-control” states. An algorithm is developed to obtain the numerical results. Numerical examples and sensitivity analyses are given to illustrate the model.
AbstractList This paper develops a sustainable integrated inventory model for maximizing profit with a controllable lead time, discrete setup cost reduction, and consideration of environmental issues. Contrary to the available literature, this paper considers a discrete setup cost for the vendor, thus making the integrated model sustainable. The customer’s demand is assumed to be selling-price dependent to increase the number of sales, and the lead time demand follows a Poisson distribution. The integrated model is used to optimized the total shipment number, volume of shipments, safety factor, investments, selling-price, and probability of moving between the “in-control” to “out-of-control” states. An algorithm is developed to obtain the numerical results. Numerical examples and sensitivity analyses are given to illustrate the model.
This paper develops a sustainable integrated inventory model for maximizing profit with a controllable lead time, discrete setup cost reduction, and consideration of environmental issues. Contrary to the available literature, this paper considers a discrete setup cost for the vendor, thus making the integrated model sustainable. The customer’s demand is assumed to be selling-price dependent to increase the number of sales, and the lead time demand follows a Poisson distribution. The integrated model is used to optimized the total shipment number, volume of shipments, safety factor, investments, selling-price, and probability of moving between the “in-control” to “out-of-control” states. An algorithm is developed to obtain the numerical results. Numerical examples and sensitivity analyses are given to illustrate the model.
Author Dey, Bikash Koli
Sarkar, Mitali
Sarkar, Biswajit
Pareek, Sarla
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  givenname: Biswajit
  surname: Sarkar
  fullname: Sarkar, Biswajit
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  givenname: Sarla
  surname: Pareek
  fullname: Pareek, Sarla
  organization: Department of Mathematics & Statistics, Banasthali Vidyapith, Banasthali, Rajasthan 304022, India
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Snippet This paper develops a sustainable integrated inventory model for maximizing profit with a controllable lead time, discrete setup cost reduction, and...
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StartPage 39
SubjectTerms 90B05
90B06
Algorithms
Cost reduction
Demand
Discrete setup cost reduction
Inventory
Inventory management
Lead time
Mathematical models
Poisson distributed leadtime
Poisson distribution
Production planning
Safety factors
selling-price-dependent demand
Sensitivity analysis
Shipments
shortage
Stability
Statistical analysis
variable safety factor
Title An integrated inventory model involving discrete setup cost reduction, variable safety factor, selling price dependent demand, and investment
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Volume 53
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