• DocumentCode
    231058
  • Title

    Production-inventory model with preservation technology investment under the effect of learning and shortages

  • Author

    Singh, S.R. ; Rathore, Himanshu

  • Author_Institution
    Dept. of Math., D.N. Coll., Meerut, India
  • fYear
    2014
  • fDate
    8-10 Oct. 2014
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    The social and environmental changes make the preservation technologies very important for those organizations which deal with deteriorating items. To study the effect of preservation technologies we have established a inventory model with preservation technology investment for the deteriorating items. The rate of production is directly related to the demand which is depends on time. The partially backlogged shortages are permitted with exponential backlogging rate under the learning effect on set-up and production costs. Objective of present study is to find optimum value of total cost in two different cases. First one is when model ends with shortages and second one is when model starts with the shortages. At the end of this article a numerical example and sensitivity analysis is discussed. The calculation part is done with the help of mathematical software Mathematica7.
  • Keywords
    costing; inventory management; Mathematica7; deteriorating items; environmental changes; exponential backlogging rate; learning effect; mathematical software; organizations; partially backlogged shortages; preservation technology investment; production costs; production rate; production-inventory model; sensitivity analysis; social changes; total cost; Boundary conditions; Investment; Mathematical model; Numerical models; Production; Sensitivity analysis; Software; Demand; Deterioration; Preservation technology; Production;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Reliability, Infocom Technologies and Optimization (ICRITO) (Trends and Future Directions), 2014 3rd International Conference on
  • Conference_Location
    Noida
  • Print_ISBN
    978-1-4799-6895-4
  • Type

    conf

  • DOI
    10.1109/ICRITO.2014.7014772
  • Filename
    7014772