CFP last date
20 December 2024
Reseach Article

Article:Production Planning for Perishable Products with Partial Postponement Strategy

by A. Shabrandi, M. Mohammadi
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 31 - Number 5
Year of Publication: 2011
Authors: A. Shabrandi, M. Mohammadi
10.5120/3821-5295

A. Shabrandi, M. Mohammadi . Article:Production Planning for Perishable Products with Partial Postponement Strategy. International Journal of Computer Applications. 31, 5 ( October 2011), 28-37. DOI=10.5120/3821-5295

@article{ 10.5120/3821-5295,
author = { A. Shabrandi, M. Mohammadi },
title = { Article:Production Planning for Perishable Products with Partial Postponement Strategy },
journal = { International Journal of Computer Applications },
issue_date = { October 2011 },
volume = { 31 },
number = { 5 },
month = { October },
year = { 2011 },
issn = { 0975-8887 },
pages = { 28-37 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume31/number5/3821-5295/ },
doi = { 10.5120/3821-5295 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:17:21.639043+05:30
%A A. Shabrandi
%A M. Mohammadi
%T Article:Production Planning for Perishable Products with Partial Postponement Strategy
%J International Journal of Computer Applications
%@ 0975-8887
%V 31
%N 5
%P 28-37
%D 2011
%I Foundation of Computer Science (FCS), NY, USA
Abstract

This work addressed the tactical production planning for perishable products with partial postponement strategy in which the cost is minimized subject to a set of constraints such as labor working time and machine time. For a specific final configuration some portion of demand has less demand fluctuation and we can use make-to-stock strategy to respond demand. But for other portion of demand which has high degree of uncertainty, we use concept of postponement and it will be beneficial. We compute the level of postponement capacity and finished goods inventory by developing a mixed integer nonlinear programming model. We have analyzed the behavior of the model to make managerial insight under different scenarios of fill rates and finished-goods inventory costs. Our finding shows the finished goods inventory and fill rates can decrease the expected total cost and increases postponement capacity.

References
  1. Graman, GA. 2010. A partial-postponement decision cost model. European Journal of Operational Research, 201(1):34-44
  2. Hillier, FS. and Lieberman, GJ. 2001. Introduction to Operations Research, 7th Edition, McGraw-Hill, Singapore.
  3. Zinn, W. and Bowersox, D.J. 1988. Planning physical distribution with the principle of postponement. Journal of Business Logistics, 9(2):117–136.
  4. Iyer, VA, Deshpande, V. Wu, Z. 2003. A postponement model for demand management. Management Science, 49(8):983-1002.
  5. Bish, EK. Lin, KY. Hong, S-J. 2008. Allocation of flexible and indivisible resources with decision postponement and demand learning. European Journal of Operational Research 187:429–44
  6. Al-Salim, B. Choobineh, F. 2009. Redesign of production flow lines to postpone product differentiation International Journal of Production Research 47(20):5563–5590.
  7. Song, M. Kusiak, A. 2010. Mining Pareto-optimal modules for delayed product differentiation. European Journal of Operational Research, 201:123–128.
  8. Anupindi, R. Jiang, L. 2008 Capacity investment under postponement strategies, market competition and demand uncertainty. management science 54(11):1876-1890
  9. Graman GA, Sanders NR (2009) Modelling the tradeoff between postponement capacity and forecast accuracy. Production Planning and Control 20(3):206–215
  10. Bish, EK. Suwandechochai, R. 2010. optimal capacity for substitutable products under operational postponement. European Journal of Operational Research 207: 775–783
  11. Tong, C. 2010. Order postponement in a supply chain in the presence of exponential demand with gamma prior. Operations Research Letters, 38 97103.
  12. Swaminathan, JM. and Tayur, SH. 1998. Managing Broader Product Lines Through Delayed Product Differentiation Using Vanilla Boxes, Management Science, 44(12):S161–S172.
  13. Graman, G.A. and Magazine, M.J. 2002. A numerical analysis of capacitated postponement. Production and Operations Management 11 (3), 340–357.
  14. Chopra, S. and Meindl P. 2003. Safety inventory. In: Supply chain management: Strategy, planning, and operation. 2nd ed. Upper Saddle River, NJ: Pearson Prentice Hall, 340.
  15. Silver, EA. and Minner, S. 2005. A replenishment decision involving partial postponement. OR Spectrum, 27:1–19.
  16. Leung, SC. and Ng, WL. 2007a. A goal programming model for production planning of perishable products with postponement. Computers and Industrial Engineering, 53:531–541.
  17. Leung, SC. Ng, WL. 2007b. A stochastic programming model for production planning of perishable products with postponement. Production Planning and Control, 18(3):190–202.
Index Terms

Computer Science
Information Sciences

Keywords

Production management mass customization partial postponement perishable