VENDOR MANAGED INVENTORY OF A SUPPLY CHAIN UNDER STOCHASTIC DEMANDS

Q: How can I download an article?

To download an article from SID, first log in to the site, search for the article title, and click on the 'Download Article' option.

Q: How can I download an ISI article?

To download an ISI article on SID, enter the keyword or article title in the search bar, view the relevant results, click on the desired article, and select the 'Download Article' option.

Q: How can I access the SID database?

To access the SID database, visit SID.ir, create an account, and log in to access scientific resources.

Q: Is downloading articles from SID free?

Some articles on SID are available for free, while others require payment. Details are specified on the article's page.

POORBAGHERI TAHEREH; AKHAVAN NIAKI SEYED TAGHI

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Journal Paper

Paper Information

Journal: JOURNAL OF OPTIMIZATION IN INDUSTRIAL ENGINEERING (JOURNAL OF INDUSTRIAL ENGINEERING) Year:2015 | Volume:8 | Issue:18 Page(s): 47-59

Download Full-Text

View:

282

Download:

169

Cites:

Information Journal Paper

Title

VENDOR MANAGED INVENTORY OF A SUPPLY CHAIN UNDER STOCHASTIC DEMANDS

Author(s)

POORBAGHERI TAHEREH | AKHAVAN NIAKI SEYED TAGHI | Issue Writer Certificate

Keywords

SUPPLY CHAIN MANAGEMENT

VENDOR MANAGED INVENTORY

PROBABILISTIC DEMAND

GENETIC ALGORITHM

FIREFLY-ALGORITHM

TAGUCHI METHOD

Abstract

In this research, an integrated inventory problem is formulated for a single-vendor multiple-retailer supply chain that works according to the VENDOR MANAGED INVENTORY policy. The model is derived based on the economic order quantity in which shortages with penalty costs at the retailers` level is permitted. As predicting customer demand is the most important problem in inventory systems and there are difficulties to estimate it, a PROBABILISTIC DEMAND is considered to model the problem. In addition, all retailers are assumed to share a unique number of replenishments where their demands during lead-time follow a uniform distribution. Moreover, there is a vendor-related budget constraint dedicated to each retailer. The aim is to determine the near optimal or optimal order quantity of the retailers, the order points, and the number of replenishments so that the total inventory cost of the system is minimized. The proposed model is an integer nonlinear programming problem (NILP); hence, a meta-heuristic namely GENETIC ALGORITHM (GA) is employed to solve it. As there is no benchmark available in the literature to validate the results obtained, another meta-heuristic called firefly algorithm (FA) is used for validation and verification. To achieve better solutions, the parameters of both meta-heuristics are calibrated using the TAGUCHI METHOD. Several numerical examples are solved at the end to demonstrate the applicability of the proposed methodology and to compare the performance of the solution approaches.

Cites

No record.

References

No record.

Cite

APA: Copy

POORBAGHERI, TAHEREH, & AKHAVAN NIAKI, SEYED TAGHI. (2015). VENDOR MANAGED INVENTORY OF A SUPPLY CHAIN UNDER STOCHASTIC DEMANDS. JOURNAL OF OPTIMIZATION IN INDUSTRIAL ENGINEERING (JOURNAL OF INDUSTRIAL ENGINEERING), 8(18), 47-59. SID. https://sid.ir/paper/668518/en

Vancouver: Copy

POORBAGHERI TAHEREH, AKHAVAN NIAKI SEYED TAGHI. VENDOR MANAGED INVENTORY OF A SUPPLY CHAIN UNDER STOCHASTIC DEMANDS. JOURNAL OF OPTIMIZATION IN INDUSTRIAL ENGINEERING (JOURNAL OF INDUSTRIAL ENGINEERING)[Internet]. 2015;8(18):47-59. Available from: https://sid.ir/paper/668518/en

IEEE: Copy

TAHEREH POORBAGHERI, and SEYED TAGHI AKHAVAN NIAKI, “VENDOR MANAGED INVENTORY OF A SUPPLY CHAIN UNDER STOCHASTIC DEMANDS,” JOURNAL OF OPTIMIZATION IN INDUSTRIAL ENGINEERING (JOURNAL OF INDUSTRIAL ENGINEERING), vol. 8, no. 18, pp. 47–59, 2015, [Online]. Available: https://sid.ir/paper/668518/en

Related Journal Papers

No record.

Related Seminar Papers

No record.

Related Plans

No record.

Recommended Workshops