• Abbreviated Title: J. Adv. Manag. Sci.
  • Editor-in-Chief: Prof. Rajive Mohan Pant
  • Associate Executive Editor: Ms. Alice Loh
  • E-ISSN: 2810-9740  
  • DOI: 10.18178/joams
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Prof. Rajive Mohan Pant

North Eastern Regional Institute of Science & Technology, India
I am very excited to serve as the first Editor-in-Chief of the Journal of Advanced Management Science (JOAMS) and hope that the publication can enrich the readers’ experience.. ...  [Read More]

JOAMS 2023 Vol.11(4): 174-180
doi: 10.18178/joams.11.4.174-180

Supply Chain Optimization with Two Echelons in a Small Medium Enterprise Printing Company

Betsy J. Cardenas, Shirley N. Gárate, and José Antonio Taquía*
Department of Industrial Engineering, Faculty of Engineering and Architecture, University of Lima, Lima, Peru
*Correspondence: jtaquia@ulima.edu.pe (J.A.T.)

Manuscript received May 12, 2023; revised July 21, 2023; published September 25, 2023; published December 4, 2023.

Abstract—This paper shows an optimized supply chain of a Small-Medium Enterprise (SME) printing company. The methodology used was divided into two phases: phase I: identification of the current scenario and input analysis, and Phase II: implementation of the model with the application of Python, in which results were obtained from the optimization of the production plan, inventory plan, sales, plan and maintenance plan. With the validation of the software, a maximization was obtained with a profit of $598,113 per year. In addition to the modeling, it is possible to find the number of products to be produced in the following months of the year; that is to say, it is possible to foresee the number of inputs necessary to supply the company’s demand.

Keywords—optimization, supply chain, Python, process improvement

Cite: Betsy J. Cardenas, Shirley N. Gárate, and José Antonio Taquía, "Supply Chain Optimization with Two Echelons in a Small Medium Enterprise Printing Company," Journal of Advanced Management Science, Vol. 11, No. 4, pp. 174-180, 2023.

Copyright © 2023 by the authors. This is an open access article distributed under the Creative Commons Attribution License (CC BY-NC-ND 4.0), which permits use, distribution and reproduction in any medium, provided that the article is properly cited, the use is non-commercial and no modifications or adaptations are made.
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