Managing Uncertainty in Production Planning for Fast-Moving Consumer Goods: A Linear Programming and Monte Carlo Simulation Framework-Reference-Cited by-同舟云学术

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Managing Uncertainty in Production Planning for Fast-Moving Consumer Goods: A Linear Programming and Monte Carlo Simulation Framework

Published:2023-04-05 Issue: Volume: Page:
ISSN:
Container-title:2023 International Conference on Science, Engineering and Business for Sustainable Development Goals (SEB-SDG)
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Author:

Olanrele Oladeji Oluniyi¹,Ismaila Salami Olasunkanmi²,Adeaga Oyetunde Adeoye³,Adeyemi Oluseyi Afolabi⁴,Akintaro Akinwale Stephen⁵

Affiliation:

1. First Technical University,Department of Computer and Industrial & Production Engineering,Ibadan,Nigeria

2. Federal University of Agriculture,Department of Mechanical Engineering,Abeokuta,Nigeria

3. First Technical University,Department of Mechanical and Mechatronics Engineering,Ibadan,Nigeria

4. School of Physics, Engineering and Computer Science, University of Hertfordshire,Hertfordshire,United Kingdom

5. University of Ibadan,Department of Mechanical Engineering,Ibadan,Nigeria

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10124379/10124380/10124567.pdf?arnumber=10124567

Reference19 articles.

1. Bayesian approach to hazard rate models for early detection of warranty and reliability problems using upstream supply chain information

2. Production planning for perishable products: A literature review;chakraborty;International Journal of Engineering Research and Applications,2016

3. Product Mix Optimization Based on Monte Carlo Simulation: A Case Study

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