1. OSCM Publications
  2. Volume 17, Issue 4, 2024
  3. A Novel Prescriptive Supply Chain Analytics Model for Monitoring the Relationship Between Influential Variables Across the Supply Chain Network

A Novel Prescriptive Supply Chain Analytics Model for Monitoring the Relationship Between Influential Variables Across the Supply Chain Network

Author(s):

  • Mohammad Khajehzadeh (Department of Industrial Engineering, Iran University of Science and Technology, Tehran, Iran)
  • Farhad Pazhuheian (Department of Industrial Engineering, Iran University of Science and Technology, Tehran, Iran)
  • Farima Seifi (Management Department, Anderson School of Management, University of California, Los Angeles, USA)
  • Alireza Ghorbani (Department of Statistics, Shahid Beheshti University, Tehran, Iran)
  • Golshan Madraki (College of Business University of New England, Biddeford, USA)
Volume: 17 Issue: 4 Publication Year: 2024 Page: 267-282 Available Online: 16 December 2024 DOI: 10.31387/oscm0590441
Full PDF
.BIB APA
Abstract:
The goal of supply chain monitoring is to provide an efficient tracking system for ensuring a secure flow of goods and services throughout the supply chain. Supply chain monitoring helps identify and address unexpected events early. There are five main components in supply chain networks including manufacturing, warehousing, procurement, logistic / transportation and demand. Numerous factors in each of the five components of the supply chain have direct impacts on sales and production. This paper presents a comprehensive method to monitor and analyze the impacts of these factors on both sales and production, ultimately aiming to identify areas for cost reduction and improvement. To achieve this goal, the sales and production are modeled and evaluated. Then, products with out-of-control behavior are simultaneously identified. Finally, to optimize out-of-control products, we considered the most influential factors affecting sales and production. The optimal values for out-of-control products are selected, which minimize operating costs while simultaneously maximizing operating profits within the supply chain. A case study in the personal care industry shows that the method increases the operation profit rate for out-of-control products.
Download full PDF 
@article{oscm-2024-23,
  title={A Novel Prescriptive Supply Chain Analytics Model for Monitoring the Relationship Between Influential Variables Across the Supply Chain Network},
  year={2024},
  author={Mohammad Khajehzadeh and Farhad Pazhuheian and Farima Seifi and Alireza Ghorbani and Golshan Madraki},
  journal={Operations and Supply Chain Management: An International Journal},
  volume={17},
  number={4},
  pages={267--282},
  doi={10.31387/oscm0590441}
}
Mohammad Khajehzadeh, Farhad Pazhuheian, Farima Seifi, Alireza Ghorbani, Golshan Madraki (2024). A Novel Prescriptive Supply Chain Analytics Model for Monitoring the Relationship Between Influential Variables Across the Supply Chain Network. Operations and Supply Chain Management: An International Journal, 17(4), 267-282. https://doi.org/10.31387/oscm0590441
Other links