Proposing multi-item replenishment model for an inventory management system of Malaysia’s SMEs

Irfan ur Rahman*, Mohd Rizal Salleh, Effendi Mohamad, Rashid Nawaz, Muhamad Arfauz A Rahman

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

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The present study describes a modified Economic Order Quantity (EOQ) for multi-item replenishment model with the deterministic demand nature of an inventory management. The function is subjected to the available financial and space constraints in the organization. If the constraints are not satisfied under the given conditions, then Lagrange technique is applied to obtain the optimal order quantity of the multi-items. The purpose of this study is to empower the manufacturing sector of Malaysia’s SMEs with the advantages of the inventory model that controls the overproduction and underproduction inventories to meet their customer’s demand on the right time. From this study, 90.9% of the optimum quantities of products had been achieved by using the multi-item inventory replenishment model as compared to the EOQ. This model is able to control the total cost of inventory efficiently for the optimum space availability.

Original languageEnglish
Pages (from-to)395-401
Number of pages7
JournalJordan Journal of Mechanical and Industrial Engineering
Issue number3
Publication statusPublished - 20 Jun 2022

Bibliographical note

Funding Information:
Acknowledgments and thanks to my friends and colleagues for their cooperation in this study. My appreciation especially goes to University Technical Malaysia, Melaka (UTeM) giving me a ground to bless with the knowledge of research and my supervisor for the constructive comments for this paper

Publisher Copyright:
© 2022. Jordan Journal of Mechanical and Industrial Engineering. All rights reserved


  • Constraints
  • Economic order quantity
  • Inventory cost
  • Inventory model
  • Lagrange technique
  • Multi-iteminventory replenishment

ASJC Scopus subject areas

  • Mechanical Engineering
  • Industrial and Manufacturing Engineering


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