A Mathematical Integrated Model for Shop Scheduling Routing Considering Reliability and Maintenance under Uncertainty Conditions

Authors

    Mohammad Rajabpour Department of Industrial Engineering, Ki.C., Islamic Azad University, Kish, Iran
    Masoomeh Zeinalnezhad * Department of Industrial Engineering, WT.C., Islamic Azad University, Tehran, Iran m.zeinalnezhad@gmail.com
    Vahid Hajipour Department of Industrial Engineering, WT.C., Islamic Azad University, Tehran, Iran

Keywords:

Mathematical model, scheduling, routing, reliability, maintenance and repair, uncertainty

Abstract

This study presents an integrated mathematical model for shop routing and scheduling while considering machine reliability and maintenance under uncertainty conditions. The primary objective of the proposed model is to optimize production time and system costs through effective machine management, activity scheduling, and preventive maintenance planning. To achieve this objective, the mathematical model incorporates a set of decision variables and parameters, including machine-related costs, energy consumption costs, and maintenance and repair costs. Furthermore, the model includes constraints related to activity continuity, precise activity scheduling, compliance with time restrictions, costs associated with machine utilization, and machine maintenance levels. The proposed model is particularly applicable to manufacturing environments that require efficient management of resources and machinery and can assist production managers in reducing operational costs and production lead times. The model can be solved using numerical optimization algorithms, and its results can support optimal decision-making regarding scheduling, routing, and machine maintenance in manufacturing systems.

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Published

2027-11-01

Submitted

2026-02-01

Revised

2026-05-14

Accepted

2026-06-20

Issue

Section

Articles

How to Cite

Rajabpour, M., Zeinalnezhad, M. ., & Hajipour, V. . (2027). A Mathematical Integrated Model for Shop Scheduling Routing Considering Reliability and Maintenance under Uncertainty Conditions. Journal of Resource Management and Decision Engineering, 1-13. https://www.journalrmde.com/index.php/jrmde/article/view/366

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