Optimal Strategy of Unreliable Flexible Production System Using Information System

Sadok Rezig (), Sadok Turki (), Ayoub Chakroun and Nidhal Rezg
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Sadok Rezig: UFR Mathématiques, Informatique, Mécanique et Automatique, Département Science pour l’ingénieur, Université de Lorraine, F-57070 Metz, France
Sadok Turki: UFR Mathématiques, Informatique, Mécanique et Automatique, Département Science pour l’ingénieur, Université de Lorraine, F-57070 Metz, France
Ayoub Chakroun: UFR Mathématiques, Informatique, Mécanique et Automatique, Département Science pour l’ingénieur, Université de Lorraine, F-57070 Metz, France
Nidhal Rezg: UFR Mathématiques, Informatique, Mécanique et Automatique, Département Science pour l’ingénieur, Université de Lorraine, F-57070 Metz, France

Logistics, 2024, vol. 8, issue 2, 1-18

Abstract: Background : Optimization approaches and a models can be applied for critical production systems that experience equipment failure, repair delays and product quality control in order to maximize the total profit. We can cite, as an example, flexible manufacturing systems. Methods : Our methodology involves developing a decision model integrated with an information system to coordinate various system operations, ensuring timely response to customer requests. The module of the information system is provided to optimally manage the production flow and parts ordering according to machine availability. The objective is to determine the optimal order thresholds of part batches that maximize the total profit. Results : Numerical results are provided to analyze the influence of system reliability and uncertainty on decision variables, offering insights into the system’s performance and robustness. By using our method, the advancement of the flexible production systems is carried out by addressing key operational challenges and optimizing production processes for enhanced efficiency and profitability. Conclusions : To achieve this, an optimization algorithm is employed to identify optimal solutions that enhance profitability.

Keywords: production planning; carbon regulation; reconditioning; green logistics; optimization (search for similar items in EconPapers)
JEL-codes: L8 L80 L81 L86 L87 L9 L90 L91 L92 L93 L98 L99 M1 M10 M11 M16 M19 R4 R40 R41 R49 (search for similar items in EconPapers)
Date: 2024
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