Planning Work on Railroad Track Maintenance Based on Dynamic Programming

Ilinykh, Andrey; Bondarev, E.S.

doi:10.1016/j.trpro.2022.01.110

Cited by 1 publication

(1 citation statement)

References 5 publications

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“…All classes of optimization problems related to industrial activities in general and organization-planned operations, including production and maintenance, more particularly, know an extensive application of mathematical programming as a discipline of operational research. Indeed, mathematical programming methods such as linear programming, non-linear programming, integer programming, and dynamic programming are widely used to assist operations management in making decisions relating to assembly line configuration [24]; to support decision-making in optimizing maintenance [25][26][27][28]; in addition to aiding decision-making in optimizing manufacturing planning or even strategic capacity planning in manufacturing [29][30][31][32], transport, and supply chain problems [33,34], control plans in manufacturing [35], safety in manufacturing [36], and many other activities in the industry. Moreover, the recent mathematical programming literature has long recognized the centric role of mathematical programming methods in maximizing production in diverse areas, notably the petroleum industry (e.g., [18], small mechanical-based industry (e.g., [19], and energy (e.g., [20,21].…”

Section: Methodsmentioning

confidence: 99%

Systems Theory and Evidence‐Based Decision‐Making as Keys for Arbitrating between Optimal Production and Efficient Maintenance: A Case Study

Hallioui

Herrou

Santos

et al. 2022

Discrete Dynamics in Nature and Society

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Organizations in the 21st century operate in evolving and highly competitive environments—such environments are catalysts for deviation in organization-planned operations, including production and maintenance. The differences between maintenance and production, in general, are well known, given the several studies found in the literature regarding industrial engineering. However, the differences between maintenance and production are becoming less significant as a result of increased understanding of the systemic approach to organizations where the whole matters more than the sum of the parts. The aim of this study was to maximize the productivity of a manufacturing factory by applying mathematical programming methods while simultaneously considering the requirements of efficient maintenance. A case study is used to show how systems theory can be used as the basis for evidence-based decision-making in a factory manufacturing line in Morocco. Despite the potential for conflict between optimal production objectives and efficient maintenance in high-performance factories, the four-month case application suggests that systems theory is a key for arbitration. Research implications are presented along with future research directions.

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