Discrete Event Logistics Systems (DELS) simulation modeling incorporating two-step Remaining Useful Life (RUL) estimation

Cui, Yiqian; Shi, Junyou; Wang, Zili

doi:10.1016/j.compind.2015.04.003

Cited by 8 publications

(5 citation statements)

References 43 publications

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“…The RUL was integrated into the D-SIMPAIR system to optimize the inventory and movement of spare parts by predicting the system failure date and moving the spare parts to a location where maintenance will be conducted. Based on the same context, Cui et al (Cui, Shi, & Wang, 2015), proposed a modification of the DELS. The approach is based on a two step RUL estimation in which the first estimated RUL is used to define the logistics movements according to the maintenance events activities, while the second estimated RUL is used to calibrate the fault occurrence time.…”

Section: Logistics Planningmentioning

confidence: 99%

Review of Post-Prognostics Decision-Making in Prognostics and Health Management

Bougacha

Varnier

Zerhouni

2021

IJPHM

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Mainly, the prognostics and health management (PHM) process is based on three processes: the data acquisition and health assessment process in which sensors signals are acquired and processed, the diagnostic and prognostic process in which the source of failure is detected and the remaining useful life (RUL) is predicted and finally the decision- making process that refers to the term management in prognostics and health management. This paper reviews in the literature about the different aspects of decision-making in the context of PHM. The selected papers are subject to con- tent assessment and grouped according to the decision type. Additionally, this paper presents a synthesis of the previous works that helps identify new trends and deficiencies in the decision-making process. The synthesis can guide efforts for future work.

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Section: Logistics Planningmentioning

confidence: 99%

Review of Post-Prognostics Decision-Making in Prognostics and Health Management

Bougacha

Varnier

Zerhouni

2021

IJPHM

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“…Thus, the provisions, the orders, and the logistic movements are made based on the monitored condition and the RUL of the system to reduce the costs of storage and the penalties on waiting in case of shortage in raw materials or spare parts. Logistic decisions take into consideration the health condition of the system, the lead time of ordering and the storage levels to optimize the cost (Cui, Shi, & Wang, 2015), (Lin, Basten, Kranenburg, & van Houtum, 2017).…”

Section: Classical Phm and Motivationmentioning

confidence: 99%

Enhancing Decisions in Prognostics and Health Management Framework

Bougacha

Varnier

2021

IJPHM

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Prognostics and health management have become increasingly important in recent years. Many research studies focus on a crucial phase consisting of predicting the remaining useful life of equipment or a component. However, this step is often carried out without taking into account the decisions that will be taken later. This article aims to propose a modification of the existing PHM framework to combine the prognostics and decision-making phases in a closed loop. In this paper, the presented framework is described and some elements for its implementation are proposed. A simplifiedexample is developed to illustrate the presented methodology of post-prognostic decision enhancement.

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“…Cui et al transformed one step of RUL estimate of simulation model in discrete events logistics system into two steps. An instance validated the effectiveness and testified the performance of the two-step RUL estimation which is better than the one-step estimation [9]. Li et al established a nonlinear model for vehicle routing planning problems subject to time windows which considered the influence of road irregularities on fresh fruits and vegetables.…”

Section: Introductionmentioning

confidence: 98%

Simulation Optimization of Discrete Logistics Processes: A Case Study on Logistics of an E-Commerce Enterprise in Shanghai

Tang

2019

Discrete Dynamics in Nature and Society

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With the rapid development of online shopping in recent years, logistics distribution has received much attention from enterprises and online consumers. Logistics distribution involves many factors and complex processes; conventional qualitative methods are unable to provide an effective analysis. Thus, this paper sets a framework to solve the above problem. A case study of an E-commerce enterprise in Shanghai on logistics distribution is proposed to discretize the whole process and minimize the total costs. Then the AnyLogic software is used to simulate and optimize the system from three aspects, including routes selection, warehouses quantity, and warehouses layout. Finally, this paper analyzes the simulation results, which would provide some valuable references for practical logistics.

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Discrete Event Logistics Systems (DELS) simulation modeling incorporating two-step Remaining Useful Life (RUL) estimation

Cited by 8 publications

References 43 publications

Review of Post-Prognostics Decision-Making in Prognostics and Health Management

Review of Post-Prognostics Decision-Making in Prognostics and Health Management

Enhancing Decisions in Prognostics and Health Management Framework

Simulation Optimization of Discrete Logistics Processes: A Case Study on Logistics of an E-Commerce Enterprise in Shanghai

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