A System-Approach for Recoverable Spare Parts Management Using the Discrete Weibull Distribution

Patriarca, Riccardo; Hu, Tianya; Costantino, Francesco; Gravio, Giulio Di; Tronci, Massimo

doi:10.3390/su11195180

Cited by 8 publications

(6 citation statements)

References 22 publications

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“…Some of the decision factors introduced in this study can be beneficial in defining a clear boundary between burying/burning and remanufacturing, refurbishing, or repurposing decisions. Besides, the existing analytical tools, more particularly the models based on Multi-Echelon Technique for Recoverable Item Control, like [55], can be revised by including the non-financial aspects introduced in this study to account for their sequential effect on the financial outcome. Given that the introduced factors are both qualitative and quantitative, the presence of uncertainty, and significant interaction between the factors, fuzzy-based approaches are useful complementary tools to improve the utility functions of the existing inventory models.…”

Section: Discussionmentioning

confidence: 99%

Destruction Decisions for Managing Excess Inventory in E-Commerce Logistics

Pourhejazy

2020

Sustainability

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The Internet has brought about new possibilities for innovation and radically changed business activities. Internet shopping is a prime example of increasing popularity, which is exacerbated due to the recent pandemic. It is expected that e-commerce will accommodate more than a quarter of the total retail sales worldwide in the next few years. Given the characteristics of e-commerce, inventory management is of paramount importance for an effective and timely response to the online customers’ demand. Despite its relevance, the issue of warehouse excess inventory is not sufficiently studied in the operations management literature. This study explores the factors, including sustainability and strategic considerations, that influence the inventory destruction decisions as one of the alternatives for managing excess inventory. Applying the Fuzzy Decision-Making Trial and Evaluation Laboratory (DEMATEL) method, the interrelationships between the decision factors are investigated and the decisive considerations are identified. Overall, the outcomes provide insights for the e-commerce practitioners and offer directions for modeling and managing inventory destruction decisions.

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Section: Discussionmentioning

confidence: 99%

Destruction Decisions for Managing Excess Inventory in E-Commerce Logistics

Pourhejazy

2020

Sustainability

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“…The adoptions of the marginal analysis can be also confirmed in the work of Xu et al (2015), who in their METRIC approach relax the hypothesis of an infinite supplier's capacity, rather assuming a prioritized maintenance service. The approach has been also used to optimize the stock level in a METRIC-based model relying on the Discrete Weibull distribution (Patriarca et al, 2019). Lastly, Basten & Van Houtum (2014) in their review about spare parts inventory indicate the METRIC as a dominant technique for rotable spare parts management, and present a greedy algorithm, which is largely based on the traditional marginal analysis.…”

Section: Literature Reviewmentioning

confidence: 99%

An Integer Black-Box Optimization Model for Repairable Spare Parts Management

Bernabei¹,

Costantino

Palagi

et al. 2021

International Journal of Information Systems and Supply Chain Management

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Spare parts management affects significantly costs and service level for supply chains. This paper deals with an inventory management problem for multi-item repairable systems via a systemic perspective based on a new efficient integer black-box optimization model. With respect to the traditionally used marginal allocation that considers items individually, the proposed black-box optimization model is a holistic approach in the fact that it exploits relationships among items. The authors propose a derivative-free algorithm specifically tied to the application which exploits a new selection strategy for choosing entire subsets of items with the aim to get the best expected improvement in the objective function. The approach has been tested on a real case study for optimizing stocks in an airline's inventory network. The case study provides evidence about the good behavior of the exploratory geometry of the proposed approach in finding quickly a feasible and optimal solution for inventory control.

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“…Chin [38] used the Markov chain in MINLP mathematical model for determining optimized long-term policy. Patriarca [39] presented a Multi-Echelon Technique for inventory of Recoverable Item Control (METRIC) to investigate the potential use of a Weibull distribution for modelling items' demand in case of failure. Milewski [40] focused on the economic efficiency of decentralized and centralized inventory strategies of distribution products in terms of both internal efficiency of firms and external costs of logistics processes.…”

Section: Introductionmentioning

confidence: 99%

Using Four Metaheuristic Algorithms to Reduce Supplier Disruption Risk in a Mathematical Inventory Model for Supplying Spare Parts

et al. 2022

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Due to the unexpected breakdowns that can happen in various components of a production system, failure to reach production targets and interruptions in the process of production are not surprising. Since this issue remains for manufactured products, this halting results in the loss of profitability or demand. In this study, to address a number of challenges associated with the management of crucial spare parts inventory, a mathematical model is suggested for the determination of the optimal quantity of orders, in the case of an unpredicted supplier failure. Hence, a production system that has various types of equipment with crucial components is assumed, in which the crucial components are substituted with spare parts in the event of a breakdown. This study’s inventory model was developed for crucial spare parts based on the Markov chain process model for the case of supplier disruption. Moreover, for optimum ordering policies, re-ordering points, and cost values of the system, four metaheuristic algorithms were utilized that include Grey Wolf Optimizer (GWO), Genetic Algorithm (GA), Moth–Flame Optimization (MFO) Algorithm, and Differential Evolution (DE) Algorithm. Based on the results, reliable suppliers cannot meet all of the demands; therefore, we should sometimes count on unreliable suppliers to reduce unmet demand.

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A System-Approach for Recoverable Spare Parts Management Using the Discrete Weibull Distribution

Cited by 8 publications

References 22 publications

Destruction Decisions for Managing Excess Inventory in E-Commerce Logistics

Destruction Decisions for Managing Excess Inventory in E-Commerce Logistics

An Integer Black-Box Optimization Model for Repairable Spare Parts Management

Using Four Metaheuristic Algorithms to Reduce Supplier Disruption Risk in a Mathematical Inventory Model for Supplying Spare Parts

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