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

2021 ◽  
Vol 14 (2) ◽  
pp. 46-68
Author(s):  
Giuseppe Bernabei ◽  
Francesco Costantino ◽  
Laura Palagi ◽  
Riccardo Patriarca ◽  
Francesco Romito
Keyword(s):  
Inventory Management ◽  
Optimization Model ◽  
Spare Parts ◽  
Black Box ◽  
Expected Improvement ◽  
Selection Strategy ◽  
Management Problem ◽  
Repairable Systems ◽  
Spare Parts Management

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.

scholarly journals Modelling Inventory Management System at Distribution Company: Case Study

2010 ◽  
Vol 42 (1) ◽  
pp. 87-93 ◽  
Author(s):  
Oksana Soshko ◽  
Vilmars Vjakse ◽  
Yuri Merkuryev
Keyword(s):  
Inventory Management ◽  
Optimization Model ◽  
Management System ◽  
Current Problem ◽  
Simulation Models ◽  
Uncertain Demand ◽  
Inventory Models ◽  
Inventory Management System ◽  
Distribution Company

Modelling Inventory Management System at Distribution Company: Case Study The paper presents a case study on improving inventory management at the distribution company which operates in Latvia. The case study is focused on application of different modelling approaches in inventory management under uncertain demand, namely inventory models, simulation models and optimization model. The functionality of each model as well as its benefits for the current problem is discussed in the end of the paper.

Dockomo Heavy Machinery Equipment Ltd.: Spare Parts Supply Chain Management

2018 ◽  
pp. 1-20 ◽  
Author(s):  
A Narayanan ◽  
S Seshadri
Keyword(s):  
Supply Chain ◽  
Supply Chain Management ◽  
Inventory Management ◽  
Spare Parts ◽  
Inventory Planning ◽  
Chain Management ◽  
Heavy Machinery ◽  
Demand Patterns ◽  
Forecasting Techniques

This case study is designed to explore the challenges of forecasting and inventory management in spare parts industry. Most items in this industry have lumpy, intermittent, erratic and slow demand patterns. Traditional forecasting techniques cannot be applied to this group. Also most textbook methods on inventory planning, assumes the demand is normally distributed – which is also not the case in spare parts industry. Strategies can be tested for the demand data provide for about 40 items

scholarly journals The Lean Management of Spare Parts in Automotive Manufacturing

2018 ◽  
Vol 214 ◽  
pp. 04005
Author(s):  
Dongdong Guo ◽  
Xingwu Yu
Keyword(s):  
Inventory Management ◽  
Spare Part ◽  
Spare Parts ◽  
Automotive Manufacturing ◽  
Purchasing Cost ◽  
Manufacturing Enterprises ◽  
Spare Parts Management ◽  
Purchase Process ◽  
Spare Part Management ◽  
Maintenance Process

Spare part management is one of the most important work for enterprises, especially for manufacturing enterprises; however, the spare part management problems trouble enterprise operators a lot. In this article, implementation methods of lean spare parts management are illuminated. Spare parts purchase process is declared to reduce the purchasing cost and inventory value. We had established a suitable lean spare parts inventory management model for consumable parts, wear parts, insurance parts and accident parts. In addition, methods of lean spare parts management had been created base on optimized supply chain, ERP and integrating repeated material inventory. We used SAP-iPro system and self-developed system to manage spare parts, so that warehouse management process, spare parts purchase process and maintenance process are standardized. According to theory analysis and practice, the remarkable economic benefit is created for enterprise by the means of optimizing spare parts distribution, standardizing and scientific spare parts management.

Spare parts inventory management: a new hybrid approach

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Leandro Reis Muniz ◽  
Samuel Vieira Conceição ◽  
Lásara Fabrícia Rodrigues ◽  
João Flávio de Freitas Almeida ◽  
Tãssia Bolotari Affonso
Keyword(s):  
Inventory Management ◽  
Hybrid Approach ◽  
Spare Parts ◽  
Mining Company ◽  
Content Type ◽  
Mineral Sector ◽  
Spare Parts Management ◽  
Spare Parts Inventory ◽  
Total Inventory ◽  
Criticality Analysis

PurposeThe purpose of this paper is to present a new hybrid approach based on criticality analysis and optimisation to deal with spare parts inventory management in the initial provisioning phase in the mining industry. Spare parts represent a significant part of mining companies' expenditures, so it is important to develop new approaches to reduce the total inventory value of these items.Design/methodology/approachThis hybrid approach combines qualitative and quantitative methods based on VED (vital, essential and desirable) analysis, analytical hierarchical process (AHP), and e-constraint optimisation method to obtain the spare parts to be stocked. The study was applied to a large mining company. The mineral sector was chosen due to the great importance to the emerging Brazilian economy and the lack of researches in this sector. In addition, the spare parts have a relevant weight on the total inventory cost.FindingsPresent a novel approach combining multi-objective optimisation and multi-criteria evaluation approaches to tackle the inventory decision in spare parts management. This work also defines and classifies relevant criteria for spare parts management in the mineral sector validated by specialists. The proposed approach achieves an average increase of 20.2% in the criticality and 16.6% in the number of items to be stocked compared to the historical data of the surveyed company.Research limitations/implicationsThis paper applies the proposed approach to a mining company in Brazil. Future research in other companies or regions should analyse the adequacy of the criticality criteria, hierarchy and weights adopted in this paper.Practical implicationsThe proposed approach is useful for mining industries that deal with a large variety of resource constraints as it helps in formulating appropriate spare part strategies to rationalise financial resources at both tactical and strategic levels.Originality/valueThe paper presents a new hybrid method combining the AHP a multi-criteria decision making (MCDM) approach coupled with e-constraint optimisation to deal with spare parts inventory management allowing for a better spare parts inventory analysis in the initial provisioning phase and providing managers with a systematic tool to analyse the trade-off between spare parts criticality and total inventory value.

Effectivity of Total Productive Maintenance (TPM) in Large Size Organizations – A Case Study in Shandong Lingong

2014 ◽  
Vol 701-702 ◽  
pp. 1249-1252
Author(s):  
Xiang Jie Lin ◽  
Qiang Lin ◽  
Guang Na Zhang
Keyword(s):  
Staff Training ◽  
Production Efficiency ◽  
Spare Parts ◽  
Production Plan ◽  
Rate Reduction ◽  
Total Productive Maintenance ◽  
Breakdown Time ◽  
Large Size ◽  
Spare Parts Management

Poor information of TPM case study can be found, which is important for TPM implementation. This paper introduced TPM implementation in Shandong Lingong (SDLG) with two years of data collection and practice. The company conducted equipment classification, production plan improvement, failure rate reduction, spare parts management and staff training practices based on MTTR, MTBF and OEE figures. Results showed that MTTR is complicate while MTBF and OEE showed better fits with the company reality of TPM. Thorough the practice and execution of TPM the company get better OEE and less breakdown time, which increase the production efficiency in the end.

scholarly journals Multi-criteria Classification for Spare Parts Management: A Case Study

2017 ◽  
Vol 11 ◽  
pp. 1560-1567 ◽  
Author(s):  
Catarina Teixeira ◽  
Isabel Lopes ◽  
Manuel Figueiredo
Keyword(s):  
Spare Parts ◽  
Spare Parts Management

MRO Spare Parts Management and Inventory Optimization

2022 ◽  
pp. 266-301
Author(s):  
Saeed Ramezani ◽  
Mohamad Reza Hoseinzadeh
Keyword(s):  
Inventory Management ◽  
Supplier Management ◽  
Spare Parts ◽  
Inventory Optimization ◽  
Inventory Management System ◽  
Spare Parts Management ◽  
System Supplier ◽  
Management Policies ◽  
Management Optimization ◽  
Comprehensive Framework

In this chapter, considering the importance of spare parts inventory management in the equipment life cycle, the excellence models in spare parts supply chain management are reviewed, and MRO-MMM framework based on the MMM maintenance excellence model will be presented in eight steps. In this comprehensive framework, all necessary actions are considered in terms of maintenance excellence, improvement, and optimization spare parts management. The steps include compiling strategies, spare parts management policies, and related indicators; determining criticality, classification, and spare parts data management; data and procedure preparation for analysis of inventory management; optimization of inventory management system; supplier management; integrity of automation and information system; continuous improvement; and risk based and smarting inventory management. This framework has been used in various industries and proved that the implementation of the MRO-MMM framework will optimize and significantly improve spare parts management.

Simulations on the Spare Parts Inventory Management of Equipment Maintenance in Manufacturing Enterprise Based on Flexsim

2013 ◽  
Vol 712-715 ◽  
pp. 3181-3186 ◽  
Author(s):  
Xue Sun
Keyword(s):  
Inventory Management ◽  
Original System ◽  
Spare Parts ◽  
Simulation Software ◽  
Management Level ◽  
Abc Classification ◽  
Spare Parts Management ◽  
Spare Parts Inventory ◽  
Before And After ◽  
Optimized Model

In order to promote inventory management level, against the existing problem of spare parts management currently, the spare parts inventory management system of an enterprise engaged in casting and mechanical operations was studied. First, the simulation software Flexsim was used to model the original system. Then for the purpose of optimizing the system, ABC classification was proposed. According to the comparison of simulation results before and after optimization, optimized model can effectively improve the efficiency of inventory management. This can provide the reference of spare parts management for the other companies.

Bayesian degradation modelling for spare parts inventory management

2020 ◽  
Vol 32 (1) ◽  
pp. 31-49 ◽  
Author(s):  
Cesar Ruiz ◽  
Edward Pohl ◽  
Haitao Liao
Keyword(s):  
Inventory Management ◽  
Optimal Solution ◽  
Planning Horizon ◽  
Degradation Process ◽  
Spare Parts ◽  
Optimal Time ◽  
Model Parameters ◽  
Stochastic Dynamic ◽  
Spare Parts Management ◽  
Spare Parts Inventory

Abstract Decision makers in various sectors, such as manufacturing and transportation, strive to minimize downtime costs. Often, brief-planned stoppage times allow for changes in shifts and line configurations and longer periods are scheduled for major repairs. It is quite important to proactively make use of these downtimes to reduce the costs of unexpected downtimes due to failures. Among many aspects, the availability of spare parts significantly affects the operational costs of such systems. Current sensor technologies enable the condition monitoring of critical components and degradation-based spare parts management. This paper focuses on Bayesian degradation modelling for spare parts inventory management for a new system. We propose a stochastic dynamic program to minimize the expected spare parts inventory cost for a fixed planning horizon. A numerical example illustrates the value of Bayesian analysis in this management setting. The proposed methodology finds the optimal time between long stoppages and optimal spare parts order quantity when the prior information about the degradation process is accurate. The methodology can be used to analyse the sensitivity of the optimal solution to changes in the accuracy and bias of the prior distributions of the model parameters, the cost structure and the number of machines in the system.

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