Joint optimization of spare parts inventory and service engineers staffing with full backlogging

Rahimi-Ghahroodi, S.; Hanbali, Ahmad Al; Vliegen, Ingrid; Cohen, Morris A.

doi:10.1016/j.ijpe.2019.02.007

Cited by 24 publications

(28 citation statements)

References 50 publications

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“…In this problem, the outside opportunity or alternative for the local service provider is switching to the full backlogging policy where the failures will be backlogged in the case the spare parts or service engineers are not immediately available. The LSP problem with full backlogging policy is studied in Rahimi-Ghahroodi et al (2018). Without loss of generality, we assume that the emergency supplier reserved profit is 0.…”

Section: Model Descriptionmentioning

confidence: 99%

“…In Rahimi-Ghahroodi et al (2018) and Rahimi-Ghahroodi et al (2017), an integrated spare parts inventory and service engineers planning problem is studied but with different service policies. While in the first paper the backlogging policy for both spare parts and service engineers is assumed, in Rahimi-Ghahroodi et al (2017), a full emergency shipment in the case of spare parts stock out, with a cost C per emergency shipment is considered.…”

Section: B Service Policies Comparisonmentioning

confidence: 99%

“…We compare these two models for different values of the maximum average waiting time (service level) and emergency cost, C, in the case study considered in Rahimi-Ghahroodi et al (2017) and Rahimi-Ghahroodi et al (2018). Figure 9 shows how much (in percentage) the optimal total service cost in partial backlogging policy is higher (positive) or lower (negative) than the optimal total service cost of the full backlogging policy for different emergency shipment costs and maximum total average waiting times.…”

Section: B Service Policies Comparisonmentioning

confidence: 99%

See 2 more Smart Citations

Emergency supply contracts for a service provider with limited local resources

Rahimi-Ghahroodi

Hanbali

Zijm

et al. 2019

Reliability Engineering & System Safety

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We study a problem faced by a service provider, who is responsible for the repair of a group of assets subject to random failures. In case of a failure, both an engineer and a spare part of the right kind need to be available to carry out the repair. A limited number of engineers are employed while also stocks of the various spare parts are limited. In case any resource (engineer or spare part) is not immediately available, the service provider may follow a full backlogging policy. Alternatively, in case of spare parts stock out, he has the option to revert to an emergency supplier with ample capacity of resources. We present an original model to analyze the problem dynamics between this service provider and the emergency supplier. Especially, we determine the optimal emergency shipment cost and the optimal multi-resource level of the service provider. To this end, we propose a computationally efficient algorithm to find the Stackelberg equilibrium. Furthermore, we design revenue and cost-sharing cooperative contracts between these players which always result in coordination. Finally, we examine the risk of uncertainties in these contracts and find the optimal contract parameters by considering the utility functions of the players.

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Section: Model Descriptionmentioning

confidence: 99%

Section: B Service Policies Comparisonmentioning

confidence: 99%

Section: B Service Policies Comparisonmentioning

confidence: 99%

See 1 more Smart Citation

Emergency supply contracts for a service provider with limited local resources

Rahimi-Ghahroodi

Hanbali

Zijm

et al. 2019

Reliability Engineering & System Safety

Self Cite

View full text Add to dashboard Cite

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“…Recent advances in PSS-related research has expanded to other important areas, such as sustainable product service system design [27,28], cloud based product service system design [29,30], product service system implementation for the smart city [31], and incorporation of digital twin concept to the product service systems [32]. Recent works on field repair kit optimization include the joint planning and optimization of spare parts inventory and service engineer staffing [33,34].…”

Section: Literature Reviewmentioning

confidence: 99%

Product Service System Availability Improvement through Field Repair Kit Optimization: A Case Study

Suh

2019

Applied Sciences

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Product service system (PSS) is becoming a popular business model, where companies offer product based service to customers to realize steady recurring revenue. However, to provide PSS-based service to customers in reliable way, PSS need to be supplemented with a field repair kit onsite, in case of parts failure and PSS shutdown. The field repair kit consists of frequently used spare parts in multiple quantities. However, mismatch in spare parts type and quantities in the field repair kit will results in sub-par performance of PSS for both customer and company. In this paper, a case study involving industrial PSS repair kit optimization is presented. In the case study, the field repair kit for complex industrial printing system is cost optimized, while satisfying the system availability requirement, specified by the maintenance contract between the company and the customer. Key analysis steps and results are presented to offer insight into the PSS field repair kit optimization, offering useful references to industrial practitioners.

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“…In order to understand the importance of spare part inventory, authors such as Zhu et al [11] implemented forecasting techniques, whereas Rahimi et al [12] sought to determine the number of technicians necessary to save costs. Additionally, Basten and Ryan [13] compared two inventory management models based on intervals between maintenance sessions.…”

Section: Introductionmentioning

confidence: 99%

A System Dynamics Model to Evaluate the Impact of Production Process Disruption on Order Shipping

et al. 2019

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Multiple studies have analyzed the importance of preventive maintenance. Similarly, they have developed and/or evaluated various spare part inventory management policies that help companies reduce the duration of production disruptions resulting from sudden mechanical failures. All of these studies assess the impact of mechanical failures on local aspects, such as idle times or management policies. However, they do not holistically evaluate how machine failures affect key performance indicators. To address this gap, we proposed a System Dynamics (SD) model to systemically analyze the impact of machine part failures on order shipping, a key performance indicator. Similarly, we assessed the impact of machine part failures on the levels of the company’s finished goods inventory. The research was conducted in a glass bottle manufacturing company. To increase order shipping as a performance indicator, we identified the key variables of the production process and conducted a sensitivity analysis of the variables. Our results indicate that it is possible to reach the company’s 98–100% complete delivery policy.

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Joint optimization of spare parts inventory and service engineers staffing with full backlogging

Cited by 24 publications

References 50 publications

Emergency supply contracts for a service provider with limited local resources

Emergency supply contracts for a service provider with limited local resources

Product Service System Availability Improvement through Field Repair Kit Optimization: A Case Study

A System Dynamics Model to Evaluate the Impact of Production Process Disruption on Order Shipping

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