Cross-trained workers scheduling for field service using improved NSGA-II

Xu, Zhitao; Xu, Ming; Zheng, Maokuan; Li, Miao; He, Lina; Song, Wenyan

doi:10.1080/00207543.2014.955923

Cited by 25 publications

(10 citation statements)

References 33 publications

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“…Genetic Algorithm (GA), a meta-heuristic, is used not just for traditional optimisation (linear, convex) problems, but is also effective for solving distinct and nonlinear issues (Mostafaie, Khiyabani, and Navimipour 2020). NSGA-III is a Non-dominated sorting genetic algorithm and is a powerful method for overcoming the complexity of constraints faced in multi-objective optimisation problems (Xu et al 2015). The basic framework of NSGA-III was proposed by Deb and Jain (2014).…”

Section: Vikor and Nsga III Methodsmentioning

confidence: 99%

Impact of financial risk on supply chains: a manufacturer-supplier relational perspective

Ghadge

Jena

Kamble

et al. 2020

International Journal of Production Research

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This study aims to analyse the manufacturer-supplier relational perspective under the influence of exogenous financial risk. Following corporate finance theory, a multi-objective decision model for supplier selection and order allocation is developed to maximise the total profit of the manufacturer, and minimise the implicit equity stake and financial risk faced by selected suppliers. A two-echelon supply chain is explored under the influence of foreign exchange risk, default risk, market risk and price fluctuation risk, and solved using an NSGA-III algorithm. Three case scenarios are analysed to explore the influence of a set of financial risk on the manufacturer-supplier relationship and the behaviour of suppliers concerning risk profile, both in the short and long-term horizon. The results are analysed from both the manufacturer as well as supplier perspective, and the optimal conditions are discussed under the cascading risk circumstances. The study provides multiple insights into the impact of financial risk on supply chain relationship and will be valuable for dealing with similar uncertain economic environment. The research is likely to be of benefit beyond supply chain managers, like investors and financial risk managers in making informed decisions. The need to focus on systemic risk in supply chains is evident from the study.

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Section: Vikor and Nsga III Methodsmentioning

confidence: 99%

Impact of financial risk on supply chains: a manufacturer-supplier relational perspective

Ghadge

Jena

Kamble

et al. 2020

International Journal of Production Research

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“…To solve the problem, they combined the large neighbourhood search algorithm with the mathematical programming method. Xu et al [14] investigated the nondominated sorting genetic algorithm-II (NSGA-II) to the cross-trained workers scheduling problem. e FSSP model considering both the constraint of worker's skills and routing optimization was presented by Jiang and Wang [15].…”

Section: Literature Reviewmentioning

confidence: 99%

Knowledge and Behavior‐Driven Fruit Fly Optimization Algorithm for Field Service Scheduling Problem with Customer Satisfaction

Jiang

Wang

et al. 2021

Complexity

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The field service scheduling problem (FSSP) is the key problem in field services. Field service pays particular attention to customer experience, that is, customer satisfaction. Customer satisfaction described by customer behavior characteristics based on the prospect theory is considered as the primary optimization goal in this paper. The knowledge of the insertion feasibility on the solution is analysed based on the skill constraint and time window. According to the knowledge, an initialization method based on the nearest heuristic algorithm is constructed. Based on the prior knowledge of the FSSP and the endowment of the Fruit Fly Optimization Algorithm, two operators are defined according to the matrix encoding method. Based on these two operators, three search strategies are then proposed, and the smell-based search strategy and vision-based search strategy for the FOA are redesigned. To verify the performance of the algorithms, the proposed operators and strategies are tested and analysed in the well-known benchmark. Through comparison with the state-of-the-art algorithms, the results show that the proposed HFOA is an effective and efficient method to solve the FSSP with customer satisfaction.

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“…23,54,55 In order to lower the size of the workforce, Khalili et al 56 propose a fuzzy queue method to reduce the idle time of the workforce. Considering the cooperation of the cross-trained workers, Xu et al 57 develop 0-1 programming model and the Non-dominated Sorting Genetic Algorithm-II (NSGA-II) to schedule the service engineers. Ertogral and Ö ztu¨rk 58 introduce a mixed integer programming model for production scheduling and workforce capacity planning with the purpose of minimizing the inventory holding and workforce-related cost in airline industry.…”

Section: Psr Managementmentioning

confidence: 99%

Status review and research strategies on product-service supply chain

Elomri

Zhang

et al. 2020

Proceedings of the Institution of Mechanical Engineers, Part B:

Self Cite

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This study draws a holistic view of the supply chain with three service strategies – namely, after-sales service; maintenance, repair and operations; and the product-service system – by analysing over 71 articles in this field. In this investigation, the content analysis is used to scrutinize the research to establish the knowledge, reveal the research opportunities and propose research strategies. The supply chain for product-service system depends more heavily on the implementation of the cooperation, collaboration and integration principles in operation. However, a complete analysis reveals that those crucial principles did not embody in current literature. Current research also failed to discuss the service operation decisions by modelling the intricate relations among them in a broad product-service supply chain context. Thus, the future research directions include developing service demand forecasting models; combining the time-series methods and the causal methods; establishing service resource planning models; addressing the relations between service deliverables, service capacity and the service resource; and strengthening the quantitative evaluation of the product-service supply chain performance with a systemic view. Moreover, by addressing the principles of cooperation, collaboration and integration, the added values of this review are the proposed research strategies for integrated forecasting of product services, integrated product-service resource allocation and scheduling, and systematic performance evaluation of the product-service supply chain. The findings and the proposed research strategies develop an in-depth understanding of product-service supply chain applications and serve as a basis for future research.

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Cross-trained workers scheduling for field service using improved NSGA-II

Cited by 25 publications

References 33 publications

Impact of financial risk on supply chains: a manufacturer-supplier relational perspective

Impact of financial risk on supply chains: a manufacturer-supplier relational perspective

Knowledge and Behavior‐Driven Fruit Fly Optimization Algorithm for Field Service Scheduling Problem with Customer Satisfaction

Status review and research strategies on product-service supply chain

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