A modified firefly algorithm for optimizing a multi stage supply chain network with stochastic demand and fuzzy production capacity

Khalifehzadeh, Sasan; Fakhrzad, Mohammad Bagher

doi:10.1016/j.cie.2019.04.048

Cited by 28 publications

(15 citation statements)

References 49 publications

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“…Rahmanzadeh et al (2020) proposed a fuzzy mathematical model to determine the optimal tactics according to SC objectives. Khalifehzadeh and Fakhrzad (2019) presented a mixed integer linear programming problem to describe the object problem for optimizing the total cost of a production-distribution network. Sharahi et al (2018) proposed an equivalent auxiliary crisp model converted from a type-2 fuzzy mixed-integer linear programming problem, which can provide an integrated approach to make optimal decisions subject to operational and tactical constraints.…”

Section: Fuzzy Operations Research Methods In Scmmentioning

confidence: 99%

An Overview of Fuzzy Techniques in Supply Chain Management: Bibliometrics, Methodologies, Applications and Future Directions

Liao

Zavadskas

2021

Technological and Economic Development of Economy

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Every practice in supply chain management (SCM) requires decision making. However, due to the complexity of evaluated objects and the cognitive limitations of individuals, the decision information given by experts is often fuzzy, which may make it difficult to make decisions. In this regard, many scholars applied fuzzy techniques to solve decision making problems in SCM. Although there were review papers about either fuzzy methods or SCM, most of them did not use bibliometrics methods or did not consider fuzzy sets theory-based techniques comprehensively in SCM. In this paper, for the purpose of analyzing the advances of fuzzy techniques in SCM, we review 301 relevant papers from 1998 to 2020. By the analyses in terms of bibliometrics, methodologies and applications, publication trends, popular methods such as fuzzy MCDM methods, and hot applications such as supplier selection, are found. Finally, we propose future directions regarding fuzzy techniques in SCM. It is hoped that this paper would be helpful for scholars and practitioners in the field of fuzzy decision making and SCM.

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Section: Fuzzy Operations Research Methods In Scmmentioning

confidence: 99%

An Overview of Fuzzy Techniques in Supply Chain Management: Bibliometrics, Methodologies, Applications and Future Directions

Liao

Zavadskas

2021

Technological and Economic Development of Economy

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“…The model considers the unit production cost as a function of production rate, manufacturing reliability, and manufacturing yield. Furthermore, a two-echelon supply chain under the influence of variable production rate is investigated in [54]. The continuous review inventory model considers that the production cost per unit product changes with varying production rate for multiple buyers.…”

Section: Smart Production Systemmentioning

confidence: 99%

An Automated Smart EPQ-Based Inventory Model for Technology-Dependent Products under Stochastic Failure and Repair Rate

Asghar

Kim

2020

Symmetry

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With the ever-growing technology development, high-tech products such as mobile phones, computers, electromagnetic devices and smart devices are facing high design and production modification requirements with relatively shorter life cycles. For instance, every forthcoming smart phone goes out of production in a shorter period after its launch, followed by its next generation. The design of high-tech products requires high investments in smart and automated manufacturing technology to ensure higher production efficiency. For high-tech products with short life spans, the manufacturing performance-quality variable is an important design parameter that affects system reliability, production efficiency and manufacturing costs. Major performance-quality factors of a manufacturing system which affect productivity and reliability of the manufacturing process are discussed in this research. The study investigates an integrated smart production maintenance model under stochastic manufacturing reliability for technology dependent demand and variable production rate. The smart unit production cost is a function of manufacturing reliability and controllable production rate, as a manufacturing system can be operated at different production rates within designed limits μ ϵ [ μ m i n , μ m a x ] . Manufacturing reliability is increased through investment in smart manufacturing technology and resources. The integrated smart production maintenance model is formulated under general failure and repair time distributions and the optimal production maintenance policy is investigated under specific failure and repair time distributions. A mathematical model is developed to optimize the manufacturing quality-performance parameter, variable production rate, per unit technology investment and production lot size. The total cost function is optimized through the Khun–Tucker method. The mathematical model is also validated with numerical analysis, comparative study, and sensitivity analysis for model key parameters.

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“…The position of a firefly corresponds to a solution in the solution space. The FA has been widely for with various applications, including optimization of loading pattern for nuclear reactor core [22], capacitated facility location problem [23], dynamic multidimensional knapsack problems [24, job shop scheduling problem [25], mechanical design optimization problems [26] big data optimization [27], project scheduling [28], production-distribution network design [29], capacitated vehicle routing problem [30], computer-aided process planning [31], stock market prediction [32], and feature selection [33] [34], etc. The [35] provides details of FA applications.…”

Section: Introductionmentioning

confidence: 99%

Printed Circuit Board Assembly Planning for Multi-Head Gantry SMT Machine Using Multi-Swarm and Discrete Firefly Algorithm

Hsu

2021

IEEE Access

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A modified firefly algorithm for optimizing a multi stage supply chain network with stochastic demand and fuzzy production capacity

Cited by 28 publications

References 49 publications

An Overview of Fuzzy Techniques in Supply Chain Management: Bibliometrics, Methodologies, Applications and Future Directions

An Overview of Fuzzy Techniques in Supply Chain Management: Bibliometrics, Methodologies, Applications and Future Directions

An Automated Smart EPQ-Based Inventory Model for Technology-Dependent Products under Stochastic Failure and Repair Rate

Printed Circuit Board Assembly Planning for Multi-Head Gantry SMT Machine Using Multi-Swarm and Discrete Firefly Algorithm

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