A bi-objective mixed-model assembly line sequencing problem considering customer satisfaction and customer buying behaviour

Rabbani, Masoud; Heidari, Razieh; Farrokhi-Asl, Hamed

doi:10.1080/0305215x.2018.1431234

Cited by 19 publications

(11 citation statements)

References 30 publications

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“…Fierce market competition has changed the competition between enterprises from product competition (the original state) to customer resources competition. Rabbani et al (2018) aimed to gain a competitive advantage in the current business environment [22]. Thus, customer focus, researching customers, and exploring how to access customer resources have become indispensable elements of sustainable competitive advantage.…”

Section: Literature Reviewmentioning

confidence: 99%

Analyzing the Relationship between Consumer Satisfaction and Fresh E-Commerce Logistics Service Using Text Mining Techniques

Hong

Zheng

et al. 2019

Sustainability

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The rapid development of the Internet and the transformation of consumption patterns have prompted consumers to purchase fresh products online. For fresh e-commerce enterprises, logistics is an important aspect of customer satisfaction. Therefore, this study focused on online review information and used a convolutional neural network text mining model for its analysis. Logistics service elements concerned with customer satisfaction are convenience, communication, integrity, responsiveness, and reliability. Thereafter, comment information was converted to digital information using sentiment analysis. Finally, a correlation analysis was carried out to compare the significance of various influencing factors. The results confirm that convenience, communication, reliability, and responsiveness had a significant impact on customer satisfaction, whereas integrity had none. Fresh e-commerce logistic services need to improve for the development of the companies.

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Section: Literature Reviewmentioning

confidence: 99%

Analyzing the Relationship between Consumer Satisfaction and Fresh E-Commerce Logistics Service Using Text Mining Techniques

Hong

Zheng

et al. 2019

Sustainability

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“…Also, the branch and bound is used for finding the desired sequence, and the heuristic algorithm is used for large-scale problems. Minimization of total cost of utility work, idle work cost and maximization of customers' satisfaction are used as objectives of model of by Rabbani et al (2018b).…”

Section: Literature Reviewmentioning

confidence: 99%

“…With this method, customers can be prioritized, and according to these priorities, they determine the planning and sequencing of tasks. Rabbani et al (2018b) use RFM and customers' satisfaction and divide orders into two categorized of high priority orders and standard priority orders. Logically after prioritizing, the focus is on customers with high priority because a high percentage of a company's profit depends on them.…”

Section: Literature Reviewmentioning

confidence: 99%

“…This satisfaction depends on the time of delivery of the order to customers. Using fuzzy function, it is possible to show the satisfaction level of the customer according to the delivery time of their orders (Rabbani et al, 2018b).…”

Section: Sequencing Assumptionmentioning

confidence: 99%

“…In this strategy, customers' satisfactions depend on the performance of the order's delivery. MMAL with make-to-order can produce continuously and simultaneously different orders in one assembly line (Rabbani et al, 2018b). MMAL is very implemented in industries.…”

Section: Introductionmentioning

confidence: 99%

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A Developed Framework for Sequencing of Mixed-model Assembly Line with Customer’s Satisfaction and Heterogeneous Operators

Rabbani

Behbahan

Farrokhi-Asl

et al. 2020

BJO&PM

Self Cite

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Goals: We present a multi-objective mathematical model to determine the optimum production sequence of the mixed-model assembly line (MMAL). Maximizing customer satisfaction and minimizing costs are the objectives of the problem. Design / Methodology / Approach: Customers are divided into two clusters of high priority and low priority by k-medoids method. Also, to get closer to the real world, heterogeneous workers are considered. As the actual scale of the problem cannot be solved by an exact method, two metaheuristic algorithms, namely Strength Pareto Evolutionary Algorithm 2 (SPEA2) and Non-Dominated Sorting Genetic Algorithm II (NSGA-II) are proposed to solve the problem and reach approximate and efficient results in large scale. Results: It observes that this model can plan the customers' orders by considering their satisfaction. Also, comparing the results of these algorithms indicates a slight superiority of the SPEA2 method. Limitations of the investigation: This study is mainly limited by clustering criteria. In the future, more criteria can be considered for analyzing customer behavior and expanding customer clusters. Practical implications: This model can help all manufacturers who use MMAL by providing a Pareto front for deciding between costs and customers' satisfaction. Originality / Value: Applying k-medoids to cluster the customers for better orders management and proposing SPEA2 and NSGA-II for solving the problem are the main novelties of this study.

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Using parallel metaheuristics to solve a parallel U-shaped robotic mixed-model assembly line balancing and sequencing problem

Farsi,

Mokhtarzadeh,

Rabbani

et al. 2024

Soft Comput

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A bi-objective mixed-model assembly line sequencing problem considering customer satisfaction and customer buying behaviour

Cited by 19 publications

References 30 publications

Analyzing the Relationship between Consumer Satisfaction and Fresh E-Commerce Logistics Service Using Text Mining Techniques

Analyzing the Relationship between Consumer Satisfaction and Fresh E-Commerce Logistics Service Using Text Mining Techniques

A Developed Framework for Sequencing of Mixed-model Assembly Line with Customer’s Satisfaction and Heterogeneous Operators

Using parallel metaheuristics to solve a parallel U-shaped robotic mixed-model assembly line balancing and sequencing problem

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