A PSO-based intelligent service dispatching mechanism for customer expectation management

Hsieh, Yen-Hao; Yuan, Soe‐Tsyr; Kuo, Ruei-Lin

doi:10.1016/j.eswa.2011.03.007

Cited by 17 publications

(10 citation statements)

References 23 publications

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Mentioning

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“…Table 3 presents the prioritisation of production orders at moments T 1 , T 2 , T 3 , T 4 and T 5 , obtained through the three analysed algorithms. The use of the ABC algorithm allowed prioritisation (2,16,9,3), the EDD algorithm -prioritisation (2,13,4,12,16) and the FCFS algorithm -prioritisation (1,2,3,4,5). The execution of orders through those ways of prioritising obviously resulted in obtaining a variety of aggregated income.…”

Section: Research and The Results Of The Computational Experimentsmentioning

confidence: 99%

“…In such market conditions it is necessary to properly plan the sequencing of particular production orders so that their execution could bring maximum economic benefits. The primary task is to satisfy customers' expectations by meeting the deadlines of the orders and at the same time keeping the production costs as low as possible [2][3][4].…”

Section: Introductionmentioning

confidence: 99%

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The Prioritisation of Production Orders Under the Bee Colony Algorithm

Jardzioch

Bulwan

2013

Advances in Manufacturing Science and Technology

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The paper presents the problem of determining the prioritisation of production orders. The proposed criterion function allows a comprehensive evaluation of various ways of prioritising taking into account both the income derived from the execution of production orders and the penalty for any delays which may occur. The criterion function was implemented in an algorithm based on the operation of a colony of bees. The experiments which have been carried out make it possible to evaluate the solutions obtained through the provided algorithm and compare them with the solutions obtained through the typical heuristic rules. The results show that the prioritisation obtained through the algorithm is characterized by the highest qualities of the criterion function and is definitely superior to that obtained through the simple heuristic rules.

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Section: Research and The Results Of The Computational Experimentsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

The Prioritisation of Production Orders Under the Bee Colony Algorithm

Jardzioch

Bulwan

2013

Advances in Manufacturing Science and Technology

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“…at., 2014). Therefore, to realize customers' satisfaction, their expectation must be managed effectively and efficiently (Kurtz & Clow, 1992, Hsieh et. al., 2011, Coye, 2004, Pitt & Jeantrout, 1994.…”

Section: Commuters' Expectationmentioning

confidence: 99%

When Expectation Meets Satisfaction: Examining Users and Non-users Perceived Expectations towards Public Bus Services

Tetteh¹,

Teye²,

Tekyi-Arhin³

et al. 2018

ijtte

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Studies on public mass transportation has gained attention over the years. Even though as part of the success of achieving low-carbon goal and reduction in traffic congestion has been attributed to promoting public buses usage, transport planners are yet to achieve this goal by meeting the expectations of users and non-users of public bus services to boost patronage. This study examines some elements of public buses attractiveness. The current study is one of the first to empirically examine and test commuters' expectations towards public bus services in China. The research findings show that among the expectations of users and non-users of public bus services are provision of storage space in public buses, availability of bus card recharge machines at various bus stops, improvement of entry and exit systems in public buses, availability of sufficient charging systems in public buses and provision of free Wi-Fi in the public buses. Also, the study found that, commuters prefer to pay transport fare directly with WeChat and Alipay applications rather than other applications.

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“…User information: this information includes both implicit and explicit information that can be generated by analysing and mining user history information, current user information, customer expectation, user satisfaction and preference, and so on [4].…”

Section: State Of the Artmentioning

confidence: 99%

“…A user-centric service discovery method was proposed for personalized services based on first-hand experience from a European Union-sponsored research project OPUCE [3]. A personalized service ontology-based intelligent service dispatching mechanism was presented to manage customer expectations and behaviours, as well as to improve customer experiences and increase satisfaction in a high performance service ecosystem [4]. For pervasive environments, a proactive service discovery approach based on the essential aspects of service discovery, which are user context and user preference was also proposed in [5].…”

Section: Introductionmentioning

confidence: 99%

A Semantic-Based Service Discovery Framework for Collaborative Environments

Xu¹,

Raahemi²

2016

Int. j. simul. model.

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In recent years, service-oriented and ubiquitous technologies have experienced impressive development. As these services grow rapidly both in scale and type, effective and accurate service discovery methods play an increasingly important role in the search and selection of services that match consumer requirements and preferences. In order to discover the optimum service and enhance the effectiveness of discovered results, a semantic-based service discovery framework, consisting of user model, context model, service model and a service discovery process, was presented in this study. Then the personalized service ontology was introduced to adjust the service search range adaptively on the basis of the service ontology structure and user information. Furthermore, a semantic-based service discovery method was designed in the proposed framework, which enabled names, attributes and relations of services to be more accurately matched and mapped with user preferences. Finally, to evaluate the effectiveness and accuracy of this method, the simulation analysis was conducted based on service ontology, in which information on 102 separate services and 10 scenarios were extracted from actual data. The simulation results show that compared with the keywords-based method, the proposed semantic-based method shows an increase in recall rate, precision and F-measure. The simulation results also reveal that the proposed method improves service discovery efficiency and performs well in accuracy. Therefore, collaborative environments considered in service discovery can provide useful and effective guidance to study the service recommendation.

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A PSO-based intelligent service dispatching mechanism for customer expectation management

Cited by 17 publications

References 23 publications

The Prioritisation of Production Orders Under the Bee Colony Algorithm

The Prioritisation of Production Orders Under the Bee Colony Algorithm

When Expectation Meets Satisfaction: Examining Users and Non-users Perceived Expectations towards Public Bus Services

A Semantic-Based Service Discovery Framework for Collaborative Environments

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