Measuring the assembly quality from the operator mistake view: a case study

2009 ◽  
Vol 29 (4) ◽  
pp. 332-340 ◽  
Author(s):  
Qiang Su ◽  
Lei Liu ◽  
Shengjie Lai
Keyword(s):  
Prediction Model ◽  
Assembly Quality ◽  
Content Type ◽  
Standard Time ◽  
Rate Prediction ◽  
Defect Rate ◽  
Proposed Model ◽  
Assembly Defect

PurposeThe purpose of this paper is to focus on the assembly quality of copier products, specifically, concentrating on the prediction of the operator‐induced assembly defect.Design/methodology/approachBased on the Shibata model, the design‐based assembly complexity is redesigned. And the Sony Standard Time is replaced by the Fuji Xerox Standard Time in the calculation of the process‐based assembly complexity. Furthermore, different correlation functions are attempted and comparatively studied in the regression analysis. Thereby, a new defect rate prediction model is proposed and validated with three copier assembly cases.FindingsThe new proposed model is much more accurate and stable in the human‐induced assembly defect prediction in copier production.Practical implicationsThe proposed model can be used to ensure the assembly quality by removing potential defects at the structure and process design stages. Meanwhile, with this model, the interactions between the engineers and designers can be more effective.Originality/valueThis paper presents a novel assembly defect rate prediction model for copier assembly quality management.

scholarly journals Evaluation of a highly refined prediction model in knowledge-based volumetric modulated arc therapy planning for cervical cancer

2021 ◽  
Vol 16 (1) ◽  
Author(s):  
Mingli Wang ◽  
Huikuan Gu ◽  
Jiang Hu ◽  
Jian Liang ◽  
Sisi Xu ◽  
...  
Keyword(s):  
Cervical Cancer ◽  
Prediction Model ◽  
Volumetric Modulated Arc Therapy ◽  
Model Evolution ◽  
Prediction Ability ◽  
Knowledge Based ◽  
Proposed Model ◽  
Arc Therapy ◽  
Knowledge Based Planning

Abstract Background and purpose To explore whether a highly refined dose volume histograms (DVH) prediction model can improve the accuracy and reliability of knowledge-based volumetric modulated arc therapy (VMAT) planning for cervical cancer. Methods and materials The proposed model underwent repeated refining through progressive training until the training samples increased from initial 25 prior plans up to 100 cases. The estimated DVHs derived from the prediction models of different runs of training were compared in 35 new cervical cancer patients to analyze the effect of such an interactive plan and model evolution method. The reliability and efficiency of knowledge-based planning (KBP) using this highly refined model in improving the consistency and quality of the VMAT plans were also evaluated. Results The prediction ability was reinforced with the increased number of refinements in terms of normal tissue sparing. With enhanced prediction accuracy, more than 60% of automatic plan-6 (AP-6) plans (22/35) can be directly approved for clinical treatment without any manual revision. The plan quality scores for clinically approved plans (CPs) and manual plans (MPs) were on average 89.02 ± 4.83 and 86.48 ± 3.92 (p < 0.001). Knowledge-based planning significantly reduced the Dmean and V18 Gy for kidney (L/R), the Dmean, V30 Gy, and V40 Gy for bladder, rectum, and femoral head (L/R). Conclusion The proposed model evolution method provides a practical way for the KBP to enhance its prediction ability with minimal human intervene. This highly refined prediction model can better guide KBP in improving the consistency and quality of the VMAT plans.

A critical approach to trade-based money laundering

2014 ◽  
Vol 17 (2) ◽  
pp. 230-242 ◽  
Author(s):  
Melvin R.J. Soudijn
Keyword(s):  
Money Laundering ◽  
Task Force ◽  
Critical Approach ◽  
Content Type ◽  
Traded Goods ◽  
True Value ◽  
Police Investigations ◽  
Financial Action Task

Purpose – The purpose of this paper is to broaden the discussion on trade-based money laundering (TBML). The literature is too narrowly focused on the misrepresentation of the value, quantity or quality of the traded goods. This focus leads to the analysis of price anomalies as a signal of over- or under-invoicing. However, TBML can also occur without manipulation of these factors. Design/methodology/approach – A review of the literature and case study of police investigations. Findings – Financial action task force (FATF) definitions are seriously flawed. The question of whether detecting TBML on the basis of statistical trade data is effective should be much more open to debate. Police investigations show that goods are shipped at their true value within the context of TBML. Research limitations/implications – Using outliers to identify and act on cases of TBML has often been propagated, but scarcely been used to actually show TBML. Real findings are needed. Practical implications – Goods intended for TBML can also be paid for in cash. These cash payments are often out of character with the normal clientele. This should alert companies and compliance sections of banks alike. Originality/value – The critique on the FATF definition opens the field for a more fitting definition. The description of actual TBML cases makes it possible to better understand this method of money laundering.

A bi-level mathematical model for logistic management considering the evolutionary game with environmental feedbacks

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Peiman Ghasemi ◽  
Fariba Goodarzian ◽  
Angappa Gunasekaran ◽  
Ajith Abraham
Keyword(s):  
Mathematical Model ◽  
Lagrangian Relaxation ◽  
Evolutionary Games ◽  
Relaxation Method ◽  
Objective Functions ◽  
Content Type ◽  
Medical Centers ◽  
Location Routing ◽  
Proposed Model

PurposeThis paper proposed a bi-level mathematical model for location, routing and allocation of medical centers to distribution depots during the COVID-19 pandemic outbreak. The developed model has two players including interdictor (COVID-19) and fortifier (government). Accordingly, the aim of the first player (COVID-19) is to maximize system costs and causing further damage to the system. The goal of the second player (government) is to minimize the costs of location, routing and allocation due to budget limitations.Design/methodology/approachThe approach of evolutionary games with environmental feedbacks was used to develop the proposed model. Moreover, the game continues until the desired demand is satisfied. The Lagrangian relaxation method was applied to solve the proposed model.FindingsEmpirical results illustrate that with increasing demand, the values of the objective functions of the interdictor and fortifier models have increased. Also, with the raising fixed cost of the established depot, the values of the objective functions of the interdictor and fortifier models have raised. In this regard, the number of established depots in the second scenario (COVID-19 wave) is more than the first scenario (normal COVID-19 conditions).Research limitations/implicationsThe results of the current research can be useful for hospitals, governments, Disaster Relief Organization, Red Crescent, the Ministry of Health, etc. One of the limitations of the research is the lack of access to accurate information about transportation costs. Moreover, in this study, only the information of drivers and experts about transportation costs has been considered. In order to implement the presented solution approach for the real case study, high RAM and CPU hardware facilities and software facilities are required, which are the limitations of the proposed paper.Originality/valueThe main contributions of the current research are considering evolutionary games with environmental feedbacks during the COVID-19 pandemic outbreak and location, routing and allocation of the medical centers to the distribution depots during the COVID-19 outbreak. A real case study is illustrated, where the Lagrangian relaxation method is employed to solve the problem.

An M/M/C/K queueing system in an inventory routing problem considering congestion and response time for post-disaster humanitarian relief: a case study

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Mahdieh Masoumi ◽  
Amir Aghsami ◽  
Mohammad Alipour-Vaezi ◽  
Fariborz Jolai ◽  
Behdad Esmailifar
Keyword(s):  
Sensitivity Analyses ◽  
Inventory Routing ◽  
Humanitarian Relief ◽  
Exact Methods ◽  
Routing Problem ◽  
Content Type ◽  
Inventory Routing Problem ◽  
The People ◽  
Proposed Model

PurposeDue to the randomness and unpredictability of many disasters, it is essential to be prepared to face difficult conditions after a disaster to reduce human casualties and meet the needs of the people. After the disaster, one of the most essential measures is to deliver relief supplies to those affected by the disaster. Therefore, this paper aims to assign demand points to the warehouses as well as routing their related relief vehicles after a disaster considering convergence in the border warehouses.Design/methodology/approachThis research proposes a multi-objective, multi-commodity and multi-period queueing-inventory-routing problem in which a queuing system has been applied to reduce the congestion in the borders of the affected zones. To show the validity of the proposed model, a small-size problem has been solved using exact methods. Moreover, to deal with the complexity of the problem, a metaheuristic algorithm has been utilized to solve the large dimensions of the problem. Finally, various sensitivity analyses have been performed to determine the effects of different parameters on the optimal response.FindingsAccording to the results, the proposed model can optimize the objective functions simultaneously, in which decision-makers can determine their priority according to the condition by using the sensitivity analysis results.Originality/valueThe focus of the research is on delivering relief items to the affected people on time and at the lowest cost, in addition to preventing long queues at the entrances to the affected areas.

Classification of halal hotels based on industrial perceived value: a study of Indonesia and Thailand

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Atie Rachmiatie ◽  
Fitri Rahmafitria ◽  
Karim Suryadi ◽  
Ajeng Ramadhita Larasati
Keyword(s):  
Hotel Industry ◽  
Content Type ◽  
Perceived Values ◽  
Physical Attributes ◽  
The Government ◽  
True Values ◽  
Islamic Values

Purpose The research aims to classify halal hotels based on Islamic values as embodied in both physical and non-physical attributes. Design/methodology/approach This study explores the perceived values of business owners of the halal hotels. Findings Perceptions of hotel owners are divided into three types: those who view the value of halal hotel only in terms of branding and attracting consumers; those who consider the ideology behind halal hotels based on strong Islamic values; and those who avoid halal branding but implement Islamic values in their hotels. For the hotel industry, halal certification is not a priority because a minimum effort at implementing halal standards can already attract Muslim customers. This case is especially true for countries where Muslims make up the majority of the population. Research limitations/implications This study was limited to a case study in Bandung and Bangkok as a representative of halal tourism in Asia. Hence, it could be extended by conducting comparative studies with other cities in Association of South East Asian Nation which already declare to develop halal tourism. Practical implications The findings of this research show that there is a large variety of halal hotel products, depending on the Islamic values upheld, which is causing difficulties for the government in creating standards. Then the result can help inform the government in establishing the strategic framework of halal tourism development, more particularly in the formulation of policy for industrial actors. Originality/value The findings contribute to the concept of product-centered business, in which it is generally assumed that industrial actors are frequently focused on the mere label of “halal” and ignore the true values. However, the research shows that some industrial actors put Islamic values first instead of the mere halal label, and another case shows that some of them implement Islamic values in their business but avoid halal branding. This empirical evidence shows that in halal hotels, the concept of product-centered is not always proper. The quality of halal hotel products depends on the Islamic value of the owner, not always influenced by business imperatives.

A multi-attribute approach to select the best method for repairing river bridge columns

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Mitra Salmaninezhad ◽  
S. Mahmood Jazayeri Moghaddas
Keyword(s):  
Evaluation Criteria ◽  
Bridge Columns ◽  
Pier Scour ◽  
Content Type ◽  
Accuracy And Precision ◽  
Proposed Model ◽  
Research Findings ◽  
Multi Attribute Decision Making ◽  
Weighing Method

PurposePier scour is one of the main causes of damage to the columns of the river bridges. It is essential to select the best method among various repair methods based on different evaluation indices. However, there is no procedure for ranking these repair methods based on their attributes. The present study seeks to set an approach for this ranking.Design/methodology/approachIn this paper, a multi-attribute decision-making (MADM) model is presented for ranking the repair techniques, in which alternatives are examined using the most important evaluation criteria. In addition, a combination of entropy and eigenvector methods has been proposed for weighting these attributes. A case study is then used to demonstrate the applicability and the validity of the method.FindingsThe execution of the model using two multi-criteria methods yielded similar results, which confirms its accuracy and precision. Moreover, the research findings showed the consistency of the objective and subjective weighting methods and the conformity of the weights obtained for the attributes from the combination of these methods to the nature of the problem.Originality/valueThe selection of the proper method for repairing the bridge columns plays an essential role in success of the bridge restoration. The proposed model introduces an approach for ranking repair methods and selecting the best one that has not been presented so far. Also, the weighing method for attributes is an innovative method for ranking restoration methods that has been proven in a case study.

Systemic corruption and public procurement in developing countries: are there any solutions?

2018 ◽  
Vol 18 (2) ◽  
pp. 131-147 ◽  
Author(s):  
Sope Williams-Elegbe
Keyword(s):  
Quality Of Life ◽  
Developing Countries ◽  
Design Methodology ◽  
Public Procurement ◽  
Content Type ◽  
Asymmetry Of Information ◽  
Culture Of Silence ◽  
Systemic Corruption

Purpose Corruption affects development and quality of life of citizens in affected countries. The increase in anti-corruption measures globally reflects a consensus that corruption is pervasive and costly. Public procurement is one area in which corruption manifests because of the sums of money involved; the asymmetry of information; and the bureaucratic nature of decision-making, which presents opportunities for abuse. In developing countries, procurement corruption is rife because of institutional weaknesses, lack of enforced accountability mechanisms and culture of silence in relation to public sector malfeasance. Design/methodology/approach This paper examines procurement corruption in countries with systemic corruption, using Nigeria as a case study, to determine how to reduce public procurement corruption. Findings The paper will highlight prevalent corrupt schemes in public procurement in Nigeria, examine the reasons for the failure of state anti-corruption institutions and analyze the kinds of initiatives that reduced procurement corruption and increased accountability in other countries and the utility of adopting such mechanisms in the Nigerian context.

A novel product recommendation model consolidating price, trust and online reviews

Kybernetes ◽  
2019 ◽  
Vol 48 (6) ◽  
pp. 1355-1372 ◽  
Author(s):  
Ying Huang ◽  
Nu-nu Wang ◽  
Hongyu Zhang ◽  
Jianqiang Wang
Keyword(s):  
Search Engines ◽  
Distance Measure ◽  
Fuzzy Theory ◽  
Online Reviews ◽  
Purchasing Decisions ◽  
Neutrosophic Sets ◽  
Content Type ◽  
Product Recommendation ◽  
Proposed Model

Purpose The purpose of this paper is to propose a model for product recommendation to improve the accuracy of recommendation based on the current search engines used in e-commerce platforms like Tmall.com. Design/methodology/approach First, the proposed model comprehensively considers price, trust and online reviews, which all represent critical factors in consumers’ purchasing decisions. Second, the model introduces the quantization methods for these criteria incorporating fuzzy theory. Third, the model uses a distance measure between two single valued neutrosophic sets based on the prioritized average operator to consolidate the influences of positive, neutral and negative comments. Finally, the model uses multi-criteria decision-making methods to integrate the influences of price, trust and online reviews on purchasing decisions to generate recommendations. Findings To demonstrate the feasibility and efficiency of the proposed model, a case study is conducted based on Tmall.com. The results of case study indicate that the recommendations of our model perform better than those of current search engines of Tmall.com. The proposed model can significantly improve the accuracy of product recommendations based on search engines. Originality/value The product recommendation method can meet the critical challenge from the search engines on e-commerce platforms. In addition, the proposed method could be used in practice to develop a new application for e-commerce platforms.

scholarly journals Organising to beat the Trade Union Act (2016) voting thresholds: a case study of organising and tactics from the University and College Union

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
James Richards ◽  
Vaughan Ellis
Keyword(s):  
Trade Union ◽  
Trade Unions ◽  
Best Practice ◽  
Content Type ◽  
Theoretical Contribution ◽  
Proposed Model ◽  
College Union ◽  
The University ◽  
Further Development

PurposeA retrospective action-research case study of one branch of the University and College Union (UCU) is used to show how threshold requirements of the Act can be systematically beaten.Design/methodology/approachThe paper responds to calls for “best practice” on how trade unions may react to member voting threshold requirements of the Trade Union Act 2016 (the Act). A broader aim is to make a theoretical contribution related to trade union organising and tactics in “get the vote out” (GTVO) industrial action organising campaigns.FindingsFindings are presented as a lead organiser's first-hand account of a successful GTVO campaign contextualised in relation to theories of organising. The findings offer “best practice” for union organisers required to beat the Act's voting thresholds and also contribute to theories surrounding trade union organising tactics.Research limitations/implicationsFurther development and adaptation of the proposed model may be required when applied to larger bargaining units and different organising contexts.Practical implicationsThe findings can inform the organising practices/tactics of trade unions in relation to statutory ballots. The findings also allow Human Resource (HR) practitioners to reflect on their approach to dealing with unions capable of mounting successful GTVO campaigns.Social implicationsThe findings have the potential to collectively empower workers, via their trade unions, to defend and further their interests in a post-financial crisis context and in the shadow of the Covid-19 pandemic.Originality/valueThis is the first known empirical account of organising to exceed voting thresholds of the Act, providing practical steps for union organisers in planning for statutory ballots. Further value lies in the paper's use of a novel first-hand account of a GTVO campaign, offering a new and first, theoretical model of organising tactics to beat the Act.

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