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1 – 10 of over 16000Buffer operators can be utilized to improve the smooth degree of the raw data sequence, and to increase the simulation accuracy of the model. The purpose of this paper is to…
Abstract
Purpose
Buffer operators can be utilized to improve the smooth degree of the raw data sequence, and to increase the simulation accuracy of the model. The purpose of this paper is to analyze the cause of increase in the simulation accuracy of the buffer operator.
Design/methodology/approach
This paper probed into the modeling mechanism of several typical buffer operators such as the arithmetic buffer operators, the buffer operators with monotonic function and weighted buffer operators. The paper also gives an example of the buffer operator sequence.
Findings
The results indicate that after applying an infinite buffer operator, whether the authors adopt a weakening buffer operator or a strengthen buffer operator, the raw sequence can be changed into a constant sequence. Because the discrete GM(1,1) model can completely simulate constant sequence, the simulation accuracy is 100 percent. Because the discrete GM(1,1) model is the accurate form of the GM(1,1) model, after applying an infinite buffer operator, the GM(1,1) model can have a very high simulation accuracy. The buffer operator model can increase the simulation accuracy of both the GM(1,1) model and the discrete GM(1,1) model.
Originality/value
The paper analyses the cause of increasing simulation accuracy of the buffer operator model. The paper may indicate that possible results can be studied in the future. All the buffer operator models have similar properties. After applying an infinite buffer operator, the raw sequence can be changed into a constant sequence. A fixed-point axiom may be the basic cause.
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Yong Wei, Xin‐hai Kong and Da‐hong Hu
The purpose of this paper is to perfect the axiom systems of buffer operator via adding the axiom of invariable trend.
Abstract
Purpose
The purpose of this paper is to perfect the axiom systems of buffer operator via adding the axiom of invariable trend.
Design/methodology/approach
Based on the three axioms of buffer operator, for any given data sequence of system behavior and any set of data satisfying the axiom of fixed point, it is proved that there always exists a buffer operator satisfying that the set of data is the buffer sequence of the given data sequence, and a specific constructor method of buffer operator is provided. Finally, the axiom of invariable trend is proposed to add in the axiom systems of buffer operator.
Findings
The results are convincing that although the raw sequence suffered from certain disturbance may be enlarged or reduced, the trend is in line with the original law. All predictions must be on the premise of this trend to forecast, or prediction will be considered invalid.
Practical implications
The method exposed in the paper can be used to construct a specific buffer operator between two sequences satisfying the axiom of fixed point.
Originality/value
The paper succeeds in providing a kind of universal constructor method for buffer operator, and adding the axiom of invariable trend to perfect the axiom systems of buffer operator and ensure the consistency of variation trend between the predicted values and the actual values.
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Marc Lambrecht and Alain Segaert
The literature is reviewed on buffer stock allocation strategies inserial production lines. A number of experiments are conducted toanalyse the behaviour of work‐in‐process…
Abstract
The literature is reviewed on buffer stock allocation strategies in serial production lines. A number of experiments are conducted to analyse the behaviour of work‐in‐process inventory given that the objective is to maximise throughput. Both balanced and unbalanced lines are examined. The same analysis will be repeated for assembly type of production lines (merging lines). A key concept in this article is the “long pull” (or constant work‐in‐process inventory) Kanban system.
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Buffers of work throughout a manufacturing facility enhance throughput. They protect a workstation against variations in processing times and against machine breakdowns of…
Abstract
Buffers of work throughout a manufacturing facility enhance throughput. They protect a workstation against variations in processing times and against machine breakdowns of upstream workstations. However, buffer management is still thought to be an open problem: first there is no algebraic way of representing the relationship between buffer size and throughput, and second, the combinatorial nature inherent in the buffer design problem makes it difficult to develop an exact solution. These problems still exist today, as evidenced by the number of research papers that present sophisticated mathematics to solve this complex problem. Refutes all the above points. The buffer management method detailed does not use sophisticated mathematics impenetrable by the average production manager. Presents a heuristically‐based buffer management method effective at protecting throughput. The method will have advantageous effects on the size of buffers and the length of the production lead times, while still providing protection of the throughput rate.
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According to the basic principle of grey system and third axiom buffer operator, aiming at the problem of disturbance, some new weakening buffer operators are established by…
Abstract
Purpose
According to the basic principle of grey system and third axiom buffer operator, aiming at the problem of disturbance, some new weakening buffer operators are established by analytical skills in the process of prediction. The problem of some contradictions between quantitative analysis and qualitative analysis existing in pretreatment for vibration data sequences is resolved effectively. An example shows that the kind of new weakening buffer operators increase the forecast precision of data forecast model remarkably. The aim of this paper is to attempt to resolve the problem of some contradictions between quantitative analysis and qualitative analysis existing in pretreatment for vibration data sequences.
Design/methodology/approach
In view of the problem of some contradictions between quantitative analysis and qualitative analysis existing in pretreatment for vibration data sequences, according to the basic principle of grey system and third axiom buffer operator, some new weakening buffer operators are established by analytical skills. As an example, the kind of new weakening buffer operators can increase the forecast precision of data forecast model remarkably.
Findings
The results show that the new weakening buffer operators can increase the forecast precision of data forecast model remarkably.
Practical implications
The new weakening buffer operators exposed in the paper can be used to resolve the problem of some contradictions between quantitative analysis and qualitative analysis existing in pretreatment for vibration data sequences and increase the forecast precision of data forecast model remarkably.
Originality/value
The paper succeeds in increasing the forecast precision of data forecast model remarkably.
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V Sridharan and R. Lawrence LaForge
Schedule instability is a major problem in companies using materialrequirements planning (MRP) systems. The effectivenesss of using bufferstock to combat nervousness in the master…
Abstract
Schedule instability is a major problem in companies using material requirements planning (MRP) systems. The effectivenesss of using buffer stock to combat nervousness in the master production schedule (MPS) of an MRP system is investigated. An example scenario illustrates the need for caution in using buffer stock for reducing schedule instability. Detailed simulation results are presented which suggest the need for further research to understand the role of buffer stock in achieving stable master production schedules.
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Wen‐zhan Dai, Zi‐heng Wu and Ai‐ping Yang
The purpose of this paper is to solve the problem existing in the forecast of impact disturbance grey system.
Abstract
Purpose
The purpose of this paper is to solve the problem existing in the forecast of impact disturbance grey system.
Design/methodology/approach
Under the axiomatic system of buffer operator in grey system theory, a novel kind of buffer operators with variable weight λ based on the principle of average tempo of time sequence and using new information is proposed. The optimization solution for variable weight λ is obtained by using genetic algorithm. It is proved that the new buffer operators are effective.
Findings
The results show that the new buffer operators accord with the buffer operator's three axioms and the monotonicity non‐variable axiom. It is proved theoretically and in practice that the new buffer operators are more useful than other buffer operators in grey modeling for sequence with impact disturbance.
Practical implications
The novel buffer operators can reduce the randomness of grey sequence distorted by impact factors, and the forecast accuracy of a model which is built through the process with a novel buffer operator is significantly increased.
Originality/value
The paper succeeds in constructing two novel buffer operators with variable weight and the properties of novel operators are studied. The method to solve optimization value of weight is proposed. The method widens the scope of grey model application.
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Philip Beaulieu and Alan Reinstein
Extant theory tends to treat Organizational Culture (OC) and fraud-related values as static, characterizing culture as synonymous with potential ethical values − but devoting less…
Abstract
Extant theory tends to treat Organizational Culture (OC) and fraud-related values as static, characterizing culture as synonymous with potential ethical values − but devoting less attention to how the culture and values arose and where they are headed. Buffer/conduit theory proposes that accountants learn to use a taxonomy containing three dynamic layers: collective fraud orientation, a buffer/conduit layer, and individual fraud orientation. The middle layer contains OC-related internal controls that buffer the orientation layers from spreading fraud-encouraging values, and serve as conduits transmitting fraud-deterring values − or, when controls do not function as intended, transmitting fraud-encouraging values. A factor analysis of 11 indicators of this three-layer taxonomy suggests that older generations of accounting practitioners apply the taxonomy, but millennials do not. Predisposition to commit fraud is especially salient to internally focused millennials, who uniquely perceive recruitment and training as compensating mechanisms and as collective buffers.
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Lisa Hedvall, Helena Forslund and Stig-Arne Mattsson
The purposes of this study were (1) to explore empirical challenges in dimensioning safety buffers and their implications and (2) to organise those challenges into a framework.
Abstract
Purpose
The purposes of this study were (1) to explore empirical challenges in dimensioning safety buffers and their implications and (2) to organise those challenges into a framework.
Design/methodology/approach
In a multiple-case study following an exploratory, qualitative and empirical approach, 20 semi-structured interviews were conducted in six cases. Representatives of all cases subsequently participated in an interactive workshop, after which a questionnaire was used to assess the impact and presence of each challenge. A cross-case analysis was performed to situate empirical findings within the literature.
Findings
Ten challenges were identified in four areas of dimensioning safety buffers: decision management, responsibilities, methods for dimensioning safety buffers and input data. All challenges had both direct and indirect negative implications for dimensioning safety buffers and were synthesised into a framework.
Research limitations/implications
This study complements the literature on dimensioning safety buffers with qualitative insights into challenges in dimensioning safety buffers and implications in practice.
Practical implications
Practitioners can use the framework to understand and overcome challenges in dimensioning safety buffers and their negative implications.
Originality/value
This study responds to the scarcity of qualitative and empirical studies on dimensioning safety buffers and the absence of any overview of the challenges therein.
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Zied Saadaoui and Salma Mokdadi
This paper aims to improve the debate linking the business models of banks to their riskiness by checking if diversification exerts different impacts on the probability of bank…
Abstract
Purpose
This paper aims to improve the debate linking the business models of banks to their riskiness by checking if diversification exerts different impacts on the probability of bank distress depending on the level of capital buffers.
Design/methodology/approach
The paper focuses on a sample of listed bank holding companies observed between 2007:Q3 and 2022:Q4. The authors use three subindexes of bank diversification. The authors estimate a dynamic model specification using a system generalized method of moments with robust standard errors and consistent estimators under heteroskedasticity and autocorrelation within a panel. Sensitivity and robustness checks are performed.
Findings
Asset and income diversification increase the probability of distress in low-capitalized banks during normal periods (excluding periods of crises and high uncertainty). Concerning crisis periods, a marginal increase in asset diversification during the global financial crisis (GFC) and the COVID-19 pandemic crisis induces a more important increase in the probability of failure of well-capitalized banks relative to low-capitalized ones. Contrary to the results obtained for the GFC period, well-capitalized banks were found to pursue more careful funding diversification in reaction to the sudden increase of uncertainty during the Russia–Ukraine war.
Research limitations/implications
Prudential supervision should concentrate on well-capitalized banks to encompass unexpected excessive risk-taking during crisis periods. Regulatory requirements should constrain fragile banks to avoid pursuing assets and income diversification strategies that increase earnings volatility.
Originality/value
The main originality of this paper is to consider the interaction between three different dimensions of bank diversification and capital regulation during stable and unstable periods using the marginal effect analysis. Moreover, this paper uses, initially, the GFC as the reference crisis period to study the impact of capital buffers and diversification interactions on the probability of bank distress. Then, the authors extend the observation period until 2022:Q4 to include two additional major events, namely, the COVID-19 pandemic and the Russia-Ukraine war.
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