A multiphase acceptance sampling model by attributes to investigate the production interruptions in batch production within tobacco industry

PurposeThis paper aims to create a new decision-making procedure that uses “Lot-by-Lot Acceptance Sampling Plan by Attributes” methodology in the production processes when any production interruption is observed in tobacco industry, which is a significant example of batch production.Design/methodology/approachBased on the fish bone diagram, the reasons of the production interruptions are categorized, then Lot-by-Lot Acceptance Sampling Plan by Attributes is studied to overcome the reasons of the production interruptions. Furthermore, managerial aspects of decision making are not ignored and hence, acceptance sampling models are determined by an Analytical Hierarchy Process (AHP) among the alternative acceptance sampling models.FindingsA three-phased acceptance sampling model is generated for determination of the reasons of production interruptions. Hence, the necessary actions are provided according to the results of the proposed acceptance sampling model. Initially, 729 alternative acceptance sampling models are found and 38 of them are chosen by relaxation. Then, five acceptance sampling models are determined by AHP.Practical implicationsThe current experience dependent decision mechanism is suggested to be replaced by the proposed acceptance sampling model which is based on both statistical and managerial decision-making procedure.Originality/valueAcceptance sampling plans are considered as a decision-making procedure for various cases in production processes. However, to the best of our knowledge Lot-by-Lot Acceptance Sampling Plan by Attributes has not been considered as a decision-making procedure for batch production when any production interruption is investigated.

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Group acceptance sampling plan for resubmitted lots based on life tests for odds exponential log logistic distribution

International Journal of Quality & Reliability Management ◽

10.1108/ijqrm-01-2016-0013 ◽

2017 ◽

Vol 34 (8) ◽

pp. 1343-1351 ◽

Cited By ~ 2

Author(s):

Rosaiah K. ◽

Srinivasa Rao Gadde ◽

Kalyani K. ◽

Sivakumar D.C.U.

Keyword(s):

Group Size ◽

Sampling Plan ◽

Logistic Distribution ◽

Acceptance Sampling ◽

Consumer’S Risk ◽

Content Type ◽

Acceptance Sampling Plan ◽

Minimum Group ◽

Termination Time ◽

Group Acceptance

Purpose The purpose of this paper is to develop a group acceptance sampling plan (GASP) for a resubmitted lot when the lifetime of a product follows odds exponential log logistic distribution introduced by Rao and Rao (2014). The parameters of the proposed plan such as minimum group size and acceptance number are determined for a pre-specified consumer’s risk, number of testers and the test termination time. The authors compare the proposed plan with the ordinary GASP, and the results are illustrated with live data example. Design/methodology/approach The parameters of the proposed plan such as minimum group size and acceptance number are determined for a pre-specified consumer’s risk, number of testers and the test termination time. Findings The authors determined the group size and acceptance number. Research limitations/implications No specific limitations. Practical implications This methodology can be applicable in industry to study quality control. Social implications This methodology can be applicable in health study. Originality/value The parameters of the proposed plan such as minimum group size and acceptance number are determined for a pre-specified consumer’s risk, number of testers and the test termination time.

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The economic design of variable acceptance sampling plan with rectifying inspection

Kybernetes ◽

10.1108/k-05-2013-0091 ◽

2015 ◽

Vol 44 (3) ◽

pp. 440-450 ◽

Cited By ~ 1

Author(s):

Ching-Ho Yen ◽

Heng Ma ◽

Chi-Huang Yeh ◽

Chia-Hao Chang

Keyword(s):

Sampling Plan ◽

Acceptance Sampling ◽

Total Quality ◽

Quality Cost ◽

Content Type ◽

Acceptance Sampling Plan ◽

Variable Sampling ◽

Capability Indices ◽

Sampling Cost ◽

The One

Purpose – The purpose of this paper is to develop an economic model, which could determine the acceptance sampling plan that minimizes the quality cost for batch manufacturing. Design/methodology/approach – The authors propose a variable sampling plan based on one-sided capability indices for dealing with the quality cost requirement. Findings – The total quality cost is much more sensitive to process capability indices and inspected cost than internal and external failure costs. Research limitations/implications – The experimental data were randomly generated instead of real world ones. Practical implications – The proposed model is specifically designed for manufacturing industries with high sampling cost. Originality/value – The one-sided capability indices were utilized for the first time to be suitable for the purpose.

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Development of Reliability Acceptance Sampling Plan for the Case where the Degradation Quantity of the Performance Characteristic Follows Weibull Distribution based on the Accelerated Degradation Test

Journal of Applied Reliability ◽

10.33162/jar.2018.06.18.2.122 ◽

2018 ◽

Vol 18 (2) ◽

pp. 122-129

Author(s):

Heonsang Lim ◽

Jaehun Park ◽

Si-Il Sung

Keyword(s):

Weibull Distribution ◽

Performance Characteristic ◽

Sampling Plan ◽

Acceptance Sampling ◽

Accelerated Degradation ◽

Acceptance Sampling Plan ◽

Degradation Test ◽

Accelerated Degradation Test

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A new acceptance sampling plan using Bayesian approach in the presence of inspection errors

Transactions of the Institute of Measurement and Control ◽

10.1177/0142331214555395 ◽

2014 ◽

Vol 37 (9) ◽

pp. 1060-1073 ◽

Cited By ~ 7

Author(s):

MS Fallahnezhad ◽

A Yousefi Babadi

Keyword(s):

Bayesian Approach ◽

Sampling Plan ◽

Acceptance Sampling ◽

Inspection Errors ◽

Acceptance Sampling Plan

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Jumping to conclusions – an analysis of the NBA Draft Combine athleticism data and its influence on managerial decision-making

Sport Business and Management An International Journal ◽

10.1108/sbm-11-2020-0117 ◽

2021 ◽

Vol ahead-of-print (ahead-of-print) ◽

Author(s):

Tobias Berger ◽

Frank Daumann

Keyword(s):

Decision Making ◽

Design Methodology ◽

Predictive Power ◽

Principal Component ◽

Decision Makers ◽

Decision Quality ◽

Managerial Behavior ◽

Managerial Decision ◽

Content Type ◽

Selection Behavior

PurposeThe NBA Draft policy pursues the goal to provide the weakest teams with the most talented young players to close the gap to the superior competition. But it hinges on appropriate talent evaluation skills of the respective organizations. Research suggests the policy might be valid but to date unable to produce its intended results due to the “human judgement-factor”. This paper investigates specific managerial selection-behavior-influencing information to examine why decision-makers seem to fail to constantly seize the opportunities the draft presents them with.Design/methodology/approachAthleticism data produced within the NBA Draft Combine setting is strongly considered in the player evaluations and consequently informs the draft decisions of NBA managers. Curiously, research has failed to find much predictive power within the players pre-draft combine results for their post-draft performance. This paper investigates this clear disconnect, by examining the pre- and post-draft data from 2000 to 2019 using principal component and regression analysis.FindingsEvidence for an athletic-induced decision-quality-lowering bias within the NBA Draft process was found. The analysis proves that players with better NBA Draft Combine results tend to get drafted earlier. Controlling for position, age and pre-draft performance there seems to be no proper justification based on post-draft performance for this managerial behavior. This produces systematic errors within the structure of the NBA Draft process and leads to problematic outcomes for the entire league-policy.Originality/valueThe paper delivers first evidence for an athleticism-induced decision-making bias regarding the NBA Draft process. Informing future selection-behavior of managers this research could improve NBA Draft decision-making quality.

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The effects of brand equity and failure severity on remedy choice after a product recall

Journal of Product & Brand Management ◽

10.1108/jpbm-02-2020-2741 ◽

2021 ◽

Vol ahead-of-print (ahead-of-print) ◽

Author(s):

Sascha Raithel ◽

Alexander Mafael ◽

Stefan J. Hock

Keyword(s):

Decision Making ◽

Brand Equity ◽

Probit Model ◽

Future Research ◽

Product Recalls ◽

Product Recall ◽

Managerial Decision ◽

Managerial Decision Making ◽

Content Type ◽

Failure Severity

Purpose There is limited insight concerning a firm’s remedy choice after a product recall. This study aims to propose that failure severity and brand equity are key antecedents of remedy choice and provides empirical evidence for a non-linear relationship between pre-recall brand equity and the firm’s remedy offer that is moderated by severity. Design/methodology/approach This study uses field data for 159 product recalls from 60 brands between January 2008 to February 2020 to estimate a probit model of the effects of failure severity, pre-recall brand equity and remedy choice. Findings Firms with higher and lower pre-recall brand equity are less likely to offer full (vs partial) remedy compared to medium level pre-recall brand equity firms. Failure severity moderates this relationship positively, i.e. firms with low and high brand equity are more sensitive to failure severity and then select full instead of partial remedy. Research limitations/implications This research reconciles contradictory arguments and research results about failure severity as an antecedent of remedy choice by introducing brand equity as another key variable. Future research could examine the psychological process of managerial decision-making through experiments. Practical implications This study increases the awareness of the importance of remedy choice during product-harm crises and can help firms and regulators to better understand managerial decision-making mechanisms (and fallacies) during a product-harm crisis. Originality/value This study theoretically and empirically advances the limited literature on managerial decision-making in response to product recalls.

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Comparative CSR decision-making in the Middle East: an exploratory study

International Journal of Islamic and Middle Eastern Finance and Management ◽

10.1108/imefm-01-2020-0017 ◽

2021 ◽

Vol ahead-of-print (ahead-of-print) ◽

Author(s):

Pierre El Haddad ◽

Alexandre Anatolievich Bachkirov ◽

Olga Grishina

Keyword(s):

Decision Making ◽

Middle East ◽

Middle Eastern ◽

Structured Interviews ◽

Managerial Decision ◽

Content Type ◽

Nodal Model ◽

Comparative Csr ◽

High Level ◽

Corporate Social

Purpose This study aims to explore the commonalities and differences of corporate social responsibility (CSR) perceptions among business leaders in Oman and Lebanon, two Middle Eastern countries forming a comparative dyad with a high level of cultural variance within the Arab cluster. Design/methodology/approach Semi-structured interviews were used to elicit qualitative data that were analyzed by means of multilevel analysis. Findings The findings provide empirical evidence that CSR is a powerful factor in managerial decision-making in the Middle East with the national cultures of Oman and Lebanon exerting partially differing effects on CSR decision-making. Practical implications The study enlightens practicing managers and policymakers in terms of the salience of multiple actors’ influence on CSR decision-making processes and the responses they may receive when developing and implementing CSR initiatives in the Middle East. Originality/value The study proposes a seven nodal model, which captures the flow of CSR decision-making in the research contexts.

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Design of a New Synthetic Acceptance Sampling Plan

Symmetry ◽

10.3390/sym10110653 ◽

2018 ◽

Vol 10 (11) ◽

pp. 653 ◽

Cited By ~ 2

Author(s):

Saeed Dobbah ◽

Muhammad Aslam ◽

Khushnoor Khan

Keyword(s):

Standard Deviation ◽

Normal Distribution ◽

Operating Characteristic ◽

Linear Optimization ◽

Sampling Plan ◽

Quality Characteristic ◽

Acceptance Sampling ◽

Acceptance Sampling Plan ◽

Non Linear

In this paper, we propose a new synthetic sampling plan assuming that the quality characteristic follows the normal distribution with known and unknown standard deviation. The proposed plan is given and the operating characteristic (OC) function is derived to measure the performance of the proposed sampling plan for some fixed parameters. The parameters of the proposed sampling plan are determined using non-linear optimization solution. A real example is added to explain the use of the proposed plan by industry.

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