Measuring software testing efficiency using two-way assessment technique

Kapur, P. K.; Singh, Gurinder; Sachdeva, Nitin; Tickoo, Anshul

doi:10.1109/icrito.2014.7014679

Cited by 12 publications

(5 citation statements)

References 7 publications

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“…The review of some of the work done in two-way assessment is as follows: Mittal et al (2016) did assessment of barriers to Lean-Green Manufacturing System in India; Gupta et al (2017) applied two-way assessment for modeling and measuring attributes influencing DevOps implementation in an Indian enterprise; Gupta et al (2016) modelled and measured code smells in enterprise applications using total interpretive structural modeling (TISM) and two-way assessment; J.H. Tiemessen et al (2008) assessed the whole body vibration exposure in an exposed population and assessed other physical work demands in two ways; and Kapur et al (2015) measured software testing efficiency.…”

Section: Two-way Assessmentmentioning

confidence: 99%

“…Further, the three utility scenarios, i.e. "Ideal," "Worst" and "Optimum" are calculated to compare the current maturity with these scenarios (Gupta et al, 2017;Kapur et al, 2015). It is expected that the current utility score calculated on expert's opinions should lie in the optimum range.…”

Section: Ijppm 681mentioning

confidence: 99%

“…The Ideal Case utility measure was derived by assuming that each performance indicators was assigned the highest rank of "1" and the numerical score of "10." Ideal case utility represents the highest value of "1,000" as a utility measure (Gupta et al, 2017;Kapur et al, 2015;Mittal et al, 2016), which indicates the best performance of the system and the maximum impact by each performance indicator on improving vaccine supply chain performance.…”

mentioning

confidence: 99%

“…The optimum case utility measure was derived by assuming each performance indicator was assigned the rank of "3" and the numerical score of "6." The optimum case utility represents the average value of "600" (Gupta et al, 2017;Kapur et al, 2015;Mittal et al, 2016), which indicates the average maturity of performance indicators and average improvement on vaccine supply chain performance. The complied ideal, worst and optimum case utility measures are presented in Table VI.…”

mentioning

confidence: 99%

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Two-way assessment of key performance indicators to vaccine supply chain system in India

Chandra

Kumar

2019

IJPPM

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Purpose The purpose of this paper is to identify the key performance indicators (KPIs) of vaccine supply chain of Universal Immunization Program (UIP) India, and measure their impact on vaccine supply chain performance improvement, so that results of this study can help the decision makers manage the activity and effectiveness of their resources in order to improve vaccine delivery performance and child immunization coverage. Design/methodology/approach The 41 KPIs in terms of four dimension of the balanced scorecard (BSC), i.e. financial, customer, internal process and learning and growth have been identified and validated from the literature and expert’s opinions. Further, the impact of internal process and learning and growth performance indicators on the vaccine supply chain performance improvement have been evaluated using two-way assessment. The rankings obtained using two-way assessment are then compared to DEMATEL approach to validate the results. Findings The results from the analysis reveal that “Enhancement in employee work satisfaction” (LG3=10.08 percent), “Enhancement in professional vaccine supply chain managers and leaders” (LG2 = 6.70 percent) “Improvement in planning and coordination in the supply chain” (LG9 = 6.57 percent) are the three critical performance indicators having maximum impact on vaccine supply chain performance improvement. The decision makers should give priority to these performance indicators to improve delivery performance and immunization coverage. Social implications This study focuses on the improvement in vaccine delivery performance, therefore, analysis and findings can be useful to government immunization programs of India to other developing nations to improve child immunization coverage. Originality/value To our knowledge, this paper is first to attempt to provide a direction to improve immunization coverage through vaccine supply chain performance indicators.

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Section: Two-way Assessmentmentioning

confidence: 99%

Section: Ijppm 681mentioning

confidence: 99%

mentioning

confidence: 99%

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confidence: 99%

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Two-way assessment of key performance indicators to vaccine supply chain system in India

Chandra

Kumar

2019

IJPPM

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“…For example, a widely used method in literature is data envelopment analysis (DEA), which when applied on its own heavily relies on quantitative data. But knowing its limitation, some researchers have used imprecise data envelopment analysis and augmented imprecise data envelopment analysis using ordinal data, whereas others have combined other methods with DEA to analyze qualitative data, such as analytical hierarchy process (AHP), fuzzy analytical hierarchy process (FAHP) and fuzzy TOPSIS method (Saen, 2007a; Wu et al , 2007; Zeydan et al , 2011; Kapur et al , 2016; Khurana et al , 2017). However, these studies do not consider quantitative data comprehensively.…”

Section: Introductionmentioning

confidence: 99%

Modeling supplier selection in the era of Industry 4.0

Sachdeva¹,

Shrivastava

Chauhan

2019

BIJ

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Purpose The problem of evaluating potential suppliers has always been based on finding an optimal tradeoff between supplier’s performance consistently meeting firms’ needs and acceptable cost. The purpose of this paper is to propose a hybrid multi-criteria decision framework to quantify this qualitative judgment and reduce ambiguity in selection of suppliers in the era of Industry 4.0. Design/methodology/approach A hybrid intuitionistic fuzzy entropy weight-based multi-criteria decision model with TOPSIS is proposed. The authors make use of the intuitionistic fuzzy weighted approach operator for aggregating individual decision maker’s opinions regarding each alternative over every criterion. Additionally, the authors employ the concept of Shannon’s entropy to calculate the criteria weights. Findings Results obtained on the basis of the proposed hybrid methodology are analyzed against two more cases wherein the authors try to showcase the relevance of using IFS and entropy-based decision framework and find out the uniqueness of the proposed framework in supplier selection process. Practical implications The proposed model is apposite to solve management problem of supplier selection in two ways: aggregating individual decision maker’s opinion for each of the predefined criteria along with individual decision maker’s importance and ranking the suppliers based on both positive and negative ideal solutions using TOPSIS. Originality/value A robust framework incorporates not only suppliers’ performance but also provides weightage to key decision makers. Especially in the context of MCDMs wherein both qualitative and quantitative data is evaluated simultaneously, the proposed framework is unique in its practical implementation of reducing ambiguity in the supplier selection process.

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