Benchmarking of service quality with data envelopment analysis

2014 ◽  
Vol 41 (8) ◽  
pp. 3761-3768 ◽  
Author(s):  
Hakyeon Lee ◽  
Chulhyun Kim
2018 ◽  
Vol 8 (2) ◽  
pp. 67
Author(s):  
Mairina Anggarini Francesca

Technique Service Unit as party who handling directly distribution disturbance, where this unit have big influence on network service quality. Found that compliance on disturbance at present indicating there is waste in network service process then at this research will be quality repair effort from technique service unit from efficiency aspect. In this research method are Data Envelopment Analysis to determining where unit would be primary focus in this research based on efficiency level, Lean Service to improving poor technique service quality, as well as Value Management and dynamic system modeling with software Vensim used for improvement doing. Result of the research indicating whenever Data Envelopment Analysis, Network Service Unit (UPJ) Dukuh Kupang stated inefficiency with Technical Efficiency around 0,73. And repair effort in waste reducing found that waste defect as main cause with seven typesdisturbance causes as Critical to Quality. From CTQ found waste cause as well as repair priority, and repair alternative based on highest RPN value from FMEA then simulated to get best alternative. From available alternative, could be proved that repair recommendation had changed Network Service Unit (UPJ) be efficient with scale efficiency value change from 0,972 to 1. The advantage of this research are problem discussed completely and detail, where repair objectives done on unit really experienced problem. Then causes of the exist problem seek the cause root then priority of repair could precisely. And effort in choosing best alternatives previous simulated with the aim could be known system behavior over the impact of repair that be conducted. Then finally enable a comparison between before systemcondition and after repair


Author(s):  
Le Thi Phuong Thanh ◽  
Tong Viet Bao Hoang ◽  
Hoang Viet Hanh Nguyen

Abstract: Vietnam’s textile and apparel sector has achieved fast and sustainable growth over the past years and played an important role in national socio-economic development. The export value of textile and garment products in recent years has ranked number two in the country’s total export revenue. In this scenario, an attempt was made to examine the service quality at the manufacturer – distributor interface of the textile supply chain and provide clear guidelines for benchmarking of service quality in multi-unit services. A sample of 144 distributors from Small and Medium Enterprises (SMEs) in major regions of South Vietnam was selected. Exploratory Factor Analysis was used to identify the critical factors of service quality. This research applies the data envelopment analysis (DEA) approach to the computation of a measure of overall service quality and benchmarking when measuring service quality with the Service Performance model. Dealing with the five dimensions of Service Performance (SERVPERF) as outputs, the proposed approach uses DEA as a tool for multiple criteria decision making (MCDM), in particular, the pure output DEA model without inputs. Data envelopment analysis measures the relative efficiency of decision-making units (DMUs) and identifies a set of corresponding efficient DMUs that can be used as benchmarks for the improvement of inefficient DMUs. The findings shed valuable insights on measures and critical underlying dimensions of service quality in the context of the supply chain in the textile industry, specifically from the distributor perspective. The results also give the best performer in textile SMEs and set the benchmarking guideline within each group among SEMsKeywords: service quality, data envelopment analysis, SERVPERF


Author(s):  
Kevin M. Higgins ◽  
Siriphong Lawphongpanich ◽  
John F. Mahoney ◽  
Yafeng Yin

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