The Quality Amplification Challenge: Throughput Time's Effect on Quality Variability and Quality Loss

[1]  Xingxing Zu,et al.  An empirical model of supplier relation and management for better quality , 2013 .

[2]  J. Forrester.  Industrial Dynamics: A Major Breakthrough for Decision Makers , 2012 .

[3]  Li D. Xu.  Information architecture for supply chain quality management , 2011 .

[4]  Georgios Giakatis,et al.  Hidden quality costs and the distinction between quality cost and quality loss , 2001 .

[5]  Prem Vrat,et al.  An ANP based selective assembly approach incorporating Taguchi’s quality loss function to improve quality of placements in technical institutions , 2016 .

[6]  Jmj Marco Schutten,et al.  Inventory reduction in spare part networks by selective throughput time reduction , 2013 .

[7]  John G. Wacker,et al.  The complementary nature of manufacturing goals by their relationship to throughput time: A theory of internal variability of production systems , 1987 .

[8]  José Antonio Domínguez Machuca,et al.  Towards high performance manufacturing , 2011 .

[9]  Benjamin P. H. Kemper,et al.  A study on how to improve the throughput time of Lean Six Sigma projects in a construction company , 2014 .

[10]  Anupam Agrawal,et al.  Managing raw material in supply chains , 2014, Eur. J. Oper. Res..

[11]  Hau L. Lee,et al.  The bullwhip effect in supply chains , 2015, IEEE Engineering Management Review.

[12]  R. Akkerman,et al.  An optimization approach for managing fresh food quality throughout the supply chain , 2011 .

[13]  A. Meyer,et al.  Lasting Improvements in Manufacturing Performance: In Search of a New Theory , 1990 .

[14]  Hau L. Lee,et al.  Information distortion in a supply chain: the bullwhip effect , 1997 .

[15]  Satya S. Chakravorty,et al.  Testing order review and release mechanisms to improve flow time: a multi-method approach , 2017 .

[16]  Divesh Ojha,et al.  Information processing-related infrastructural antecedents of manufacturing flexibility – a real options perspective , 2015 .

[17]  K. Parton,et al.  Relationships between quality of information sharing and supply chain food quality in the Australian beef processing industry , 2014 .

[18]  Jeffrey A. Ogden.  Supply Base Reduction: An Empirical Study of Critical Success Factors , 2006 .

[19]  Bikram Jit Singh,et al.  Unleashing a decisive approach to manage quality costs through behavioural investigation , 2015, Bus. Process. Manag. J..

[20]  Terry P. Harrison,et al.  The Bullwhip Effect—Impact of Stochastic Lead Time, Information Quality, and Information Sharing: A Simulation Study , 2004 .

[21]  Divesh Ojha,et al.  Managing demand variability using requisite variety for improved workflow and operational performance: the role of manufacturing flexibility , 2013 .

[22]  Hany Seidgar,et al.  Scheduling of assembly flow shop problem and machines with random breakdowns , 2017 .

[23]  Paul E. Fischer,et al.  Information, Contracting, and Quality Costs , 2000 .

[24]  Moutaz Khouja,et al.  The impact of quality considerations on material flow in two-stage inventory systems , 2003 .

[25]  Tormod Næs,et al.  Optimal Sorting of Raw Materials, Based on the Predicted End-Product Quality , 2002 .

[26]  Ashish Thomas,et al.  Developing an integrated quality network for lean operations systems , 2018, Bus. Process. Manag. J..

[27]  S. Sana,et al.  Three-echelon supply chain coordination considering duopolistic retailers with perfect quality products , 2016 .

[28]  Paulo Sampaio,et al.  Supply chain management and quality management integration: A conceptual model proposal , 2017 .

[29]  J. J. Dahlgaard,et al.  Quality costs and total quality management , 1992 .

[30]  Sameer Sharma,et al.  Analysis of linkage network of queues with a multi stage flowshop scheduling system , 2014 .

[31]  R. Schroeder,et al.  Relationships between implementation of TQM, JIT, and TPM and manufacturing performance , 2001 .

[32]  A. Toni.  Buyer-supplier operational practices, sourcing policies and plant performances: Results of an empirical research , 1999 .

[33]  Christian N. Madu,et al.  Developing global supply chain quality management systems , 2011 .

[34]  E. J. Flynn,et al.  Synergies between supply chain management and quality management: emerging implications , 2005 .

[35]  Frank Y. Chen,et al.  Quantifying the Bullwhip Effect in a Simple Supply Chain: The Impact of Forecasting, Lead Times, and Information.: The Impact of Forecasting, Lead Times, and Information. , 2000 .

[36]  R. G. Batson,et al.  A new direction in quality engineering: supply chain quality modelling , 2007 .

[37]  Sunil Agrawal,et al.  Impact of information sharing and lead time on bullwhip effect and on-hand inventory , 2009, Eur. J. Oper. Res..

[38]  Yasuhiro Omori.  Estimation for unequally spaced time series of counts with serially correlated random effects , 2003 .

[39]  Armand V. Feigenbaum,et al.  Total quality control , 1961 .

[40]  Jason Chao-Hsien Pan,et al.  Just-in-time purchasing: an integrated inventory model involving deterministic variable lead time and quality improvement investment , 2004 .

[41]  T. C. Edwin Cheng,et al.  Quality uncertainty and quality-compensation contract for supply chain coordination , 2013, Eur. J. Oper. Res..

[42]  William J. Doll,et al.  Developing measures of time-based manufacturing , 1998 .

[43]  Wei Shi Lim,et al.  Producer-Supplier Contracts with Incomplete Information , 2001, Manag. Sci..

[44]  Saeed Maghsoodloo,et al.  Strengths and limitations of taguchi's contributions to quality, manufacturing, and process engineering , 2004 .

[45]  Dara G. Schniederjans.  Business process innovation on quality and supply chains , 2018, Bus. Process. Manag. J..