A decision-focused knowledge management framework to support collaborative decision making for lean supply chain management

References

• Akerkar , RA and Sajja , PS . 2010 . Knowledge-based Systems , Sudbury , MA : Jones and Bartlett Publishers .
   Google Scholar
• Allesian , S . 2010 . Performance measurement in supply chains: new network analysis and entropic indexes . International Journal of Production Research , 48 ( 8 ) : 2297 – 2321 .
   Web of Science ®Google Scholar
• Barnes , D . 2008 . Operations management: An international perspective , London : Thomson Learning .
   Google Scholar
• Beskese , A , Kahraman , C and Irani , Z . 2004 . Quantification of flexibility in advanced manufacturing systems using fuzzy concept . International Journal of Production Economics , 89 ( 1 ) : 45 – 56 .
   Web of Science ®Google Scholar
• Bottani , E and Rizzi , A . 2006 . A fuzzy TOPISIS methodology to support outsourcing of reverse logistics services . Supply Chain Management: An International Journal , 11 ( 4 ) : 294 – 308 .
   Web of Science ®Google Scholar
• Boyer , K and Verma , R . 2009 . Operations and Supply Chain Management: World Class Theory and Practice. International Edition , Wadsworth, USA : South-West Cengage Learning .
   Google Scholar
• Browning , TR and Heath , RD . 2009 . Reconceptualising the effects of lean on production costs with evidence from the F-22 program . Journal of Operations Management , 27 ( 1 ) : 23 – 44 .
   Web of Science ®Google Scholar
• Bruce , M , Daly , L and Towers , N . 2004 . Lean or agile: a solution for supply chain management in the textiles and clothing industry? . International Journal of Operations and Production Management , 24 ( 2 ) : 151 – 170 .
   Web of Science ®Google Scholar
• Cabrerizo , FJ , Perez , IJ and Herrera-Viedma , E . 2010 . Managing the consensus in group decision making in an unbalanced fuzzy linguistic context with incomplete information . Knowledge-Based Systems , 23 ( 2 ) : 169 – 181 .
   Web of Science ®Google Scholar
• Capo-Vicedo , J , Mula , J and Capo , J . 2011 . A social network-based organisational model for improving knowledge management in supply chains . Supply Chain Management – An International Journal , 16 ( 4 ) : 284 – 293 .
   Web of Science ®Google Scholar
• Cetinkaya , B . 2011 . Sustainable supply chain management: Practical ideas for moving towards best practice , Berlin : Springer .
   Google Scholar
• Chen , YJ . 2010 . Development of a method for ontology-based empirical knowledge representation and reasoning . Decision Support Systems , 50 ( 1 ) : 1 – 20 .
   Web of Science ®Google Scholar
• Choudhary , AK , Harding , JA and Tiwari , MK . 2009 . Data mining in manufacturing: a review based on the kind of knowledge . Journal of Intelligent Manufacturing , 20 ( 5 ) : 501 – 521 .
   Web of Science ®Google Scholar
• Chuu , SJ . 2011 . Interactive group decision-making using a fuzzy linguistic approach for evaluating the flexibility in a supply chain . European Journal of Operational Research , 213 ( 1 ) : 279 – 289 .
   Web of Science ®Google Scholar
• Dhar , V and Stein , R . 1997 . Intelligent decision support methods: The science of knowledge work , Upper Saddle River , NJ : Prentice Hall .
   Google Scholar
• Dou , Y and Sakis , J . 2010 . A joint location and outsourcing sustainability analysis for a strategic off-shoring decision . International Journal of Production Research , 48 ( 15 ) : 567 – 592 .
   Web of Science ®Google Scholar
• Fugate , BS , Stank , TP and Mentzer , JT . 2009 . Linking improved knowledge management to operational and organisational performance . Journal of Operations Management , 27 ( 3 ) : 247 – 264 .
   Web of Science ®Google Scholar
• Gao , YJ . et al., 2009. Research on the knowledge sharing mechanism to realise lean supply chain management. In: International conference on construction and real estate management, 5–6 November 2009, Beijing, China, China Architecture and Building Press. Vols. 1 and 2, 520–523
   Google Scholar
• Gebus , S and Leviska , K . 2009 . Knowledge acquisition for decision support systems on an electronic assembly line . Expert Systems with Applications , 36 ( 1 ) : 93 – 101 .
   Web of Science ®Google Scholar
• Guerra-Zubiaga , DA and Young , RIM . 2008 . Design of a manufacturing model . International Journal of Computer Integrated Manufacturing , 21 ( 5 ) : 526 – 539 .
   Web of Science ®Google Scholar
• Gunasekaran , A and Irani , Z . 2010 . Modelling and analysis of outsourcing decisions in global supply chains . International Journal of Production Research , 48 ( 2 ) : 301 – 304 .
   Web of Science ®Google Scholar
• Hallam , CRA . 2010 . “ Lean supply chain management techniques for complex aerospace systems: using discrete event simulation to mitigate programmatic cost and schedule risk ” . In PICMET 2010: Technology management for global economic growth, 18–22 July 2010, Portland, OR, USA , Edited by: Kocaoglu , DF , Anderson , TR and Daim , TU . New York, USA : IEEE, 1–9 .
   Google Scholar
• Halley , A . 2010 . The impact of the supply chain on core competencies and knowledge management: direction for future research . International Journal of Technology Management , 49 ( 4 ) : 297 – 313 .
   Web of Science ®Google Scholar
• Harding , JA . 2006 . Data mining in manufacturing: a review . Journal of Manufacturing Science and Engineering – Transactions of the ASME , 128 ( 4 ) : 969 – 976 .
   Web of Science ®Google Scholar
• Hines , P , Holweg , M and Rich , N . 2004 . Learning to evolve: a review of contemporary lean thinking . International Journal of Operations and Production Management , 24 ( 4 ) : 994 – 1011 .
   Web of Science ®Google Scholar
• Hittle , B and Leonard , KM . 2011 . Decision making in advance of a supply chain crisis . Management Decisions , 49 ( 7–8 ) : 1182 – 1193 .
   Web of Science ®Google Scholar
• Ho , W , Xu , X and Dey , PK . 2010 . Multi-criteria decision making approaches for supplier evaluation and selection: a literature review . European Journal of Operational Research , 202 ( 1 ) : 16 – 24 .
   Web of Science ®Google Scholar
• Holweg , M . 2007 . The genealogy of lean production . Journal of Operations Management , 25 ( 2 ) : 420 – 437 .
   Web of Science ®Google Scholar
• Hult , GTM . 2006 . Knowledge as a strategic resource in supply chains . Journal of Operations Management , 24 ( 5 ) : 458 – 475 .
   Web of Science ®Google Scholar
• Kainuma , Y and Tawara , N . 2006 . A multiple attribute utility theory approach to lean and green supply chain management . International Journal of Production Economics , 101 ( 1 ) : 99 – 108 .
   Web of Science ®Google Scholar
• Karpak , B , Kuncu , E and Kasuganti , RR . 2001 . Purchasing materials in the supply chain: managing a multi-objective task . European Journal of Purchasing and Supply Management , 7 ( 3 ) : 209 – 216 .
   Google Scholar
• Kumar , M , Vrat , P and Shankar , R . 2006 . A fuzzy programming approach for vendor selection problem in a supply chain . International Journal of Production Economics , 101 ( 2 ) : 273 – 285 .
   Web of Science ®Google Scholar
• Lee , HL . 2004 . The triple-A supply chain . Harvard Business Review , 82 ( 10 ) : 102 – 112 .
   PubMed Web of Science ®Google Scholar
• Lee-Mortimer , A . 2006 . A lean route to manufacturing survival . Assembly Automation , 26 ( 4 ) : 265 – 272 .
   Web of Science ®Google Scholar
• Liker , JK . 2004 . The Toyota way , New York : McGraw-Hill. .
   Google Scholar
• Liu , S . 2010 . Integration of decision support systems to improve decision support performance . Knowledge and Information Systems – An International Journal , 22 ( 3 ) : 261 – 286 .
   Web of Science ®Google Scholar
• Liu , S , Young , RIM and Ding , L . 2011 . A decision support system for global manufacturing co-ordination in the automotive industry . International Journal of Computer Integrated Manufacturing , 24 ( 4 ) : 285 – 301 .
   Web of Science ®Google Scholar
• Malhotra , Y . 2001 . Expert systems for knowledge management: crossing the chasm between information processing and sense making . Expert Systems with Applications , 20 ( 1 ) : 7 – 16 .
   Web of Science ®Google Scholar
• Manuj , I and Sahin , F . 2011 . A model of supply chain and supply chain decision making complexity . International Journal of Physical Distribution and Logistics Management , 41 ( 5 ) : 511 – 549 .
   Web of Science ®Google Scholar
• Marra , M . 5 . Ho, W., and Edwards, J., 2012. Supply chain knowledge management: a literature review. Expert Systems with Applications, 39 , 6103–6110
   Google Scholar
• Mata , F , Martinez , L and Herrera-Viedma , E . 2009 . An adaptive consensus support model for group decision making problems in a multi-granular fuzzy linguistic context . IEEE Transactions on Fuzzy Systems , 17 ( 2 ) : 279 – 290 .
   Web of Science ®Google Scholar
• Meade , L and Sarkis , J . 2002 . A conceptual model for selecting and evaluating third-party reverse logistics providers . Supply Chain Management: An International Journal , 7 ( 5 ) : 283 – 295 .
   Google Scholar
• Mehrabad , MS and Anvari , M . 2010 . Provident decision making by considering dynamic and fuzzy environment for FMS evaluation . International Journal of Production Research , 48 ( 15 ) : 4555 – 4584 .
   Web of Science ®Google Scholar
• Narasimhan , R , Talluri , S and Mahapatra , SK . 2006 . Multi product, multicriteria model for supplier selection with product life cycle considerations . Decision Sciences , 37 ( 4 ) : 577 – 603 .
   Web of Science ®Google Scholar
• Rawabdeh , IA . 2005 . A model for the assessment of waste in job shop environments . International Journal of Operations and Production Management , 25 ( 8 ) : 800 – 822 .
   Web of Science ®Google Scholar
• Saaty , TL and Vargas , LG . 2006 . Decision making with the analytic network process , New York : Springer .
   Google Scholar
• Samuel , KE . 2011 . Knowledge management in supply chain: an empirical study from France . Journal of Strategic Information Systems , 20 ( 3 ) : 283 – 306 .
   Web of Science ®Google Scholar
• Saunders , M , Lewis , P and Thornhill , A . 2009 . Research methods for business students , 5th , Harlow , , England : FT Prentice Hall .
   Google Scholar
• Siegel , JG . et al., 2003. The artificial intelligence handbook: Business applications in accounting, banking, finance, management and marketing. New York: Thomson South-western
   Google Scholar
• Slack , N , Chambers , S and Johnstone , R . 2010 . Operations Management , 6 , Harlow, England : FT Prentice Hall .
   Google Scholar
• Spenser , C . 2007. Drawing on your knowledge with VisiRule. IEEE Potentials, 26 (1), 20–25
   Google Scholar
• Turban , E , Sharda , R and Delen , D . 2011 . Decision support and business intelligence systems , New Jersey : Prentice Hall .
   Google Scholar
• Vachon , S and Klassen , RD . 2006 . Extending green practices across the supply chain . International Journal of Operations and Production Management , 26 ( 7 ) : 795 – 821 .
   Web of Science ®Google Scholar
• Valente , A , Nassehi , A and Newman , ST . 2010 . A STEP compliant knowledge based schema for the manufacture of composites in the aerospace industry . Advances in Intelligent and Soft Computing , 66 ( 1 ) : 1509 – 1525 .
   Google Scholar
• Wee , HM and Wu , S . 2009 . Lean supply chain and its effect on product cost and quality: a case study on Ford Motor Company . Supply Chain Management: An International Journal , 14 ( 5 ) : 335 – 341 .
   Web of Science ®Google Scholar
• Wu , Z and Pagell , M . 2011 . Balancing priorities: decision making in sustainable supply chain management . Journal of Operations Management , 29 ( 6 ) : 577 – 590 .
   Web of Science ®Google Scholar
• Xu , J and Yan , F . 2011 . A multi-objective decision making model for the vendor selection problem . Expert Systems with Applications , 38 ( 8 ) : 9684 – 9695 .
   Web of Science ®Google Scholar
• Yang , B , Yang , Y and Wijngaard , J . 2005 . Impact of postponement on transport: an environmental perspective . International Journal of Logistics Management , 16 ( 2 ) : 131 – 156 .
   Google Scholar
• Zsidisin , GA . 2009 . Book review: end-to-end lean management – A guide to complete supply chain management . Journal of Purchasing and Supply Management , 15 ( 2 ) : 139 – 140 .
   Web of Science ®Google Scholar