Big data analytics in logistics and supply chain management: Certain investigations for research and applications

International Journal of Production Economics

Volumn 176, Issue , 2016, Pages 98-110

  Wang, Gang ^a   Gunasekaran, Angappa ^a   Ngai, Eric W T ^b   Papadopoulos, Thanos ^c  

^a UNIVERSITY OF MASSACHUSETTS DARTMOUTH   (United States)

^b HONG KONG POLYTECHNIC UNIVERSITY   (Hong Kong)

^c UNIVERSITY OF KENT   (United Kingdom)

Author keywords

Big data; Holistic business analytics; Maturity model; Methodologies and techniques; Supply chain analytics

Indexed keywords

SUPPLY CHAIN MANAGEMENT;

BUSINESS ACTIVITIES; BUSINESS ANALYTICS; FUTURE RESEARCH DIRECTIONS; LOGISTICS AND SUPPLY CHAIN MANAGEMENT; MAINTENANCE CYCLES; MATURITY MODEL; METHODOLOGIES AND TECHNIQUES; RESEARCH AND APPLICATION;

BIG DATA;

EID: 84962360985     PISSN: 09255273     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ijpe.2016.03.014     Document Type: Review

References (157)

1. Accenture Global Operations Megatrends Study, 2014. Big Data Analytics in Supply Chain: Hype or Here to Stay? < http://www.accenture.com/us-en/Pages/insight-global-operations-megatrends-big-data-analytics.aspx > (accessed 07.12.14).
2. A.U. Apte, R.G. Rendon, and J. Salmeron An optimization approach to strategic sourcing: a case study of the United States Air Force J. Purch. Supply Manag. 17 4 2011 222 230
3. M. Babai, A. Syntetos, Y. Dalley, and K. Nikolopoulos Dynamic re-order point inventory control with lead-time uncertainty: analysis and empirical investigation Int. J. Prod. Res. 47 9 2009 2461 2483
4. J. Bae, and J. Kim Product development with data mining techniques: a case on design of digital camera Expert Syst. Appl. 38 8 2011 9274 9280
5. A. Baghaliana, S. Rezapourc, and R. Farahani Robust supply chain network design with service level against disruptions and demand uncertainties: a real-life case Eur. J. Oper. Res. 227 1 2013 199 215
6. S. Balaraj Optimization model for improving supply chain visibility Infosys Labs Briefings 11 1 2013 9 19
7. P. Barnaghi, A. Sheth, and C. Henson From data to actionable knowledge: big data challenges in the web of things IEEE Intell. Syst. November/December 2013 67 71
8. N. Bartels Beyond pricing and procurement: maturing technology, globalization, and a seller's market shift focus in supplier management to analytics, risk, and collaboration Manuf. Bus. Technol. 24 6 2006 32 34
9. J. Belaud, S. Negny, F. Dupros, D. Michea, and B. Vautrin Collaborative simulation and scientific big data analysis: illustration for sustainability in natural hazards management and chemical process engineering Comput. Ind. 65 3 2014 521 535
10. L. Benyoucef, X. Xie, and G. Tanonkou Supply chain network design with unreliable suppliers: a Lagrangian relaxation-based approach Int. J. Prod. Res. 51 21 2013 6435 6454
11. Bertels, S., Papania, L., Papania, D., 2010. Embedding sustainability in organizational culture: a systematic review of the body of knowledge. Network for Business Sustainability. < http://nbs.net/wp-content/uploads/Systematic-Review-Sustainability-and-Corporate-Culture.pdf > (accessed 20.04.15).
12. P. Beske, A. Land, and S. Seuring Sustainable supply chain management practices and dynamic capabilities in the food industry: a critical analysis of the literature Int. J. Prod. Econ. 152 2014 131 143
13. A.L. Beutel, and S. Minner Safety stock planning under causal demand forecasting Int. J. Prod. Econ. 140 2 2012 637 639
14. P. Bloch Product design and marketing: reflections after fifteen years J. Prod. Innov. Manag. 28 3 2011 378 380
15. A.B. Borade, G. Kannan, and S.V. Bansod Analytical hierarchy process-based framework for VMI adoption Int. J. Prod. Res. 51 4 2013 963 978
16. Y. Bouzembrak, H. Allaoui, G. Goncalves, H. Bouchriha, and M. Baklouti A possibilistic linear programming model for supply chain network design under uncertainty IMA J. Manag. Math. 24 2 2013 209 229
17. C.R. Carter, and D.S. Rogers A framework of sustainable supply chain management: moving toward new theory Int. J. Phys. Distrib. Logist. Manag. 38 5 2008 360 387
18. L. Case Genpact partners with Jaguar Land Rover to optimize their procurement processes Automot. Ind. 2013 333 334
19. J. Chai, and E. Ngai Multi-perspective strategic supplier selection in uncertain environments Int. J. Prod. Econ. 166 2015 215 225
20. J. Chai, J. Liu, and E. Ngai Application of decision-making techniques in supplier selection: a systematic review of literature Expert Syst. Appl. 40 10 2013 3872 3885
21. N. Cheikhrouhou, F. Marmier, O. Ayadi, and P. Wieser A collaborative demand forecasting process with event-based fuzzy judgements Comput. Ind. Eng. 61 2 2011 409 421
22. A. Chen, and J. Blue Performance analysis of demand planning approaches for aggregating, forecasting and disaggregating interrelated demands Int. J. Prod. Econ. 128 2 2010 586 602
23. C. Chen, T. Ervolina, T.P. Harrison, and B. Gupta Sales and operations planning in systems with order configuration uncertainty Eur. J. Oper. Res. 205 3 2010 604 614
24. H. Chen, R.H. Chiang, and V.C. Storey Business intelligence and analytics: from big data to big impact MIS Q. 4 36 2012 1165 1188
25. L. Chen, J. Olhanger, and O. Tang Manufacturing facility location and sustainability: a literature review and research agenda Int. J. Prod. Econ. 149 2014 154 163
26. Z. Chen Integrated production and outbound distribution scheduling: review and extensions Oper. Res. 58 1 2010 130 148
27. Z. Chen, and G. Vairaktarakis Integrated scheduling of production and distribution operations Manag. Sci. 51 4 2005 614 628
28. P. Chhaochhria, and S. Graves A forecast-driven tactical planning model for a serial manufacturing system Int. J. Prod. Res. 51 23-24 2013 6860 6879
29. T.M. Choi Optimal apparel supplier selection with forecast updates under carbon emission taxation scheme Comput. Oper. Res. 40 11 2013 2646 2655
30. B. Choudhury, Y. Agarwal, K. Singh, and D. Bandyopadhyay Value of information in a capacitated supply chain INFOR 46 2 2008 117 127
31. K. Corley, and D. Gioia Building theory about theory building: what constitutes a theoretical contribution Acad. Manag. Rev. 36 1 2011 12 32
32. P.C.L. Chen, and C.-Y. Zhang Data-intensive applications, challenges, techniques and technologies: a survey on big data Inf. Sci. 10 275 2014 314 347
33. Deloitte, 2011. Analytics for Sustainable Business. White paper. < http://public.deloitte.com/media/analytics/pdfs/us-ba-Deloitte-3MIN-Sustainability-112012.pdf > (accessed 20.04.15).
34. Deloitte, 2013. Sustainability Analytics: The Three-miniute Guide. < http://public.deloitte.com/media/analytics/pdfs/us-ba-Deloitte-3MIN-Sustainability-112012.pdf > (accessed 20.04.15).
35. H. Demirkan, and D. Delen Leveraging the capabilities of service-oriented decision support systems: putting analytics and big data in cloud Decis. Support Syst. 55 1 2013 412 421
36. N. Denk, L. Kaufmann, and C. Carter Increasing the rigor of grounded theory research - a review of the SCM literature Int. J. Phys. Distrib. Logist. Manag. 42 8-9 2012 742 763
37. M. Dong, and F. Chen Performance modeling and analysis of integrated logistic chains: an analytic framework Eur. J. Oper. Res. 162 1 2005 83 98
38. M. Downing, M. Chipulu, U. Ojiako, and D. Kaparis Advanced inventory planning and forecasting solutions: a case study of the UKTLCS Chinook maintenance programme Prod. Plan. Control 25 1 2014 73 90
39. M. Drexl Applications of the vehicle routing problem with trailers and transshipments Eur. J. Oper. Res. 227 2 2012 275 283
40. A. Ekici An improved model for supplier selection under capacity constraint and multiple criteria Int. J. Prod. Econ. 141 2 2013 574 581
41. C. Eksoz, A. Mansouri, and M. Bourlakis Collaborative forecasting in the food supply chain: a conceptual framework Int. J. Prod. Econ. 158 2014 120 135
42. E. Esposito, and P. Evangelista Investigating virtual enterprise models: literature review and empirical findings Int. J. Prod. Econ. 148 2014 145 167
43. J. Fan, F. Han, and H. Liu Challenges of big data analysis Natl. Sci. Rev. 1 2 2014 293 314
44. Y. Feng, S. D'Amours, and R. Beauregard The value of sales and operations planning in oriented strand board industry with make-to-order manufacturing system: cross functional integration under deterministic demand and spot market recourse Int. J. Prod. Econ. 115 1 2008 189 209
45. R. Fernandes, B. Gouveia, and C. Pinho Integrated inventory valuation in multi-echelon production/distribution systems Int. J. Prod. Res. 51 9 2013 2578 2592
46. K. Foerstl, A. Azadegan, T. Leppelt, and E. Hartmann Drivers of supplier sustainability: moving beyond compliance to commitment J. Supply Chain Manag. 51 1 2015 67 92
47. K. Foerstl, C. Reuter, E. Hartmann, and C. Blome Managing supplier sustainability risks in a dynamically changing environment - sustainable supplier management in the chemical industry J. Purch. Supply Manag. 16 2010 118 130
48. J. Gallucci, and H. McCarthy Enhancing the demand planning process with POS forecasting Journal. Bus. Forecast. 27 4 2009 11 14
49. T.F. Gattiker, and C.R. Carter Understanding project champions' ability to gain intra-organizational commitment for environmental projects J. Oper. Manag. 28 1 2010 72 85
50. Genpact, 2014. Supply chain analytics. < http://www.genpact.com/docs/resource-/supply-chain-analytics > (accessed 19.04.15).
51. C. Grewal, K. Sareen, and S. Gill A Multicriteria Logistics-Outsourcing Decision Making Using the Analytic Hierarchy Process 2008
52. W.J. Guerrero, T.G. Yeung, and C. Guret Joint-optimization of inventory policies on a multi-product multi-echelon pharmaceutical system with batching and ordering constraints Eur. J. Oper. Res. 231 1 2013 98 108
53. A. Gumus, A. Guneri, and F. Ulengin A new methodology for multi-echelon inventory management in stochastic and neuro-fuzzy environments Int. J. Prod. Econ. 128 1 2010 248 260
54. A. Gunasekaran, Z. Irani, K.-L. Choy, L. Filippi, and T. Papadopoulos Performance measures and metrics in outsourcing decisions: a review for research and applications Int. J. Prod. Econ. 161 2015 153 166
55. A. Gunasekaran, and A. Spalanzani Sustainability of manufacturing and services: investigations for research and applications Int. J. Prod. Econ. 140 1 2012 35 47
56. A. Gunasekaran, and B. Kobu Performance measures and metrics in logistics and supply chain management: a review of recent literature (1995-2004) for research and applications Int. J. Prod. Res. 45 12 2007 2819 2840
57. C. Guo, and X. Li A multi-echelon inventory system with supplier selection and order allocation under stochastic demand Int. J. Prod. Econ. 151 2014 37 47
58. A. Gupta, and R. Handfield Creating a global supply chain strategy: application of the supply chain maturity model B.D. Keillor, International Business in the 21st Centure vol. 3 2011 219 244
59. H. Haberleitner, H. Meyr, and A. Taudes Implementation of a demand planning system using advance order information Int. J. Prod. Econ. 128 2 2010 518 526
60. A. Hasani, S. Zegordi, and E. Nikbakhsh Robust closed-loop supply chain network design for perishable goods in agile manufacturing under uncertainty Int. J. Prod. Res. 50 16 2012 4649 4669
61. A. Hasani, S. Zegordi, and E. Nikbakhsh Robust closed-loop global supply chain network design under uncertainty: the case of the medical device industry Int. J. Prod. Res. 2014 1 29
62. J. Hayya, J. Kim, S. Disney, T. Harrison, and D. Chatfield Estimation in supply chain inventory management Int. J. Prod. Res. 44 7 2006 1313 1330
63. Y. He, and X. Zhao Coordination in multi-echelon supply chain under supply and demand uncertainty Int. J. Prod. Econ. 139 1 2012 106 115
64. E. Heo, J. Kim, and S. Cho Selecting hydrogen production methods using fuzzy analytic hierarchy process with opportunities, costs, and risks Int. J. Hydrog. Energy 37 23 2012 17655 17662
65. W. Ho Integrated analytic hierarchy process and its applications: a literature review Eur. J. Oper. Res. 186 1 2008 211 228
66. W. Ho, T. He, C.K.M. Lee, and A. Emrouznejad Strategic logistics outsourcing: an integrated QFD and fuzzy AHP approach Expert Syst. Appl. 39 12 2012 10841 10850
67. W. Ho, X. Xu, and P. Dey Multi-criteria decision making approaches for supplier evaluation and selection: a literature review Eur. J. Oper. Res. 202 1 2010 16 24
68. C.I. Hsu, and H.C. Li Reliability evaluation and adjustment of supply chain network design with demand fluctuations Int. J. Prod. Econ. 132 1 2011 131 145
69. Y.Y. Huang, and R.B. Handfield Measuring the benefits of ERP on supply management maturity model: a "big data" method Int. J. Oper. Prod. Manag. 35 1 2015 2 25
70. S. Jain, E. Lindskog, J. Andersson, and B. Johansson A hierarchical approach for evaluating energy trade-offs in supply chains Int. J. Prod. Econ. 146 2 2013 411 422
71. S. Jharkharia, and R. Shankar Selection of logistics service provider: an analytic network process (ANP) approach Omega 35 3 2007 274 289
72. A. Jindal, and K. Sangwan Closed loop supply chain network design and optimization using fuzzy mixed integer linear programming model Int. J. Prod. Res. 52 14 2014 4156 4173
73. H. Jodlbauer A time-continuous analytic production model for service level, work in process, lead time and utilization Int. J. Prod. Res. 46 7 2008 1723 1744
74. P. Jonsson, and M. Gustavsson The impact of supply chain relationships and automatic data communication and registration on forecast information quality Int. J. Phys. Distrib. Logist. Manag. 38 4 2008 280 295
75. P. Jonsson, and S.A. Mattsson Inventory management practices and their implications on perceived planning performance Int. J. Prod. Res. 46 7 2008 1787 1812
76. M. Kabak, and S. Burmaoglu A holistic evaluation of the e-procurement website by using a hybrid MCDM methodology Electron. Gov.: Int. J. 10 2 2013 125 150
77. K. Khan The transformative power of advanced analytics Supply Chain Manag. Rev. 17 3 2013 48 49
78. W. Klibi, A. Martel, and A. Guitouni The design of robust value-creating supply chain networks: a critical review Eur. J. Oper. Res. 203 2 2010 283293
79. J. Lee, K. Moon, and J. Park Multi-level supply chain network design with routing Int. J. Prod. Res. 48 13 2010 3957 3976
80. H. Lei, G. Laporte, and B. Guo The capacitated vehicle routing problem with stochastic demands and time windows Comput. Oper. Res. 38 12 2011 1775 1783
81. T. Leppelt, K. Foerstl, C. Reuter, and E. Hartmann Sustainability management beyond organizational boundaries-sustainable supplier relationship management in the chemical industry J. Clean. Prod. 56 2013 94 102
82. J. Leung, and Z. Chen Integrated production and distribution with fixed delivery departure dates Oper. Res. Lett. 41 3 2013 290 4
83. B. Li, H. Wang, J. Yang, M. Guo, and C. Qi A belief-rule-based inference method for aggregate production planning under uncertainty Int. J. Prod. Res. 51 1 2013 83 105
84. B. Li, J. Li, W. Li, and S.A. Shirodkar Demand forecasting for production planning decision-making based on the new optimized fuzzy short time-series clustering Prod. Plan. Control 23 9 2012 663 673
85. L. Li, F. Liu, and C. Li Customer satisfaction evaluation method for customized product development using entropy weight and analytic hierarchy process Comput. Ind. Eng. 77 2014 80 87
86. X. Li, P. Tian, and S.C.H. Leung Vehicle routing problems with time windows and stochastic travel and service times: models and algorithm Int. J. Prod. Econ. 125 1 2010 137 145
87. L.L. Lim, G. Alpan, and B. Penz Reconciling sales and operations management with distant suppliers in the automotive industry: a simulation approach Int. J. Prod. Econ. 151 2014 20 36
88. C.C. Lin, and T.H. Wang Build-to-order supply chain network design under supply and demand uncertainties Transp. Res. Part B 45 8 2011 1162 1176
89. Z. Liu, D. Chua, and K. Yeoh Aggregate production planning for shipbuilding with variation-inventory trade-offs Int. J. Prod. Res. 49 20 2011 6249 6272
90. C. Lu, and Y. Wang Combining independent component analysis and growing hierarchical self-organizing maps with support vector regression in product demand forecasting Int. J. Prod. Econ. 128 2 2010 603 661
91. A. Lockamy, and K. McCormack The development of a supply chain management process maturity model using the concepts of business process orientation Supply Chain Manag.: Int. J. 9 4 2004 272 278
92. M. Luchs, and K.S. Swan Perspective: the emergence of product design as a field of marketing inquiry J. Prod. Innov. Manag. 28 3 2011 327 345
93. J. Ma, and H. Kim Continuous preference trend mining for optimal product design with multiple profit cycles J. Mech. Des. 136 6 2014 1 14
94. K. McCormack, M.B. Ladeira, and M.P.V. Oliveira Supply chain maturity and performance in Brazil Supply Chain Manag.: Int. J. 13 4 2008 272 282
95. J.E. Mello, and T.P. Stank Linking firm culture and orientation to supply chain success Int. J. Phys. Distrib. Logist. Manag. 35 8 2005 542 554
96. M.T. Melo, S. Nickel, and F. Saldanha-da-Gama Facility location and supply chain management: a review Eur. J. Oper. Res. 196 2 2009 401 412
97. I. Minis, and A. Tatarakis Stochastic single vehicle routing problem with delivery and pick up and a predefined customer sequence Eur. J. Oper. Res. 213 1 2011 37 51
98. P. Mir Saman, R. Masoud, and T. Seyed Ali A robust optimization approach to closed-loop supply chain network design under uncertainty Appl. Math. Model. 35 2 2011 637 649
99. A. Mirzapour, H. Malekly, and M.B. Aryanezhad A multi-objective robust optimization model for multi-product multi-site aggregate production planning in a supply chain under uncertainty Int. J. Prod. Econ. 134 1 2011 28 42
100. A. Mishra, S. Devaraj, and G. Vaidyanathan Capability hierarchy in electronic procurement and procurement process performance: an empirical analysis J. Oper. Manag. 31 6 2013 376 390
101. H. Mohammadi, R. Mohd. Yusuff, M. Megat Ahmad, and M. Abu Bakar Development of a new approach for deterministic supply chain network design Eur. J. Oper. Res. 198 1 2009 121 128
102. M.H. Mortensen, P.V. Freytag, and J.S. Arlbjørn Attractiveness in supply chains: a process and matureness perspective Int. J Phys. Distrib. Logist. Manag. 38 10 2008 799 815
103. Muhtaroglu, F.C.P., Demir, S., Obali, M., Girgin, C., 2013. Business model canvas perspective on big data applications. In: Proceedings of the IEEE International Conference on Big Data, pp. 32-36.
104. A. Nagurney Optimal supply chain network design and redesign at minimal total cost and with demand satisfaction Int. J. Prod. Econ. 128 1 2010 200 208
105. M. Najafi, K. Eshghi, and W. Dullaert A multi-objective robust optimization model for logistics planning in the earthquake response phase Transp. Res. Part E 49 1 2013 217 249
106. K. Nakatani, and T. Chuang A web analytics tool selection method: an analytical hierarchy process approach Internet Res. 21 2 2011 171 186
107. E.W.T. Ngai, K.K.L. Moon, F.J. Riggins, and C.Y. Yi RFID research: an academic literature review (1995-2005) and future research directions Int. J. Prod. Econ. 112 2008 510 520
108. C. Novoa, and R. Storer An approximate dynamic programming approach for the vehicle routing problem with stochastic demands Eur. J. Oper. Res. 196 2 2009 509 515
109. A. Noyes, R. Godavarti, N. Titchener-Hooker, J. Coffman, and T. Mukhopadhyay Quantitative high throughput analytics to support polysaccharide production process development Vaccine 32 4 2014 2819 2828
110. G. Oruezabala, and J.C. Rico The impact of sustainable public procurement on supplier management: the case of French public hospitals Ind. Mark. Manag. 41 4 2012 573 578
111. L. Ozdamar, and O. Demir A hierarchical clustering and routing procedure for large scale disaster relief logistics planning Transp. Res. Part E: Logist. Transp. Rev. 48 3 2012 591
112. Parashar, M., 2014. Big data challenges in simulation-based science. In: Data Intensive Distributed Computing: Proceedings of the Sixth International Workshop, (DIDC'14), pp. 1-2.
113. T. Paulson Searching for patterns: tapping into big data could inform better vaccine design Nature 507 SI 2014 S10
114. A. Paulraj Understanding the relationship between internal resources and capabilities, sustainable supply management, and organizational sustainability J. Supply Chain Manag. 47 1 2011 19 37
115. B. Pijanowski, A. Tayyebi, J. Doucette, B. Pekin, D. Braun, and J. Plourde A big data urban growth simulation at a national scale: Configuring the GIS and neural network based Land Transformation Model to run in a High Performance Computing (HPC) environment Environ. Model. Softw. 51 2014 250268
116. G. Rajesha, and P. Malligab Supplier selection based on AHP QFD methodology Procedia Eng. 64 2013 1283 1292
117. R. Ranjan Modeling and simulation in performance optimization of big data processing frameworks IEEE Cloud Comput. 1 4 2014 14 19
118. P. Romano Designing and implementing open book accounting in buyersupplier dyads: a framework for supplier selection and motivation Int. J. Prod. Econ. 137 1 2012 68 83
119. J. Rowley, and F. Slack Conducting a literature review Manag. Res. News 27 6 2004 31 39
120. Russom, P., 2011. Big Data Analytics. TDWI Best Practices Report, Fourth Quarter, tdwi.org.
121. Sage, 2013. Better inventory management: Big Challenges, Big Data, Emerging Solutions. < http://na.sage.com/media/site/erp/responsive/resources/Sage-ERP-Better-Inventory-Management-wp.pdf > (accessed 20.04.15).
122. M. Salicr, and S. Civit Data analysis and design optimization in industrial product development: how to bring real-life into the classroom Procedia - Soc. Behav. Sci. 41 2014 347 351
123. J. Sanyal, and J. New Simulation and Big Data Challenges in Tuning Building Energy Models. Workshop on Modeling and Simulation of Cyber-Physical Energy Systems 2013 Oak Ridge National Laboratory
124. SAP, 2013. Unilever Improves Sustainability Through Analytics. < http://www.sap.com/bin/sapcom/da-dk/downloadasset.2013-09-sep-10-17.Unilever%20Improves%20Sustainability%20Through%20Analytics-pdf.html > (accessed 20.04.15).
125. T. Sawik Coordinated supply chain scheduling Int. J. Prod. Econ. 120 2 2009 437
126. J.A. Scott, W. Ho, and P.K. Dey Strategic sourcing in the UK bioenergy industry Int. J. Prod. Econ. 146 2 2013 478 490
127. S. Sharma, and N. Agrawal Application of fuzzy techniques in a multistage manufacturing system Int. J. Adv. Manuf. Technol. 60 1-4 2012 397 407
128. Y. Shen, and S.P. Willems Strategic sourcing for the short-lifecycle products Int. J. Prod. Econ. 139 2 2012 575 585
129. V. Siva Improvement in product development: use of back-end data to support upstream efforts of robust design methodology Qual. Innov. Prosper. 16 2 2012 84
130. K. Slavakis, G.B. Giannakis, and G. Mateos Modeling and optimization for big data analytics IEEE Signal Process. Mag. 2014 18 31
131. M.S. Sodhi, and C.S. Tang Determining supply requirement in the sales-and-operations-planning (S&OP) process under demand uncertainty: a stochastic programming formulation and a spreadsheet implementation J. Oper. Res. Soc. 62 3 2011 526 536
132. H. Soleimani, M. Seyyed-Esfahani, and G. Kannan Incorporating risk measures in closed-loop supply chain network design Int. J. Prod. Res. 52 6 2014 1843 1867
133. S. Son, S. Na, and K. Kim Product data quality validation system for product development processes in high-tech industry Int. J. Prod. Res. 49 12 2011 3751 3766
134. G. Song, Y. Cheon, K. Lee, H. Lim, K. Chung, and H. Rim Multiple categorizations of products: cognitive modeling of customers through social media data mining Pers. Ubiq Comput. 18 6 2014 1387 1403
135. G.C. Souza Supply chain analytics Bus. Horiz. 57 2014 595 605
136. R. Srinivasan, G.L. Lilien, A. Rangaswamy, G.M. Pingitore, and D. Seldin The total product design concept and an application to the auto market the total product design concept and an application to the auto market J. Prod. Innov. Manag. 29 2012 3 20
137. Stroh, M. B., 2002. What is Logistics. Logistics Network. < www.logisticsnetwork.net/articles/What%20is%20Logistics.pdf > (accessed 19.04.15).
138. N. Subramanian, and R. Ramanathan A review of applications of Analytic Hierarchy Process in operations management Int. J. Prod. Econ. 138 2 2012 215 241
139. Swaminathan, S., 2012. The Effects of Big Data on the Logistics Industry. < http://www.oracle.com/us/corporate/profit/archives/opinion/021512-sswaminathan-1523937.html > (accessed 20.04.15).
140. S. Talluri, and R. Narasimhan A methodology for strategic sourcing Eur. J. Oper. Res. 1 154 2004 236 250
141. A. Tiwari, P.C. Chang, and M.K. Tiwari A highly optimised tolerance-based approach for multi-stage, multi-product supply chain network design Int. J. Prod. Res. 50 19 2012 5430 5444
142. K. Tsai, M. Hsieh, and E. Hultink External technology acquisition and product innovativeness: the moderating roles of R&D investment and configurationally context J. Eng. Technol. Manag. 28 3 2011 184 200
143. P. Trkman, K. McCormack, M.P.V. de Oliveira, and M.B. Ladeira The impact of business analytics on supply chain performance Decis. Support Syst. 49 2010 318 327
144. O. Vaidya, and S. Kumar Analytic hierarchy process: an overview of applications Eur. J. Oper. Res. 169 1 2006 1 29
145. T. Vidal, T.G. Crainic, M. Gendreau, and C. Prins Heuristics for multi-attribute vehicle routing problems: a survey and synthesis Eur. J. Oper. Res. 231 1 2013 1 21
146. E. Varoutsa, and R.W. Scapens The governance of inter-organisational relationships during different supply chain maturity phases Ind. Mark. Manag. 46 2015 68 82
147. H. Walker, and S. Brammer The relationship between sustainable procurement and e-procurement in the public sector Int. J. Prod. Econ. 140 1 2012 256
148. M.A. Waller, and S.E. Fawcett Data science, predictive analytics, and big data: a revolution that will transform supply chain design and management J. Bus. Logist. 34 2013 77 84
149. S. Wamba, S. Akter, A. Edwards, G. Chopin, and D. Gnanzou How 'big data' can make big impact: findings from a systematic review and a longitudinal case study Int. J. Prod. Econ 2015 10.1016/j.ijpe.2014.12.031
150. G. Wang, and L. Lei Integrated operations scheduling with delivery deadlines Comput. Ind. Eng. 85 2015 1770 1885
151. G. Wang, and L. Lei Polynomial-time solvable cases of the capacitated multi-echelon shipping network scheduling problem with delivery deadlines Int. J. Prod. Econ. 137 2 2012 263 271
152. G. Wang, L. Lei, and K. Lee Supply chain scheduling with receiving deadlines and a non-linear penalty J. Oper. Res. Soc. 66 2015 380 391
153. R. Wang, and T. Liang Applying possibilistic linear programming to aggregate production planning Int. J. Prod. Econ. 98 3 2005 328 341
154. C. Wei, Y. Li, and X. Cai Robust optimal policies of production and inventory with uncertain returns and demand Int. J. Prod. Econ. 134 2 2011 357 367
155. J.D. Wisner, and S.E. Fawcett Link firm strategy to operating decisions through performance measurement Prod. Inventory Manag. J. 32 3 1991 5 11
156. S. Yeniyurt, J.W. Henke, and E. Cavusgil Integrating global and local procurement for superior supplier working relations Int. Bus. Rev. 22 2 2013 351362
157. E. Zeotmulder Good data, better procurement Summit: Bus. Public Sect. Procure. 17 1 2014 8 11