References
- Abdallah, T., Diabat, A., & Simchi-Levi, D. (2012). Sustainable supply chain design: A closed-loop formulation and sensitivity analysis. Production Planning & Control, 23(2-3), 120–133. https://doi.org/https://doi.org/10.1080/09537287.2011.591622
- Aguado, S., Alvarez, R., & Domingo, R. (2013). Model of efficient and sustainable improvements in a lean production system through processes of environmental innovation. Journal of Cleaner Production, 47, 141–148. https://doi.org/https://doi.org/10.1016/j.jclepro.2012.11.048
- Aguezzoul, A. (2014). Third-party logistics selection problem: A literature review on criteria and methods. Omega, 49, 69–78. https://doi.org/https://doi.org/10.1016/j.omega.2014.05.009
- Akarte, M. M., Surendra, N. V., Ravi, B., & Rangaraj, N. (2001). Web based casting supplier evaluation using analytical hierarchy process. Journal of the Operational Research Society, 52(5), 511–522. https://doi.org/https://doi.org/10.1057/palgrave.jors.2601124
- Almeida-Dias, J., Figueira, J. R., & Roy, B. (2010). Electre Tri-C: A multiple criteria sorting method based on characteristic reference actions. European Journal of Operational Research, 204(3), 565–580. https://doi.org/https://doi.org/10.1016/j.ejor.2009.10.018
- Amjed, T. W., Harrison, N. J. (2013). A Model for sustainable warehousing: From theory to best practices. In Proceedings of the International Decision Sciences Institute and Asia Pacific DSI Conference (pp. 1–28). http://www.conferencemgt.com/conf/idsi13/www/abs130212001.htm
- Ashrafzadeh, M., Rafiei, F. M., Isfahani, N. M., & Zare, Z. (2012). Application of fuzzy TOPSIS method for the selection of warehouse location: A case study. Interdisciplinary Journal of Contemporary Research in Business, 3(9), 655–671.
- Badri Ahmadi, H., Kusi-Sarpong, S., & Rezaei, J. (2017). Assessing the social sustainability of supply chains using best worst method. Resources, Conservation and Recycling, 126, 99–106. https://doi.org/https://doi.org/10.1016/j.resconrec.2017.07.020
- Bai, C., Kusi-Sarpong, S., Badri Ahmadi, H., & Sarkis, J. (2019). Social sustainable supplier evaluation and selection: A group decision-support approach. International Journal of Production Research, 57(22), 7046–7067. https://doi.org/https://doi.org/10.1080/00207543.2019.1574042
- Bai, C., Kusi-Sarpong, S., & Sarkis, J. (2017). An implementation path for green information technology systems in the Ghanaian mining industry. Journal of Cleaner Production, 164, 1105–1123. https://doi.org/https://doi.org/10.1016/j.jclepro.2017.05.151
- Barron, H., & Schmidt, C. P. (1988). Sensitivity analysis of additive multiattribute value models. Operations Research, 36(1), 122–127. https://doi.org/https://doi.org/10.1287/opre.36.1.122
- BBVA Annual Report. (2012). BBVA EAGLEs emerging and growth leading economies [online]. Retrieved April 03, 2019, from https://www.bbvaresearch.com/KETD/fbin/mult/120215_BBVAEAGLES_Annual_Report_tcm348-288784.pdf?ts=1642012
- Beise, M., & Rennings, K. (2005). Lead markets and regulation: A framework for analyzing the international diffusion of environmental innovations. Ecological Economics, 52(1), 5–17. https://doi.org/https://doi.org/10.1016/j.ecolecon.2004.06.007
- Bilbao-Terol, A., Arenas-Parra, M., Cañal-Fernández, V., & Obam-Eyang, P. N. (2018). Multi-criteria analysis of the GRI sustainability reports: An application to Socially Responsible Investment. Journal of the Operational Research Society, 69(10), 1576–1598. https://doi.org/https://doi.org/10.1057/s41274-017-0229-0
- Buckley, H. (2006). Stop thirsty tyres, presentation to RHA Scotland and Northern Ireland Annual Conference.
- Büyüközkan, G., & Uztürk, D. (2017). Combined QFD TOPSIS approach with 2-tuple linguistic information for warehouse selection [Paper presentation]. 2017 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE) (pp. 1–6). IEEE. https://doi.org/https://doi.org/10.1109/FUZZ-IEEE.2017.8015684[]
- Cagliano, A. C., DeMarco, A., Rafele, C., & Volpe, S. (2011). Using system dynamics in warehouse management: A fast‐fashion case study. Journal of Manufacturing Technology Management, 22(2), 171–188. https://doi.org/https://doi.org/10.1108/17410381111102207
- Cai, W. G., & Zhou, X. L. (2014). On the drivers of eco-innovation: Empirical evidence from China. Journal of Cleaner Production, 79, 239–248. https://doi.org/https://doi.org/10.1016/j.jclepro.2014.05.035
- CarbonTrust. (2007). Lighting: Bright ideas for more efficient illumination. CTV021, HMSO.
- Carter, C. R., & Rogers, D. S. (2008). A framework of sustainable supply chain management: Moving toward new theory. International Journal of Physical Distribution & Logistics Management, 38(5), 360–387. https://doi.org/https://doi.org/10.1108/09600030810882816
- Cheaitou, A., & Khan, S. A. (2015). An integrated supplier selection and procurement planning model using product predesign and operational criteria. International Journal on Interactive Design and Manufacturing, 9(3), 213–224. https://doi.org/https://doi.org/10.1007/s12008-015-0280-5
- Ciomek, K., Ferretti, V., & Kadziński, M. (2018). Predictive analytics and disused railways requalification: Insights from a post factum analysis perspective. Decision Support Systems, 105, 34–51. https://doi.org/https://doi.org/10.1016/j.dss.2017.10.010
- Conceição, S. V., Pedrosa, L. H. P., Neto, A. S. C., Vinagre, M., & Wolff, E. (2012). The facility location problem in the steel industry: A case study in Latin America. Production Planning & Control, 23(1), 26–46. https://doi.org/https://doi.org/10.1080/09537287.2010.539991
- da Silva, D. D., de Vasconcelos, N. V. C., & Cavalcante, C. A. V. (2015). Multicriteria decision model to support the assignment of storage location of products in a warehouse. Mathematical Problems in Engineering, 2015, 1–8. https://doi.org/https://doi.org/10.1155/2015/481950
- Dashore, K., & Sohani, N. (2013). Green supply chain management-barriers & drivers: A review. International Journal of Engineering Research and Technology, 2(4), 2021–2030. https://www.ijert.org/green-supply-chain-management-barriers-drivers-a-review
- De Marco, A., & Mangano, G. (2011). Relationship between logistic service and maintenance costs of warehouses. Facilities, 29(9/10), 411–421. https://doi.org/https://doi.org/10.1108/02632771111146323
- Demirel, T., Demirel, N. Ç., & Kahraman, C. (2010). Multi-criteria warehouse location selection using Choquet integral. Expert Systems with Applications, 37(5), 3943–3952. https://doi.org/https://doi.org/10.1016/j.eswa.2009.11.022
- Department for Transport (DfT). (2006). Road Freight Statistics 2005, UK Department for Transport. Retrieved March 2019, from http://data.cas.manchester.ac.uk/database3/Ian%20Longley/transport/reports/Transport%20Statistics%202006.pdf
- Dey, B., Bairagi, B., Sarkar, B., & Sanyal, S. K. (2013). A hybrid fuzzy technique for the selection of warehouse location in a supply chain under a Utopian environment. International Journal of Management Science and Engineering Management, 8(4), 250–261. https://doi.org/https://doi.org/10.1080/17509653.2013.825075
- Dey, B., Bairagi, B., Sarkar, B., & Sanyal, S. K. (2016). Warehouse location selection by fuzzy multi-criteria decision making methodologies based on subjective and objective criteria. International Journal of Management Science and Engineering Management, 11(4), 262–278. https://doi.org/https://doi.org/10.1080/17509653.2015.1086964
- Dey, B., Bairagi, B., Sarkar, B., & Sanyal, S. K. (2017). Group heterogeneity in multi member decision making model with an application to warehouse location selection in a supply chain. Computers & Industrial Engineering, 105, 101–122. https://doi.org/https://doi.org/10.1016/j.cie.2016.12.025
- Diabat, A., & Govindan, K. (2011). An analysis of the drivers affecting the implementation of green supply chain management. Resources, Conservation and Recycling, 55(6), 659–667. https://doi.org/https://doi.org/10.1016/j.resconrec.2010.12.002
- Drezner, T., & Drezner, Z. (2012). Modelling lost demand in competitive facility location. Journal of the Operational Research Society, 63(2), 201–206. https://doi.org/https://doi.org/10.1057/jors.2011.10
- Dubey, R., Bag, S., Ali, S. S., & Venkatesh, V. G. (2013). Green purchasing is key to superior performance: An empirical study. International Journal of Procurement Management, 6(2), 187–210. https://doi.org/https://doi.org/10.1504/IJPM.2013.052469
- Dutta, B., Singha, T., Goh, M., Lamata, M. T., & Verdegay, J. L. (2019). Post factum analysis in TOPSIS based decision making method. Expert Systems with Applications, 138, 112806. https://doi.org/https://doi.org/10.1016/j.eswa.2019.07.023
- Dweiri, F., Khan, S. A., & Almulla, A. (2018). A multi-criteria decision support system to rank sustainable desalination plant location criteria. Desalination, 444, 26–34. https://doi.org/https://doi.org/10.1016/j.desal.2018.07.007
- Dweiri, F., Khan, S. A., & Jain, V. (2015). Production planning forecasting method selection in a supply chain: A case study. International Journal of Applied Management Science, 7(1), 38–58. https://doi.org/https://doi.org/10.1504/IJAMS.2015.068056
- Dweiri, F., Kumar, S., Khan, S. A., & Jain, V. (2016). Designing an integrated AHP based decision support system for supplier selection in automotive industry. Expert Systems with Applications, 62, 273–283. https://doi.org/https://doi.org/10.1016/j.eswa.2016.06.030
- European Logistics Association and A. T. Kearney. (2004). Differentiation for performance – Excellence in logistics 2004. Deutscher Verkehrs-Verlag.
- Fahimnia, B., Sarkis, J., & Eshragh, A. (2015). A tradeoff model for green supply chain planning: A leanness-versus-greenness analysis. Omega, 54, 173–190. https://doi.org/https://doi.org/10.1016/j.omega.2015.01.014
- Foroozesh, N., Tavakkoli-Moghaddam, R., & Mousavi, S. M. (2018). A novel group decision model based on mean–variance–skewness concepts and interval-valued fuzzy sets for a selection problem of the sustainable warehouse location under uncertainty. Neural Computing and Applications, 30(11), 3277–3293. https://doi.org/https://doi.org/10.1007/s00521-017-2885-z
- Fragoso, R., & Figueira, J. R. (2020). Sustainable supply chain network design: An application to the wine industry in Southern Portugal. Journal of the Operational Research Society. https://doi.org/https://doi.org/10.1080/01605682.2020.1718015
- Gallmann, F., & Belvedere, V. (2011). Linking service level, inventory management and warehousing practices: A case-based managerial analysis. Operations Management Research, 4(1-2), 28–38. https://doi.org/https://doi.org/10.1007/s12063-010-0043-1
- García, J. L., Alvarado, A., Blanco, J., Jiménez, E., Maldonado, A. A., & Cortés, G. (2014). Multi-attribute evaluation and selection of sites for agricultural product warehouses based on an analytic hierarchy process. Computers and Electronics in Agriculture, 100, 60–69. https://doi.org/https://doi.org/10.1016/j.compag.2013.10.009
- García‐Dastugue, S., & Eroglu, C. (2019). Operating performance effects of service quality and environmental sustainability capabilities in logistics. Journal of Supply Chain Management, 55(3), 68–87. https://doi.org/https://doi.org/10.1111/jscm.12185
- Garetti, M., & Taisch, M. (2012). Sustainable manufacturing: Trends and research challenges. Production Planning & Control, 23(2-3), 83–104. https://doi.org/https://doi.org/10.1080/09537287.2011.591619
- Gazeley. (2004). Eco template a framework for increasingly environmental and socially responsible logistics development. Gazeley UK Limited.
- Glasmeier, A. K., & Kibler, J. (1996). Power shift – The rising control of distributors and retailers in the supply chain for manufactured goods. Urban Geography, 17(8), 740–757. https://doi.org/https://doi.org/10.2747/0272-3638.17.8.740
- González, P., Sarkis, J., & Adenso‐Díaz, B. (2008). Environmental management system certification and its influence on corporate practices. International Journal of Operations & Production Management, 28(11), 1021–1041. https://doi.org/https://doi.org/10.1108/01443570810910179
- Govindan, K., Kadziński, M., Ehling, R., & Miebs, G. (2019). Selection of a sustainable third-party reverse logistics provider based on the robustness analysis of an outranking graph kernel conducted with ELECTRE I and SMAA. Omega, 85, 1–15. https://doi.org/https://doi.org/10.1016/j.omega.2018.05.007
- Gunasekaran, A., Irani, Z., & Papadopoulos, T. (2014). Modelling and analysis of sustainable operations management: Certain investigations for research and applications. Journal of the Operational Research Society, 65(6), 806–823. https://doi.org/https://doi.org/10.1057/jors.2013.171
- Gunasekaran, A., Marri, H. B., & Menci, F. (1999). Improving the effectiveness of warehousing operations: A case study. Industrial Management & Data Systems, 99(8), 328–339. https://doi.org/https://doi.org/10.1108/02635579910291975
- Gunasekaran, A., Patel, C., & Tirtiroglu, E. (2001). Performance measures and metrics in a supply chain environment. International Journal of Operations & Production Management, 21(1/2), 71–87. https://doi.org/https://doi.org/10.1108/01443570110358468
- Gupta, H., Kusi-Sarpong, S., & Rezaei, J. (2020). Barriers and overcoming strategies to supply chain sustainability innovation. Resources, Conservation and Recycling, 161, 104819. https://doi.org/https://doi.org/10.1016/j.resconrec.2020.104819
- Hassan, M. M. D. (2002). A framework for the design of warehouse layout. Facilities, 20(13/14), 432–440. https://doi.org/https://doi.org/10.1108/02632770210454377
- He, Y., Wang, X., Lin, Y., Zhou, F., & Zhou, L. (2017). Sustainable decision making for joint distribution center location choice. Transportation Research Part D: Transport and Environment, 55, 202–216. https://doi.org/https://doi.org/10.1016/j.trd.2017.07.001
- Hosseini-Motlagh, S. M., Ebrahimi, S., & Jokar, A. (2019). Sustainable supply chain coordination under competition and green effort scheme. Journal of the Operational Research Society. https://doi.org/https://doi.org/10.1080/01605682.2019.1671152
- Hudson. (2005). The case for work–life balance: Closing the gap between policy and practice. 20 Series, 20, 3–24.
- Hyde, K. M., & Maier, H. R. (2006). Distance-based and stochastic uncertainty analysis for multi-criteria decision analysis in excel using visual basic for applications. Environmental Modelling & Software, 21(12), 1695–1710. https://doi.org/https://doi.org/10.1016/j.envsoft.2005.08.004
- Hyde, K. M., Maier, H. R., & Colby, C. B. (2005). A distance-based uncertainty analysis approach to multi-criteria decision analysis for water resource decision making. Journal of Environmental Management, 77(4), 278–290. https://doi.org/https://doi.org/10.1016/j.jenvman.2005.06.011
- Ishizaka, A., & Nemery, P. (2014). Assigning machines to incomparable maintenance strategies with ELECTRE-SORT. Omega, 47, 45–59. https://doi.org/https://doi.org/10.1016/j.omega.2014.03.006
- Ishizaka, A., Pearman, C., & Nemery, P. (2012). AHPSort: An AHP-based method for sorting problems. International Journal of Production Research, 50(17), 4767–4784. https://doi.org/https://doi.org/10.1080/00207543.2012.657966
- Ishtiaq, P., Khan, S. A., & Haq, M. U. (2018). A multi-criteria decision-making approach to rank supplier selection criteria for hospital waste management: A case from Pakistan. Waste Management & Research, 36(4), 386–394. https://doi.org/https://doi.org/10.1177/0734242X18755894
- Jain, V., & Khan, S. A. (2017). Application of AHP in reverse logistics service provider selection: A case study. International Journal of Business Innovation and Research, 12(1), 94–119. https://doi.org/https://doi.org/10.1504/IJBIR.2017.080711
- Jha, M. K., Raut, R. D., Gardas, B. B., & Raut, V. (2018). A sustainable warehouse selection: An interpretive structural modelling approach. International Journal of Procurement Management, 11(2), 201–232. https://doi.org/https://doi.org/10.1504/IJPM.2018.090025
- Ji, G., & Gunasekaran, A. (2014). Evolution of innovation and its strategies: From ecological niche models of supply chain clusters. Journal of the Operational Research Society, 65(6), 888–903. https://doi.org/https://doi.org/10.1057/jors.2013.136
- Johnson, A., Chen, W. C., & McGinnis, L. F. (2010). Large-scale Internet benchmarking: Technology and application in warehousing operations. Computers in Industry, 61(3), 280–286. https://doi.org/https://doi.org/10.1016/j.compind.2009.10.006
- Johnson, A., & McGinnis, L. (2010). Performance measurement in the warehousing industry. IIE Transactions, 43(3), 220–230. https://doi.org/https://doi.org/10.1080/0740817X.2010.491497
- Johnson, E. (2008). Disagreement over carbon footprints: A comparison of electric and LPG forklifts. Energy Policy, 36(4), 1569–1573. https://doi.org/https://doi.org/10.1016/j.enpol.2008.01.014
- Kadziński, M., Ciomek, K., Rychły, P., & Słowiński, R. (2016). Post factum analysis for robust multiple criteria ranking and sorting. Journal of Global Optimization, 65(3), 531–562. https://doi.org/https://doi.org/10.1007/s10898-015-0359-3
- Karmaker, C., & Saha, M. (2015). Optimization of warehouse location through fuzzy multi-criteria decision making methods. Decision Science Letters, 4(3), 315–334. https://doi.org/https://doi.org/10.5267/j.dsl.2015.4.005
- Ketikidis, P. H., Hayes, O. P., Lazuras, L., Gunasekaran, A., & Koh, S. L. (2013). Environmental practices and performance and their relationships among Kosovo construction companies: A framework for analysis in transition economies. International Journal of Services and Operations Management, 14(1), 115–130. https://doi.org/https://doi.org/10.1504/IJSOM.2013.050565
- Khan, S. A., Chaabane, A., & Dweiri, F. T. (2018). Multi-criteria decision-making methods application in supply chain management: A systematic literature. In Multi-criteria methods and techniques applied to supply chain management (Vol. 1). BoD–Books on Demand. doi:https://doi.org/10.5772/intechopen.74067
- Khan, S. A., Chaabane, A., & Dweiri, F. (2019). A knowledge-based system for overall supply chain performance evaluation: A multi-criteria decision making approach. Supply Chain Management: An International Journal, 24(3), 377–396. https://doi.org/https://doi.org/10.1108/SCM-06-2017-0197
- Khan, S. A., Dweiri, F., & Chaabane, A. (2016). Fuzzy-AHP approach for warehouse performance measurement [Paper presentation]. 2016 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM), December (pp. 871–875). IEEE. https://doi.org/https://doi.org/10.1109/IEEM.2016.7798001[]
- Khan, S. A., Dweiri, F., & Jain, V. (2016). Integrating analytical hierarchy process and quality function deployment in automotive supplier selection. International Journal of Business Excellence, 9(2), 156–177. https://doi.org/https://doi.org/10.1504/IJBEX.2016.074851
- Khan, S. A., & Hosany, Y. I. A. (2016). Multi-million construction contractor selection: A comparative study. International Journal of Intelligent Enterprise, 3(2), 93–119. https://doi.org/https://doi.org/10.1504/IJIE.2016.076030
- Khan, S. A., Kusi-Sarpong, S., Arhin, F. K., & Kusi-Sarpong, H. (2018). Supplier sustainability performance evaluation and selection: A framework and methodology. Journal of Cleaner Production, 205, 964–979. https://doi.org/https://doi.org/10.1016/j.jclepro.2018.09.144
- Khumawala, B. M., & Whybark, D. C. (1976). Solving the dynamic warehouse location problem. International Journal of Physical Distribution, 6(5), 238–251. https://doi.org/https://doi.org/10.1108/eb014375
- Kirchoff, J. F., Omar, A., & Fugate, B. S. (2016). A behavioral theory of sustainable supply chain management decision making in non‐exemplar firms. Journal of Supply Chain Management, 52(1), 41–65. https://doi.org/https://doi.org/10.1111/jscm.12098
- Korpela, J., & Tuominen, M. (1996). A decision aid in warehouse site selection. International Journal of Production Economics, 45(1-3), 169–180. https://doi.org/https://doi.org/10.1016/0925-5273(95)00135-2
- Krejčí, J., & Ishizaka, A. (2018). FAHPSort: A fuzzy extension of the AHPSort method. International Journal of Information Technology & Decision Making, 17(04), 1119–1145. https://doi.org/https://doi.org/10.1142/S0219622018400011
- Kuorinka, I., Lortie, M., & Gautreau, M. (1994). Manual handling in warehouses: The illusion of correct working postures. Ergonomics, 37(4), 655–661. https://doi.org/https://doi.org/10.1080/00140139408963680
- Kusi-Sarpong, S., Gupta, H., & Sarkis, J. (2019). A supply chain sustainability innovation framework and evaluation methodology. International Journal of Production Research, 57(7), 1990–2008. https://doi.org/https://doi.org/10.1080/00207543.2018.1518607
- Kusi-Sarpong, S., & Sarkis, J. (2019). Sustainable supply chains and emerging economies. Resources, Conservation and Recycling, 143, 238–243. https://doi.org/https://doi.org/10.1016/j.resconrec.2019.01.016
- Kusi-Sarpong, S., Sarkis, J., & Wang, X. (2016). Assessing green supply chain practices in the Ghanaian mining industry: A framework and evaluation. International Journal of Production Economics, 181, 325–341. https://doi.org/https://doi.org/10.1016/j.ijpe.2016.04.002
- Kusi-Sarpong, S., Varela, M. L., Putnik, G., Ávila, P., & Agyemang, J. (2018). Supplier evaluation and selection: A fuzzy novel multi-criteria group decision-making approach. International Journal for Quality Research, 12(2), 459–486. https://doi.org/https://doi.org/10.18421/IJQR12.02-10
- Lambert, D., Stock, J. R., & Ellram, L. M. (1998). Fundamentals of logistics management. McGraw-Hill/Irwin. https://doi.org/https://doi.org/10.1007/978-3-540-24816-3_1
- Larsson, T. J., & Rechnitzer, G. (1994). Forklift trucks—analysis of severe and fatal occupational injuries, critical incidents and priorities for prevention. Safety Science, 17(4), 275–289. https://doi.org/https://doi.org/10.1016/0925-7535(94)90029-9
- Linton, J. D., Klassen, R., & Jayaraman, V. (2007). Sustainable supply chains: An introduction. Journal of Operations Management, 25(6), 1075–1082. https://doi.org/https://doi.org/10.1016/j.jom.2007.01.012
- Lolli, F., Ishizaka, A., & Gamberini, R. (2014). New AHP-based approaches for multi-criteria inventory classification. International Journal of Production Economics, 156, 62–74. https://doi.org/https://doi.org/10.1016/j.ijpe.2014.05.015
- López, C., & Ishizaka, A. (2017). GAHPSort: A new group multi-criteria decision method for sorting a large number of the cloud-based ERP solutions. Computers in Industry, 92-93, 12–25. https://doi.org/https://doi.org/10.1016/j.compind.2017.06.007
- Luthra, S., Kumar, V., Kumar, S., & Haleem, A. (2011). Barriers to implement green supply chain management in automobile industry using interpretive structural modeling technique: An Indian perspective. Journal of Industrial Engineering and Management, 4(2), 231–257. https://doi.org/https://doi.org/10.3926/jiem.v4n2.p231-257
- Luthra, S., Qadri, M. A., Garg, D., & Haleem, A. (2014). Identification of critical success factors to achieve high green supply chain management performances in Indian automobile industry. International Journal of Logistics Systems and Management, 18(2), 170–199. https://doi.org/https://doi.org/10.1504/IJLSM.2014.062325
- Magee, J. F., Copacino, W. C., & Rosenfield, D. B. (1985). Modern logistics management: Integrating marketing, manufacturing and physical distribution. John Wiley & Sons.
- Marchant, C. (2010). Reducing the environmental impact of warehousing. In A. McKinnon, S. Cullinane, M. Browne, & A. Whiting (Eds.), Green logistics improving the environmental sustainability of logistics (Chapter 8, pp. 167–192). Kogan Page.
- Mehta, Y., & Rajan, A. J. (2017). Manufacturing sectors in India: Outlook and challenges. Procedia Engineering, 174, 90–104. https://doi.org/https://doi.org/10.1016/j.proeng.2017.01.173
- Meneghetti, A., & Monti, L. (2013). Sustainable storage assignment and dwell-point policies for automated storage and retrieval systems. Production Planning & Control, 24(6), 511–520. https://doi.org/https://doi.org/10.1080/09537287.2011.637525
- Miccoli, F., & Ishizaka, A. (2017). Sorting municipalities in Umbria according to the risk of wolf attacks with AHPSort II. Ecological Indicators, 73, 741–755. https://doi.org/https://doi.org/10.1016/j.ecolind.2016.10.034
- Millet, I. (1997). The effectiveness of alternative preference elicitation methods in the analytic hierarchy process. Journal of Multi‐Criteria Decision Analysis, 6(1), 41–51. https://doi.org/https://doi.org/10.1002/(SICI)1099-1360(199701)6:1 < 41::AID-MCDA122 > 3.0.CO;2-D
- Nemery, P., Ishizaka, A., Camargo, M., & Morel, L. (2012). Enriching descriptive information in ranking and sorting problems with visualizations techniques. Journal of Modelling in Management, 7(2), 130–147. https://doi.org/https://doi.org/10.1108/17465661211242778
- Nemery, P., & Lamboray, C. (2008). FlowSort: A flow-based sorting method with limiting or central profiles. TOP, 16(1), 90–113. https://doi.org/https://doi.org/10.1007/s11750-007-0036-x
- Neto, J. Q. F., Bloemhof-Ruwaard, J. M., van Nunen, J. A., & van Heck, E. (2008). Designing and evaluating sustainable logistics networks. International Journal of Production Economics, 111(2), 195–208. https://doi.org/https://doi.org/10.1016/j.ijpe.2006.10.014
- New Zealand Department of Labour (NZDoL). (2007). Managing shift work to minimise workplace fatigue. Department of Labour. Retrieved Febuary 15, 2019, from https://worksafe.govt.nz/topic-and-industry/work-related-health/fatigue/fatigue-quick-guide/
- NZBCSD. (2003). Business guide to a sustainable supply chain: A practical guide. New Zealand Business Council for Sustainable Development. Retrieved from Febuary 20, 2019. https://www.sbc.org.nz/__data/assets/pdf_file/0005/54914/Sustainable-Supply-Chain-Guide.pdf
- Orji, I. J., Kusi-Sarpong, S., & Gupta, H. (2020). The critical success factors of using social media for supply chain social sustainability in the freight logistics industry. International Journal of Production Research, 58(5), 1522–1539. https://doi.org/https://doi.org/10.1080/00207543.2019.1660829
- Orji, I. J., Kusi-Sarpong, S., Gupta, H., & Okwu, M. (2019). Evaluating challenges to implementing eco-innovation for freight logistics sustainability in Nigeria. Transportation Research Part A: Policy and Practice, 129, 288–305. https://doi.org/https://doi.org/10.1016/j.tra.2019.09.001
- Orji, I. J., Kusi-Sarpong, S., Huang, S., & Vazquez-Brust, D. (2020). Evaluating the factors that influence blockchain adoption in the freight logistics industry. Transportation Research Part E: Logistics and Transportation Review, 141, 102025. https://doi.org/https://doi.org/10.1016/j.tre.2020.102025
- Özcan, T., Çelebi, N., & Esnaf, Ş. (2011). Comparative analysis of multi-criteria decision making methodologies and implementation of a warehouse location selection problem. Expert Systems with Applications, 38(8), 9773–9779. https://doi.org/https://doi.org/10.1016/j.eswa.2011.02.022
- Pagell, M., & Shevchenko, A. (2014). Why research in sustainable supply chain management should have no future. Journal of Supply Chain Management, 50(1), 44–55. https://doi.org/https://doi.org/10.1111/jscm.12037
- Perrott, B. (2014). The sustainable organisation: Blueprint for an integrated model. Journal of Business Strategy, 35(3), 26–37. https://doi.org/https://doi.org/10.1108/JBS-07-2013-0061
- Por, H. H., & Budescu, D. V. (2017). Eliciting subjective probabilities through pair‐wise comparisons. Journal of Behavioral Decision Making, 30(2), 181–196. https://doi.org/https://doi.org/10.1002/bdm.1929
- Ramaa, A., Subramanya, K. N., & Rangaswamy, T. M. (2012). Impact of warehouse management system in a supply chain. International Journal of Computer Applications, 54(1), 14–20. https://doi.org/https://doi.org/10.5120/8530-2062
- Rao, C., Goh, M., Zhao, Y., & Zheng, J. (2015). Location selection of city logistics centers under sustainability. Transportation Research Part D: Transport and Environment, 36, 29–44. https://doi.org/https://doi.org/10.1016/j.trd.2015.02.008
- Rao, P. (2002). Greening the supply chain: A new initiative in South East Asia. International Journal of Operations & Production Management, 22(6), 632–655. https://doi.org/https://doi.org/10.1108/01443570210427668
- Raut, R. D., Narkhede, B. E., Gardas, B. B., & Raut, V. (2017). Multi-criteria decision making approach: A sustainable warehouse location selection problem. International Journal of Management Concepts and Philosophy, 10(3), 260–281. https://doi.org/https://doi.org/10.1504/IJMCP.2017.085834
- Rehman, S. T., Khan, S. A., Kusi-Sarpong, S., & Hassan, S. M. (2018). Supply chain performance measurement and improvement system. Journal of Modelling in Management, 13(3), 522–549. https://doi.org/https://doi.org/10.1108/JM2-02-2018-0012
- Rimiene, K. (2008). The design and operation of warehouse. Economics & Management, 13, 136–137.
- Roh, S. Y., Jang, H. M., & Han, C. H. (2013). Warehouse location decision factors in humanitarian relief logistics. The Asian Journal of Shipping and Logistics, 29(1), 103–120. https://doi.org/https://doi.org/10.1016/j.ajsl.2013.05.006
- Saaty, T. L. (1977). A scaling method for priorities in hierarchical structures. Journal of Mathematical Psychology, 15(3), 234–281. https://doi.org/https://doi.org/10.1016/0022-2496(77)90033-5
- Saaty, T. L. (1980). The analytic hierarchy process. McGraw-Hill.
- Saaty, T. L. (2003). Decision-making with the AHP: Why is the Principal Eigenvector necessary? European Journal of Operational Research, 145(1), 85–91. https://doi.org/https://doi.org/10.1016/S0377-2217(02)00227-8
- Safe Work Australia. (2011). Code of Practice: Managing the work environment and facilities. Safe Work Australia. Retrieved January 18, 2019, from https://www.safework.nsw.gov.au/__data/assets/pdf_file/0016/50074/Managing-the-work-environment-and-facilities-COP.pdf
- Sarkis, J. (2018). Sustainable and green supply chains: Advancement through Resources, Conservation and Recycling. Resources, Conservation and Recycling, 134, A1–A3. https://doi.org/https://doi.org/10.1016/j.resconrec.2017.12.022
- Schmitt, A. J., Sun, S. A., Snyder, L. V., & Shen, Z. J. M. (2015). Centralization versus decentralization: Risk pooling, risk diversification, and supply chain disruptions. Omega, 52, 201–212. https://doi.org/https://doi.org/10.1016/j.omega.2014.06.002
- Sivitanidou, R. (1996). Warehouse and distribution facilities and community attributes: An empirical study. Environment and Planning A: Economy and Space, 28(7), 1261–1278. https://doi.org/https://doi.org/10.1068/a281261
- Song, Y., & Li, G. (2019). A large-scale group decision-making with incomplete multi-granular probabilistic linguistic term sets and its application in sustainable supplier selection. Journal of the Operational Research Society, 70(5), 827–841. https://doi.org/https://doi.org/10.1080/01605682.2018.1458017
- Stolze, H., Mollenkopf, D., Thornton, L., Brusco, M., & Flint, D. (2018). Supply chain and marketing integration: Tension in frontline social networks. Journal of Supply Chain Management, 54(3), 3–21. https://doi.org/https://doi.org/10.1111/jscm.12169 https://doi.org/https://doi.org/10.1080/01605682.2018.1458017
- Tan, K. S., Ahmed, M. D., & Sundaram, D. (2010). Sustainable enterprise modelling and simulation in a warehousing context. Business Process Management Journal, 16(5), 871– 886. https://doi.org/https://doi.org/10.1108/14637151011076511
- Tompkins, J. A., & Smith, J. D. (1998). The warehouse management handbook. Tompkins Press.
- Tompkins, J. A., White, J. A., Bozer, Y. A., Frazelle, E. H., Tanchoco, J. M. A., & Trevino, J. (1996). Facilities planning (2nd ed.). John Wiley & Sons.
- Triantaphyllou, E., & Sánchez, A. (1997). A sensitivity analysis approach for some deterministic multi‐criteria decision‐making methods. Decision Sciences, 28(1), 151–194. https://doi.org/https://doi.org/10.1111/j.1540-5915.1997.tb01306.x
- Turğut, B. T., Taş, G., Herekoğlu, A., Tozan, H., & Vayvay, O. (2011). A fuzzy AHP based decision support system for disaster center location selection and a case study for Istanbul. Disaster Prevention and Management: An International Journal, 20(5), 499–520. https://doi.org/https://doi.org/10.1108/09653561111178943
- Uysal, F., & Tosun, Ö. (2014). Selection of sustainable warehouse location in supply chain using the grey approach. International Journal of Information and Decision Sciences, 6(4), 338–353. https://doi.org/https://doi.org/10.1504/IJIDS.2014.066633
- Varadarajan, R. (2017). Innovating for sustainability: A framework for sustainable innovations and a model of sustainable innovations orientation. Journal of the Academy of Marketing Science, 45(1), 14–36. https://doi.org/https://doi.org/10.1007/s11747-015-0461-6
- Ward, D., Tyler, P., Wilson, P., Eichinger, M., Pat, W. (2004). Developments in rail simulators and computer based training to increase training. In CORE 2000: Railway Technology for the 21st Century (pp. 229–235). https://trove.nla.gov.au/work/39448015
- Wolters, W. T. M., & Mareschal, B. (1995). Novel types of sensitivity analysis for additive MCDM methods. European Journal of Operational Research, 81(2), 281–290. https://doi.org/https://doi.org/10.1016/0377-2217(93)E0343-V
- WorkSafe Victoria. (2008). Workplace amenities and work environment. WorkSafe Victoria. Retrieved from March 25, 2019, from https://www.worksafe.vic.gov.au/resources/compliance-code-workplace-amenities-and-work-environment
- Wruck, S., Vis, I. F., & Boter, J. (2013). Time-restricted batching models and solution approaches for integrated forward and return product flow handling in warehouses. Journal of the Operational Research Society, 64(10), 1505–1516. https://doi.org/https://doi.org/10.1057/jors.2012.137
- Wu, P., Jin, Y., Shi, Y., & Shyu, H. (2017). The impact of carbon emission costs on manufacturers' production and location decision. International Journal of Production Economics, 193, 193–206. https://doi.org/https://doi.org/10.1016/j.ijpe.2017.07.005
- Wutthisirisart, P., Sir, M. Y., & Noble, J. S. (2015). The two-warehouse material location selection problem. International Journal of Production Economics, 170, 780–789. https://doi.org/https://doi.org/10.1016/j.ijpe.2015.07.008
- Xiao, C., Wilhelm, M., van der Vaart, T., & van Donk, D. P. (2019). Inside the buying firm: Exploring responses to paradoxical tensions in sustainable supply chain management. Journal of Supply Chain Management, 55(1), 3–20. https://doi.org/https://doi.org/10.1111/jscm.12170
- Xing, Y., & Dangerfield, B. (2011). Modelling the sustainability of mass tourism in island tourist economies. Journal of the Operational Research Society, 62(9), 1742–1752. https://doi.org/https://doi.org/10.1057/jors.2010.77
- Xu, C., Zhao, D., Min, J., & Hao, J. (2020). An inventory model for nonperishable items with warehouse mode selection and partial backlogging under trapezoidal-type demand. Journal of the Operational Research Society. https://doi.org/https://doi.org/10.1080/01605682.2019.1708822
- Yuan, Q. (2018). Environmental justice in warehousing location: State of the art. Journal of Planning Literature, 33(3), 287–298. https://doi.org/https://doi.org/10.1177/0885412217753841
- Zailani, S., Jeyaraman, K., Vengadasan, G., & Premkumar, R. (2012). Sustainable supply chain management (SSCM) in Malaysia: A survey. International Journal of Production Economics, 140(1), 330–340. https://doi.org/https://doi.org/10.1016/j.ijpe.2012.02.008
- Żuchowski, W. (2015). Division of environmentally sustainable solutions in warehouse management and example methods of their evaluation. Logforum, 11(2), 171–182. https://doi.org/https://doi.org/10.17270/J.LOG.2015.2.5