Every reference with a DOI in the deposited reference list resolved to a known
work in Crossref or DataCite at the dated check, and none carried a retraction,
withdrawal, or removal notice.
The 80 checked references that resolve
resolves10.1002/int.20214Evaluating e-learning web site quality in a fuzzy environment
resolves10.1016/j.eswa.2007.08.041A web-based decision support system for multi-criteria inventory classification using fuzzy AHP methodology
resolves10.1016/j.eswa.2007.08.084Leveraging the supply chain flexibility of third party logistics – Hybrid knowledge-based system approach
resolves10.1016/j.tifs.2008.03.006Refrigeration and cold chain serving the global food industry and creating a better future: two key IIR challenges for improved health and environment
resolves10.1016/j.ins.2007.10.016Developing a fuzzy analytic hierarchy process (AHP) model for behavior-based safety management
resolves10.1016/j.cie.2007.07.009A holistic approach for selecting a third-party reverse logistics provider in the presence of vagueness
resolves10.1016/j.eswa.2008.03.013Evaluation of hazardous waste transportation firms by using a two step fuzzy-AHP and TOPSIS methodology
resolves10.1016/j.jfoodeng.2007.09.005Effects of controlled freezing-point storage at 0°C on quality of green bean as compared with cold and room-temperature storages
resolves10.1016/S0925-5273(97)00014-5Identifying investment opportunities for advanced manufacturing systems with comparative-integrated performance measurement
resolves10.1108/14635770910987823Evaluation of third‐party logistics (3PL) providers by using a two‐phase AHP and TOPSIS methodology
resolves10.1108/13555850810864579An integrated model to identify and classify the key criteria and their role in the assessment of 3PL services providers
resolves10.1007/s10479-016-2332-zCold chain configuration design: location-allocation decision-making using coordination, value deterioration, and big data approximation
resolves10.1080/16258312.2005.11517137Selection of Third-Party Logistics (3PL): A Hybrid Approach Using Interpretive Structural Modeling (ISM) and Analytic Network Process (ANP)
resolves10.1016/j.asoc.2009.08.021Fuzzy AHP to determine the relative weights of evaluation criteria and Fuzzy TOPSIS to rank the alternatives
resolves10.1108/09600030810875373Evaluating the comparative efficiency of Chinese third‐party logistics providers using data envelopment analysis
The 19 references without a DOI — listed, not checked
no DOI — not checkedAguezzoul, A. (2008). A preliminary analysis on third-party logistics selection. In 7th International Meeting for Research in Logistics AVIGNON (pp. 24–26).
no DOI — not checkedBowersox, D. J., & Closs, D. J. (1996). Logistical management: The integrated supply chain process. New York: McGraw-Hill Companies.
no DOI — not checkedChristopher, M. (2011). Logistic & supply chain management (4th ed.). Cambridge: Pearson Education Limited.
no DOI — not checkedDubois, D., & Prade, H. (1980). Fuzzy sets and systems: Theory and applications. New York: Academic Press.
no DOI — not checkedGupta, R., Sachdeva, A., & Bhardwaj, A., (2010). Selection of 3PL service provider using integrated fuzzy delphi and fuzzy TOPSIS. In Proceedings World Congress on Engineering and Computer Science, 20–22 October, San Francisco.
no DOI — not checkedKaufmann, A., & Gupta, M. M. (1991). Introduction to fuzzy arithmetic: Theory and applications. Van Nostrand Reinhold Co.
no DOI — not checkedLeahy, S. E., Murphy, P. R., & Poist, R. F. (1995). Determinants of successful logistical relationships: A third party provider perspective. Transportation Journal, 35(2), 5–13.
no DOI — not checkedMelnyk, A. S., Davis, E. W., Spekman, R. E., & Sandor, J. (2010). Outcome-driven supply chains. MIT Sloan Management Review, 51(2), 33–38.
no DOI — not checkedMenon, M., McGinnis, M., & Ackerman, K. (1998). Selection criteria for providers of third-party logistics services: An exploratory study. Journal of Business Logistics, 19(1), 121–137.
no DOI — not checkedPorter, E. M., & Kramer, R. M. (2006). Strategy and society: The link between competitive advantage and corporate social responsibility. Harvard Business Review, 84(12), 78–92.
no DOI — not checkedPWC. (2007). Farm to retail—overview of India’s retail sector. In Indo-US Economic Summit (pp. 12–26). www.pwc.com/extweb/pwcpublications.nsf/docid/50e7c984c1feebe5ca25739f0023b7e7/$file/buidingstongpartnership.pdf .
no DOI — not checkedSangam, V. K. (2004). Global logistics outsourcing trends: Challenges in managing 3PL relationship. Palmerston: Massey University.
no DOI — not checkedSoh, H. (2010). A decision model for evaluating third party logistics provider using fuzzy analytic hierarchy process. African Journal of Business Management, 4(3), 339–349.
no DOI — not checkedTroyer, C., & Cooper, R. (1995). Smart moves in supply chain integration. Transportation and Distribution, 36(9), 55–62.
no DOI — not checkedUNCTAD. (2006). Report of the Expert Meeting on ICT Solutions to Facilitate Trade at Border Crossings and Ports, United Nations Conference on Trade and Development, Geneva.
no DOI — not checkedVorst, J. G., & Van der, A. G. (2000). Effective food supply chains generating, modeling and evaluating supply chain scenarios. Dutch: Wageningen University.
no DOI — not checkedYan, G. E. (2009). Evaluation on competitiveness of TPL enterprises based on AHP and genetic algorithm. In Proceedings of the 2nd IEEE International Conference on Computer Science and Information Technology.
no DOI — not checkedZang, J. (2009). The research of 3PLs provider selection based on rough set and PSO. In Proceeding of the IITA International Conference on Services Science, Management and Engineering.
no DOI — not checkedZokaee, S., Jabbarzadeh, A, Fahimnia, B, Sadjadi, S. J. (2014). Robust supply chain network design: an optimization model with real world application. In Annals of Operations Research, November (pp. 1–30).
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