Container selection in the presence of partial dual‐role factors

Purpose – The purpose of this paper is to introduce an innovative data envelopment analysis (DEA) model entitled “Non‐binary Arithmetic Operator Dual‐role” (NAOD) under free disposability assumption for selecting the refrigerated containers in cold chain management (CCM).Design/methodology/approach – In classical DEA models, it is assumed that all of input and output variables play a certain role. However, in some cases, some variables play both input and output roles, simultaneously. These variables in DEA are called “dual‐role” factors. This study introduces a new approach to deal with these factors in the process of evaluating a set of homogeneous refrigerated containers, which is based on Free Disposal Hull (FDH) (one of the DEA models). However, in previous dual‐role models, this variable is considered as a binary variable. In this paper, a partial role for dual‐role factors is considered.Findings – The main findings of this paper are: for the first time, the NAOD model is developed for the container...

[1]  Andrew Fearne,et al.  Modelling vegetable marketing systems in South East Asia: phenomenological insights from Vietnam , 2003 .

[2]  M Manyalich,et al.  Cold chain monitoring during cold transportation of human corneas for transplantation. , 2003, Transplantation proceedings.

[3]  Arshinder,et al.  Supply chain coordination: Perspectives, empirical studies and research directions , 2008 .

[4]  M. Bogataj,et al.  Stability of perishable goods in cold logistic chains , 2005 .

[5]  J. Beasley.  Determining Teaching and Research Efficiencies , 1995 .

[6]  I. Chen,et al.  Towards a theory of supply chain management: the constructs and measurements , 2004 .

[7]  Carib M Nelson,et al.  Monitoring temperatures in the vaccine cold chain in Bolivia. , 2007, Vaccine.

[8]  Hing Kai Chan,et al.  An AHP approach in benchmarking logistics performance of the postal industry , 2006 .

[9]  H. Rediers,et al.  Evaluation of the cold chain of fresh-cut endive from farmer to plate , 2009 .

[10]  Boaz Golany,et al.  Foundations of data envelopment analysis for Pareto-Koopmans efficient empirical production functions , 1985 .

[11]  M. Graham,et al.  Stability and competition in intermodal container shipping: finding a balance , 1998 .

[12]  A. Ovca,et al.  Maintaining a cold chain from purchase to the home and at home: consumer opinions. , 2009 .

[13]  Andre-Luc Beylot,et al.  Using Energy-Efficient Wireless Sensor Network for Cold Chain Monitoring , 2009, 2009 6th IEEE Consumer Communications and Networking Conference.

[14]  Rodolfo M. Nayga,et al.  A cold chain network for food exports to developing countries , 2003 .

[15]  Louise Manning,et al.  Benchmarking the poultry meat supply chain , 2008 .

[16]  Erhan Kozan,et al.  Optimum Capacity for Intermodal Container Terminals , 2006 .

[17]  Louise Manning,et al.  Quality assurance models in the food supply chain , 2006 .

[18]  Wang Lan,et al.  A Research on Related Questions of Chinese Food Cold Chain Development , 2008, 2008 International Conference on Management of e-Commerce and e-Government.

[19]  Reza Farzipoor Saen.  A Decision Model for Selecting Third-Party Reverse Logistics Providers in the Presence of Both Dual-Role Factors and Imprecise Data , 2011, Asia Pac. J. Oper. Res..

[20]  David Parker,et al.  Evaluation of the Cold-Chain for Oral Polio Vaccine in a Rural District of India , 2007, Public health reports.

[21]  Roberto Montanari,et al.  Cold chain tracking: a managerial perspective , 2008 .

[22]  John H. Holland,et al.  Adaptation in Natural and Artificial Systems: An Introductory Analysis with Applications to Biology, Control, and Artificial Intelligence , 1992 .

[23]  Guofeng Deng,et al.  Enhancing Cargo Container Security during Transportation: A Mesh Networking Based Approach , 2008, 2008 IEEE Conference on Technologies for Homeland Security.

[24]  Joe Zhu,et al.  Dual-role factors in data envelopment analysis , 2006 .

[25]  J. Kuo,et al.  Developing an advanced Multi-Temperature Joint Distribution System for the food cold chain , 2010 .

[26]  J. Vorst.  Performance measurement in agri-food supply-chain networks: an overview , 2006 .

[27]  Reza Farzipoor Saen,et al.  A new chance-constrained data envelopment analysis for selecting third-party reverse logistics providers in the existence of dual-role factors , 2011, Expert Syst. Appl..

[28]  Abraham Charnes,et al.  Measuring the efficiency of decision making units , 1978 .

[29]  Joe Zhu,et al.  Classifying inputs and outputs in data envelopment analysis , 2007, Eur. J. Oper. Res..

[30]  M. D. Webber,et al.  Supply-chain management: logistics catches up with strategy , 1982 .

[31]  John E. Beasley,et al.  Comparing university departments , 1990 .

[32]  Reza Farzipoor Saen,et al.  Restricting weights in supplier selection decisions in the presence of dual-role factors , 2010 .

[33]  Zhou Yun-xia.  Study of Countermeasures Relating to Developing Food Cold Chain Logistics , 2007 .

[34]  Dominique Deprins,et al.  Measuring Labor-Efficiency in Post Offices , 2006 .

[35]  Kashif Hussain,et al.  Integrating food hygiene into quantity food production systems , 2005 .

[36]  Fariborz Jolai,et al.  A new model for classifying inputs and outputs and evaluating the performance of DMUs based on translog output distance function , 2010 .

[37]  Mehdi Toloo.  On classifying inputs and outputs in DEA: A revised model , 2009, Eur. J. Oper. Res..

[38]  John H. Holland,et al.  Adaptation in Natural and Artificial Systems: An Introductory Analysis with Applications to Biology, Control, and Artificial Intelligence , 1992 .

[39]  Per Joakim Agrell,et al.  A Dual Approach to Nonconvex Frontier Models , 2001 .

[40]  Reza Farzipoor Saen,et al.  A new model for selecting third-party reverse logistics providers in the presence of multiple dual-role factors , 2010 .

[41]  D. K. Banwet,et al.  Indian cold chain: modeling the inhibitors , 2009 .

[42]  Reza Farzipoor Saen.  Technology selection in the presence of dual-role factors , 2010, Int. J. Adv. Oper. Manag..

[43]  Changiz Valmohammadi,et al.  Retracted: Using genetic algorithm approach to solve a multi-product EPQ model with defective items, rework, and constrained space , 2012 .

[44]  A. Lansink,et al.  Performance measurement in agri‐food supply chains: a case study , 2007 .

[45]  A. Fearne,et al.  Implanting the benefits of buyer‐supplier collaboration in the soft fruit sector , 2006 .

[46]  Oliver J.A. Howitt,et al.  Energy use of integral refrigerated containers in maritime transportation , 2011 .