A new framework for green selection of material handling equipment under fuzzy environment
In the rapidly changing global circumstances, managements of industrial organizations are making decisions for their survival in business atmosphere in future. Decision makers in industries are steering their respective organizations towards for appropriate decision making satisfying the condition of ‘Go green’. Appropriate decision making in fuzzy environment is always a hard task. The current investigation explores a new multi criteria decision making approach for green selection of material handling equipment under fuzzy environment. The proposed technique has the capability of capturing effects of economical, environmental and social factors of benefit, non-benefit and target based criteria under uncertainty and vague information. The proposed method is illustrated with a suitable example on material handling equipment selection under fuzzy environment. The result clearly shows that the proposed technique is useful and effective in the decision making process regarding green material handling selection under fuzzy environment.
Chan, F.T.S., Ip, R.W.L. & Lau, H. (2001). Integration of expert system with AHP for the design of material handling equipment system selection. Journal of Material Processing Technology, 116, 137 -145. DOI: https://doi.org/10.1016/S0924-0136(01)01038-X
Chatterjee, P., Athawale, V. M., & Chakraborty, S. (2010). Selection of industrial robots using compromise ranking and outranking methods. Robotics and Computer-Integrated Manufacturing, 26, 483-489. DOI: https://doi.org/10.1016/j.rcim.2010.03.007
Fonseca, D. J., Uppal, G., & Greene, T. J. (2004). A knowledge-based system for conveyor equipment selection. Expert Systems with Applications, 26, 615–623. DOI: https://doi.org/10.1016/j.eswa.2003.12.011
Goswami, S. S., & Behera, D. K. (2021). Solving Material Handling Equipment Selection Problems in an Industry with the Help of Entropy Integrated COPRAS and ARAS MCDM techniques. Process Integration Optimization and Sustainability, 5, 947–973.
Kulak, O. A. (2005). decision support system for fuzzy multi-attribute selection of material handling equipments. Expert Systems with Applications, 29, 310–319. DOI: https://doi.org/10.1016/j.eswa.2005.04.004
Lashkari, R. S., Boparai, R., & Paulo, J. (2004). Towards an integrated model of operation allocation and material handling selection in cellular manufacturing systems, International Journal of Production Economics, 87, 115–139. DOI: https://doi.org/10.1016/S0925-5273(03)00097-5
Mathewa M., & Sahua S. (2018). Comparison of new multi-criteria decision making methods for material handling equipment selection. Management Science Letters, 8, 139–150. DOI: https://doi.org/10.5267/j.msl.2018.1.004
Nguyen, Huu-Tho N., Siti D., Nukman Y., & Hideki A. (2016). An Integrated MCDM Model for Conveyor Equipment Evaluation and Selection in an FMC Based on a Fuzzy AHP and Fuzzy ARAS in the Presence of Vagueness. PLOS ONE, DOI: 10.1371/journal.pone.0153222. DOI: https://doi.org/10.1371/journal.pone.0153222
Poon, T.C., Choy, K. L., Cheng, C. K., Lao, S.I., & Lam, H.Y. (2011). Effective selection and allocation of material handling equipment for stocha production material demand problems using genetic algorithm. Expert Systems with Applications, 38, 12497–12505. DOI: https://doi.org/10.1016/j.eswa.2011.04.033
Satyam, F., Satywan K., & Avinash, K. (2021). Application of Multi-Attribute Decision-Making Methods for the Selection of Conveyor, Research Square, DOI - 10.21203/rs.3.rs-1033410/v1.
Shih, H.S. (2008). Incremental analysis for MCDM with an application to group TOPSIS. European Journal of Operational Research, 186, 720–734. DOI: https://doi.org/10.1016/j.ejor.2007.02.012
Soufi, Z., David, P., & Yahouni Z. (2021). A methodology for the selection of Material Handling Equipment in manufacturing systems. IFAC-Papers OnLine, 54, 122-127.
Sujono, S., & Lashkari, R. S. (2007). A multi-objective model of operation allocation and material handling system selection in FMS design. International Journal of Production Economics, 105, 116 – 133. DOI: https://doi.org/10.1016/j.ijpe.2005.07.007
Tuzkaya, G., Gülsün, B., Kahraman, C., & Özgen, D. (2010). An integrated fuzzy multi-criteria decision making methodology for material handling equipment selection problem and an application. Expert Systems with Applications, 37, 2853–2863. DOI: https://doi.org/10.1016/j.eswa.2009.09.004