Abstract
Determining the criteria of Material Handling equipment selection is a primary and important step in the material handling equipment selection. While these criteria often are in conflict with each other due to which selection of equipment is a complex decision-making process. This paper proposes a ranking of the various criteria of material handling equipment selection based on the AHP method. The criteria for selection of MHE considered for this paper are safety, capacity, cost, standardization, maintenance, flexibility, and space utilization. The ranking of the criteria carried out using AHP. An example has been presented for the method.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsAbbreviations
- MHE:
-
Material Handling Equipment
- AHP:
-
Analytical Hierarchy Process
- MCDM:
-
Multi-criteria Decision Making
- RI:
-
Random Index
- CI:
-
Consistency Index
References
Apple JM (1972) Material handling system design. Wiley, New York
Apple JM (1980) Plant layout and material handling. Wiley, New York
Saaty TL (1980) The analytic hierarchy process. McGraw-Hill, New York
Ghazikalayeh AR, Amirafshari M, Mkrchyan HM, Taji M (2013) Application of fuzzy hybrid analytic network process in equipment selection of open-pit metal mines. Int J Res Ind Eng 2(3):35–46
Karande P, Chakraborty S (2013) Material handling equipment selection using weighted utility additive theory. J Ind Eng 2013:1–9
Paulo J, Lashkari RS, Dutta SP (2002) Operation allocation and materials-handling system selection in a flexible manufacturing system: a sequential modelling approach. Int J Prod Res 40(1):7–35
Maniya KD, Bhatt MG (2011) A multi-attribute selection of automated guided vehicle using the AHP/M-GRA technique. Int J Prod Res 49(20):6107–6124
Varun S, Harshita R, Pramod S, Nagaraju D (2017) Evaluation and selection of material handling equipment in iron and steel industry using analytic hierarchy process. IOP Conf Series 197(1)
Momani AM, Ahmed AA (2011) Material handling equipment selection using hybrid Monte Carlo simulation and analytic hierarchy process. World Acad Sci Eng Technol 59:953–958
Chakraborty S, Banik D (2006) Design of a Material Handling Equipment Selection Model Using Analytic Hierarchy Process. Int J Adv Manuf Technol 28(11–12):1237–1245
Onut S, Kara SS, Mert S (2009) Selecting the suitable material handling equipment in the presence of vagueness. Int J Adv Manuf Technol 44(7–8):818–828
Kulak O (2005) A decision support system for fuzzy multi-attribute selection of material handling Equipments. Expert Syst Appl 29(2):310–319
Mir Hosseini SHL, Hamid L, Webb P (2009) A hybrid fuzzy knowledge-based expert system and genetic algorithm for efficient selection and assignment of material handling equipment. Expert Syst Appl 36(9):11875–11887
Chan FTS, Ip RWL, Lau H (2001) Integration of expert system with the analytic hierarchy process for the design of material handling equipment selection system. J Mater Process Technol 116(2–3):137–145
Braglia M, Gabbrielli R, Miconi D (2001) Material handling device selection in cellular manufacturing. J Multi-Criteria Decis Anal 10(6):303–315
Subramanian N, Ramanathan R (2012) A review of applications of analytic hierarchy process in operations management. Int J Prod Econ 138(2012):215–241
Saaty TL (2004) Decision making with analytic hierarchy process. Int J Serv Sci 1(1):83
Zahedi F (1986) The analytic hierarchy process, a survey of the method and its applications. Interfaces 16(4):96–108
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2020 Springer Nature Switzerland AG
About this paper
Cite this paper
Gaur, A.V., Ronge, B.P. (2020). Ranking Material Handling Equipment Selection Criteria by AHP. In: Pawar, P., Ronge, B., Balasubramaniam, R., Vibhute, A., Apte, S. (eds) Techno-Societal 2018 . Springer, Cham. https://doi.org/10.1007/978-3-030-16962-6_18
Download citation
DOI: https://doi.org/10.1007/978-3-030-16962-6_18
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-16961-9
Online ISBN: 978-3-030-16962-6
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)