Selection of optimum plant layout using AHP-TOPSIS and WASPAS approaches coupled with Entropy method

Abstract: Layout design and selection often have notable effects on the performance of the manufacturing industry. This research investigates the Multi-Criteria Decision Making (MCDM) approach to find out the optimum plant layout design. The proposed methodology is demonstrated through the real-life setting for the gearbox manufacturing industry. Manual and computerized layout generation approach is used efficiently and accordingly, six layout designs are generated. The approach takes into account qualitative as well as quantitative performance criteria for the selection of layout design. Analytical Hierarchy Process (AHP) is applied to obtain the weight of qualitative measures. Ranking of alternatives is obtained through the application of Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) and Weighted Aggregated Sum-Product Assessment (WASPAS) both integrated with the Entropy method. Empirical findings indicate that the rank acquired using the TOPSIS method is perfectly parallel to those acquired through the WASPAS method, which confirms the applicability and potential of these methods. Also, the effect of the parameter λ in WASPAS method on performance score is stable. At the same time, this paper analyses the rank reversal phenomenon and proves that the ranking proposed by TOPSIS satisfies ranking stability.

How to cite this paper

 Shivade, A & Sapkal, S. (2022). Selection of optimum plant layout using AHP-TOPSIS and WASPAS approaches coupled with Entropy method.Decision Science Letters , 11(4), 545-562.

Refrences

Abdul-Hamid, Y., Kochhar, A., & Khan, M. (1999). An analytic hierarchy process approach to the choice of manufacturing plant layout. Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture, 397–406.
Agarwal, D., & Singholi, A. (2018). Performance analysis of a FLP problem using AHP-TOPSIS and FAHP-FTOPSIS. International Journal of Industrial and Systems Engineering, 30(4), 401–424.
Aiello, G., Scalia, G., & Enea, M. (2012). A multi objective genetic algorithm for the facility layout problem based upon slicing structure encoding. Expert Systems with Applications, 39(12), 10352–10358.
Aires, R. F. de F., & Ferreira, L. (2019). A new approach to avoid rank reversal cases in the TOPSIS method. Computers and Industrial Engineering, 132(2), 84–97.
Azadeh, A., Ghaderi, S., & Izadbakhsh, H. (2008). Integration of DEA and AHP with computer simulation for railway system improvement and optimization. Applied Mathematics and Computation, 195, 775–785.
Behzadian, M., Otaghsara, S. K., Yazdani, M., & Ignatius, J. (2012). A state-of the-art survey of TOPSIS applications. Expert Systems with Applications, 39, 13051–13069.
Chakraborty, S., & Zavadskas, E. (2014). Applications of WASPAS Method in Manufacturing Decision Making. Informatica, 25(1), 1–20.
Chen, T., Jin, Y., Qiu, X., & Chen, X. (2014). A hybrid fuzzy evaluation method for safety assessment of food-waste feed based on entropy and the analytic hierarchy process methods. Expert Systems with Applications, 41, 7328–7337.
Deshpande, V., Patil, N., Baviskar, V., & Gandhi, J. (2016). Plant Layout Optimization using CRAFT and ALDEP Methodology. Productivity Journal by National Productivity Council, 57(1), 32–42.
Ertay, T., Ruan, D., & Tuzkaya, U. (2006). Integrating data envelopment analysis and analytic hierarchy for the facility layout design in manufacturing systems. Information Sciences, 176, 237–262.
García-Cascales, M. S., & Lamata, M. T. (2012). On rank reversal and TOPSIS method. Mathematical and Computer Modelling, 56(5–6), 123–132.
Goyal, K., Jain, P., & Jain, M. (2012). Optimal configuration selection for reconfigurable manufacturing system using NSGA II and TOPSIS. International Journal of Production Research, 50(15), 4175–4191.
Hadi-vencheh, A., & Mohamadghasemi, A. (2013). An integrated AHP – NLP methodology for facility layout design. Journal of Manufacturing Systems, 32(1), 40–45.
Hakim, I., & Istiyantri, V. (2015). Improvement of Layout Production Facilities for a Secondary Packaging Area of a Pharmaceutical Company in Indonesia Using the CORELAP Method. International Journal of Technology, 6(6), 1006–1016.
Hari Prasad, N., Rajyalakshmi, G., & Sreenivasulu Reddy, A. (2014). A Typical Manufacturing Plant Layout Design Using CRAFT Algorithm. Procedia Engineering, 97, 1808–1814.
Kong, F. (2011). Rank reversal and rank preservation in TOPSIS. Advanced Materials Research, 204–210, 36–41. https://doi.org/10.4028/www.scientific.net/AMR.204-210.36
Moatari-Kazerouni, A., Chinniah, Y., & Agard, B. (2015). Integrating occupational health and safety in facility layout planning , part I : methodology. International Journal of Production Research, 53(11), 3243–3259.
Muther, R., & Hales, L. (2015). Systematic Layout Planning. In Systematic Layout Planning (pp. 83–100). Management & Industrial Research Publications.
Naqvi, S., Fahad, M., Atir, M., Zubair, M., & Shehzad, M. (2016). Productivity improvement of a manufacturing facility using systematic layout planning. Cogent Engineering, 3(1), 1–13.
Panneerselvam, R. (2017). Production and Operation Management. In Production and Operation Management (3rd ed., pp. 159–218). PHI Learning Pvt. Ltd.
Pérez-Gosende, P., Mula, J., & Díaz-Madroñero, M. (2021). Facility layout planning. An extended literature review. International Journal of Production Research, 59(12), 3777–3816.
Sharma, P., & Singhal, S. (2017). Implementation of fuzzy TOPSIS methodology in selection of procedural approach for facility layout planning. The International Journal of Advanced Manufacturing Technology, 88(5–8), 1485–1493.
Singh, S. P., & Sharma, R. R. K. (2006). A review of different approaches to the facility layout problems. International Journal of Advanced Manufacturing Technology, 30(5–6), 425–433.
Tambunan, M., Ginting, E., & Sari, R. (2018). Production facility layout by comparing moment displacement using BLOCPLAN and ALDEP Algorithms. IOP Conference Series: Materials Science and Engineering, 1–6.
Wiyaratn, W., & Watanapa, A. (2010). Improvement Plant Layout Using Systematic Layout Planning (SLP) for Increased Productivity. International Journal of Industrial and Manufacturing Engineering, 4(12), 1382–1386.
Yang, L., Deuse, J., & Jiang, P. (2013). Multiple-attribute decision-making approach for an energy-efficient facility layout design. International Journal of Advance Manufacturing Technology, 66(5–8), 795–807.
Yang, T., & Hung, C.-C. (2007). Multiple-attribute decision making methods for plant layout design problem. Robotics and Computer-Integrated Manufacturing, 23, 126–137.
Yang, T., & Kuo, C. (2003). A hierarchical AHP / DEA methodology for the facilities layout design problem. European Journal of Operational Research, 147, 128–136.