The Significance of Warehouse Management in Supply Chain: An ISM Approach

  • Ashutosh Verma School of Mechanical Engineering, KIIT University, India
  • Sushanta Tripathy School of Mechanical Engineering, KIIT University, India
  • Deepak Singhal School of Mechanical Engineering, KIIT University, India
Keywords: Warehouse, Supply Chain Management, Critical Factors, ISM.

Abstract

Warehouse management is the key aspect for an uninterrupted flow of products within a supply chain. This paper deals with the critical factors that are responsible for creating an impactful influence on the working of warehouse management. The analysis involves the selection of critical factors then applying Interpretive Structural Modelling (ISM) methodology to them in order to get the level partition and final ISM model. This research also involves the MICMAC analysis on the factors which classifies all the selected factors into four groups namely, autonomous variables, dependent variables, linkage variables and driver variables. This research will help the supply chain architects to establish a better and reliable warehouse system. As this research involves analysis of multiple domains that is why a variety of users can refer to this work for their businesses, also the ISM approach gives a good accuracy of the hierarchy of the factors which helps in deciding the most effective chronology of the implementation of various warehousing operations. Researchers can also refer to this work to get insights of the significance of warehouse management in the supply chain and also the complete working of the ISM methodology.

Downloads

Download data is not yet available.

References

Handfield, R. B., & Nichols Jr, E. L. (1999). Introduction to. Supply Chain Management, Prentice Hall, Englewood Cliffs, NJ.

Gu, J., Goetschalckx, M., & McGinnis, L. F. (2007). Research on warehouse operation: A comprehensive review. European journal of operational research, 177(1), 1-21. DOI: https://doi.org/10.1016/j.ejor.2006.02.025

Baker, P., & Canessa, M. (2009). Warehouse design: A structured approach. European journal of operational research, 193(2), 425-436. DOI: https://doi.org/10.1016/j.ejor.2007.11.045

Leng, J., Yan, D., Liu, Q., Zhang, H., Zhao, G., Wei, L., & Chen, X. (2021). Digital twin-driven joint optimisation of packing and storage assignment in large-scale automated high-rise warehouse product-service system. International Journal of Computer Integrated Manufacturing, 34(7-8), 783-800.

Au, Y. H. N. (2009). Warehouse management system and business performance: Case study of a regional distribution centre.

Yerpude, S., & Singhal, T. K. (2018). Smart warehouse with internet of things supported inventory management system. International Journal of Pure and Applied Mathematics, 118(24), 1-15.

Custodio, L., & Machado, R. (2020). Flexible automated warehouse: a literature review and an innovative framework. The International Journal of Advanced Manufacturing Technology, 106(1), 533-558.

Lee, C. K., Lv, Y., Ng, K. K. H., Ho, W., & Choy, K. L. (2018). Design and application of Internet of things-based warehouse management system for smart logistics. International Journal of Production Research, 56(8), 2753-2768. DOI: https://doi.org/10.1080/00207543.2017.1394592

De Koster, R., Le-Duc, T., & Roodbergen, K. J. (2007). Design and control of warehouse order picking: A literature review. European journal of operational research, 182(2), 481-501. DOI: https://doi.org/10.1016/j.ejor.2006.07.009

Mao, J., Xing, H., & Zhang, X. (2018). Design of intelligent warehouse management system. Wireless Personal Communications, 102(2), 1355-1367. DOI: https://doi.org/10.1007/s11277-017-5199-7

Ramaa, A., Subramanya, K. N., & Rangaswamy, T. M. (2012). Impact of warehouse management system in a supply chain. International Journal of Computer Applications, 54(1). DOI: https://doi.org/10.5120/8530-2062

Kondratjev, J. (2015). Logistics. Transportation and warehouse in supply chain.

Žunić, E., Delalić, S., Hodžić, K., Beširević, A., & Hindija, H. (2018). Smart warehouse management system concept with implementation. In 2018 14th Symposium on Neural Networks and Applications (NEUREL) (pp. 1-5). IEEE.

Tonape, S., Patil, K., & Karandikar, V. (2016). Manpower Optimization and Method Improvement for a Warehouse.

Glickman, T. S., & White, S. C. (2007). Safety at the source: green chemistry's impact on supply chain management and risk. International Journal of Procurement Management, 1(1-2), 227-237. DOI: https://doi.org/10.1504/IJPM.2007.015363

Rajaprasad, S. V. S., & Chalapathi, P. V. (2015). Factors influencing implementation of OHSAS 18001 in Indian construction organizations: interpretive structural modeling approach. Safety and health at work, 6(3), 200-205. DOI: https://doi.org/10.1016/j.shaw.2015.04.001

Varila, M., Seppänen, M., & Suomala, P. (2007). Detailed cost modelling: a case study in warehouse logistics. International Journal of Physical Distribution & Logistics Management. DOI: https://doi.org/10.1108/09600030710742416

Speh, T. W. (2009, June). Understanding warehouse costs and risks. In Ackerman Warehousing Forum, 24(7), 1-6.

Staudt, F. H., Alpan, G., Di Mascolo, M., & Rodriguez, C. M. T. (2015). Warehouse performance measurement: a literature review. International Journal of Production Research, 53(18), 5524-5544. DOI: https://doi.org/10.1080/00207543.2015.1030466

Jha, M. K., Raut, R. D., Gardas, B. B., & Raut, V. (2018). A sustainable warehouse selection: an interpretive structural modelling approach. International Journal of Procurement Management, 11(2), 201-232. DOI: https://doi.org/10.1504/IJPM.2018.090025

Bartolini, M., Bottani, E., & Grosse, E. H. (2019). Green warehousing: Systematic literature review and bibliometric analysis. Journal of Cleaner Production, 226, 242-258.

Lee, M. K., & Elsayed, E. A. (2005). Optimization of warehouse storage capacity under a dedicated storage policy. International Journal of Production Research, 43(9), 1785-1805. DOI: https://doi.org/10.1080/13528160412331326496

Reaidy, P. J., Gunasekaran, A., & Spalanzani, A. (2015). Bottom-up approach based on Internet of Things for order fulfillment in a collaborative warehousing environment. International Journal of Production Economics, 159, 29-40. DOI: https://doi.org/10.1016/j.ijpe.2014.02.017

Atieh, A. M., Kaylani, H., Al-Abdallat, Y., Qaderi, A., Ghoul, L., Jaradat, L., & Hdairis, I. (2016). Performance improvement of inventory management system processes by an automated warehouse management system. Procedia Cirp, 41, 568-572. DOI: https://doi.org/10.1016/j.procir.2015.12.122

van Geest, M., Tekinerdogan, B., & Catal, C. (2021). Design of a reference architecture for developing smart warehouses in industry 4.0. Computers in industry, 124, 103343.

Mohsen, & Hassan, M. D. (2002). A framework for the design of warehouse layout. Facilities, 20(13/14), 432-440. DOI: https://doi.org/10.1108/02632770210454377

Suesut, T., Gulphanich, S., Nilas, P., Roengruen, P., & Tirasesth, K. (2004, November). Demand forecasting approach inventory control for warehouse automation. In 2004 IEEE Region 10 Conference TENCON 2004. (pp. 438-441). IEEE.

Singh, M. D., & Kant, R. (2008). Knowledge management barriers: An interpretive structural modeling approach. International Journal of Management Science and Engineering Management, 3(2), 141-150.

Pfohl, H. C., Gallus, P., & Thomas, D. (2011). Interpretive structural modeling of supply chain risks. International Journal of physical distribution & logistics management. DOI: https://doi.org/10.1108/09600031111175816

Aich, S., & Tripathy, S. (2014). An interpretive structural model of green supply chain management in Indian computer and its peripheral industries. International Journal of Procurement Management, 7(3), 239-256. DOI: https://doi.org/10.1504/IJPM.2014.060774

Singhal, D., Tripathy, S., Jena, S. K., Nayak, K. K., & Dash, A. (2018). Interpretive structural modelling (ISM) of obstacles hindering the remanufacturing practices in India. Procedia Manufacturing, 20, 452-457. DOI: https://doi.org/10.1016/j.promfg.2018.02.066

Wang, L., Ai, B., He, D., Li, G., Guan, K., He, R., & Zhong, Z. (2017). Channel characteristics analysis in smart warehouse scenario. In 2017 IEEE International Symposium on Antennas and Propagation & USNC/URSI National Radio Science Meeting (pp. 1417-1418). IEEE. DOI: https://doi.org/10.1109/APUSNCURSINRSM.2017.8072751

Rebelo, C. G. S., Pereira, M. T., Silva, F. J. G., Ferreira, L. P., & Sá, J. C. (2021). The relevance of space analysis in warehouse management. Procedia Manufacturing, 55, 471-478.

Popović, V., Kilibarda, M., Andrejić, M., Jereb, B., & Dragan, D. (2021). A new sustainable warehouse management approach for workforce and activities scheduling. Sustainability, 13(4).

Hajej, Z., Nyoungue, A. C., Abubakar, A. S., & Ali, K. M. (2021). An Integrated Model of Production, Maintenance, and Quality Control with Statistical Process Control Chart of a Supply Chain. Applied Sciences, 11(9), 4192.

Karim, N. H., Rahman, N. S. F. A., Hanafiah, R. M., Hamid, S. A., Ismail, A., & Muda, M. S. (2020). Revising the warehouse productivity measurement indicators: ratio-based benchmark. Maritime Business Review.

Published
2022-05-21
How to Cite
Verma, A., Tripathy, S., & Singhal, D. (2022). The Significance of Warehouse Management in Supply Chain: An ISM Approach. Decision Making: Applications in Management and Engineering. https://doi.org/10.31181/dmame0321052022v
Section
Regular articles