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Optimization in logistics for supply chain management of an automobile industry using Fuzzy DEMATEL matrix method

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Języki publikacji
EN
Abstrakty
EN
Industrial engineers always want to implement optimization techniques in all activities performed in an organization, which is only possible by synchronizing multiple activities of each department, and combining it in a way, which is optimized as per efficiency, effectiveness, productivity and profit are concerned. Organization plant managers and logistics providers have long been dissatisfied with extensive waiting times and severe on-site traffic congestion. This research paper highlights activities of logistics management in this organization which covers activities like determination of supply chain driver affecting logistics and supply chain management of an organization, analysis of current vehicles freights which particularly involves number of freights per day, checking how effectively collection plan needs are fulfilled by current vehicles running, implementation of new techniques to improve present working system, scheduled such that the total weighted tardiness is minimized, initiation of practices which organization has to do for withstanding sustainability in logistics management, estimation of cost saving from implementation of new techniques and checking feasibility of conducting these activities repetitively in long run.
Twórcy
autor
  • Department of Industrial and Production Engineering, Shri G.S. Institute of Technology & Science, Indore - 452003, (M.P.) India
autor
  • Department of Industrial and Production Engineering, Shri G.S. Institute of Technology & Science, Indore - 452003, (M.P.) India
Bibliografia
  • Akyuz, E., & Celik, E. (2015). A fuzzy DEMATEL method to evaluate critical operational hazards during gas freeing process in crude oil tankers. Journal of Loss Prevention in the Process Industries, 38, 243-253.
  • Bolstorff, P. (2007). Supply Chain Excellence. AMACOM.
  • Bowersox, D. J., Closs, D. J., & Cooper, M. B. (2002). Supply chain logistics management. Boston, Mass.: McGraw-Hill.
  • Chopra, S. (2013). Understanding the supply chain. Transportation Research Part E: Logistics and Transportation Review, page 1.
  • Dubey, R., & Samar Ali, S. (2013). An exploratory study on logistics competency and firm performance. International Journal of Logistics Systems and Management, 14(2), 179-199.
  • Gattorna, J. L. (1992). Logistics networks: achieving quantum improvements in cost/service equations. International Journal of Physical Distribution & Logistics Management, 22(6), 31.
  • Glock, C. H., Grosse, E. H., Neumann, W. P., & Sgarbossa, F. (2017). Human factors in industrial and logistic system design. Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
  • Grosse, E. H., & Glock, C. H. (2015). The effect of worker learning on manual order picking processes. International Journal of Production Economics, 170, 882-890.
  • Hua, Z. C., Xin, H., & Wei, Z. (2014). Logistics distribution routing optimization algorithm. In Applied Mechanics and Materials (Vol. 513, pp. 1740-1743). Trans Tech Publications Ltd.
  • Kumar, G. S., & Shirisha, P. (2014). Transportation the key player in logistics management. Journal of business management & social sciences research, 3(1), 14-20.
  • Li, R. J. (1999). Fuzzy method in group decision making. Computers & Mathematics with Applications, 38(1), 91-101.
  • Lin, R. J. (2013). Using fuzzy DEMATEL to evaluate the green supply chain management practices. Journal of Cleaner Production, 40, 32-39.
  • Mentes, A., Akyildiz, H., & Helvacioglu, I. (2014). A grey based dematel technıque for risk assessment of cargo ships. In Proceedings of the 7th International Conference on Model Transformation ICMT.
  • Parkan, C., & Dubey, R. (2009). Recent developments in the practice of supply chain management and logistics In India. Portuguese Journal of Management Studies, 14(1), 71-88.
  • Petersen, C. G., & Aase, G. (2004). A comparison of picking, storage, and routing policies in manual order picking. International Journal of Production Economics, 92(1), 11-19.
  • Roodbergen, K. J., & Vis, I. F. (2009). A survey of literature on automated storage and retrieval systems. European journal of operational research, 194(2), 343-362.
  • Shaik, M. N., & Abdul-Kader, W. (2013). Transportation in reverse logistics enterprise: A comprehensive performance measurement methodology. Production Planning & Control, 24(6), 495-510.
  • Tracey, M. (1998). The importance of logistics efficiency to customer service and firm performance. The International Journal of Logistics Management, 9(2), 65-81.
  • Tsai, S. B., Chien, M. F., Xue, Y., Li, L., Jiang, X., Chen, Q., ... & Wang, L. (2015). Using the fuzzy DEMATEL to determine environmental performance: a case of printed circuit board industry in Taiwan. PloS one, 10(6), e0129153. https://doi.org/10.1371/journal.pone.0129153.
  • (US Patent No. US 2016/0001991 A1, 2016).
  • (US Patent No. US 10, 266, 351 B2, 2018).
  • (US Patent No. US 10, 059, 537 B2, 2017).
Uwagi
PL
Opracowanie rekordu ze środków MNiSW, umowa Nr 461252 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2020).
Typ dokumentu
Bibliografia
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