Assessment of VSM Scenarios by Simulation of Logistics Systems in Petrochemical Company
الموضوعات :
1 - Department of Industrial Management, Marvdasht Branch,Islamic Azad University, Marvdasht, Iran
الکلمات المفتاحية: Simulation, Optimization, Value Stream Mapping, Logistics Equipment, Material Handling Cost,
ملخص المقالة :
Believe that VSM involves the concurrent improve of processes, organizations, and their supporting information systems to achieve radical improvement in time, cost, quality, and customer’s regard for the company’s products and services. Nowadays, simulation is the most important way to do VSM and improving logistics processes. A time study was performed by measuring the time duration per process and identifying different time drivers from direct observation, interviews and time templates. These results were then consolidated in to a generalized framework (simulated process) that was used to optimize material handling time and cost in logistics processes. In this paper, the process of loading, unloading and movement of the containers, in the firm has been studied. The aim of this study is to determine the maximum efficiency of process and movement equipment’s and also to minimized the cost and time for this purpose. Simulation and VSM processes have been used to study this system regarding the complexities of the logistics processes. At the end by designing and implementing of model in ARENA software, the results of implemented simulation, by study of alternatives have been analyzed. Finally, current optimization leads to increase efficiency inthe firm’s logistics and reduction of approximately 12% of the logistics costs and 35% of process cycle time.
Ahmadi, Alireza; (2007). Work Study, TEHRAN; Iran University Science and Technology.Assessment of VSM Scenarios by Simulation of Logistics Systems in ... 131
Banks, J., "INTRODUCTION TO SIMULATION", Winter Simulation Conference, 1999, PP 7-13.
Brown, Adam; Amundsen, Joseph ; Badurdeen, Fazleena; (2014).Sustainable value stream mapping (Sus-VSM) in different manufacturing system configurations. Journal of Cleaner Production, xxx, 1-16.
Chen, James C.; Cheng, Chen-Huan; Huang, PoTsangB.; (2013). Supply chain management with lean production and RFID application: A case study. ExpertSystems with Applications, 40, 3389-3397.
Diaz-Elsayed, Nancy; Jondral, Annabel; Greinacher, Sebastian; Dornfeld, David; Lanza, Gisela; (2013). Assessment of lean and green strategies by simulation of manufacturing systems in discrete production environments. CIRP Annals-Manufacturing Technology,62, 475-478.
Donselaar, Karel van; Zelst, Susan van; Woensel, Tom van; Broekmeulen, Rob; Fransoo, Jan; (2006). Logistics drivers for shelf stacking in grocery retail stores. International Journal of production economics, 121, PP.620-632, The Netherlands.
Gracanin, Danijela; Buchmeister, Borut; and Lalic, Bojan, (2014). Using Cost-Time Profile for Value Stream Optimization. Procedia Engineering, 69, 1225-1231.
Heydari, Jafar; (2014). Lead time variation control using reliable shipment equipment: An incentive scheme for supply chain coordination. TransportationResearchPart E, 63, 44-58.
Jalali, Ali; (translator) (2007). The integrated management system IMS.[27] TEHRAN: D.A.S. IRAN.
Kelton, David; Saduski, Randal; stark, David; (2011). Simulation with Arena software (Bagheri Mohsen; Sibouyeh Ali; Hejazi Taha hosein; Trans.), Mashhad; publishing Farazyar (original work published 2006).
Parhizgar, Mohsen; Soukhakian, M.Ali; Gerami, Javad; (2013). Shipping Service Optimization in Pars Petrochemical Port-Assalouyeh withUsing Queuing Theory and Simulation. Shiraz Journal of SystemManagement, 4, 1-12.
Por Fritzson, David; Dietersdottir, Kria Susanna; (2012). Analyzing administrative processes in a 3PL company mapping of administrative processes and identification of key time drivers. “Master thesis”, CHALMERS UNIVERSITY OF TECHNOLOGY, Department of Technology Management and Economics, Sweden.
Rathmell, J., Sturrock, D.T., "THE ARENA PRODUCT FAMILY: ENTERPRISE MODELING SOLUTIONS", Winter Simulation Conference, (2002), PP 165-172.
Rushton, Alan; Baker, Peter; Croucher, phil; (2006). The handbook of LOGISTICS and DISTRIBUTION Management; The Chartered Institute of Logistics and Transport. London: United Kingdom.
Shokouhyar, Sajad; (2005). Provide a model policy controls the supply chain work in progress (CONWIP). “Unpublished master’s thesis”, Amir Kabir Industrial University, Tehran.
Tomasini, Rolando M.; Wassenhove, Luk N. Van; (2009). From preparedness to partnerships: case study research on humanitarian logistics, international transaction in operational research, 16, PP549–559.
Venkataraman, K.; Ramnath, B.Vijaya; Kumar, V.Muthu; Elanchezhian, C. (2014). Application of Value Stream Mapping for Reduction of Cycle Time in a Machining Process. ProcediaMaterials Science, 6,1187-1196.
Xin, Jianbin; Negenborn, Rudy R.; Lodewijks, Gabriël; (2014). Energy- aware control for automated container terminals using Integrated flow shop scheduling and optimal control. TransportationResearch Part C, 44, 214-230.
Zandin; (1994). Time measuring through MOST (Arab Shomali; Javid; Trans.),Yazd; Mesbah (original work published 1993).
Zhoua, Wei-Hua; Lee, Chung-Yee; (2009). Pricing and competition in a transportation market with empty equipment repositioning. TransportationResearchPart B, 43, 677-691