Abstract
Transportation management in today’s consumer goods industry can be characterized by a high proportion of outsourced transportation services. Due to rising freight costs consumer goods manufacturers are looking for opportunities to increase the efficiency of their transportation network. This study presents an operational transportation planning problem typical of the consumer goods industry focusing on a network of suppliers, production facilities and warehousing locations. It comprises an analysis of freight costs in a consumer goods transportation network based on the freight rate structures. In this analysis a number of opportunities for efficiency gains are identified and consolidated in an operative transportation planning problem which is then numerically investigated. Furthermore, an overview of processes and organizational structures in transportation management is given with special focus on the integration of existing commercial Transportation Management Systems (TMS).
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References
Caputo AC, Pelagagge PM, Scacchia F (2003) Integrating transport systems in supply chain management software tools. Ind Manag Data Syst 103:503–515
Caputo AC, Fratocchi L, Pelagagge PM (2005) A framework for analyzing long-range direct shipping logistics. Ind Manag Data Syst 105:876–899
Caputo AC, Fratocchi L, Pelagagge PM (2006) A genetic approach for freight transportation planning. Ind Manag Data Syst 106:719–738
Chan LMA, Muriel A, Shen ZJ, Simchi-Levi D (2002) On the effectiveness of zero-invenotry-ordering policies for the economic lot-sizing model with a class of piecewise linear cost structures. Oper Res 50:1058–1067
Chu CW (2005) A heuristic algorithm for the truckload and less-than-truckload problem. Eur J Oper Res 165:657–667
Crainic T (2000) Service network design in freight transportation. Eur J Oper Res 122:272–288
Crainic TG, Laporte G (1997) Planning models for freight transportation. Eur J Oper Res 97:409–438
Du TW, Wang FK, Lu PY (2007) A real-time vehicle-dispatching system for consolidating milk runs. Transp Res Part E 43:565–577
Golden BL, Assad AAM, Wasil EA (2002) Routing vehicles in the real world: applications in the solid waste, beverage, food, dairy, and newspaper industries. In: Toth P, Vigo D (eds) The vehicle routing problem. Society for Industrial and Applied Mathematics, Philadelphia
Kopfer H (1984) Lösung des Frachtoptimierungsproblems im gewerblichen Güterfernverkehr – Lösungsaufwand versus Lösungsqualität. Dissertation, Universität Bremen [in German]
Kopfer H (1992) Konzepte genetischer Algorithmen und ihre Anwendung auf das Frachtoptimierungsproblem im gewerblichen Güterfernverkehr. OR Spektrum 14:137–147 [in German]
Lapierre SD, Ruiz AB, Soriano P (2004) Designing distribution networks: formulations and solution heuristic. Transp Sci 38:174–187
Liu J, Li CL, Chan CY (2003) Mixed truck delivery systems with both hub-and-spoke and direct shipments. Transp Res Part E 39:325–339
Lütke Entrup M (2005) Advanced planning in fresh food industries. Physica, Heidelberg
McKinnon A, Ge Y, McClelland D (2004) Assessment of the opportunities for rationalising road transport. Logistics Research Centre, Heriot-Watt University, Edinburgh
McLaughlin J, Motwani J, Madan MS, Gunasekaran A (2003) Using information technology to improve downstream supply chain operations: a case study. Busi Process Manag 9:69–80
Meixell MJ, Norbis M (2008) A review of the transportation mode choice and carrier selection literature. Int J Logist Manag 19:182–211
Moore EW, Warmke JM, Gorban LR (1991) The indispensable role of management science in centralizing freight operations at Reynolds Metal Company. Interfaces 21:107–129
Rieksts BQ, Ventura JA (2008) Optimal inventory policies with two modes of freight transportation. Eur J Oper Res 186:576–585
Sahin B, Yilmaz H, Ust Y, Guneri AF, Gulsun B (2009) An approach for analysing transportation costs and a case study. Eur J Oper Res 193:1–11
Savelsbergh MWP, Sol M (1995) The general pickup and delivery problem. Transp Sci 29:17–29
Simons D, Mason R, Gardner B (2004) Overall vehicle effectiveness. Int J Logist Res Appl 7:119–135
Stank TP, Goldsby TJ (2000) A framework for transportation decision making in an integrated supply chain. Supply Chain Manag Int J 5:71–77
Vannieuwenhuyse B, Gelder L, Pintelon L (2003) An online decision support system for transportation mode choice. Logist Inf Manag 16:125–133
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Günther, HO., Seiler, T. Operative transportation planning in consumer goods supply chains. Flex Serv Manuf J 21, 51–74 (2009). https://doi.org/10.1007/s10696-010-9060-5
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DOI: https://doi.org/10.1007/s10696-010-9060-5