Sambracos, Evangelos and Ramfou, Irene (2013): The effect of freight transport time changes on the performance of manufacturing companies.
Preview |
PDF
MPRA_paper_51842.pdf Download (733kB) | Preview |
Abstract
Freight Transport Time (FTT) is an important resource for manufacturing companies, firstly as a cost driver of logistics processes and secondly as a key factor of customer satisfaction. Yet, there is a lot of controversy between researchers regarding the strength of the link between changes in transport time and business performance and the methods used to measure this effect. In this context, the aim of this paper is to estimate the effect that changes in freight transport time have on the economic performance of transport consuming manufacturing companies. With the use of System Dynamics Modelling a simulation model is built identifying the role of FTT in the internal supply chain of a Make to Stock manufacturer. Changes in FTT are introduced in the system affecting the production materials inventory replenishment time and the delivery to consumer time. Simulation results suggest that the effect of FTT changes depend highly on the structure of the company’s decision making process. Through the development and simulation of several scenarios it is evident that information feedback about changes in FTT if interpreted and processed by different decision rules and strategies can lead to different results allowing companies to fruitfully - or not - reap the benefits of improved FTT.
Item Type: | MPRA Paper |
---|---|
Original Title: | The effect of freight transport time changes on the performance of manufacturing companies |
Language: | English |
Keywords: | Freight Transport Time; Manufacturers; Performance; Systems Dynamics. |
Subjects: | C - Mathematical and Quantitative Methods > C6 - Mathematical Methods ; Programming Models ; Mathematical and Simulation Modeling > C63 - Computational Techniques ; Simulation Modeling L - Industrial Organization > L2 - Firm Objectives, Organization, and Behavior > L21 - Business Objectives of the Firm L - Industrial Organization > L6 - Industry Studies: Manufacturing L - Industrial Organization > L9 - Industry Studies: Transportation and Utilities > L91 - Transportation: General O - Economic Development, Innovation, Technological Change, and Growth > O1 - Economic Development > O12 - Microeconomic Analyses of Economic Development |
Item ID: | 51842 |
Depositing User: | E Sambracos |
Date Deposited: | 03 Dec 2013 05:14 |
Last Modified: | 30 Sep 2019 16:28 |
References: | Baumol, W. J. and Vinod, H. D., 1970. An inventory theoretic model of freight transport demand. Management Science, 16(7), pp. 413–421. Coyle, J.J., Novack, R.A., Gibson, B.J., Bardi E.J. 2010. Transportation, A Supply Chain Perspective. 7th Edition, South-Weastern Cengage Learning, OH, USA. Danielis R., Marcucci E., Rotaris L., 2005. ‘Logistics Managers’ Stated Preferences for Freight Service Attributes’, Transportation Research Part E: Logistics and Transportation Review, Volume 41, Issue 3, pp: 201-215. De Jong, G. D., 2000. Value of Freight Transportation Time Savings’, Hensher D.A. and Button K. J., Handbook of Transport Modelling, Emerald Group Publishing, pp. 553-564 Feo-Valero, M., García-Menéndez, L. and Garrido-Hidalgo, R., 2011. Valuing freight transport time using transport demand modeling: A bibliographical review. Transport Reviews, Vol. 31, No. 5, 625–651. Grobler, Α. and Schieritz, Ν., 2005, ‘Of Stocks, Flows, Agents and Rules – ”Strategic” Simulations’ IN Kotzab, Η., Westhaus Μ., Seuring, S. A., Muller, M., Reiner, G., (Editors) Supply Chain Research Methodologies in Supply Chain Management, Physica-Verlag, pp. 445-461 Hensher, D.A., 2010. Hypothetical Bias, Choice Experiments and Willingness to Pay Transportation Research Part B, 44, pp.735–752 Hensher, D.A., Rose J., Greene W. H., 2005. The Implications on Willingness to Pay of Respondents Ignoring Specific Attributes, Transportation (2005), 32, pp. 203–222. 15 Massiani, J., 2003. Benefits of transportation time savings for freight transportation: Beyond the Costs, Paper presented at the European Regional Science Association Congress, available at: http://www-sre.wu-wien.ac.at/ersa/ersaconfs/ersa03/cdrom /abstracts/a388.html (accessed 1/2012). Mohring, H., Williamson, H.F., 1969. Scale and Industrial Reorganization Economies of Transport Improvements. Journal of Transport Economics and Policy, 3 (3), pp. 251-272. Morecroft J., 2007, Strategic Modelling and Business. Dynamics. A Feedback Systems Approach. John Wiley & Sons, Chichester, UK. Morikawa, T., 1994. Correcting State Dependence and Serial Correlation in the RP/SP Combined Estimation Method, Transportation 21, pp.153-165. Odgaard, T., Kelly, C. E. and Laird, J. J., 2005.Current Practice in Project Appraisal in Europe—Analysis of Country Reports. HEATCO Work Package No. 3 (Stuttgart: IER). Ortúzar, J. de D. and Willumsen, L. G., 2001. Modelling Transport, 4th Edition, Wiley, UK. Porter, M. E. 1990. The Competitive Advantage of Nations. New York: The Free Press. Porter, M., Delgado, M., Ketels, Ch. and Stern, S., 2008. Moving to a New Global Competitiveness Index In World Economic Forum. 2007. The Global Competitiveness Report 2007–2008. Geneva: World Economic Forum. Porter, M., Ketels, Ch. and Delgado, M., 2007. The Microeconomic Foundations of Prosperity: Findings from the Business Competitiveness Index In World Economic Forum. 2007. The Global Competitiveness Report 2007–2008. Geneva: World Economic Forum. Ramfou, I. 2012. Freight transportation as an inductive phenomenon of organisational performance. Phd Thesis, University of Piraeus. Sambracos E. and Ramfou, I. 2013. Freight Transport Time Savings and Organizational Performance: A Systemic Approach, International Journal of Economic Sciences and Applied Research (IJESAR), vol. 6(1), 19-40. Sterman J., 2000. Business Dynamics, Systems Thinking and Modeling for a Complex World. Irwin McGraw-Hill, USA. Tavasszy, L.A, 2008. Measuring Value of Time in Freight Transport: A Systems Perspective. Ben-Akiva, M., Meersman, H. and Van de Voorde, E, Recent Developments in Transport Modelling, Lessons for the Freight Sector, Emerald Group Publishing. Tavasszy, L.A. and Bruzelius, N., 2005. The Value of Freight Transport Time: A Logistics Perspective – State of the Art and Research Challenges. Round Table 127: Time and Transport, OECD/ECMT, Paris. US Department of Transport (US DOT) Federal Highway Administration (FHWA), 2001. Freight Benefit/Cost Study White Paper Benefit-Cost Analysis of Highway Improvements in Relation to Freight Transportation: Microeconomic Framework (Final Report) Presented by the AECOM Team: ICF Consulting, HLB Decision Economics, Louis Berger Group, USA. US Department of Transport (US DOT) Federal Highway Administration (FHWA), 2004. Freight Transportation Improvements and the Economy. Washington, DC, USA. Winston, C., 1983. The demand for freight transportation: models and applications, Transportation, Research Part A, 17(6), pp. 419–427. World Economic Forum. 2011. The Global Competitiveness Report 2011–2012. Geneva: World Economic Forum Zamparini, L., and Reggiani A., 2007. Freight Transport and the Value of Transportation Time Savings: A Meta-analysis of Empirical Studies, Transport Reviews, 27: 5, 621 – 636 |
URI: | https://mpra.ub.uni-muenchen.de/id/eprint/51842 |