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Network Redesign in Turkey: The Supply, Production, and Distribution of Malt and Beer

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Handbook of Global Logistics

Abstract

In this chapter, we consider a network redesign problem that contains decision problems of opening new malt plants and breweries in order to increase the malt and beer production capacities of a Turkish corporation, Efes Beverage Group. We briefly discuss several beer logistics applications in Turkey and other countries, and some location applications in Turkey. Some attention is also given to the overall status of logistics in Turkey. We construct a mixed integer programming model for the multi-period, multi-item, multi-level capacitated facility location/relocation problem of Efes. The model determines the locations of new malt plants and breweries as well as the distribution decisions for barley, malt, and different types of beer while minimizing fixed costs and annual transportation costs. We suggest a procedure to set effective capacities of breweries due to seasonality of demand. We solve the model under different parameter settings in order to obtain a variety of solutions that the decision makers may find useful. We discuss our results and experiences from this application process.

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Notes

  1. 1.

    LPI is based on standard statistical techniques to aggregate the data into a single indicator (Arvis et al. 2010).

  2. 2.

    These areas are ‘efficiency of the customs clearance process’, ‘quality of trade and transport-related infrastructure’, ‘ease of arranging competitively priced shipments’, ‘competence and quality of logistics services’, ‘ability to track and trace consignments’, and ‘frequency with which shipments reach the consignee within the scheduled or expected time’(Arvis et al. 2010).

References

  • Agaran B, Aktas E, Ulengin F, Onsel S, Kabak Ö (2010) A comprehensive analysis of the logistics sector in Turkey to identify the requirements for technological improvement”, The 12th World Conference on Transport Research, Lisbon, Portugal

    Google Scholar 

  • Alumur S, Kara BY (2009) A hub covering network design problem for cargo applications in Turkey. J Oper Res Soc 60:1349–1359

    Article  Google Scholar 

  • Arvis JF, Mustra AM, Ojala L, Shepherd B, Saslavsky D (2010) Connecting to compete 2010: trade logistics in the global economy, The World Bank, Washington

    Google Scholar 

  • Beer Serves America (2009). http://www.beerservesamerica.org/.Accessed on Feb 28 2011

  • Beugelsdijk S, Slangen A, van Herpen M (2002) Shapes of organizational change: the case of Heineken Inc. J Organizational Change Manage 15(3):311–326

    Google Scholar 

  • Bommer M, O’Neil B, Treat S (2001) Strategic assessment of the supply chain interface: a beverage industry case study. Int J Phys Distrib Logistics Manage 31(1):11–25

    Article  Google Scholar 

  • Bookbinder JH, Tan CS (2003) Comparison of Asian and European logistics systems. Int J Phys Distrib Logistics Manage 33(1):36–58

    Article  Google Scholar 

  • Bozkaya B, Yanik S, Balcisoy S (2010) A GIS-based optimization framework for competitive multi-facility location-routing problem. Netw Spat Econ 10(3):297–320

    Article  Google Scholar 

  • Breen L (2006) Give me back my empties or else! A preliminary analysis of customer compliance in reverse logistics practices (UK). Manage Res News 29(9):532–551

    Article  Google Scholar 

  • Brewers Association of Canada, 2009. http://www.brewers.ca/. Accessed on March 28 2011

  • Carroll GR, Swaminathan A (2000) Why the microbrewery movement? Organizational dynamics of resource partitioning in the U.S. brewing industry, Am J Sociol 106(3) 715–762

    Article  Google Scholar 

  • Çetiner S, Sepil C, Süral H (2010) Hubbing and routing in postal delivery systems. Ann Oper Res 181:109–124

    Article  Google Scholar 

  • Demirel T, Demirel NÇ, Kahraman C (2010) Multi-criteria warehouse location selection using Choquet integral. Expert Syst Appl 37:3943–3952

    Article  Google Scholar 

  • Duran F (1987) A large mixed integer production and distribution program. Eur J Oper Res 28(2):207–217

    Article  Google Scholar 

  • Efes Beverage Group, Anadolu Efes (2009). http://www.anadoluefes.com. Accessed on Jan 22 2010

  • Erden T, Coskun MZ (2010) Multi-criteria site selection for fire services: the interaction with analytic hierarchy process and geographic information systems. Nat Hazards Earth Syst Sci 10:2127–2134

    Article  Google Scholar 

  • Gelders LF, Pintelon LM, Van Wassenhove LN (1987) A location-allocation problem in a large Belgian brewery. Eur J Oper Res 28(2):196–206

    Article  Google Scholar 

  • Houthoofd N, Heene A (1997) Strategic groups as subsets of strategic scope groups in the Belgian brewing industry. Strateg Manage J 18(8):653–666

    Article  Google Scholar 

  • Kant G, Jacks M, Aantjes C (2008) Coca-Cola enterprises optimizes vehicle routes for efficient product delivery. Interfaces 38(1):40–50

    Article  Google Scholar 

  • Kioulafas KE (1985) An application of multiple regression analysis to the Greek beer market. J Oper Res Soc 36(8):689–696

    Google Scholar 

  • Klose A, Drexl A (2005) Facility location models for distribution system design. Eur J Oper Res 162(1):4–29

    Article  Google Scholar 

  • Köksalan M, Erkip N, Moskowitz H (1999) Explaining beer demand: A residual modeling regression approach using statistical process control. Int J Prod Econ 58:265–276

    Article  Google Scholar 

  • Köksalan M, Özpeynirci BS, Süral H (2010) Forecasting beer demand at Anadolu Efes. INFORMS Trans Edu 10(3):140–145

    Article  Google Scholar 

  • Köksalan M, Süral H (1999) Location and distribution decisions: an application for malt plants. Interfaces 29:89–103

    Article  Google Scholar 

  • Köksalan M, Süral H, Kırca Ö (1995) A location-distribution application for a beer company. Eur J Oper Res 80(1):16–24

    Article  Google Scholar 

  • Lenten LJA, Moosa IA (1999) Modelling the trend and seasonality in the consumption of alcoholic beverages in the United Kingdom. Appl Econ 31:795–804

    Article  Google Scholar 

  • Melo MT, Nickel S, Saldanha-da-Gama F (2006) Dynamic multi-commodity capacitated facility location: a mathematical modeling framework for strategic supply chain planning. Comput Oper Res 33:181–208

    Article  Google Scholar 

  • Melo MT, Nickel S, Saldanha-da-Gama F (2009) Facility location and supply chain management—a review. Eur J Oper Res 196:401–412

    Article  Google Scholar 

  • Niederhut-Bollmann C, Theuvsen L (2008) Strategic management in turbulent markets: the case of the German and Croatian brewing industries. J East Eur Manage Stud 13(1):63–88

    Google Scholar 

  • Pamuk S, Köksalan M, Güllü R (2004) Analysis of the product delivery system of a beer producer in Ankara. J Oper Res Soc 55:1137–1144

    Article  Google Scholar 

  • Ramirez-Beltran ND (1995) Integer programming to minimize labour costs. J Oper Res Soc 46(2):139–146

    Google Scholar 

  • Sass TR (2005) The competitive effects of exclusive dealing: Evidence from the U.S. beer industry. Int J Ind Organization 23:203–225

    Article  Google Scholar 

  • Schoenherr T (2009) Logistics and supply chain management applications within a global context: an overview. J Bus Logistics 30(2):1–25

    Article  Google Scholar 

  • Şahin G, Süral H (2007) A review of hierarchical facility location models. Comput Oper Res 34:2310–2331

    Article  Google Scholar 

  • Şahin G, Süral H, Meral S (2007) Location analysis for regionalization of TRC blood services. Comput Oper Res 34:692–704

    Article  Google Scholar 

  • Tan PZ, Kara BY (2007) A hub covering model for cargo delivery systems. Networks 49:28–39

    Article  Google Scholar 

  • The Beer Institute (2009) Presentations 2008 Annual Industry Update—June. http://www.beerinstitute.org/. Accessed on Feb 28 2011

  • The Brewers of Europe (2010). http://www.brewersofeurope.org/. Accessed on Feb 28 2011

  • Ulengin F, Nuray N (1999) Current perspectives in logistics: Turkey as a case study. Int J Phys Distrib Logistics Manage 29(1):22–49

    Article  Google Scholar 

  • Vrontis D (1998) Strategic assessment: the importance of branding in the European beer market. Brit Food J 100(2):76–84

    Article  Google Scholar 

  • Warner AG (2010) The evolution of the American brewing Industry. J Bus Case Stud 6(6):31–46

    Google Scholar 

Download references

Acknowledgments

We thank S. Bölükbaşı, L. Tomaç and A. Atılır from Efes for their excellent guidance and support throughout the current work. We are also grateful to James Bookbinder for his comments that substantially improved this manuscript.

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Correspondence to Haldun Süral .

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Köksalan, M., Süral, H., Özpeynirci, S. (2013). Network Redesign in Turkey: The Supply, Production, and Distribution of Malt and Beer. In: Bookbinder, J. (eds) Handbook of Global Logistics. International Series in Operations Research & Management Science, vol 181. Springer, New York, NY. https://doi.org/10.1007/978-1-4419-6132-7_11

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