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Classification and modeling for in-plant milk-run distribution systems

  • Huseyin Selcuk Kilic
  • M. Bulent Durmusoglu
  • Murat Baskak
ORIGINAL ARTICLE

Abstract

Material handling is one of the most important issues that should be taken into account for eliminating waste and reducing the cost. It is one of the seven wastes defined in the concept of lean manufacturing. In this study, for a lean material handling system under the lean manufacturing conditions such as pull-based and repetitive manufacturing, a system consisting of periodically moving vehicles in certain routes is taken into consideration. This system is also called milk-run distribution system. Application of milk-run distribution systems in plants standardizes the material handling system and eliminates the waste. Although there are huge numbers of studies related with inbound and outbound logistics, there are few studies especially related with milk-run applications in the manufacturing area. Within this study, based on the observations in real manufacturing environment and limited literature, the milk-run distribution problem in the plants is categorized and explained. For one of the main categories, modeling is performed. The objective of the developed models is to minimize the number of vehicles and the distance traversed. A numerical example inspired by real applications is presented for showing the applicability of the developed models.

Keywords

In-plant milk-run Classification of milk-run systems 0–1 mixed integer mathematical programming 

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References

  1. 1.
    Ohno T (1988) Toyota production system: beyond large-scale production. Productivity Press, CambridgeGoogle Scholar
  2. 2.
    Drira A, Pierreval H, Hajri-Gabouj S (2007) Facility layout problems: a survey. Annu Rev Contr 31:255–267CrossRefGoogle Scholar
  3. 3.
    Hiregoudar C, Reddy BR (2007) Facility planning & layout design: an industrial perspective. Technical Publications Pune, IndiaGoogle Scholar
  4. 4.
    Stephens MP, Meyers FE (2010) Manufacturing facilities: design & material handling. Pearson, USAGoogle Scholar
  5. 5.
    Sule D (1994) Manufacturing facilities. PWS Publishing Company, BostonGoogle Scholar
  6. 6.
    Heragu SS (2008) Facilities design. CRC Pressing, USAGoogle Scholar
  7. 7.
    Baudin M (2004) Lean logistics: the nuts and bolts of delivering materials and goods. Productivity Press, New YorkGoogle Scholar
  8. 8.
    Chase RB, Aquilano NJ, Jacobs FR (1998) Production and operations management-manufacturing and services. Irwin McGraw-Hill, USAGoogle Scholar
  9. 9.
    Akıllıoğlu AH, Baydoğan MG, Bolatlı Y, Canbaz D, Halıcı A, Sezgin Ö, Özdemirel NE, Türkcan A (2006) Pull-based milk-run distribution system design for a firm producing diesel injectors (Turkish: Dizel Enjektör Üretimi Yapan Bir Şirket İçin Fabrika İçi Çekme Esaslı Tekrarlı Dağıtım Sistemi Tasarımı). Ind Eng J (Turkish: Endüstri Mühendisliği Dergisi) 17(3):2–15Google Scholar
  10. 10.
    Domingo R, Alvarez R, Pena MM, Calvo R (2007) Materials flow improvement in a lean assembly line: a case study. Assemb Autom 27(2):141–147CrossRefGoogle Scholar
  11. 11.
    Vaidyanathan BS, Matson JO, Miller DM, Matson JE (1999) A capacitated vehicle routing problem for just in time delivery. IIE Trans 31:1083–1092Google Scholar
  12. 12.
    Ekşioğlu B, Vural AV, Reisman A (2009) The vehicle routing problem: a taxonomic review. Comput Ind Eng 57:1472–1483CrossRefGoogle Scholar
  13. 13.
    Rajagopalan S, Heragu SS (1997) Advances in discrete material handling system design. Decision Sciences and Engineering Systems Department, USAGoogle Scholar
  14. 14.
    Hu GH, Chen YP, Zhou ZD, Fang HC (2007) A genetic algorithm for the inter-cell layout and material handling system design. Int J Adv Manuf Technol 34:1153–1163CrossRefGoogle Scholar
  15. 15.
    Hwang HS (2004) Heuristic transporter routing model for manufacturing facility design. Comput Ind Eng 46:243–251CrossRefGoogle Scholar
  16. 16.
    Sayarshad HR (2010) Using bees algorithm for material handling equipment planning in manufacturing systems. Int J Adv Manuf Technol 48:1009–1018CrossRefGoogle Scholar
  17. 17.
    Beamon BM, Deshpande AN (1998) A mathematical programming approach to simultaneous unit-load and fleet-size optimization in material handling systems design. Int J Adv Manuf Technol 14:858–863CrossRefGoogle Scholar
  18. 18.
    Chakraborty S, Banik D (2006) Design of a material handling equipment selection model using analytic hierarchy process. Int J Adv Manuf Technol 28:1237–1245CrossRefGoogle Scholar
  19. 19.
    Onut S, Kara SS, Mert S (2009) Selecting the suitable material handling equipment in the presence of vagueness. Int J Adv Manuf Technol 44:818–828CrossRefGoogle Scholar
  20. 20.
    Kulak O (2005) A decision support system for fuzzy multi attribute selection of material handling equipments. Expert Syst Appl 29:310–319CrossRefGoogle Scholar
  21. 21.
    Mirhosseyni SHL, Webb P (2009) A hybrid fuzzy knowledge-based expert system and genetic algorithm for efficient selection and assignment of material handling equipment. Expert Syst Appl 36:11875–11887CrossRefGoogle Scholar
  22. 22.
    Costa B, Dias LS, Oliveira JA, Pereira G (2008) Simulation as a tool for planning a material delivery system to manufacturing lines. Engineering Management Conference IEEE International (978-1-4244-2288-3)Google Scholar
  23. 23.
    Sharma S (2008) Theory of exchange. Eur J Oper Res 186:128–136zbMATHCrossRefGoogle Scholar
  24. 24.
    Sharma S (2009) Extending Sanjay Sharma's theory of exchange. Int J Appl Manag Sci 1(4):325–339CrossRefGoogle Scholar
  25. 25.
    Sharma S (2009) Single/multiple parameter swapping in the context of Sanjay Sharma’s theory of exchange. Int J Adv Manuf Technol 40(5–6):629–635CrossRefGoogle Scholar

Copyright information

© Springer-Verlag London Limited 2012

Authors and Affiliations

  • Huseyin Selcuk Kilic
    • 1
  • M. Bulent Durmusoglu
    • 2
  • Murat Baskak
    • 2
  1. 1.Department of Industrial EngineeringMarmara UniversityIstanbulTurkey
  2. 2.Department of Industrial EngineeringIstanbul Technical UniversityİstanbulTurkey

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