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A genetic algorithm for minimizing energy consumption in warehouses

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  • Ene, Seval
  • Küçükoğlu, İlker
  • Aksoy, Aslı
  • Öztürk, Nursel

Abstract

Green supply chain management is generally defined as integration of green thinking and environmental issues into the whole supply chain operations like product design, manufacturing process, warehousing, distribution etc. Within this context green principles should be adopted in warehouse management to minimize negative impact on the environment. In warehouse operations, picking must be analyzed attentively which is widely studied in literature for minimizing service time levels because of its close relation to the higher costs. The efficiency of picking in warehouses mainly depends on storage assignment policy that directly affects picking performance in warehouses. In this paper, picking operation in warehouses is studied to minimize energy consumption with proper storage policy other than service time. Genetic algorithm (GA) is proposed to solve the problem and numerical examples are presented to demonstrate the performance of the GA. Results show that, the GA gives efficient solutions to the problem.

Suggested Citation

  • Ene, Seval & Küçükoğlu, İlker & Aksoy, Aslı & Öztürk, Nursel, 2016. "A genetic algorithm for minimizing energy consumption in warehouses," Energy, Elsevier, vol. 114(C), pages 973-980.
    • Handle: RePEc:eee:energy:v:114:y:2016:i:c:p:973-980
    DOI: 10.1016/j.energy.2016.08.045
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    References listed on IDEAS

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    1. Gu, Jinxiang & Goetschalckx, Marc & McGinnis, Leon F., 2007. "Research on warehouse operation: A comprehensive review," European Journal of Operational Research, Elsevier, vol. 177(1), pages 1-21, February.
    2. Muppani (Muppant), Venkata Reddy & Adil, Gajendra Kumar, 2008. "Efficient formation of storage classes for warehouse storage location assignment: A simulated annealing approach," Omega, Elsevier, vol. 36(4), pages 609-618, August.
    3. Rai, Deepak & Sodagar, Behzad & Fieldson, Rosi & Hu, Xiao, 2011. "Assessment of CO2 emissions reduction in a distribution warehouse," Energy, Elsevier, vol. 36(4), pages 2271-2277.
    4. Petersen, Charles G. & Aase, Gerald, 2004. "A comparison of picking, storage, and routing policies in manual order picking," International Journal of Production Economics, Elsevier, vol. 92(1), pages 11-19, November.
    5. Amulya Gurtu & Cory Searcy & M.Y. Jaber, 2015. "An analysis of keywords used in the literature on green supply chain management," Management Research Review, Emerald Group Publishing Limited, vol. 38(2), pages 166-194, February.
    6. A.M.A. El Saadany & M.Y. Jaber & M. Bonney, 2011. "Environmental performance measures for supply chains," Management Research Review, Emerald Group Publishing Limited, vol. 34(11), pages 1202-1221, October.
    7. de Koster, Rene & Le-Duc, Tho & Roodbergen, Kees Jan, 2007. "Design and control of warehouse order picking: A literature review," European Journal of Operational Research, Elsevier, vol. 182(2), pages 481-501, October.
    8. Johnson, Eric, 2008. "Disagreement over carbon footprints: A comparison of electric and LPG forklifts," Energy Policy, Elsevier, vol. 36(4), pages 1569-1573, April.
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