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Proposal and verification of improvement measures to raise operational efficiency in distribution centers (本文)

角, 晴美子 慶應義塾大学

2022.03.23

概要

The role of distribution centers has expanded these days from a burden that does not produce any profit but cost to a place that adds value to supply chain management. Since each sector such as factories has faced its limit of productivity, the efficiency in supply chain has been reconsidered. Also, due to the development of the Internet, information may now be transferred quickly, and distribution centers have become the origin of competition. Under these backgrounds in recent logistics environments, this research investigated measures to improve operational efficiency in distribution centers and verified their performances.

In this research, improving work efficiency in distribution centers has been considered by categorizing into two types: transfer-type and inventory-type. In the former, items received from multiple producers are stored temporarily and redistributed towards next destinations. In the latter, items are stored as inventories beforehand, and they are picked up and shipped to them according to the order of customers. Measures to improve work efficiency in both types of distribution centers are suggested and the travel distance of items is mainly evaluated using mathematical models.

Regarding the efficiency improvement in transfer-type distribution centers, arrival and shipping dates of items are utilized to determine the storage location of items. Under both situations where arrival and shipping dates of items in the whole planning horizon are known beforehand and where they are uncertain are discussed. In the former, properties obtained with greedy policies to determine storage locations of items have also been proved and investigated. In the latter, a greedy policy which utilizes arrival dates of items is improved to determine the storage locations

Regarding the efficiency improvement in inventory-type distribution centers, changing floor layout and implementing class based storage are considered. ①Inserting a diagonal aisle to access more directly to the destination, ②replacing the entrance/exit to shorten travel distance of items, and ③introducing class based storage locations based on the demand of items are suggested, and the performances are compared. Then implementing them at the same time has been discussed for further improvements.

Under the situation that improvements in distribution centers have stronger effects on supply chain management these days, this study has evaluated the improvement measures of distribution centers using mathematical models. The results may give suggestions when selecting which measures to introduce in distribution centers.

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参考文献

[1] Ramaa, A., Subramanya, K. N. and Rangaswamy, T. M. (2012) ‘Impact of Warehouse Management System in a Supply Chain’, International Journal of Computer Applications, Vol. 54, No. 1, pp. 14-20.

[2] Faber, N., De Koster, R. B. M. and Van de Velde, S. L. (2002) ‘Linking warehouse complexity to warehouse planning and control structure’, International Journal of Physical Distribution & Logistics Management, Vol. 32, No. 5, pp. 381-395.

[3] Christopher, M. (1992) ‘Logistics and Supply Chain Management, London’, Pitman Publishing, pp. 1-25.

[4] Romano, P. and Vinelli, A. (2001) ‘Quality management in a supply chain perspective Strategic and operative choices in a textile apparel network’, International Journal of Operations & Production Management, Vol. 21, No. 4, pp. 446-460.

[5] Manzini, R. and Accorsi, R. (2012) ‘The new conceptual framework for food supply chain assessment’, Journal of Food Engineering, Vol. 115, pp. 251-263.

[6] Sainathuni, B., Parikh, P. J., Zhang, X. and Kong, N. (2014), ‘The warehouse-inventorytransportation for supply chains’, European Journal of Operational Research, Vol. 237, pp. 690- 700.

[7] Gue, K., Ivanović, G. and Meller, R.D. (2012) ‘A unit-load warehouse with multiple pickup and deposit points and non-traditional aisles’, Transportation Research Part E: Logistics and Transportation Review, Vol. 48, No. 4, pp. 795-806.

[8] ELA/AT Kearney. (2004) ‘Excellence in Logistics 2004’, ELA, Brussels, pp. 1-36.

[9] Andereoli, D., Goodchild, A. and Vitasek, K. (2010) ‘The rise of mega distribution centers and the impact of logistical uncertainity’, The International Journal of Transportation Research, Vol. 2, pp. 75-88.

[10] De Koster, R., Johnson, A. and Roy, D. (2017) ‘Warehouse design and management’, International Journal of Production Research, Vol. 55, No. 21, pp. 6327-6330.

[11] Çelk, M. and Süral, H. (2014) ‘Order picking under random and turnover-based storage policies in fishbone aisle warehouses’, IIE Transactions, Vol. 46, No. 3, pp. 283.- 300.

[12] Öztürkoğlu, Ö., Gue, K. and Meller, R. (2014) ‘A constructive aisle design model for unit-load warehouses with multiple pickup and deposit points’, European Journal of Operational Research, Vol. 236, No. 1, pp. 382- 394.

[13] Vrysagotis, V. and Kontis, P. A. (2011) ‘Warehouse layout problems: Types of problems and solution algorithms’, Journal of Computations &Modelling, Vol. 1, No. 1, pp. 1792-7625.

[14] Petersen, C.G. and Aase, G. (2017) ‘Improving Order Picking Efficiency with the Use of Cross Aisles and Storage Policies’, Open Journal of Business and Management, Vol. 5, No. 1, pp. 95- 104.

[15] De Koster, R., Le-Duc, T. and Roodbergen, K.J. (2007) ‘Design and control of warehouse order picking: A literature review’, European Journal of Operational Research, Vol. 182, No. 2, pp. 481-501.

[16] Frazelle, E, H. (2002) ‘World-class Warehousing and Material Handling’, McGraw-Hill, NewYork, NY, pp. 257-290.

[17] Staudt, F. H., Alpan, G., Mascolo, M. D. and Rodriguez, C. M. T. (2015) ‘Warehouse performance measurement: a literature review’, International Journal of Production Research, Vol. 53, No. 18, pp. 5524-5544.

[18] Custodio, L. and Machado, R. (2020) ‘Flexible automated warehouse: a literature review and an innovative framework’, The International Journal of Advanced Manufacturing Technology, Vol. 106, pp. 533-558.

[19] Lim, M. K., Bahr, W. and Leung, S. C. H. (2013) ‘RFID in the warehouse: A literature analysis (1995-2010) of its applications, benefits, challenges and future trends’, International Journal of Production Economics, Vol. 145, pp. 409-430.

[20] Weidinger, F., Boysen, N. and Briskorn, D. (2018)’Storage Assignment with Rack-Moving Mobile Robots in KIVA Warehouses’, Transportation Science, Vol. 52, No. 6, pp. 1479-1495.

[21] González, F., Guarnizo, J. and Benavides, G. (2014), ‘Emulation System for a Distribution Center Using Mobile Robot, Controlled by Artificial Vision and Fuzzy Logic’, IEEE Latin America Transactions, Vol. 12, No. 4, pp. 557-563.

[22] Öncan, T. (2013) ‘A Genetic Algorithm for the Order Batching Problem in Low-Level Pickerto-Part Warehouse Systems’, International Multi Conference of Engineers and Computer Scientists, Vol. 1.

[23] Gu, J., Goetschalckx, M. and McGinnis, L. (2007) ‘Research on warehouse operation: A comprehensive review’, European Journal of Operational Research, Vol. 177, No. 1, pp. 1-21.

[24] Reyes, J., Solano-Charris, E. and Montoya-Torres, J. (2019) ‘The storage location assignment problem: A literature review,’ International Journal of Industrial Engineering Computations, Vol. 10, No. 2, pp. 199-224.

[25] Goetschalckx, M. and Ratliff, H. (1990) ‘Shared Storage Policies based on the duration of stay of unit loads’, Management Science, Vol. 36, No. 9, pp. 1120-1132.

[26] Chen, L., Langevin, A. and Riopel, D. (2010) ‘The storage location assignment and interleaving problem in an automated storage/retrieval system with shared storage’, International Journal of Production Research, Vol. 48, No. 4, pp. 991- 1011.

[27] Kulturel, S., Ozdemirel, N,E., Sepil, C. and Bozkurt, Z. (1999) ‘Experimental investigation of shared storage assignment policies in automated storage/retrieval systems’, IIE transactions, Vol. 31, No. 8, pp. 739–749.

[28] Li, M.L., Wolf, E. and Wintz, D. (2020) ‘Duration-of-stay storage assignment under uncertainty’, International Conference on Learning Representations 2020.

[29] Xu, J., Lim, A., Shen, C. and Li, H., (2008) ‘A Heuristic Method for Online Warehouse Storage Assignment Problem,’, IEEE International Conference.

[30] Gagliardi, J. P., Ruiz. A. and Renaud, J. (2008) ‘Space allocation and stock replenishment synchronization in a distribution center’, International Journal of Production Economics, Vol. 115, pp. 19-27.

[31] Murthy, N. N., Benton, W. C. and Rubin, P.A. (2003) ‘Offsetting inventory cycles of items sharing storage,’ European Journal of Operational Research, Vol. 150, pp. 304-319.

[32] Zhao,Y., Shi, Y. and Karimi, H.R. (2012) ‘Entry-Item-Quantity-ABC Analysis-Based Multitype Cigarette Fast Sorting System’, Mathematical Problems in Engineering, Vol. 2012, Article ID 847591, 9 pages.

[33] Hassan, M. M. D. (2002) ‘A framework for the design of warehouse layout’, Facilities, Vol. 20, No. 13/14, pp. 432-440.

[34] Bhaskaran, K. and Malmborg, C. (1990) ‘Economic tradeoffs in sizing warehouse reserve storage area’, Applied Math Modeling, Vol. 14, pp. 381-385.

[35] Hackman, S.T. and Rosenblatt, M. J. (1990) ‘Allocating Items to an Automated Storage and Retrieval System’, IIE Transactions, Vol. 22, No. 1, pp. 7-14.

[36] Bartholdi, J. J. and Hackman, S.T. (2008) ‘Allocating space in a forward pick area of a distribution center for small parts’, III Transactions, Vol. 40, pp. 1046-1053.

[37] Gu, J., Goetschalckx, M. and McGinnis, L. (2010) ‘Solving the forward-reserve allocation problem in warehouse order picking systems’, Journal of Operational Research Society, Vol. 61, pp. 1013-1021.

[38] Van den Berg, J. P., Sharp, P.G., Gademann, A. J. R. M. and Pochet, Y. (1998) ‘Forward-reserve allocation in a warehouse with unit-load replenishments’, European Journal of Operational Research, Vol. 111, pp. 98-113.

[39] Masae, M., Glock, C. H. and Grosse, E. H. (2020) ‘Order picker routing in warehouses: A systematic literature review’, International Journal of Production Economics, Vol. 224, pp. 1-22.

[40] Ratliff, H.D. and Rosenthal, A.S. (1993) ‘Order picking in a rectangular warehouse: A solvable case of the traveling salesman problem,’ Operational Research, Vol. 31, No. 3, pp. 507-521.

[41] De Koster, R., and Van der Poort, E.S. (1998) ‘Routing orderpickers in a warehouse: A comparison between optimal and heuristic solutions’, IIE Transactions Vol. 30, pp. 49-66.

[42] Cornuéjolos, G., Fonlupt, J. and Naddef, D. (1985) ‘The traveling salesman problem on a fraph and some related integer polyhedra’, Mathematical Programming Vol. 33, pp. 1-27.

[43] De Santis, R., Montanari, R., Vignali, G. and Bottani, E. (2018) ‘An adapted ant colony optimization algorithm for the minimization of the travel distance of pickers in manual warehouses’, European Journal of Operational Research. Vol. 267. pp. 120-137.

[44] Ariyasingha, I. D. I. D. and Fernando, T. G. I. (2015) ‘Performance Analysis of the Multiobjective Ant Colony Optimization Algorithms for the Traveling Salesman Problem’, Swarm and Evolutionary Computation, Vol. 23, pp. 11-26.

[45] Elbert, R. M., Franzke, T., Glock, C. H. and Grosse, E.H. (2017) ‘The effects of human behavior on the efficiency of routing policies in order picking: The case of route deviations’, Computers & Industrial Engineering, Vol. 111, pp. 537-551.

[46] Yuan, S., Skinner, B., Huang, S. and Liu, D. ‘A New Crossover Approach for Solving the Multiple Traveling Salesman Problem Using Genetic Algorithm’, European Journal of Operational Research, Vol. 228, No. 1, pp. 72-82.

[47] Hall, R.W. (1993) ‘Distance approximation for routing manual pickers in a warehouse’, IIE Transactions, Vol. 25, pp. 77-87.

[48] Petersen, C.G. (1997) ‘An evaluation of order picking routing policies’, International Journal of Operations & Production Management, Vol. 17, No. 11, pp. 1098-1111.

[49] Petersen, C.G. and Schmenner, R.W. (1999) ‘An Evaluation of Routing and Volume-based Storage in an Order Picking Operation’, Decision Sciences, Vol. 30, No.2, pp. 481-501.

[50] Hayashi, K., Irohara, T. and Sasaki, Y. (2017) ‘Order Picking System Considering Item Classification Based on Customer Demand’, Japan Industrial Management Association, Vol. 68, pp. 33-46.

[51] Klodawski, M., Jachimowski, R., Jacnya-Golda, I. and M. Izdebski, (2018) ‘Simulation Analysis of Order Picking Efficiency with Congestion Situations’, International Journal of Simulation Modeling, Vol. 17, No. 3, pp. 431-443.

[52] AlHalawani, S. and Mitra, N. (2015) ‘Congestion-Aware Warehouse Flow Analysis and Optimization’, International Symposium on Visual Computing 2015, Part II, LNCS 9485, pp. 702-711.

[53] Chen, F., Wang, H., Qi, C. and Xie, Yong. (2013) ‘An ant colony optimization routing algorithm for two order pickers with congestion consideration’, Computers &Industrial Engineering, Vol. 66, pp. 77-85.

[54] Heath, B. L, Ciarallo, F. W. and Hill, R. R. (2013) ‘An agent-based modeling approach to analyze the impact of warehouse congestion on cost and performance’, International Journal of Manufacture Technology, Vol. 67, pp. 563-574.

[55] Pan, J. C. H. and Shin, P. H. (2008) ‘Evaluation of the throughput of a multi-picker order picking system with congestion consideration’, Computers and Industrial Engineering, Vol. 55, pp. 379- 389.

[56] Pan, J. C. H. and Wu, M. H. (2012) ‘Throughput analysis for order picking system with multiple pickers and aisle congestion considerations’, Computers & Operations Research, Vol. 39, No. 7, pp. 1661-1672.

[57] Baker, P. and Canessa, M. (2009) ‘Warehouse design: A structured approach’, European Journal of Operational Research, Vol. 193, pp. 425-436.

[58] Gu, J., Goetschalckx, M. and McGinnis, L. (2010) ‘Research on warehouse design and performance evaluation: A comprehensive review’, European Journal of Operational Research, Vol. 203, pp. 539-549.

[59] Yener, F. and Yazgan, H. R. (2019) ‘Optimal warehouse design: Literature review and case study application’, Computers & Industrial Engineering, Vol. 129, pp. 1-13.

[60] Pohl, L.M., Meller, R.D. and Gue, K.R. (2009) ‘An analysis of dual-command operations in common warehouse designs’, Transportation Research Part E, Vol. 45, pp. 367-379.

[61] Gue, K. and Meller, R. (2009) ‘Aisle Configurations for Unit-Load Warehouses’, IIE Transactions, Vol. 41, No. 3, pp. 171- 182.

[62] Pohl, L.M., Meller, R.D. and Gue, K.R. (2009) ‘Optimizing Fishbone Aisles for Dual-Command Operations in a Warehouse’, Naval Research Logistics, Vol. 56, No. 5, pp. 389-403.

[63] Cardona, L.F., Soto, D.F., Rivera, L. and Martínez, H.J. (2015) ‘Detailed design of fishbone warehouse layouts with vertical travel’, International Journal of Production Economics, Vol. 170, Part. C, pp. 825-837.

[64] Gue, K., Ivanović, G. and Meller, R.D. (2012) ‘A unit-load warehouse with multiple pickup and deposit points and non-traditional aisles’, Transportation Research Part E: Logistics and Transportation Review, Vol. 48, No. 4, pp. 795-806.

[65] Öztürkoğlu, Ö., Gue, K. and Meller, R. (2014) ‘A constructive aisle design model for unit-load warehouses with multiple pickup and deposit points’, European Journal of Operational Research, Vol. 236, No. 1, pp. 382- 394.

[66] Meller, R. and Gue, K. (2009) ‘The Application of New Aisle Designs for Unit-Load Warehouses’, Proceedings of 2009 NSF Engineering Research and Innovation Conference, Honolulu, Hawaii.

[67] Öztürkoğlu, Ö., Gue, K. and Meller, R. (2012) ‘Optimal unit-load warehouse designs for singlecommand operations’, IIE Transactions, Vol. 44, pp. 459-475.

[68] Muppani, V, and Adil, G. (2008) ‘Efficient formation of storage classes for warehouse storage location assignment: A simulated annealing approach’, Omega, Vol. 36, pp. 609-618.

[69] Venkatadri, U. and Kubasad, S. (2012) ‘Estimating Travel Distances and Optimizing Product Placement for Dedicated Warehouses with Manual Picking’, 12th IMHRC Proceedings 41.

[70] Venkitasubramony, R. and Adil, G.K. (2017) ‘Design of an order-picking warehouse factoring vertical travel and space sharing’, International Journal of Advanced Manufacture Technology, Vol. 91, pp. 1921-1934.

[71] Pohl, L.M., Meller, R.D. and Gue, K.R. (2011) ‘Turnover-based storage in non-traditional unitload warehouse designs’, IIE Transactions, Vol. 43, pp. 703-720.

[72] Petersen, C.G., Siu, C. and Heiser, D.R. (2005) ‘Improving order picking performance utilizing slotting and golden zone storage.’, International Journal of Operations & Production Management’, Vol. 25, No.10, pp. 997-1012.

[73] Hsieh, L. and Tsai, L. (2006) ‘The optimum design of a warehouse system on order picking efficiency’, International Journal of Advanced Manufacture Technology, Vol. 28, pp. 626-637.

[74] Heskett, J. (1963) ‘Cube-per-Order Index: A Key to Warehouse Stock Location’, Transportation and Distribution Management. Vol. 3, pp. 27-31.

[75] Heskett, J. (1964) ‘Putting the Cube-per-Order Index to Work in Warehouse Layout’, Transportation and Distribution Management, Vol. 4, pp. 23-30.

[76] Hausman, W., Schwarz, L. and Graves, C. (1976) ‘Optimal Storage Assignment in Automatic Warehousing Systems’, Management Science, Vol. 22, No. 6, pp. 629-638.

[77] Van den Berg, J.P. (1996), ‘Class-based storage allocation in a single-command warehouse with space requirement constraints’, International Journal of Industrial Engineering, Vol. 3, No. 1, pp. 21-28.

[78] Guo, C., Yu, Y. and De Koster, R. (2016) ‘Impact of required storage space on storage policy performance in a unit-load warehouse’, International Journal of Production Research, Vol. 54, No. 8, pp. 2405-2418.

[79] Chan, F.T.S. and Chan, H.K. (2011) ‘Improving the productivity of order-picking of a manualpick and multi-level rack distribution warehouse through the implementation of class-based storage’, Expert Systems with Applications, Vol. 38, No. 3, pp. 2686-2700.

[80] Petersen, C.G. and Aase, G. and Heiser, D.R. (2004) ‘Improving order-picking performance through the implementation of class-based storage’, International Journal of Physical Distribution & Logistics Management, Vol. 34, No. 7, pp. 534-544.

[81] Le-Duc, T. and De Koster, R. B. M. (2005) ‘Travel distance estimation and storage zone optimization in a 2-block class-based storage strategy warehouse’, International Journal of Production Research, Vol. 43, No. 17, pp. 3561-3581.

[82] Accorsi, R., Bortolini, M., Ferrari, F., Gamberi, M. and Pilati, F. (2018) ‘Class-based storage warehouse design with diagonal cross-aisle’, LogForum. Vol. 14, No. 1, pp. 101-112.

[83] Teunter, R., Babai, M. and Syntetos, A. (2010) ‘ABC Classification: Service Levels and Inventory Costs’, Production and Operations Management, Vol. 19, No. 3, pp. 343-352.

[84] Hadi-Vencheh, A. and Mohamadghasemi, A. (2011) ‘A fuzzy AHP-DEA approach for multiple criteria ABC inventory classification”, Expert Systems with Applications’, Vol. 38, No. 4, pp. 3346-3352.

[85] Muppani, V. and Adil, G. (2008) ‘A branch and bound algorithm for class based storage location assignment’, European Journal of Operational Research, Vol. 189, No. 2, pp. 492-507.

[86] Rosenblatt, M. and Eynan, A. (1989) ‘Deriving the optimal boundaries for class-based automatic storage/retrieval systems’, Management Science, Vol. 35, No. 12, pp. 1519-1524.

[87] Manzini, R., Gamberi, M., Persona, A. and Regattieri, A. (2007) ‘Design of a class based storage picker to product order picking system’, International Journal of Manufacturing Technology, Vol. 32, pp. 811-821.

[88] Bogue, R. (2016) ‘Growth in e-commerce boosts innovation in the warehouse robot market’, Industrial Robot: An International Journal, Vol. 43, No. 6, pp. 583-587.

[89] Xie, J., Mei, Y., Ernst, A. T., Li, X. and Song, A. (2014) ‘A Genetic Programming-based Hyperheuristic Approach for Storage Location Assignment Problem’, 2014 IEEE Congress on Evolutionary Computation, pp. 3000-3007.

[90] Pan, J.C., Shih, P. and Wu, M. (2015) ‘Order batching in a pick-and-pass warehousing system with group genetic algorithm’, Omega, Vol. 57, Part B, pp. 238-248.

[91] Cachon, G. (2001) ‘Managing a Retailer's Shelf Space, Inventory, and Transportation’, Manufacturing & Service Operations Management, Vol. 3, No. 3, pp. 211-229.

[92] Hilmola, O. P. and Tolli, A. (2016) ‘Warehouse layout implications on picking distance: case of human factor’, Vol. 6, No. 1, pp. 43-58.

[93] Chabot, T., Coelho, L. C., Renaud, J. and Côté, J. (2018) ‘Mathematical model, heuristics and exact method for order picking in narrow aisles’, Journal of the Operational Research Society, Vol. 69, No. 8, pp. 1242-1253.

[94] Žunić, E., Beširević, A., Delalić, S., Hodžić, K. and Hasić, H. (2018) ‘A generic approach for order picking optimization process in different warehouse layouts’, 2018 41st International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO), pp. 1000-1005.

[95] Pan, C., Yu, S. and Du, X. (2018) ‘Optimization of warehouse layout based on genetic algorithm and simulation technique’, 2018 Chinese Control And Decision Conference (CCDC), pp. 3632- 3635.

[96] Shqair, M., Altarazi, S. and Al-Shihabi, S. (2014) ‘A statistical study employing agent-based modeling to estimate the effects of different warehouse parameters on the distance traveled in warehouses’, Simulation Modelling Practice and Theory, Vol. 49, pp. 122-135.

[97] Gils, T., Ramaekers, K., Braekers, K., Depaire, B. and Caris, A. (2018) ‘Increasing order picking efficiency by integrating storage, batching, zone picking, and routing policy decisions’, International Journal of Production Economics, Vol. 197, pp. 243-261.

[98] Chirici, L. and Wang, K. (2016) ‘Shortening the route in the warehouse: Comparison between algorithms’, WIT Transactions on Engineering Sciences, Vol. 113, pp.336-343.

[99] Chen, F., Wang, H., Xie, Y. and Qi, C. ‘An ACO-based online routing method for multiple order pickers with congestion consideration in warehouse’, Journal of Intelligent Manufacturing, Vol. 27, pp. 389-408.

[100]Rouwenhorst, B., Reuter, B., Stockrahm, V., Van Houtum, G. H., Mantel, R. J. and Zijm, W. H. M. (2000) ‘Warehouse design and control: Framework and literature review’, European Journal of Operational Research, Vol. 122, pp. 515-533.

[101]Napolitano, M. (1998) ‘Using Modeling to Solve Warehousing Problems, Warehousing Education and Research Council’, Oak Brook, IL, pp. 29-31.

[102]Boctor. F. F. (2009) ‘Offsetting inventory replenishment cycles to minimize storage space’, European Journal of Operational Research, Vol. 203, pp. 321-325.

[103]Brynzér, H. and Johanson, M. I. (1996) ‘Storage location assignment: using the product structure to reduce order picking times’, International Journal of Production Economics, Vol. 46-47, pp. 595-603.

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