http://iet.metastore.ingenta.com
1887

Cost sharing of terminal joint distribution of express industry

Cost sharing of terminal joint distribution of express industry

For access to this article, please select a purchase option:

Buy eFirst article PDF
£12.50
(plus tax if applicable)
Buy Knowledge Pack
10 articles for £75.00
(plus taxes if applicable)

IET members benefit from discounts to all IET publications and free access to E&T Magazine. If you are an IET member, log in to your account and the discounts will automatically be applied.

Learn more about IET membership 

Recommend to library

You must fill out fields marked with: *

Librarian details
Name:*
Email:*
Your details
Name:*
Email:*
Department:*
Why are you recommending this title?
Select reason:
 
 
 
 
 
— Recommend this title to your library

Thank you

Your recommendation has been sent to your librarian.

The express industry has developed rapidly, showing a picture of prosperity, but there are several problems behind its prosperity, such as lower efficiency, higher costs, more traffic pressures and increased disorder. To enhance operating efficiency, reduce delivery costs and ease both traffic pressures and disorder, the authors use the Shapley value method to establish a cost sharing model of terminal joint distribution for express enterprises. This model converts the proportion of income allocation into a cost sharing ratio and proposes a correction scheme of personal delivery service costs. The results of a case analysis show that the terminal joint distribution could reduce costs, such as wage costs and traffic costs, reduce both the costs of vehicle distribution and the number of vehicles distributed, and shortens the total distance travelled and time required for distribution. The model of cost sharing of terminal joint distribution for express enterprises could be fair. The cost sharing of terminal joint distribution depends on the personal level of the distribution service for express enterprises. They discuss the implications of the case analysis that jointly distributes costs among express enterprises along terminal routes for both the firms and for the emerging research on the joint distribution of costs.

References

    1. 1)
      • T.O. Adetiloye , T.O. Adetiloye .
        1. Adetiloye, T.O., Adetiloye, T.O.: ‘Collaboration planning of stakeholders for sustainable city logistics operations’. MASc thesis, Concordia University, 2012.
        .
    2. 2)
      • X. Wang , L. Zhan , J. Ruan .
        2. Wang, X., Zhan, L., Ruan, J., et al: ‘How to choose “last mile” delivery modes for e-fulfillment’, Math. Probl. Eng., 2014, 2014, (1), pp. 111.
        . Math. Probl. Eng. , 1 , 1 - 11
    3. 3)
      • Y. Hayel , D. Quadri , T. Jiménez .
        3. Hayel, Y., Quadri, D., Jiménez, T., et al: ‘Decentralized optimization of last-mile delivery services with non-cooperative bounded rational customers’, Ann. Oper. Res., 2016, 239, (2), pp. 451469.
        . Ann. Oper. Res. , 2 , 451 - 469
    4. 4)
      • Y. He , X. Wang , Y. Lin .
        4. He, Y., Wang, X., Lin, Y., et al: ‘Optimal partner combination for joint distribution alliance using integrated fuzzy ew-ahp and topsis for online shopping’, Sustainability, 2016, 8, (4), p. 341.
        . Sustainability , 4 , 341
    5. 5)
      • F. Liberatore , O.M.T. Ortu , G. Tirado .
        5. Liberatore, F., Ortu, O.M.T., Tirado, G., et al: ‘A hierarchical compromise model for the joint optimization of recovery operations and distribution of emergency goods in humanitarian logistics’, Comput. Oper. Res., 2014, 42, (3), pp. 313.
        . Comput. Oper. Res. , 3 , 3 - 13
    6. 6)
      • M.A. Figliozzi .
        6. Figliozzi, M.A.: ‘Planning approximations to the average length of vehicle routing problems with time window constraints’, Trans. Res. B Methodol., 2009, 43, (4), pp. 438447.
        . Trans. Res. B Methodol. , 4 , 438 - 447
    7. 7)
      • Y. Wang , X. Ma , M. Liu .
        7. Wang, Y., Ma, X., Liu, M., et al: ‘Cooperation and profit allocation in two-echelon logistics joint distribution network optimization’, Appl. Soft Comput., 2017, 56, pp. 143157.
        . Appl. Soft Comput. , 143 - 157
    8. 8)
      • K. Juchia , M.C. Chen .
        8. Juchia, K., Chen, M.C.: ‘Developing an advanced multi-temperature joint distribution system for the food cold chain’, Food Control, 2010, 21, (4), pp. 559566.
        . Food Control , 4 , 559 - 566
    9. 9)
      • C.I. Hsu , K.P. Liu .
        9. Hsu, C.I., Liu, K.P.: ‘A model for facilities planning for multi-temperature joint distribution system’, Food Control, 2011, 22, (12), pp. 18731882.
        . Food Control , 12 , 1873 - 1882
    10. 10)
      • D.F. Borghi , R. Guirardello , L.C. Filho .
        10. Borghi, D.F., Guirardello, R., Filho, L.C.: ‘Storage logistics of fruits and vegetables in distribution centers’, Comput. Aided Chem. Eng., 2009, 27, (9), pp. 17371742.
        . Comput. Aided Chem. Eng. , 9 , 1737 - 1742
    11. 11)
      • C.I. Hsu , W.T. Chen , W.J. Wu .
        11. Hsu, C.I., Chen, W.T., Wu, W.J.: ‘Optimal delivery cycles for joint distribution of multi-temperature food’, Food Control, 2013, 34, (1), pp. 106114.
        . Food Control , 1 , 106 - 114
    12. 12)
      • S.X. Xu , M. Cheng , G.Q. Huang .
        12. Xu, S.X., Cheng, M., Huang, G.Q.: ‘Efficient intermodal transportation auctions for b2b e-commerce logistics with transaction costs’, Trans. Res. B Methodol., 2015, 80, pp. 322337.
        . Trans. Res. B Methodol. , 322 - 337
    13. 13)
      • B. Erkayman , E. Gundogar , A. Yilmaz .
        13. Erkayman, B., Gundogar, E., Yilmaz, A.: ‘An integrated fuzzy approach for strategic alliance partner selection in third-party logistics’. Sci. World J., 2012, 2012, (1), pp. 16.
        . Sci. World J. , 1 , 1 - 6
    14. 14)
      • M. Dong , A.P. Wu , H. Li .
        14. Dong, M., Wu, A.P., Li, H.: ‘Studying cost allocation in joint distribution for E-commerce – a small to medium size logistic firm's perspective’. Proc. Int. Conf. Industrial Engineering and Engineering Management, Guangzhou, China, November 2015, pp. 379385.
        . Proc. Int. Conf. Industrial Engineering and Engineering Management , 379 - 385
    15. 15)
      • L. Liu , L. Wang .
        15. Liu, L., Wang, L.: ‘Research about joint distribution under low carbon policy impact on logistics costs’, Mod. Economy, 2016, 7, (9), pp. 10201024.
        . Mod. Economy , 9 , 1020 - 1024
    16. 16)
      • J. Engblom , T. Solakivi , J. Töyli .
        16. Engblom, J., Solakivi, T., Töyli, J., et al: ‘Multiple-method analysis of logistics costs’, Int. J. Prod. Econ., 2012, 137, (1), pp. 2935.
        . Int. J. Prod. Econ. , 1 , 29 - 35
    17. 17)
      • M. Frisk , M. Göthe-Lundgren , K. Jörnsten .
        17. Frisk, M., Göthe-Lundgren, M., Jörnsten, K., et al: ‘Cost allocation in collaborative forest transportation’, Eur. J. Oper. Res., 2006, 205, (2), pp. 448458.
        . Eur. J. Oper. Res. , 2 , 448 - 458
    18. 18)
      • Y.H. Hwang , Y.H. Lee .
        18. Hwang, Y.H., Lee, Y.H.: ‘Uncapacitated single allocation p -hub maximal covering problem’, Comput. Ind. Eng., 2012, 63, (2), pp. 382389.
        . Comput. Ind. Eng. , 2 , 382 - 389
    19. 19)
      • M. Turkensteen , A. Klose .
        19. Turkensteen, M., Klose, A.: ‘Demand dispersion and logistics costs in one-to-many distribution systems’, Eur. J. Oper. Res., 2012, 223, (2), pp. 499507.
        . Eur. J. Oper. Res. , 2 , 499 - 507
    20. 20)
      • L. Sun , M.H. Karwan , B. Gemici-Ozkan .
        20. Sun, L., Karwan, M.H., Gemici-Ozkan, B., et al: ‘Estimating the long-term cost to serve new customers in joint distribution’, Comput. Ind. Eng., 2015, 80, pp. 111.
        . Comput. Ind. Eng. , 1 - 11
    21. 21)
      • U. Faigle , S.P. Fekete , W. Hochstättler .
        21. Faigle, U., Fekete, S.P., Hochstättler, W., et al: ‘On approximately fair cost allocation in Euclidean tsp games’, OR Spectrum, 1998, 20, (1), pp. 2937.
        . OR Spectrum , 1 , 29 - 37
    22. 22)
      • L.S. Shapely , H. Kuhn , A.W. Tucker .
        22. Shapely, L.S., Kuhn, H., Tucker, A.W.: ‘Contributions to the theory of games II’, Ann.f Math. Stud., 1953, 24, pp. 305331.
        . Ann.f Math. Stud. , 305 - 331
http://iet.metastore.ingenta.com/content/journals/10.1049/iet-its.2017.0277
Loading

Related content

content/journals/10.1049/iet-its.2017.0277
pub_keyword,iet_inspecKeyword,pub_concept
6
6
Loading
This is a required field
Please enter a valid email address