TY - JOUR
T1 - Profit allocation in the global supply chain with transfer pricing and exchange rate
AU - Huang, Qian
AU - Weng, Jiahua
AU - Ohmori, Shunichi
AU - Yoshimoto, Kazuho
N1 - Funding Information:
aper has been partially supported by Waseda University Grants for Special Research Projects
Funding Information:
The work on this paper has been partially supported by Waseda University Grants for Special Research Projects (2019E-047).
Publisher Copyright:
© 2019 The Authors. Published by Elsevier Ltd.
PY - 2019
Y1 - 2019
N2 - One of the main challenges for the manufacturing industry is to ensure the appropriate allocation of benefits to all subsidiaries to achieve the ideal pattern of rapid and shared growth. Transfer price, which is the internal price among subsidiaries of a global manufacturing firm, is an important financial and business issue. However, most previous studies simply assume transfer prices. Our study reveals that transfer pricing can lead to different total profits of global supply chains and different profit allocation effects on subsidiaries. Furthermore, exchange rate is also considered with production planning since it is treated as an important global factor that can cause the profits of all subsidiaries to fluctuate. We add exchange constraints on both manufacturing and sales subsidiaries to reduce the inappropriate allocation of profits among subsidiaries. A profit allocation approach is proposed that considers transfer pricing and exchange rate simultaneously with production planning. The model is formulated using nonlinear programming with a nonconvex objective function and nonlinear constraints. However, we overcome modeling challenges using piecewise linear modeling and are able to obtain a mixed-integer linear programming (MILP) model, which can be solved using a linear programming solver. From numerical experiments, we highlight the importance of production planning decisions with transfer pricing and also prove the effectiveness of exchange constraints in the proposed model of the global supply chain.
AB - One of the main challenges for the manufacturing industry is to ensure the appropriate allocation of benefits to all subsidiaries to achieve the ideal pattern of rapid and shared growth. Transfer price, which is the internal price among subsidiaries of a global manufacturing firm, is an important financial and business issue. However, most previous studies simply assume transfer prices. Our study reveals that transfer pricing can lead to different total profits of global supply chains and different profit allocation effects on subsidiaries. Furthermore, exchange rate is also considered with production planning since it is treated as an important global factor that can cause the profits of all subsidiaries to fluctuate. We add exchange constraints on both manufacturing and sales subsidiaries to reduce the inappropriate allocation of profits among subsidiaries. A profit allocation approach is proposed that considers transfer pricing and exchange rate simultaneously with production planning. The model is formulated using nonlinear programming with a nonconvex objective function and nonlinear constraints. However, we overcome modeling challenges using piecewise linear modeling and are able to obtain a mixed-integer linear programming (MILP) model, which can be solved using a linear programming solver. From numerical experiments, we highlight the importance of production planning decisions with transfer pricing and also prove the effectiveness of exchange constraints in the proposed model of the global supply chain.
KW - Exchange rate
KW - Mathematical model
KW - Profit allocation
KW - Shared growth
KW - Transfer prices
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U2 - 10.1016/j.promfg.2020.01.268
DO - 10.1016/j.promfg.2020.01.268
M3 - Conference article
AN - SCOPUS:85082777914
SN - 2351-9789
VL - 39
SP - 1715
EP - 1723
JO - Procedia Manufacturing
JF - Procedia Manufacturing
T2 - 25th International Conference on Production Research Manufacturing Innovation: Cyber Physical Manufacturing, ICPR 2019
Y2 - 9 August 2019 through 14 August 2019
ER -