SCM The influence of inter-organizational learning on optimization of the supply chain The empirical research of strategy and dialogue using an supply chain management game
* * * Takashi MORI*, Naoki NISHIZAWA*, Ayako KAWAI, Akitsu OE*
* NIHON UNIVERSITY*, TAKACHIHO UNIVERSITY
( SC)SC
SC
SC
Abstract This study demonstrates the influence of a strategy for maintaining proper inventory and rethinking strategy with inter-organizational learning on the bullwhip effect in a supply chain (SC). The bullwhip effect is essentially a phenomenon of demand variability amplification along an SC. We use game data from the latest online supply chain management (SCM) game by businessmen and researchers for analysis. The result of the negative binominal distribution analysis shows that even if there is no strategy, the dialogue in the supply chain has an influence on reducing the bullwhip effect. We also demonstrate the importance of dialogue with strategy for reducing inventory cost. This research proposes the importance of inter-organizational learning for the optimization of SC. Keywords: inter-organizational learning, SCM game, bullwhip effect
1.( SCM)
(Flint, Larsson, Gammelgaard, and Mentzer, 2005; Manuj, Omar and Pohlen, 2014)
( SC)
SC( , 2015)
SCCPFR(Collaborative Planning
Forecasting and Replenishment) VMI(Vendor Managed Inventory) 3PL(Third Party Logistics)
CPFRVMI
3PL
(, 2015)
SC
ᵑ ᵒ⌂ ⇔ ™ ᵓ ᵔ
SCSC
(Bullwhip Effect) SC
(Lee, Padmanabhan and Whang, 1997) SC
(Dai, Li, Yan, and Zhou, 2016)
SC
SC
2.(1) SC
G1-13 2016年秋季全国研究発表大会
2016年9月15日(木)~9月16日(金)立命館大学 大阪いばらきキャンパス
91
(Huber, 1991)
(Huber, 1991)
(Ingram, 2002)
(Jones and Macpherson, 2006)
(Manuj, Omar and Pohlen, 2014)
(Provan and Milward, 1995; Knight, 2002)
(Yang, Fang, S. C., Fang, S. R. and Chou, 2014)
(Vasudeva, Alexander and Jones, 2014)
SC (2) SCM
SCM SCSC
SCMSC
SCSCM
SCSC
(Structural cohesion) (Aldrich, 1999)
SCSC SC
SC
90(Wang and
Disney, 2016)
(Dai, Li, Yan, and Zhou, 2016)
(Lee, Padmanabhan and Whang, 1997)
(Lee, Padmanabhan and Whang, 1997)
(Lee, Padmanabhan and Whang, 1997; Wang and Disney, 2016)
SCM(Wang and Disney, 2016)
SCM ᵑᵒ ⌂ ⇔ ™ ᵓ ᵔ
SCSC
SC
H1:SC内の話し合いは、ブルウィップ効果を抑制する。
H2:SC内の話し合いは、在庫費用を抑制する。
H3:SC内の戦略の存在は、ブルウィップ効果を抑制する。
H4:SC内の戦略の存在は、在庫費用を抑制する。
SC
H5:SC内の戦略の修正は、ブルウィップ効果を最も抑制する。
H6:SC内の戦略の修正は、在庫費用を最も抑制する。
3.(1)
SCM(2015)
PC OS5 1
20 30PC SCM
2016年秋季全国研究発表大会2016年9月15日(木)~9月16日(金)
立命館大学 大阪いばらきキャンパス
92
( 2015)
SCM (2015) ( )
SC 1 SC
1 1 0-100
1 21 1
22
2
50 100 150 150 10050 1 2
2 2 2 12 1 1 SC
2 SC
244 2 88
(2)
SCM
(1) (Chen, Drezner, Ryan and Simchi-Levi, 2000)
Bi : i
1 2 3
qi : i 1
D :
Var[ ]
(1) SC
1(2) (
, 2016)
(3)
1 0
0-4 5
( )
(4)
( )
SC
12 3
4. (1)
1. 2.
1 2 SC
SC2 SC
1 6 10
( 2) SCSC
(2)
1.
1
- 0.56 [0.39] - 0.26** [0.13]- 0.26 [0.22] 0.13 [0.08]- 0.17 [0.11] - 0.01 [0.04]
0.32* [0.19] 0.05 [0.06]0.16 [0.20] 0.17*** [0.06]
- 0.180 [0.23] - 0.05 [0.08]- 1.04*** [0.22] - 0.39*** [0.07]- 0.09 [0.23] - 0.23*** [0.07]
( ) - 0.60*** [0.19] - 0.14** [0.07]88 8844 44
Log likelihood - 337.19 - 573.19696.38 1168.38723.63 1195.63
*P < .10 **P < .05 ***P < .01,[ ]
I
2016年秋季全国研究発表大会 2016年9月15日(木)~9月16日(金)
立命館大学 大阪いばらきキャンパス
93
0.52VIF 1.57
10
AIC BIC
1 2
II 3 4
5 6
5.
SC
3 SC
SC
100
6.(
(C)15K03624 (C)16K03890)
7., , ₈◒꜡☻ⱪꜝ♇♩ⱨ
ⱶכ◊ ⌐╟╢ SCM ◕כⱶ╩ ⇔√▪◒♥▫Ⱪꜝכ♬fi◓─ ₉ₐ ₑ 634 , 2015 , 47-52Ɑכ☺.
, , ₈ ⌐╟╢SCM◦Ⱶꜙ꜠כ◦ꜛfi Ί ≤ ⅜Ⱪꜟ►▫♇ⱪ ⌐ ⅎ╢ Ί₉ 48 ( 27
) , 2015 12 5, , 2015 , 1021-1024Ɑכ☺.
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2016年秋季全国研究発表大会2016年9月15日(木)~9月16日(金)
立命館大学 大阪いばらきキャンパス
94