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Producing two substitutable products under a supply chain including two manufacturers and one retailer: A game-theoretic approach

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Abstract

In the current study, a supply chain structure is considered consisting of duopolistic manufacturers and monopolistic retailer. In the considered structure, the manufacturers product two substitutable products and deliver them to end customers. One of the manufacturers sells his/her products only through the common retailer whereas another one sells directly to customers as well as through the common retailer. Obviously, a competitive behavior is established in order to price the products under the considered supply chain. In this point of view, a game-theoretic approach is applied including Nash, Manufacturers-Stackelberg, and Retailer-Stackelberg games to analyze the pricing decisions. Then, the equilibrium strategies obtained from the investigated games are discussed and some insights are presented. The results indicate that Manufacturers-Stackelberg and Nash games respectively lead to the highest and the lowest profits for the manufacturers and the whole system. Furthermore, the highest profit for the common retailer is obtained from Retailer-Stackelberg game.
Journal of Industrial and Management Optimization
doi:10.3934/jimo.2022102
PRODUCING TWO SUBSTITUTABLE PRODUCTS UNDER A
SUPPLY CHAIN INCLUDING TWO MANUFACTURERS AND
ONE RETAILER: A GAME-THEORETIC APPROACH
Hamed Jafari
Assistant Professor, Industrial Engineering Group, Golpayegan College of Engineering
Isfahan University of Technology, Golpayegan 87717-67498, Iran
Soroush Safarzadeh
Assistant Professor, Department of Industrial Engineering
Quchan University of Technology, Quchan, Iran
(Communicated by Gerhard-Wilhelm Weber)
Abstract. In the current study, a supply chain structure is considered con-
sisting of duopolistic manufacturers and monopolistic retailer. In the con-
sidered structure, the manufacturers product two substitutable products and
deliver them to end customers. One of the manufacturers sells his/her prod-
ucts only through the common retailer whereas another one sells directly to
customers as well as through the common retailer. Obviously, a competitive
behavior is established in order to price the products under the considered
supply chain. In this point of view, a game-theoretic approach is applied in-
cluding Nash, Manufacturers-Stackelberg, and Retailer-Stackelberg games to
analyze the pricing decisions. Then, the equilibrium strategies obtained from
the investigated games are discussed and some insights are presented. The
results indicate that Manufacturers-Stackelberg and Nash games respectively
lead to the highest and the lowest profits for the manufacturers and the whole
system. Furthermore, the highest profit for the common retailer is obtained
from Retailer-Stackelberg game.
1. Introduction. Nowadays, logistics and supply chain management are known
as critical business concerns [36]. These two concepts play an important role to
achieve competitive advantages [30,16].
Christopher [5] presented a definition for logistics as “Logistics is the process of
strategically managing the procurement, movement, and storage of materials, parts,
and finished inventory through the organization and its marketing channels in such
a way that current and future profitability are maximized through the cost effective
fulfillment of orders.” Also, supply chain management has attracted considerable
attentions in recent years [2,15,3]. As defined by Christopher [5], “Supply chain
management is the management of upstream and downstream relationships with
suppliers and customers in order to deliver superior customer value at less cost to
the supply chain as a whole.”
2020 Mathematics Subject Classification. 91A80, 90C20, 90C90.
Key words and phrases. Supply chain management, pricing, two substitutable products, game
theory, Nash equilibrium, Stackelberg model.
Corresponding author: Hamed Jafari.
1
2 HAMED JAFARI AND SOROUSH SAFARZADEH
Price is considered as a significant competitive factor in each market [18,32,17,
14,6,7]. In this point of view, to specify the prices under the various supply chains
can lead to a strategic decision for decision makers [21].
Game theory is known as a mathematical approach to analyse the complicated
situations established among the rational players [48,37,34,12,46]. Recently,
it has found a wide range of applications in different supply chain structures to
make decisions under the various competitive and cooperative behaviors (e.g., see:
[35,28,47,4,13,24,11]).
The aim of the current study is to apply a game-theoretic framework in order to
price two substitutable products under a supply chain structure including duopolis-
tic manufacturers and monopolistic retailer. In this setting, attempts are made to
address some of the researches that have applied a game-theoretic approach to price
two substitutable products under the various structures as follows.
Xiao and Choi [42] proposed a dynamic game theoretical framework to price two
substitutable products in a two-echelon supply chain consisting of two manufactur-
ers and two retailers.
Xiao and Yang [43] and Ai et al. [1] investigated a pricing competition on two
competing supply chains under the demand uncertainty, while Xie et al. [44] con-
sidered the quality improvement concept in addition to the pricing strategies under
a similar supply chain. Furthermore, Wu [41] applied a Nash bargaining scheme
to share the profit obtained from the pricing integration among the members in a
similar structure.
Some studies have investigated the pricing decisions on a supply chain consisting
of two manufacturers and a common retailer. Edirisinghe et al. [8], Sinha and
Sarmah [33], Wei et al. [38], and Wu [40] analyzed the effects of different channel
power structures, whereas Li et al. [23] considered this structure to set prices under a
supply disruption. Zhao et al. [50] applied a fuzzy modeling approach to investigate
the effects of uncertainty on the pricing decisions in which the production costs and
demands are as the fuzzy variables. Pan et al. [31] and Li et al. [22] established
this structure in which the manufacturers can select the wholesale price and the
revenue sharing contracts to sell their products to the retailer. Moreover, Lu et
al. [26] investigated the effects of the services provided by the manufacturers on
the pricing competition established among two competing manufacturers and their
common retailer.
Xu et al. [45] considered a supply chain including two suppliers and one man-
ufacturer where a supplier is a big company abroad while another one is a small
local company.
In this research, a game-theoretic approach is applied to set prices under a supply
chain structure including two competing manufacturers and one common retailer.
In this structure, the manufacturers procure two substitutable products to sell them
to customers. One of the manufacturers sells his/her products only via the common
retailer, while another one sells his/her products directly to customers in addition
to via the common retailer. In this setting, the pricing competition is investigated
under the various interactions established among the members, i.e., if the members
have a similar power structure, then they can make the decisions under the Nash
game and as they have a different power structure, the Manufacturers-Stackelberg
and the Retailer-Stackelberg games are established among the members.
The rest of the study is organized as follows: In Section 2, the considered prob-
lem is described in details. The game-theoretic framework including the Nash,
GAME THEORY FOR PRODUCING TWO SUBSTITUTABLE PRODUCTS 3
Manufacturers-Stackelberg, and Retailer-Stackelberg games are investigated in Sec-
tions 3-5, respectively. In Section 6, the obtained results are provided. Moreover,
the conclusions are presented in Section 7.
2. Model description. In this research, a supply chain structure is established
including duopolistic manufacturers and monopolistic retailer. The manufacturers
separately product two substitutable products and sell them to customers. The
first manufacturer sells his/her products directly to customers as well as through
the common retailer, whereas the second one sells his/her products only through
the common retailer.
The first manufacturer sets the price related to the first product in the direct
channel in addition to the wholesale price of this product to the common retailer.
The second manufacturer specifies the wholesale price related to the second prod-
uct to the retailer. Furthermore, the retailer charges the prices concerning the
substitutable products to end customers. The notations are defined as follows:
KiManufacturing cost per unit for the manufacturer i(i= 1, 2)
φMarket scale for the first product in the direct channel
ϑiMarket scale for the product iin the retail channel
λSelf-price sensitivity of the demands
ζCross-price sensitivity of the demands
WiWholesale price set by the manufacturer ito the common retailer
PPrice set by the first manufacturer to customers in the direct channel
PiPrice set by the common retailer to customers for the product i
QDemand for the first product in the direct channel
QiDemand for the product iin the retail channel
MiProfit value of the manufacturer i
RProfit value of the common retailer
SC Profit value of the whole system
The considered assumptions are as follows:
(1) The manufacturers have enough production capacities to meet their demands.
(2) The demands are specified based on the prices charged to customers.
(3) The demand in each channel is more sensitive to the price set in this channel
than to the sum of the prices set in other channels, i.e., λ > 2ζ.
(4) As the manufacturers sell their products through the common retailer, the
retailer’s profit margin is not less than the manufacturers’ profit margins, i.e., Pi
WiWiKi(i= 1,2).
The demands are incorporated into the problem as follows:
Q=φλP +ζ(P1+P2) (1)
Q1=ϑ1λP1+ζ(P+P2) (2)
Q2=ϑ2λP2+ζ(P+P1) (3)
Below, the profits are also formulated:
M1= (PK1)Q+ (W1K1)Q1(4)
M2= (W2K2)Q2(5)
R= (P1W1)Q1+ (P2W2)Q2(6)
SC =M1+M2+R(7)
4 HAMED JAFARI AND SOROUSH SAFARZADEH
The following constraints should be considered into the problem to ensure that
the profit margins and demands in the channels are nonnegative:
PK1, W1K1, W2K2, P1W1, P2W2(8)
Q, Q1, Q20 (9)
In the next sections, the game-theoretic framework is applied to make the pric-
ing decisions under the considered supply chain. In this point of view, the game-
theoretic models are developed including the Nash, Manufacturers-Stackelberg, and
Retailer-Stackelberg to find the equilibrium prices under the various behaviours es-
tablished among the members.
Note the proofs of all theorems presented in the next sections are provided in
Appendix A.
3. Nash game. Under the Nash game, the members have a similar power struc-
ture. Thus, they attempt to make their decisions by maximizing their profits in-
dependently and simultaneously (i.e., see: [29,27,25,19]). The Nash game is
formulated as follows:
max
P, W1
M1= (PK1)Q+ (W1K1)Q1s.t. P K1, W1K1
max
W2
M2= (W2K2)Q2s.t. W2K2
max
P1, P2
R= (P1W1)Q1+ (P2W2)Q2s.t. P1W1, P2W2
(10)
Now, the attempts are made to find the equilibrium prices under the Nash game.
Theorem 3.1. The profit functions M1and M2are linearly increasing with respect
to W1and W2, respectively.
From assumption (4), we have: Wi(Pi+Ki)/2 (i= 1,2). Thus, regard-
ing Theorem 3.1, the optimal values of the wholesale prices are equal to Wi=
(Pi+Ki)/2 (i= 1,2) from the manufacturers’ point of view.
By substituting Wi= (Pi+Ki)/2 (i= 1,2) into the profit functions M1,M2,
and R, the Nash game is reformulated as follows:
max
PM
1= (PK1)Q+(P1K1)
2Q1s.t. P K1
max
P1, P2
R=(P1K1)
2Q1+(P2K2)
2Q2s.t. P1K1, P2K2
(11)
Obviously, the second manufacturer sets only the wholesale price W2. Therefore,
the decision variable of this manufacturer is fixed by setting W2= (P2+K2)/2.
Theorem 3.2. M
1is concave with Pand Ris jointly concave with P1and P2.
As a result, if the prices calculated from solving the first order deviations of M
1
in Pand Rin P1and P2meet the relations 8and 9, then they can be considered
as the equilibrium prices under the Nash game.
Theorem 3.3. Under the Nash game, the equilibrium prices are as follows:
GAME THEORY FOR PRODUCING TWO SUBSTITUTABLE PRODUCTS 5
W1N=A1K1+A2K2+A3φ+A4ϑ1+A5ϑ2
A6
W2N=A7K1+A8K2+A9φ+A10ϑ1+A11 ϑ2
A6
PN=A12K1+A13 K2+A14φ+A15 ϑ1+A16ϑ2
A6
P1N=A17K1+A2K2+A3φ+A4ϑ1+A5ϑ2
A6
P2N=A7K1+A18K2+A9φ+A10 ϑ1+A11ϑ2
A6
(12)
where, we have:
A1= 12λ3+ 2λ2ζ17λζ27ζ3
A2=ζ2(λ+ζ)
A3= 2ζ(λ+ζ)
A4= (2λ+ζ)(2λζ)
A5=ζ(4λ+ζ)
A6= 8λ313λζ2+ 5ζ3
A7= 4λ2ζ+ 5λζ2+ζ3
A8= 24λ337λζ213ζ3
A9= 4ζ(λ+ζ)
A10 =ζ(8λ+ 3ζ)
A11 = 8λ23ζ2
A12 = 4λ3+λ2ζ4λζ2ζ3
A13 = 2ζ(λ+ζ)(λζ)
A14 = 4(λ+ζ)(λζ)
A15 =ζ(3λ+ 2ζ)
A16 =ζ(2λ+ 3ζ)
A17 = 4λ3+ 2λ2ζ4λζ22ζ3
A18 = 8λ311λζ23ζ3
In the next section, the equilibrium prices are given under the Manufacturers-
Stackelberg game.
6 HAMED JAFARI AND SOROUSH SAFARZADEH
4. Manufacturers-Stackelberg game. In the Manufacturers-Stackelberg game,
the power structure of the manufacturers is considered to be higher than of the
common retailer. In this setting, the decisions are specified at two levels. The
manufacturers make their decisions firstly and then the common retailer sets his/her
prices (i.e., see: [39,9,10,49,20]). The Manufacturers-Stackelberg game is modelled
as follows:
Level1 : max
P, W1
M1= (PK1)Q+ (W1K1)Q1s.t. P K1, W1K1
max
W2
M2= (W2K2)Q2s.t. W2K2
Level2 : max
P1, P2
R= (P1W1)Q1+ (P2W2)Q2s.t. P1W1, P2W2
(13)
Theorem 4.1. The profit function Ris jointly concave with P1and P2.
By solving the first order deviations of Rin P1and P2, the prices set by the
retailer are determined with respect to the manufacturers’ prices as follows:
Theorem 4.2. Given the manufacturers’ decisions, the optimal prices set by the
retailer are:
Pi(W1, W2, P ) = ζ(λ+ζ)P+ (λ+ζ) (λζ)Wi+λϑi+ζ ϑj
2(λ+ζ)(λζ)
(14)
By substituting P1(W1, W2, P ) and P2(W1, W2, P ) into the manufacturers’ profit
functions, M
1and M
2are calculated. Now, the manufacturers set their decisions
by maximizing their own profits, simultaneously.
Theorem 4.3. M
1is jointly concave with W1and P. Furthermore, M
2is concave
with W2.
Theorem 4.4. In the Manufacturers-Stackelberg game, the equilibrium prices are
as follows:
W1MS =B1K1+B2K2+B3φ+B4ϑ1+B5ϑ2
B6
W2MS =B7K1+B8K2+B9φ+B9ϑ1+B10 ϑ2
B11
PMS =B12 K1+B13K2+B14φ+B15 ϑ1+B16ϑ2
B17
P1MS =B18 K1+B19K2+B20φ+B21 ϑ1+B22ϑ2
B23
P2MS =B24 K1+B25K2+B26φ+B22 ϑ1+B27ϑ2
B23
(15)
where, we have:
B1= 8λ48λ3ζ11λ2ζ2+ 3λζ32ζ4
B2= 4λ3ζ2λ2ζ26λζ3
B3= 8λ2ζ6λζ22ζ3
B4= 8λ38λ2ζ5λζ2+ 2ζ3
GAME THEORY FOR PRODUCING TWO SUBSTITUTABLE PRODUCTS 7
B5= 4λ2ζ+ 2λζ25ζ3
B6= 16λ48λ3ζ15λ2ζ2+ 5λζ3+ 4ζ4
B7= 4λ2ζ8λζ2+ 2ζ3
B8= 4λ38λ2ζ+ 2λζ2
B9= 2λζ 2ζ2
B10 = 4λ28λζ + 3ζ2
B11 = 8λ316λ2ζ+λζ2+ 4ζ3
B12 = 8λ48λ3ζ13λ2ζ2+ 5λζ3+ 2ζ4
B13 = 2λ3ζ2λζ3
B14 = 8λ38λ2ζ2λζ2+ 2ζ3
B15 = 8λ2ζ3λζ22ζ3
B16 = 6λ2ζ3ζ3
B17 = 2(λ+ζ)(8λ316λ2ζ+λζ2+ 4ζ3)
B18 = 8λ58λ4ζ11λ3ζ2+λ2ζ3+ 4ζ5
B19 = 4λ4ζ4λ3ζ24λ2ζ3+ 4λζ4
B20 = 16λ3ζ22λ2ζ2+ 2λζ3+ 4ζ4
B21 = 24λ448λ3ζ+ 13λ2ζ2+ 12λζ34ζ4
B22 = 20λ3ζ28λ2ζ25λζ3+ 10ζ4
B23 = 4(λ+ζ)(λζ)(8λ316λ2ζ+λζ2+ 4ζ3)
B24 = 16λ4ζ24λ3ζ217λ2ζ3+ 21λζ42ζ5
B25 = 8λ516λ4ζ2λ3ζ2+ 16λ2ζ36λζ4
B26 = 12λ3ζ12λ2ζ26λζ3+ 6ζ4
B27 = 24λ448λ3ζ+ 6λ2ζ2+ 24λζ39ζ4
Now, in the following section, the equilibrium decisions in the Retailer-Stackelberg
game are obtained.
8 HAMED JAFARI AND SOROUSH SAFARZADEH
5. Retailer-Stackelberg game. In this section, the Retailer-Stackelberg game is
analysed in which the power structure of the common retailer is more than of the
manufacturers. At the first level, the common retailer sets his/her prices, whereas
the prices related to the manufacturers are determined at the second level. The
Retailer-Stackelberg game is formulated as follows:
Level1 : max
P, W1
M1= (PK1)Q+ (W1K1)Q1s.t. P K1, W1K1
Level2 :max
W2
M2= (W2K2)Q2s.t. W2K2
max
P1, P2
R= (P1W1)Q1+ (P2W2)Q2s.t. P1W1, P2W2
(16)
As stated in Theorem 3.1, the profit functions M1and M2are linearly increasing
with W1and W2, respectively. So, from the manufacturers’ point of view, the
optimal values of the wholesale prices are Wi= (Pi+Ki)/2 (i= 1,2). In this
setting, the game is reformulated as follows:
Level1 : max
P1,P2
R=(P1K1)
2Q1+(P2K2)
2Q2s.t. P1K1, P2K2
Level2 :max
PM
1= (P K1) Q + (P1K1)
2Q1s.t. P K1
(17)
Regarding Theorem 3.2,M
1is concave with P. Thus, given the retailer’s prices,
the optimal value of Pis obtained by solving the first order deviation of M
1in P
as follows:
Theorem 5.1. Knowing the prices specified by the common retailer, the optimal
price set by the first manufacturer in the direct channel is as follow:
P(P1, P2) = 3ζP1+ 2ζP2+ 2φ+ (2λζ)K1
4λ
(18)
Substituting P(P1, P2) into R, the new profit function R′′ is calculated.
Theorem 5.2. R′′ is jointly concave with respect to P1and P2.
By maximizing the profit function R′′, the optimal values of P1and P2are
determined. Now, the equilibrium prices under the Retailer-Stackelberg game are
obtained by substituting the optimal values of P1and P2into relation 18 and
Wi= (Pi+Ki)/2 (i= 1,2).
Theorem 5.3. Under the Retailer-Stackelberg game, the equilibrium prices are:
W1RS =C1K1+C2K2+C3φ+C4ϑ1+C5ϑ2
C6
W2RS =C7K1+C8K2+C9φ+C5ϑ1+C10ϑ2
C6
PRS =C11K1+C12 K2+C13φ+C14 ϑ1+C15ϑ2
C6
P1RS =C16K1+C17 K2+C18φ+C19 ϑ1+C20ϑ2
C6
P2RS =C21K1+C22 K2+C23φ+C20 ϑ1+C24ϑ2
C6
(19)
GAME THEORY FOR PRODUCING TWO SUBSTITUTABLE PRODUCTS 9
where, we have:
C1= 48λ4+ 8λ3ζ104λ2ζ261λζ3
C2=ζ42λ2ζ2
C3= 8λ2ζ+ 8λζ2+ζ3
C4= 16λ38λζ2
C5= 16λ2ζ+ 10λζ2
C6= 64λ4144λ2ζ280λζ3ζ4
C7= 8λ3ζ+ 6λ2ζ25λζ3ζ4
C8= 48λ4108λ2ζ262λζ32ζ4
C9= 8λ2ζ+ 8λζ2ζ3
C10 = 16λ312λζ2
C11 = 32λ4+ 8λ3ζ52λ2ζ246λζ317ζ4
C12 = 16λ3ζ39λζ322ζ4
C13 = 32λ352λζ220ζ3
C14 = 24λ2ζ+ 16λζ22ζ3
C15 = 16λ2ζ+ 24λζ2+ 3ζ3
C16 = 32λ4+ 16λ3ζ64λ2ζ242λζ3+ζ4
C17 = 2ζ44λ2ζ2
C18 = 16λ2ζ+ 16λζ2+ 2ζ3
C19 = 32λ316λζ2
C20 = 32λ2ζ+ 20λζ2
C21 = 16λ3ζ+ 12λ2ζ210λζ32ζ4
C22 = 32λ472λ2ζ244λζ33ζ4
C23 = 16λ2ζ+ 16λζ22ζ3
C24 = 32λ324λζ2
6. Discussions and results. In this section, the results obtained from the inves-
tigated models are revealed.
10 HAMED JAFARI AND SOROUSH SAFARZADEH
6.1. Comparisons of the equilibrium decisions under the various games.
In this subsection, the equilibrium prices, demands, and profits are compared under
the investigated games. The following results can be derived through a simple
analytical comparison between each two games.
Corollary 6.1. Comparisons of the prices given by the models are presented as
follows:
WiMS WiRS WiN
PMS PRS PN
PiMS PiRS PiN
(20)
Regarding Corollary 6.1, the highest and the lowest prices are obtained from the
Manufacturers-Stackelberg and Nash games, respectively. Due to more competition
established among the members under the Nash game, they set lower prices to do
not lose their customers. Moreover, the decision powers of the manufacturers are
higher than of the retailer. In this view, the prices made under the Manufacturers-
Stackelberg game are higher than under the other games.
Corollary 6.2. Comparisons related to the demands are provided as follows:
QMS QRS QN
QiNQiRS QiMS (21)
The Manufacturers-Stackelberg and Nash games respectively lead to the largest
and the shortest values for the demand of the first product in the direct channel.
This inference is reversed for the demands of the products in the retail channel.
Customers are price sensitive and hence higher prices lead to lower demands. Con-
sequently, the highest and the lowest retail demands are given under the Nash and
Manufacturers-Stackelberg games, respectively.
Corollary 6.3. The fol lowing relations hold among the profits obtained from the
developed games:
M1MS M1RS M1N
M2MS M2RS M2Nif D10, D20, and D30
M2RS > M2MS M2Nif D1<0, D20, and D30
M2RS M2N> M2M S if D1<0, D2<0, and D30
RRS RNRMS
SC M S SCRS S CN
(22)
where, D1,D2, and D3are defined in Appendix A.
The highest and the lowest profits for the first manufacturer and the whole system
are obtained from the Manufacturers-Stackelberg and Nash games, respectively.
From the common retailer’s point of view, the Retailer-Stackelberg game leads to
the highest profit. Moreover, the highest profit of the second manufacturer is given
by the games under some threshold conditions.
GAME THEORY FOR PRODUCING TWO SUBSTITUTABLE PRODUCTS 11
6.2. Numerical example. In this subsection, a numerical example is provided
to well illustrate the research problem. The values of the considered parameters
have been presented in Table 1. Without loss of generality, it is assumed that
the manufacturing costs as well as the market scales in the retail channel for both
products are the same, i.e., K1=K2and ϑ1=ϑ2. Applying the investigated
game theoretical models, the equilibrium strategies related to the prices, demands,
and profits are obtained under the various power structures. The results have been
summarized in Table 2.
Table 1. The values of the parameters in the numerical example
Parameters K1=K2φ ϑ1=ϑ2λ ζ
Values 100 200 300 3.0 1.0
Table 2. The results obtained from the investigated models for
the numerical example
Games Prices
W1W2P P1P2
Nash 130.23 130.23 141.86 160.47 160.47
Manufacturers-
Stackelberg
161.39 153.16 157.59 195.09 190.98
Retailer-
Stackelberg
134.58 133.86 145.24 169.15 167.73
Demands
Q Q1Q2
Nash 95.35 120.93 120.93
Manufacturers-
Stackelberg
113.29 63.29 79.75
Retailer-
Stackelberg
101.15 105.51 111.21
Profits
M1M2R SC
Nash 7647.38 3656.03 7312.06 18615.47
Manufacturers-
Stackelberg
9534.33 3627.72 6637.06 19799.11
Retailer-
Stackelberg
8224.57 3766.11 7414.31 19405.00
6.3. Sensitivity analysis. Now, the effects of the considered parameters are in-
vestigated on the members’ profits and the profit of the while system obtained from
the models. For this reason, the parameters are changed in the numerical example
presented in the previous subsection. The changes of the profits with respect to the
manufacturing costs (i.e., K1and K2), the market scale of the first product in the
direct channel (i.e., φ), the market scales of the products in the retail channel (i.e.,
ϑ1and ϑ2), the self-price sensitivity of the demands (i.e., λ), and the cross-price
sensitivity of the demands (i.e., ζ) have been exhibited in Figures 1-5, respectively.
12 HAMED JAFARI AND SOROUSH SAFARZADEH
Figure 1. Changes of the profits in the manufacturing costs
Corollary 6.4. When the manufacturing costs of the products increase, the mem-
bers’ profits and the profit of the whole system decrease under the investigated games.
Figure 2. Changes of the profits in the market scale for the first
product in direct channel
Corollary 6.5. Higher the market scale of the first product in the direct channel
leads to higher profits under the developed games.
Corollary 6.6. If the market scales of the products in the retail channel increase,
then the profits are raised in all games.
Corollary 6.7. By increasing the self-price sensitivity of the demands, the mem-
bers’ profits and the profit of the whole system are reduced under the game models.
Corollary 6.8. More the cross-price sensitivity of the demands leads to more profits
for the members and the whole system.
GAME THEORY FOR PRODUCING TWO SUBSTITUTABLE PRODUCTS 13
Figure 3. Changes of the profits in the market scales for the prod-
ucts in the retail channel
Figure 4. Changes of the profits in the self-price sensitivity of the demands
6.4. Effects of opening the direct channel. In this section, the profit values of
both manufacturers are compared under the same conditions in order to recognize
the effects of establishing the direct channel on their profits. For this reason, it
is assumed that the production costs for both manufacturers and the total market
scales for both products are the same (i.e., K1=K2=Kand ϑ1+φ=ϑ2=ϑ).
By substituting relations K1=K2=K,ϑ1=ϑφ, and ϑ2=ϑinto the profit
values of the manufacturers 1 and 2, the new profits MA1and MA2are obtained,
respectively. Now, we compare the profit functions M A1and M A2under the
developed game models.
14 HAMED JAFARI AND SOROUSH SAFARZADEH
Figure 5. Changes of the profits in the cross-price sensitivity of
the demands
Corollary 6.9. One can derive that:
MA1NM A2Nif D40
MA1M S MA2M S if D50
MA1RS M A2RS if D60
(23)
where, D4,D5, and D6are defined in Appendix A.
Regarding Corollary 6.9, the profits received by the first manufacturer under
different game models are higher than by the second manufacturer, if some threshold
conditions are met. As a matter of fact, improving the manufacturer’s profit by
opening a direct channel depends on the values of the considered parameters.
7. Conclusions. In this research, a game theoretical framework was developed
to specify the prices of two substitutable products under a supply chain consist-
ing of duopolistic manufacturers and monopolistic retailer. The first manufacturer
sells his/her products directly to customers in addition to via the common retailer
whereas the second manufacturer sells only through the common retailer. In this
point of view, the pricing decisions were analyzed under different competitions es-
tablished among the members. As the members had a similar power structure, they
set the decisions under the Nash game. If the power structure of the manufacturers
was more than of the retailer, then the Manufacturers-Stackelberg game was de-
veloped. Moreover, the Retailer-Stackelberg game was established when the power
structure of the common retailer was higher than of the manufacturers.
Then, the results given by the investigated games were revealed. It was found
that the highest and the lowest prices are specified under the Manufacturers-
Stackelberg and Nash games, respectively. The Manufacturers-Stackelberg and
Nash games lead to the largest values respectively for the demand of the first prod-
uct in the direct channel and the demands of the products in the retail channel. The
highest and the lowest profits for the first manufacturer and the whole system are
given by the Manufacturers-Stackelberg and Nash games, respectively. The highest
GAME THEORY FOR PRODUCING TWO SUBSTITUTABLE PRODUCTS 15
profit of the second manufacturer is obtained under a threshold condition. Fur-
thermore, the Retailer-Stackelberg game leads to the highest profit for the common
retailer.
Finally, a sensitivity analysis was implemented on the considered parameters. We
derived that by increasing the manufacturing costs, the members’ profits and the
profit of the whole system decrease. As the market scales of the products increase,
the profits increase in all games. When the self-price sensitivity of the demands
increases, the profit values of the members and the whole system are raised, while
this inference is reversed by increasing the cross-price sensitivity of the demands.
There are some directions for future researches. In the current study, production
costs for the first manufacturer to sell his/her products through the direct and retail
channels were similar. Considering different production costs faced by the first
manufacturer under these two channels would be an interesting idea. Furthermore,
different contract mechanisms (like discount, profit/revenue sharing, etc.) can be
considered in future studies.
Appendix A. Notations and proofs.
Proof of Theorem 3.1.The first and second order deviations of M1and M2respec-
tively to W1and W2are:
∂M1
∂W1
=Q1=ϑ1λP1+ζ(P+P2)0,2M1
∂W12= 0
dM2
dW2
=Q2=ϑ2λP2+ζ(P+P1)0,d2M2
dW22= 0
Clearly, from the above relations, M1and M2are linearly increasing with W1and
W2, respectively.
Proof of Theorem 3.2.We have:
dM
1
dP =φ2λP +ζ(P1+P2) + λK1+ζP1K1
2,d2M
1
dP 2=2λ < 0
∂R
∂P1
=1
2[ϑ12λP1+ζ(P+P2) + λK1+ζ(P2K2)]
∂R
∂P2
=1
2[ϑ22λP2+ζ(P+P1) + λK2+ζ(P1K1)]
H="2R
∂P1
2
2R
∂P2 P1
2R
∂P1 P2
2R
∂P2
2#=λ ζ
ζλ
Considering assumption (3), the Hessian matrix His negative definite. Thus, from
the above relations, M
1is concave and Ris jointly concave with their own prices.
Proof of Theorem 3.3.Solving the first order deviations of M
1in Pand Rin P1
and P2and substituting them into relation Wi= (Pi+Ki)/2 (i= 1,2), the prices
presented in relation 12 can be calculated. By some algebraic manipulations that
are not presented here for brevity, it is proved that these prices meet constraints 8
and 9. Therefore, they are feasible and can be considered as the equilibrium prices
under the Nash game.
16 HAMED JAFARI AND SOROUSH SAFARZADEH
Proof of Theorem 4.1.We have:
∂R
∂P1
=ϑ12λP1+ζ(P+ 2P2) + λW1ζW2
∂R
∂P2
=ϑ22λP2+ζ(P+ 2P1) + λW2ζW1
H="2R
∂P1
2
2R
∂P2 P1
2R
∂P1 P2
2R
∂P2
2#=2λ2ζ
2ζ2λ
From assumption (3), His negative definite and thus Ris jointly concave in P1and
P2.
Proof of Theorem 4.2.Solving the first order deviations of Rin P1and P2, relation
14 can be given.
Proof of Theorem 4.4.By calculating the first and second order deviations, we have:
∂M
1
∂W1
=1
2(ϑ12λW1+ζW2+ 2ζ P + (λζ)K1)
∂M
1
∂P =ζ ϑ1+ζϑ2+ 2 (λζ)φ+ 2ζ(λζ)W1+ζ(λζ)W2
2(λζ)
4λ2λζ ζ2P(2λ23λζ ζ2)K1
2(λζ)
H="2M
1
∂W1
2
2M
1
∂P W1
2M
1
∂W1 P
2M
1
∂P 2#="λ ζ
ζ2(λ2λζζ2)
(λζ)#
dM
2
dW2
=1
2[ϑ22λW2+ζW1+ζ P +λK2],d2M
2
dW22=λ < 0
Regarding assumption (3), His negative definite. Therefore, M
1is jointly concave
in W1and P. Moreover, M
2is concave with W2.
Proof of Theorem 5.1.Relation 18 is obtained by solving the calculated first order
deviation in P.
Proof of Theorem 5.2.We have:
∂R′′
∂P1
=24λ2ζ2P1+8λζ + 5ζ2P2+ 2 2λ2+λζ 2ζ2K1
8λ
4λζ + 3ζ2K22ζφ + 4λϑ1
8λ
∂R′′
∂P2
=8λζ + 5ζ2P142λ2ζ2P22λζ + 3ζ2K1
8λ
+2 2λ2ζ2K2+ 2ζφ + 4λϑ2
8λ
H="2R′′
∂P1
2
2R′′
∂P2 P1
2R′′
∂P1 P2
2R′′
∂P2
2#="4λ2ζ2
4λ
8λζ+5ζ2
8λ
8λζ+5ζ2
8λ2λ2ζ2
2λ#
The hessian matrix His negative definite by considering assumption (3). So, R′′ is
jointly concave in P1and P2.
GAME THEORY FOR PRODUCING TWO SUBSTITUTABLE PRODUCTS 17
Proof of Theorem 5.3.The prices presented in relation 19 are determined by solving
the above first order deviations in P1and P2and substituting them into relations
18 and Wi= (Pi+Ki)/2 (i= 1,2). Some algebraic manipulations show the
given prices are feasible and therefore they are as the equilibrium prices under the
Retailer-Stackelberg game.
Notations.
D1=F1F2
F3
+λF4F5
F6
where, we have:
F1= 32 λ3ϑ22K1ζ42K2ζ432 K2λ42φ ζ 3+ 12 K1λ2ζ2+
72 K2λ2ζ210 K1λ ζ3+ 16 K1λ3ζ+ 36 K2λ ζ 3+ 16 λ φ ζ2+
16 λ2φ ζ + 20 λ ϑ1ζ2+ 32 λ2ϑ1ζ24 λ ϑ2ζ2
F2= 16 K2λ5+ 8 K1ζ5+ 10 K2ζ516 λ4ϑ2 + 9 φ ζ4+ϑ1ζ4ϑ2ζ4
+ 53 K1λ2ζ36K1λ3ζ220 K2λ2ζ344 K2λ3ζ22λ2ϑ1ζ2+ 36 λ2ϑ2ζ2
+ 43 K1λ ζ424 K1λ4ζ+ 18 K2λ ζ 4+ 17 λ φ ζ38λ3φ ζ + 18 λ ϑ2ζ3
F3=64 λ4+ 144 λ2ζ2+ 80 λ ζ 3+ζ42
F4= 2 K1ζ34K2λ34K2ζ3+ 4 λ2ϑ22φ ζ22ϑ1ζ2+ 3 ϑ2ζ2
+ 2 λφζ + 2 λ ϑ1ζ8λ ϑ2ζ8K1λ ζ2+ 4 K1λ2ζ+K2λ ζ 2+ 8 K2λ2ζ
F5= 24 K2λ5+ 2 K1ζ516 K2ζ524 λ4ϑ26φ ζ 410 ϑ1ζ4+ 9 ϑ2ζ4
+ 17 K1λ2ζ3+ 24 K1λ3ζ2+ 64 K2λ2ζ326 K2λ3ζ2+ 12 λ2φ ζ 2+ 28 λ2ϑ1ζ2
6λ2ϑ2ζ221 K1λ ζ416 K1λ4ζ+ 2 K2λ ζ 448 K2λ4ζ+ 6 λφζ3
12 λ3φ ζ + 5 λ ϑ1ζ320 λ3ϑ1ζ24 λ ϑ2ζ3+ 48 λ3ϑ2ζ
F6= 16 8λ316 λ2ζ+λ ζ2+ 4 ζ3
8λ5+ 16 λ4ζ+ 7 λ3ζ220 λ2ζ3+λ ζ 4+ 4 ζ5
D2=λF7F8
F9
+F10F11
F12
where, we have:
F7= 2 K1ζ34K2λ34K2ζ3+ 4 λ2ϑ22φ ζ22ϑ1ζ2+ 3 ϑ2ζ2
+ 2 λφζ + 2 λ ϑ1ζ8λ ϑ2ζ8K1λ ζ2+ 4 K1λ2ζ+K2λ ζ 2+ 8 K2λ2ζ
F8= 24 K2λ5+ 2 K1ζ516 K2ζ524 λ4ϑ26φ ζ 410 ϑ1ζ4+ 9 ϑ2ζ4
+ 17 K1λ2ζ3+ 24 K1λ3ζ2+ 64 K2λ2ζ326 K2λ3ζ2+ 12 λ2φ ζ 2+ 28 λ2ϑ1ζ2
6λ2ϑ2ζ221 K1λ ζ416 K1λ4ζ+ 2 K2λ ζ 448 K2λ4ζ+ 6 λφζ3
12 λ3φ ζ + 5 λ ϑ1ζ320 λ3ϑ1ζ24 λ ϑ2ζ3+ 48 λ3ϑ2ζ
F9= 16 8λ316 λ2ζ+λ ζ2+ 4 ζ3
18 HAMED JAFARI AND SOROUSH SAFARZADEH
8λ5+ 16 λ4ζ+ 7 λ3ζ220 λ2ζ3+λ ζ 4+ 4 ζ5
F10 =K1ζ38K2λ3+ 7 K2ζ3+ 8 λ2ϑ2+4φ ζ2+ 3 ϑ1ζ23ϑ2ζ2+ 4 λφζ
+ 8 λ ϑ1ζ+ 5 K1λ ζ2+ 4 K1λ2ζ+ 15 K2λ ζ 2
F11 = 8 λ3ϑ26K1ζ42K2ζ48K2λ44φ ζ3+ 2 ϑ1ζ32ϑ2ζ3+K1λ2ζ2
+ 15 K2λ2ζ217 K1λ ζ3+ 12 K1λ3ζ+ 5 K2λ ζ3+ 4 λ2φ ζ + 3 λ ϑ1ζ211 λ ϑ2ζ2
F12 =16 λ3+ 26 λ ζ2+ 10 ζ332 λ3+ 52 λ ζ2+ 20 ζ3
D3=F13F14
F3
F15F16
F12
where, we have:
F13 = 32 λ3ϑ22K1ζ42K2ζ432 K2λ42φ ζ3+ 12 K1λ2ζ2+ 72 K2λ2ζ2
10 K1λ ζ3+ 16 K1λ3ζ+ 36 K2λ ζ 3+ 16 λφζ2+ 16 λ2φ ζ + 20 λ ϑ1ζ2
+ 32 λ2ϑ1ζ24 λ ϑ2ζ2
F14 = 16 K2λ5+ 8 K1ζ5+ 10 K2ζ516 λ4ϑ2 + 9 φ ζ4+ϑ1ζ4ϑ2ζ4
+ 53 K1λ2ζ36K1λ3ζ220 K2λ2ζ344 K2λ3ζ22λ2ϑ1ζ2+ 36 λ2ϑ2ζ2
+ 43 K1λ ζ424 K1λ4ζ+ 18 K2λ ζ 4+ 17 λ φ ζ38λ3φ ζ + 18 λ ϑ2ζ3
F15 =K1ζ38K2λ3+ 7 K2ζ3+ 8 λ2ϑ2+4φ ζ2+ 3 ϑ1ζ23ϑ2ζ2+ 4 λφζ
+ 8 λ ϑ1ζ+ 5 K1λ ζ2+ 4 K1λ2ζ+ 15 K2λ ζ 2
F16 = 8 λ3ϑ26K1ζ42K2ζ48K2λ44φ ζ3+ 2 ϑ1ζ32ϑ2ζ3+K1λ2ζ2
+ 15 K2λ2ζ217 K1λ ζ3+ 12 K1λ3ζ+ 5 K2λ ζ 3+ 4 λ2φ ζ + 3 λ ϑ1ζ211 λ ϑ2ζ2
D4= 128K2λ7256K2λ6ζ424K2λ5ζ2+ 584K2λ4ζ3+ 648K2λ3ζ4
136K2λ2ζ5192K2λζ632K2ζ7256K ϑλ5ζ+ 16K ϑλ4ζ2+ 808Kϑλ3ζ3
+464Kϑλ2ζ4152K ϑλζ 580Kϑζ6128Kφλ6+ 192Kφλ5ζ+ 480K φλ4ζ2
424Kφλ3ζ3604K φλ2ζ4+ 52K φλζ5+ 72Kφζ6+ 120ϑ2λ3ζ2+ 240ϑ2λ2ζ3
+120ϑ2λζ4128ϑφλ5+ 256ϑφλ4ζ+ 352ϑφλ3ζ2456ϑφλ2ζ3484ϑφλζ 4
60ϑφζ5+ 192φ2λ5192φ2λ4ζ488φ2λ3ζ2+ 224φ2λ2ζ3+ 407φ2λζ 4+ 72φ2ζ5
D5= 512K2λ92624K2λ8ζ+ 3136K2λ7ζ2+ 3352K2λ6ζ37253K2λ5ζ4
248K2λ4ζ5+ 4175K2λ3ζ6618K2λ2ζ7636K2λζ8+ 72K2ζ91472K ϑλ7ζ
+5664Kϑλ6ζ24224K ϑλ5ζ35010K ϑλ4ζ4+ 5004Kϑλ3ζ5+ 798Kϑλ2ζ6
952Kϑλζ 772K ϑζ8640Kφλ8+ 3264Kφλ7ζ4480Kφλ6ζ2
1592Kφλ5ζ3+ 6282K φλ4ζ41090K φλ3ζ52272Kφλ2ζ6+ 360Kφλζ7
+288Kφζ 8+ 1008ϑ2λ5ζ22456ϑ2λ4ζ3+ 771ϑ2λ3ζ4+ 916ϑ2λ2ζ5
GAME THEORY FOR PRODUCING TWO SUBSTITUTABLE PRODUCTS 19
261ϑ2λζ6110ϑ2ζ7384ϑφλ7+ 3008ϑφλ6ζ7456ϑφλ5ζ2
+5960ϑφλ4ζ3+ 1458ϑφλ3ζ42934ϑφλ2ζ5+ 100ϑφλζ6+ 368ϑφζ 7
+704φ2λ73712φ2λ6ζ+ 6576φ2λ5ζ23456φ2λ4ζ3
1845φ2λ3ζ4+ 1866φ2λ2ζ5+ 64φ2λζ6224φ2ζ7
D6= 1024K2λ92048K2λ8ζ4672K2λ7ζ2+ 6976K2λ6ζ3+ 9888K2λ5ζ4
6176K2λ4ζ58661K2λ3ζ6+ 191K2λ2ζ7+ 1280K2λζ884K2ζ92048K ϑλ7ζ
+128Kϑλ6ζ2+ 8256K ϑλ5ζ3+ 3808K ϑλ4ζ46480Kϑλ3ζ54622Kϑλ2ζ6
419Kϑλζ 72K ϑζ81024Kφλ8+ 1536Kφλ7ζ+ 5120Kφλ6ζ24288K φλ5ζ3
9664Kφλ4ζ4+ 912K φλ3ζ5+ 5014K φλ2ζ6+ 1210Kφλζ776Kφζ8+ 960ϑ2λ5ζ2
+1664ϑ2λ4ζ3+ 528ϑ2λ3ζ4176ϑ2λ2ζ5ϑ2λζ61024ϑφλ7+ 2048ϑφλ6ζ
+4096ϑφλ5ζ24032ϑφλ4ζ37712ϑφλ3ζ42864ϑφλ2ζ5206ϑφλζ6ϑφζ 7
+1536φ2λ71536φ2λ6ζ5824φ2λ5ζ2+ 1408φ2λ4ζ3+ 7352φ2λ3ζ4
+3520φ2λ2ζ5+ 316φ2λζ617φ2ζ7
REFERENCES
[1] X. Ai, J. Chen, H. Zhao and X. Tang, Competition among supply chains: Implications of full
returns policy,Internat. J. Prod. Econ.,139 (2012), 257–265.
[2] C. Amountzias, Pricing decisions and competitive conduct across manufacturing sectors: Ev-
idence from 19 European Union manufacturing industries,J. Industry Competition Trade,
19 (2019), 413–440.
[3] J. Asirvatham and S. Bhuyan, Incentives and impacts of vertical coordination in a food
production-marketing chain: A non-cooperative multi-stage, multi-player analysis,J. Industry
Competition Trade,18 (2018), 59–95.
[4] Y.-H. Chen, X.-W. Wen and M.-Z. Luo, Corporate social responsibility spillover and compe-
tition effects on the food industry,Aus. Econ. Papers,55 (2016), 1–13.
[5] M. Christopher, Logistics and Supply Chain Management,
[6] S. Delpachitra, Price rigidity in the downstream petroleum industry in New Zealand: Where
does it happen?,Energy Econ.,24 (2002), 597–613.
[7] S. Delpachitra and D. Beal, Petrol prices disparity: Did the removal of price surveillance
create price competition?,Econ. Papers,21 (2002), 56–65.
[8] N. C. P. Edirisinghe, B. Bichescu and X. Shi, Equilibrium analysis of supply chain structures
under power imbalance,European J. Oper. Res.,214 (2011), 568–578.
[9] A. E. E. Eltoukhy, Z. X. Wang, F. T. S. Chan and S. H. Chung, Joint optimization using
a leader-follower Stackelberg game for coordinated configuration of stochastic operational
aircraft maintenance routing and maintenance staffing,Comp. Indust. Engrg.,125 (2018),
46–68.
[10] H. Fang, L. Xu and X. Wang, Coordinated multiple-relays based physical-layer security im-
provement: A single-leader multiple-followers Stackelberg game scheme,IEEE Trans. Info.
Forensics Security,13 (2018), 197–209.
[11] H. Jafari, Investigating environmental and economic aspects of sustainability by recycling
PET plastic bottles: A game-theoretic approach,Clean Tech. Environ. Policy,24 (2022),
829–842.
[12] H. Jafari, Nurse scheduling problem by considering total number of required nurses as well
as nurses’ preferences for working shifts: An algorithmic game-theoretic approach, in press,
Scientia Iranica.
[13] H. Jafari, Sustainable development by reusing of recyclables in a textile industry including
two collectors and three firms: A game-theoretic approach for pricing decisions,J. Cleaner
Prod.,229 (2019), 598–610.
20 HAMED JAFARI AND SOROUSH SAFARZADEH
[14] H. Jafari, S. R. Hejazi and M. Rasti-Barzoki, Game theoretical approach to price a product
under two-echelon supply chain containing e-tail selling channel,Internat. J. Services Oper.
Mgmt.,36 (2020), 131–160.
[15] H. Jafari, S. R. Hejazi and M. Rasti-Barzoki, Pricing decisions in dual-channel supply chain
including monopolistic manufacturer and duopolistic retailers: A game-theoretic approach,
J. Industry Competition Trade,16 (2016), 323–343. Pearson UK, 2016.
[16] H. Jafari, S. R. Hejazi and M. Rasti-Barzoki, Pricing decisions in dual-channel supply chain
with one manufacturer and multiple retailers: A game-theoretic approach,RAIRO Oper.
Res.,51 (2017), 1269–1287.
[17] H. Jafari, S. R. Hejazi and M. Rasti-Barzoki, Sustainable development by waste recycling
under a three-echelon supply chain: A game-theoretic approach,J. Cleaner Prod.,142 (2017),
2252–2261.
[18] H. Jafari, S. Safarzadeh and E. Azad-Farsani, Effects of governmental policies on energy-
efficiency improvement of hydrogen fuel cell cars: A game-theoretic approach,Energy,254
(2022).
[19] C. K. Jaggi, M. Gupta, A. Kausar and S. Tiwari, Inventory and credit decisions for dete-
riorating items with displayed stock dependent demand in two-echelon supply chain using
Stackelberg and Nash equilibrium solution,Ann. Oper. Res.,274 (2019), 309–329.
[20] J. Jiang and X. Liu, Multi-objective Stackelberg game model for water supply networks
against interdictions with incomplete information,European J. Oper. Res.,266 (2018), 920–
933.
[21] D. Kesavayuth and V. Zikos, Price or quantity? A new irrelevance result for mixed markets,
Aus. Econ. Papers ,55 (2016), 29–42.
[22] B. X. Li, Y.-W. Zhou, J.-Z. Li and S.-P. Zhou, Contract choice game of supply chain competi-
tion at both manufacturer and retailer levels,Internat. J. Prod. Econ.,143 (2013), 188–197.
[23] J. Li, S. Wang and T. C. E. Cheng, Competition and cooperation in a single-retailer two-
supplier supply chain with supply disruption,Internat. J. Prod. Econ.,124 (2010), 137–150.
[24] P.-C. Liao, Strategic delegation under unionised duopoly: Who will bargain with unions?,
Aus. Econ. Papers ,49 (2010), 276–288.
[25] Y. Liu, H. Xu, S.-J. S. Yang and J. Zhang, Distributionally robust equilibrium for continuous
games: Nash and Stackelberg models,European J. Oper. Res.,265 (2018), 631–643.
[26] J.-C. Lu, Y.-C. Tsao and C. Charoensiriwath, Competition under manufacturer service and
retail price,Econ. Model l.,28 (2011), 1256–1264.
[27] A. Lucia, P. A. DiMaggio and D. Alonso-Martinez, Metabolic pathway analysis using a Nash
equilibrium approach,J. Global Optim.,71 (2018), 537–550.
[28] T. Matsumura and A. Ogawa, Endogenous timing in mixed duopolies with externality,Aus.
Econ. Papers ,56 (2017), 304–327.
[29] J. F. Nash Jr., Equilibrium points in n-person games,Proc. Nat. Acad. Sci. U.S.A.,36 (1950),
48–49.
[30] M. A. Nchake, L. Edwards and A. Sundaram, Price-setting behavior and competition in
developing countries: An analysis of retail outlets in Lesotho,J. Industry Competition Trade,
18 (2018), 529–547.
[31] K. Pan, K. K. Lai, S. C. H. Leung and D. Xiao, Revenue-sharing versus wholesale price
mechanisms under different channel power structures,European J. Oper. Res.,203 (2010),
532–538.
[32] M. Rasti-Barzoki, H. Jafari and S. R. Hejazi, Game-theoretic approach for pricing decisions
in dual-channel supply chain,Internat. J. Industrial Engrg. Prod. Res.,28 (2017), 1–8.
[33] S. Sinha and S. P. Sarmah, Coordination and price competition in a duopoly common retailer
supply chain,Comp. Indust. Engrg.,59 (2010), 280–295.
[34] H.-L. Sun and X.-J. Chen, Two-stage stochastic variational inequalities: Theory, algorithms
and applications,J. Oper. Res. Soc. China ,9(2021), 1–32.
[35] C. Tang, S. Zhu and E. Cao, Equilibrium analysis of a dual-channel supply chain under
different market powers,Aus. Econ. Papers,57 (2018), 19–34.
[36] C. Wang, P.-Y. Nie and Y. Meng, Duopoly competition with corporate social responsibility,
Aus. Econ. Papers ,57 (2018), 327–345.
[37] F.-M. Wang, J.-J. Wang, N. Li, Y.-J. Jiang and S.-C. Li, A cost-sharing scheme for the k-level
facility location game with penalties,J. Oper. Res. Soc. China ,10 (2022), 173–182.
[38] J. Wei, J. Zhao and Y. Li, Pricing decisions for complementary products with firms’ different
market powers,European J. Oper. Res.,224 (2013), 507–519.
GAME THEORY FOR PRODUCING TWO SUBSTITUTABLE PRODUCTS 21
[39] W. Wei, X. Fan, H. Song, X. Fan and J. Yang, Imperfect information dynamic Stackelberg
game based resource allocation using hidden Markov for cloud computing,IEEE Trans. Ser-
vices Comput.,11 (2018), 78–89.
[40] C.-H. Wu, Price and service competition between new and remanufactured products in a
two-echelon supply chain,Internat. J. Prod. Econ.,140 (2012), 496–507.
[41] D. D. Wu, Bargaining in supply chain with price and promotional effort dependent demand,
Math. Comput. Modelling,58 (2013), 1659–1669.
[42] T. Xiao and T. M. Choi, Purchasing choices and channel structure strategies for a two-echelon
system with risk-averse players,Internat. J. Prod. Econ.,120 (2009), 54–65.
[43] T. Xiao and D. Yang, Price and service competition of supply chains with risk-averse retailers
under demand uncertainty,Internat. J. Prod. Econ.,114 (2008), 187–200.
[44] G. Xie, S. Wang and K. K. Lai, Quality improvement in competing supply chains,Internat.
J. Prod. Econ.,134 (2011), 262–270.
[45] H. Xu, N. Yao and S. Tong, Sourcing under cost information asymmetry when facing time-
sensitive customers,Internat. J. Prod. Econ.,144 (2013), 599–609.
[46] Z. Yang and X. Zhang, Competitive equilibria and benefit distributions of population produc-
tion economies with external increasing returns,J. Oper. Res. Soc. China ,9(2021), 723–740.
[47] G. Ye, Leadership and privatisation in a mixed multi-product oligopoly: An endogenous
timing model,Aus. Econ. Papers ,55 (2016), 170–180.
[48] B.-Y. Zhang and S. Pei, Game theory and the evolution of cooperation,J. Oper. Res. Soc.
China,10 (2022), 379–399.
[49] Y. Zhang, Y. Xu, Y. Xu, Y. Yang, Y. Luo, Q. Wu and X. Liu, A multi-leader one-follower
Stackelberg game approach for cooperative anti-jamming: No pains, no Gains,IEEE Comm.
Lett.,22 (2018), 1680–1683.
[50] J. Zhao, W. Tang, R. Zhao and J. Wei, Pricing decisions for substitutable products with a
common retailer in fuzzy environments,European J. Oper. Res.,216 (2012), 409–419.
Received January 2022; revised April 2022; early access June 2022.
E-mail address:hamed.jafari@iut.ac.ir
E-mail address:s.safarzadeh@qiet.ac.ir
... Supply chain management involves the management of relationships both upstream and downstream between suppliers and customers to deliver superior value to the customers Jafari and Safarzadeh (2023). A typical supply chain encompasses various levels, including suppliers, manufacturers, distributors, retailers, and consumers, all working towards enhancing the organization's processes and effectively planning the distribution of goods within the supply chain Zadeh et al., (2023). ...
... Based on a study of academic research documents, the key elements of the supply chain can be summarized as presented in Table 2 below. Rahamneha et al., (2023), , Jafari and Safarzadeh (2023), Zadeh et al., (2023), Paguio and Habib (2017), Purnomo et al., (2020), Marbun et al., (2020), Sirisomboonsuk and Burns (2023). Rahamneha et al., (2023), Yang et al., (2023), Dai et al., (2023), , Jafari and Safarzadeh (2023), Zadeh et al., (2023), Paguio and Habib (2017), Purnomo et al., (2020), Marbun et al., (2020), Sirisomboonsuk and Burns (2023). ...
... Rahamneha et al., (2023), , Jafari and Safarzadeh (2023), Zadeh et al., (2023), Paguio and Habib (2017), Purnomo et al., (2020), Marbun et al., (2020), Sirisomboonsuk and Burns (2023). Rahamneha et al., (2023), Yang et al., (2023), Dai et al., (2023), , Jafari and Safarzadeh (2023), Zadeh et al., (2023), Paguio and Habib (2017), Purnomo et al., (2020), Marbun et al., (2020), Sirisomboonsuk and Burns (2023). Zadeh et al., (2023), Purnomo et al., (2020), Marbun et al., (2020), Sirisomboonsuk and Burns (2023). ...
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The article is in the second phase of research is about “the big data architecture for pre-teacher preparation supply chain with prescriptive analytics of higher education in Thailand”. The objectives of the study were (1) to study the pre-teacher preparation supply chain in Thailand, (2) to develop a model the big data system for the pre-teacher preparation supply chain management with prescriptive analytics of higher education in Thailand, (3) to design the big data architecture for the pre-teacher preparation supply chain management with prescriptive analytics of higher education in Thailand, (4) to develop the big data system for the pre-teacher preparation supply chain prescriptive of higher education in Thailand, (5) to assess accuracy of the predictive analytics in the pre-teachers needs of higher education in Thailand, and (6) to assess accuracy of the prescriptive analytics in the pre-teacher preparation of higher education in Thailand. In the study, the research procedures were divided into 6 steps according to the objectives, and all steps were assessed on the system suitability by 25 experts throughout the procedures.
... Recently, applications of the game-theoretic approach have greatly increased in supply chain management. Many studies have discussed how to obtain the equilibrium strategies using the game-theoretic framework in various supply chain structures (e.g., see: [17,18,19,22]). ...
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