In this paper, we construct a competitive food supply chain network model in which the profit-maximizing producers decide not only as to the volume of fresh produce produced and distributed using various supply chain network pathways, but they also decide, with the associated costs, on the initial quality of the fresh produce. Consumers, in turn, respond to the various producers' product outputs through the prices that they are willing to pay, given also the average quality associated with each producer or brand at the retail outlets. The quality of the fresh produce is captured through explicit formulae that incorporate time, temperature, and other link characteristics with links associated with processing, shipment, storage, etc. Capacities on links are also incorporated as well as upper bounds on the initial product quality of the firms at their production/harvesting sites. The governing concept of the competitive supply chain network model is that of Nash Equilibrium, for which alternative variational inequality formulations are derived, along with existence results. An algorithmic procedure, which can be interpreted as a discrete-time tatonnement process, is then described and applied to compute the equilibrium produce flow patterns and accompanying link Lagrange multipliers in a realistic case study, focusing on peaches, which includes disruptions.

1.
Aamir
,
M.
,
Ovissipour
,
M.
,
Sablani
,
S. S.
, and
Rasco
,
B.
, “
Predicting the quality of pasteurized vegetables using kinetic models: A review
,”
Int. J. Food Sci.
2013
,
271271
.
2.
Ahumada
,
O.
and
Villalobos
,
J. R.
, “
Application of planning models in the agri-food supply chain: A review
,”
Eur. J. Oper. Res.
196
,
1
20
(
2009
).
3.
Ahumada
,
O.
and
Villalobos
,
J. R.
, “
A tactical model for planning the production and distribution of fresh produce
,”
Ann. Oper. Res.
190
,
339
358
(
2011
).
4.
Aiello
,
G.
,
La Scalia
,
G.
, and
Micale
,
R.
, “
Simulation analysis of cold chain performance based on time-temperature data
,”
Prod. Plann. Control
23
(
6
),
468
476
(
2012
).
5.
Akkerman
,
R.
,
Farahani
,
P.
, and
Grunow
,
M.
, “
Quality, safety and sustainability in food distribution: A review of quantitative operations management approaches and challenges
,”
OR Spectrum
32
,
863
904
(
2010
).
6.
Arrhenius
,
S.
, “
Über die reaktionsgeschwindigkeit bei der inversion von rohrzucker durch säuren
,”
Z. Phys. Chem.
4
,
226
248
(
1889
).
7.
Bertsekas
,
D. P.
and
Tsitsiklis
,
J. N.
,
Parallel and Distributed Computation: Numerical Methods
(
Prentice Hall, Englewood Cliffs
,
NJ
,
1989
).
8.
Besik
,
D.
and
Nagurney
,
A.
, “
Quality in fresh produce supply chains with application to farmers' markets
,”
Socio-Econ. Plann. Sci.
60
,
62
76
(
2017
).
9.
Blackburn
,
J.
and
Scudder
,
G.
, “
Supply chain strategies for perishable products: The case of fresh produce
,”
Prod. Oper. Manage.
18
(
2
),
129
137
(
2009
).
10.
Castro
,
I.
,
Teixeira
,
J. A.
,
Salengke
,
S.
,
Sastry
,
S. K.
, and
Vicente
,
A. A.
, “
Ohmic heating of strawberry products: electrical conductivity measurements and ascorbic acid degradation kinetics
,”
Innovative Food Sci. Emerging Technol.
5
(
1
),
27
36
(
2004
).
11.
Crisosto
,
C. H.
and
Valero
,
D.
, “
Harvesting and postharvest handling of peaches for the fresh market
,” in
The Peach: Botany, Production and Uses
, edited by
Layne
,
D. R.
and
Bassi
,
D.
(
CAB International
,
2008
), pp.
575
596
.
12.
Dafermos
,
S.
and
Nagurney
,
A.
, “
Oligopolistic and competitive behavior of spatially separated markets
,”
Reg. Sci. Urban Econ.
17
,
245
254
(
1987
).
13.
Dermesonlouoglou
,
E.
,
Giannakourou
,
M.
, and
Taoukis
,
P.
, “
Kinetic modelling of the quality degradation of frozen watermelon tissue: Effect of the osmotic dehydration as a pre-treatment
,”
Int. J. Food Sci. Technol.
42
(
7
),
790
798
(
2007
).
14.
Dris
,
R.
and
Jains
,
S. M.
,
Quality Handling and Evaluation
(
Springer Science & Business Media
,
New York
,
2007
).
15.
Dupuis
,
P.
and
Nagurney
,
A.
, “
Dynamical systems and variational inequalities
,”
Ann. Oper. Res.
44
,
7
42
(
1993
).
16.
Gabay
,
D.
and
Moulin
,
H.
, “
On the uniqueness and stability of Nash equilibria in noncooperative games
,” in
Applied Stochastic Control of Econometrics and Management Science
, edited by
Bensoussan
,
A.
,
Kleindorfer
,
P.
, and
Tapiero
,
C. S
. (
North-Holland
,
Amsterdam, The Netherlands
,
1980
), pp.
271
294
.
17.
Ghare
,
P.
and
Schrader
,
G.
, “
A model for an exponentially decaying inventory
,”
J. Ind. Eng.
14
,
238
243
(
1963
).
18.
Kinderlehrer
,
D.
and
Stampacchia
,
G.
,
An Introduction to Variational Inequalities and Their Applications
(
Academic Press
,
New York
,
1980
).
19.
Kopanos
,
G. M.
,
Puigjaner
,
L.
, and
Georgiadis
,
M. C.
, “
Simultaneous production and logistics operations planning in semicontinuous food industries
,”
Omega
40
,
634
650
(
2012
).
20.
Krokida
,
M. K.
,
Karathanos
,
V. T.
,
Maroulis
,
Z. B.
, and
Marinos-Kouris
,
D.
, “
Drying kinetics of some vegetables
,”
J. Food Eng.
59
(
4
),
391
403
(
2003
).
21.
Labuza
,
T. P.
,
Shelf-life Dating of Foods
(
Food & Nutrition Press
,
Westport, CT
,
1982
).
22.
Labuza
,
T. P.
, “
Application of chemical kinetics to deterioration of foods
,”
J. Chem. Educ.
61
(
4
),
348
358
(
1984
).
23.
Lowe
,
T. J.
and
Preckel
,
P. V.
, “
Decision technologies for agribusiness problems: A brief review of selected literature and a call for research
,”
Manuf. Serv. Oper., Manage.
6
(
3
),
201
208
(
2004
).
24.
Maftoonazad
,
N.
and
Ramaswamy
,
H. S.
, “
Effect of pectin-based coating on the kinetics of quality change associated with stored avocados
,”
J. Food Process. Preserv.
32
(
4
),
621
643
(
2008
).
25.
Monteiro
,
D. M. S.
, “
Theoretical and empirical analysis of the economics of traceability adoption in food supply chains
,” Ph.D. thesis (
University of Massachusetts Amherst
,
Amherst, MA
,
2007
).
26.
Nagurney
,
A.
,
Network Economics: A Variational Inequality Approach, 2nd and revised ed.
(
Kluwer Academic Publishers
,
Boston, MA
,
1999
).
27.
Nagurney
,
A.
,
Supply Chain Network Economics: Dynamics of Prices, Flows and Profits
(
Edward Elgar Publishing, Inc
.,
Cheltenham, UK
,
2006
).
28.
Nagurney
,
A.
,
Dong
,
J.
, and
Zhang
,
D.
, “
A supply chain network equilibrium model
,”
Transp. Res. E
38
,
281
303
(
2002
).
29.
Nagurney
,
A.
and
Li
,
D.
,
Competing on Supply Chain Quality: A Network Economics Perspective
(
Springer International Publishing
,
Switzerland
,
2016
).
30.
Nagurney
,
A.
,
Yu
,
M.
, and
Besik
,
D.
, “
Supply chain network capacity competition with outsourcing: A variational equilibrium framework
,”
J. Global Optim.
69
(
1
),
231
254
(
2017
).
31.
Nagurney
,
A.
,
Yu
,
M.
,
Masoumi
,
A. H.
, and
Nagurney
,
L. S.
,
Networks against Time: Supply Chain Analytics for Perishable Products
(
Springer Science+Business Media
,
New York
,
2013
).
32.
Nagurney
,
A.
and
Zhang
,
D.
,
Projected Dynamical Systems and Variational Inequalities with Applications
(
Kluwer Academic Publishers
,
Norwell, MA
,
1996
).
33.
Nahmias
,
S.
, “
Perishable inventory theory: A review
,”
Oper. Res.
30
(
4
),
680
708
(
1982
).
34.
Nahmias
,
S.
,
Perishable Inventory Systems
(
Springer
,
New York
,
2011
).
35.
Nash
,
J. F.
, “
Equilibrium points in n-person games
,”
Proc. Natl. Acad. Sci. U. S. A.
36
,
48
49
(
1950
).
36.
Nash
,
J. F.
, “
Noncooperative games
,”
Ann. Math.
54
,
286
298
(
1951
).
37.
Rong
,
A.
,
Akkerman
,
R.
, and
Grunow
,
M.
, “
An optimization approach for managing fresh food quality throughout the supply chain
,”
Int. J. Prod. Econ.
131
(
1
),
421
429
(
2011
).
38.
Schouten
,
R. E.
,
Kooten
,
O. V.
,
Jalink
,
H.
,
Kappers
,
I. F.
,
Snel
,
J. F. H.
,
Jordi
,
W.
, and
Steele
,
R.
, “
Genetic and physiological factors affecting colour and firmness
,” in
Understanding and Measuring the Shelf-life of Food
, edited by
Steele
,
R
. (
CRC Press
,
Boca Raton, Florida
,
2004
), pp.
69
90
.
39.
Silver
,
E. A.
,
Pyke
,
D. F.
, and
Peterson
,
R.
,
Inventory Management and Production Planning and Scheduling
, 3rd ed. (
John Wiley & Sons
,
New York
,
1998
).
40.
Singh
,
R. P.
and
Anderson
,
B. A.
, “
The major types of food spoilage: an overview
,” in
Understanding and Measuring the Shelf-Life of Food
, edited by
Steele
,
R
. (
CRC Press
,
Boca Raton, Florida
,
2004
), pp.
3
23
.
41.
Sloof
,
M.
,
Tijskens
,
L. M. M.
, and
Wilkinson
,
E. C.
, “
Concepts for modelling the quality of perishable products
,”
Trends Food Sci. Technol.
7
(
5
),
165
171
(
1996
).
42.
Sumner
,
D. A.
and
Murdock
,
J.
, Agriculture and natural resources sample costs for processing peaches cling and freestone extra-early harvested varieties, University of California,
2017
.
43.
Taoukis
,
P. S.
and
Labuza
,
T. P
Applicability of time-temperature indicators as shelf life monitors of food products
,”
J. Food Sci.
54
(
4
),
783
787
(
1989
).
44.
Tijskens
,
L. M. M.
, “
Texture of golden delicious apples during storage
,”
Lebensm.-Wiss. Technol.
12
,
138
142
(
1979
).
45.
Tijskens
,
L. M. M.
and
Polderdijk
,
J. J.
, “
A generic model for keeping quality of vegetable produce during storage and distribution
,”
Agric. Syst.
51
(
4
),
431
452
(
1996
).
46.
Toralles
,
R. P.
,
Vendruscolo
,
J. L.
,
Vendruscolo
,
C. T.
,
del Pino
,
F. A. B.
, and
Antunes
,
P. L.
, “
Properties of polyphenoloxidase and peroxidase from Granada clingstone peaches
,”
Braz. J. Food Technol.
8
(
3
),
233
242
(
2005
).
47.
Toyasaki
,
F.
,
Daniele
,
P.
, and
Wakolbinger
,
T.
, “
A variational inequality formulation of equilibrium models for end-of-life products with nonlinear constraints
,”
Eur. J. Oper. Res.
236
,
340
350
(
2014
).
48.
Tuohy
,
L.
, see https://www.boston.com/news/business/2016/05/07/northeasts-peach-crop-decimated-mid-february-freeze for The Northeast's peach crop was decimated by the mid-February freeze,
2016
.
49.
United State Department of Agriculture, National Agricultural Statistics Service (USDA NASS), see http://usda.mannlib.cornell.edu/usda/current/NoncFruiNu/NoncFruiNu-07-06-2016.pdf for Noncitrus fruits and nuts 2015 preliminary summary, 2 016 (last accessed 13 July
2016
).
50.
Van der Vorst
,
J. G. A. J.
, “
Effective food supply chains: Generating, modelling and evaluating supply chain scenarios
,” Ph.D. thesis (
Wageningen University
,
The Netherlands
,
2000
).
51.
Van der Vorst
,
J. G. A. J.
,
Performance Measurement in Agri-Food Supply-Chain Networks: An Overview
, in Quantifying the Agri-Food Supply Chain, edited by
Ondersteijn
,
C. J. M.
,
Wijnands
,
J. H. M.
,
Huirne
,
R. B. M.
, and
van Kooten
,
O.
(
Springer
,
Dordrecht, The Netherlands
,
2006
), pp.
15
26
.
52.
Widodo
,
K. H.
,
Nagasawa
,
H.
,
Morizawa
,
K.
, and
Ota
,
M.
, “
A periodical flowering-harvesting model for delivering agricultural fresh products
,”
Eur. J. Oper. Res.
170
,
24
43
(
2006
).
53.
Yu
,
M.
and
Nagurney
,
A.
, “
Competitive food supply chain networks with application to fresh produce
,”
Eur. J. Oper. Res.
224
(
2
),
273
282
(
2013
).
54.
Zhang
,
G.
,
Habenicht
,
W.
, and
Spieß
,
W. E. L.
, “
Improving the structure of deep frozen and chilled food chain with tabu search procedure
,”
J. Food Eng.
60
,
67
79
(
2003
).
55.
Zhao
,
S.
,
Yue
,
C.
,
Luby
,
J.
,
Gallardo
,
K.
,
McCracken
,
V.
,
McFerson
,
J.
, and
Layne
,
D.
, “
U.S. peach producer preference and willingness to pay for fruit attributes
,”
HortScience
52
(
1
),
116
121
(
2017
).
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