Managing supply networks is a highly relevant task that strongly influences the competitiveness of firms from various industries. Designing supply networks is a strategic process that considerably affects the structure of the whole network. In contrast, supply networks for new products are configured without major adaptations of the existing structure, but the network has to be configured before the new product is actually launched in the marketplace. Due to dynamics and uncertainties, the resulting planning problem is highly complex. However, formal models and solution approaches that support supply network configuration decisions for new products are scant. The paper at hand aims at stimulating related model-based research. To formulate mathematical models and solution procedures, a benchmarking problem is introduced which is derived from a case study of a cosmetics manufacturer. Tasks, objectives, and constraints of the problem are described in great detail and numerical values and ranges of all problem parameters are given. In addition, several directions for future research are suggested.
References
1.
Amini
, M.
and Li
, H.
, “Supply chain configuration for diffusion of new products: An integrated optimization approach
,” Omega
39
, 313
–322
(2011
).2.
Amini
, M.
, Wakolbinger
, T.
, Racer
, M.
, and Nejad
, M. G.
, “Alternative supply chain production-sales policies for new product diffusion: An agent-based modeling and simulation approach
,” Eur. J. Oper. Res.
216
, 301
–311
(2012
).3.
Birge
, J. R.
and Louveaux
, F.
, Introduction to Stochastic Programming
, 2nd ed. (Springer
, Berlin, Heidelberg, New York
, 2010
).4.
Brandenburg
, M.
, “Low carbon supply chain configuration for a new product—A goal programming approach
,” Int. J. Prod. Res.
53
, 6588
–6610
(2015
).5.
Brandenburg
, M.
, “A hybrid approach to configureeco-efficient supply chains under consideration of performance and risk aspects
,” Omega
70
, 58
–76
(2017
).6.
Brandenburg
, M.
, Kuhn
, H.
, Schilling
, R.
, and Seuring
, S.
, “Performance- and value-oriented decision support for supply chain configuration—A discrete-event simulation model and a case study of an FMCG manufacturer
,” Logist. Res.
7
(1
), 1
–16
(2014
).7.
Brandenburg
, M.
and Schilling
, R.
, “Value impacts of dynamics and uncertainty in tactical supply chain design for new product introduction
,” in Wirtschaftsinformatik, Entscheidungstheorie und -praxis (Business Informatics, Decision Theory and Practice)
, edited by M.
Geiger
, J.
Geldermann
, and S.
Voß
(Shaker
, Aachen
, 2012
) pp. 23
–46
.8.
Brealey
, R. A.
, Myers
, S. C.
, and Allen
, F.
, Principles of Corporate Finance
, 9th ed. (McGraw-Hill Irwin
, Boston
, 2008
).9.
Butler
, R.
, Ammons
, J.
, and Sokol
, J.
, “Planning the supply chain network for new products: A case study
,” Eng. Manage. J.
18
, 35
–43
(2006
).10.
Chauhan
, S.
, Nagi
, R.
, and Proth
, J.-M.
, “Strategic capacity planning in supply chain design for a new market opportunity
,” Int. J. Prod. Res.
42
(11
), 2197
–2206
(2004
).11.
Cooper
, M. C.
, Lambert
, D. M.
, and Pagh
, J. D.
, “Supply chain management: More than a new name for logistics
,” Int. J. Logis. Manage.
8
, 1
–14
(1997
).12.
Faisal
, M.
, Banwet
, D.
, and Shankar
, R.
, “Information risks management in supply chains: An assessment and mitigation framework
,” Inf. Manage.
20
, 677
–699
(2007
).13.
Fattahi
, M.
, Mahootchi
, M.
, Govindan
, K.
, and Husseini
, S. M. M.
, “Dynamic supply chain network design with capacity planning and multi-period pricing
,” Transp. Res. E
81
, 169
–202
(2015
).14.
Gan
, T.-S.
and Grunow
, M.
, “Concurrent product–supply chain design: A conceptual framework & literature review
,” Procedia CIRP
7
, 91
–96
(2013
).15.
Graves
, S.
and Willems
, S.
, “Optimizing the supply chain configuration for new products
,” Manage. Sci.
51
, 1165
–1180
(2005
).16.
Hamacher
, K.
, “Dynamical regimes due to technological change in a microeconomical model of production
,” Chaos
22
, 033149
(2012
).17.
Hansen
, K. R. N.
and Grunow
, M.
, “Planning operations before market launch for balancing time-to-market and risks in pharmaceutical supply chains
,” Int. J. Prod. Econ.
161
, 129
–139
(2015
).18.
Heckmann
, I.
, Comes
, T.
, and Nickel
, S.
, “A critical review on supply chain risk—Definition, measure and modeling
,” Omega
52
, 119
–132
(2015
).19.
Higuchi
, T.
and Troutt
, M. D.
, “Dynamic simulation of the supply chain for a short life cycle product—Lessons from the Tamagotchi case
,” Comput. Oper. Res.
31
, 1097
–1114
(2004
).20.
Hulting
, E. J.
, Hart
, S.
, Robben
, H. S.
, and Griffin
, A.
, “Launch decisions and new product success: An empirical comparison of consumer and industrial products
,” J. Prod. Innov. Manage.
17
, 5
–23
(2000
).21.
Hwarng
, H. B.
and Xie
, N.
, “Understanding supply chain dynamics: A chaos perspective
,” Eur. J. Oper. Res.
184
, 1163
–1178
(2008
).22.
Hwarng
, H. B.
and Yuan
, X.
, “Interpreting supply chain dynamics: A quasi-chaos perspective
,” Eur. J. Oper. Res.
233
, 566
–579
(2014
).23.
Inman
, R. R.
and Blumenfeld
, D. E.
, “Product complexity and supply chain design
,” Int. J. Prod. Res.
52
, 1956
–1969
(2014
).24.
Inman
, R. R.
and Gonsalvez
, D. J.
, “A mass production product-to-plant allocation problem
,” Comput. Ind. Eng.
39
, 255
–271
(2001
).25.
Ivanov
, D.
, “An adaptive framework for aligning (re)planning decisions on supply chain strategy, design, tactics, and operations
,” Int. J. Prod. Res.
48
, 3999
–4017
(2010
).26.
Kumar
, R. S.
and Pugazhendhi
, S.
, “Information sharing in supply chains: An overview
,” Procedia Eng.
38
, 2147
–2154
(2012
).27.
Lambert
, D. M.
and Burduroglu
, R.
, “Measuring and selling the value of logistics
,” Int. J. Logis. Manage.
11
, 1
–17
(2000
).28.
Lee
, H. L.
, Padmanabhan
, V.
, and Whang
, S.
, “The bullwhip effect in supply chains
,” Sloan Manage. Rev.
38
, 93
–102
(1997a
).29.
Lee
, H. L.
, Padmanabhan
, V.
, and Whang
, S.
, “Information distortion in a supply chain: The bullwhip effect
,” Manage. Sci.
43
, 546
–558
(1997b
).30.
Lei
, Z.
, Li
, Y.
, and Xu
, Y.
, “Chaos synchronization of bullwhip effect in a supply chain
,” in International Conference on Management Science and Engineering
(2006
), pp. 557
–560
.31.
Li
, H.
and Womer
, K.
, “Optimizing the supply chain configuration for make-to-order manufacturing
,” Eur. J. Oper. Res.
221
, 118
–128
(2012
).32.
Linsmeier
, T. J.
and Pearson
, N. D.
, “Value at risk
,” Financ. Anal. J.
56
, 47
–67
(2000
).33.
Makridakis
, S.
and Winkler
, R. L.
, “Averages of forecasts: Some empirical results
,” Manage. Sci.
29
, 987
–996
(1983
).34.
McCutcheon
, J.
and Scott
, W. F.
, An Introduction to the Mathematics of Finance
(Butterworth-Heinemann
, 2004
).35.
Meixell
, M. J.
and Gargeya
, V. B.
, “Global supply chain design: A literature review and critique
,” Transp. Res. E
41
, 531
–550
(2005
).36.
Melo
, M.
, Nickel
, S.
, and Saldanha-da-Gama
, F.
, “Facility location and supply chain management—A review
,” Eur. J. Oper. Res.
196
, 401
–412
(2009
).37.
Mentzer
, J. T.
, DeWitt
, W.
, Keebler
, J. S.
, Min
, S.
, Nix
, N. W.
, Smith
, C. D.
, and Zacharia
, Z. G.
, “Defining supply chain management
,” J. Bus. Logis.
22
, 1
–25
(2001
).38.
Pan
, F.
and Nagi
, R.
, “Robust supply chain design under uncertain demand in agile manufacturing
,” Comput. Oper. Res.
37
, 668
–683
(2010
).39.
Pecora
, L. M.
and Carroll
, T. L.
, “Synchronization of chaotic systems
,” Chaos
25
, 097611
(2015
).40.
Pero
, M.
, Abdelkafi
, N.
, Sianesi
, A.
, and Blecker
, T.
, “A framework for the alignment of new product development and supply chains
,” Supply Chain Manage.
15
, 115
–128
(2010
).41.
Phillips
, R. L.
, Pricing and Revenue Optimization
(Stanford University Press
, 2005
).42.
Quinn
, J. B.
and Hilmer
, F. G.
, “Strategic outsourcing
,” Sloan Manage. Rev.
35
, 43
–55
(1994
).43.
Schilling
, R.
, Kuhn
, H.
, and Brandenburg
, M.
, “Simulation-based evaluation of tactical supply chain design scenarios for new product introduction
,” in Proceedings of the 17th International Annual EurOMA Conference
, edited by R.
Sousa
(European Operations Management Association
, 2010
).44.
Serdarasan
, S.
, “A review of supply chain complexity drivers
,” Comput. Ind. Eng.
66
, 533
–540
(2013
).45.
46.
Snyder
, L. V.
, “Facility location under uncertainty: A review
,” IIE Trans.
38
, 547
–564
(2006
).47.
Surana
, A.
, Kumara
, S.
, Greaves
, M.
, and Raghavan
, U. N.
, “Supply-chain networks: A complex adaptive systems perspective
,” Int. J. Prod. Res.
43
, 4235
–4265
(2005
).48.
Talluri
, K. T.
and Ryzin
, G. J. V.
, The Theory and Practice of Revenue Management
(Springer Science & Business Media
, 2006
).49.
Tang
, C. S.
, “Perspectives in supply chain risk management
,” Int. J. Prod. Econ.
103
, 451
–488
(2006
).50.
Tang
, O.
and Musa
, S.
, “Identifying risk issues and research advancements in supply chain risk management
,” Int. J. Prod. Econ.
133
, 25
–34
(2011
).51.
Waller
, M.
, Johnson
, M. E.
, and Davis
, T.
, “Vendor-managed inventory in the retail supply chain
,” J. Bus. Logis.
20
, 183
–203
(1999
).52.
Wang
, G.
, Huang
, S. H.
, and Dismukes
, J. P.
, “Product-driven supply chain selection using integrated multi-criteria decision-making methodology
,” Int. J. Prod. Econ.
91
, 1
–15
(2004
).53.
Wang
, X.
, Disney
, S. M.
, and Wang
, J.
, “Exploring the oscillatory dynamics of a forbidden returns inventory system
,” Int. J. Prod. Econ.
147
, 3
–12
(2014
).54.
Wiedmann
, T.
and Minx
, J.
, “A definition of ‘carbon footprint’
,” in Ecological Economics Research Trends
, edited by C. C.
Pertsova
(Nova Science Publishers
, Hauppauge, NY, USA
, 2008
), pp. 1
–11
.55.
Zhang
, J.
and Chen
, J.
, “Coordination of information sharing in a supply chain
,” Int. J. Prod. Econ.
143
, 178
–187
(2013
).© 2018 Author(s).
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