Research output: Contribution to journal/Conference contribution in journal/Contribution to newspaper › Journal article › Research › peer-review
Integrated sales and operations planning with multiple products : Jointly optimizing the number and timing of promotions and production decisions. / Darmawan, Agus; Wong, Hartanto Wijaya; Thorstenson, Anders.
In: Applied Mathematical Modelling, Vol. 80, 04.2020, p. 792-814.Research output: Contribution to journal/Conference contribution in journal/Contribution to newspaper › Journal article › Research › peer-review
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TY - JOUR
T1 - Integrated sales and operations planning with multiple products
T2 - Jointly optimizing the number and timing of promotions and production decisions
AU - Darmawan, Agus
AU - Wong, Hartanto Wijaya
AU - Thorstenson, Anders
PY - 2020/4
Y1 - 2020/4
N2 - This paper presents a modelling framework for sales and operations planning (S&OP) that considers the integration of price promotion and production planning for multiple products. Such a modelling framework takes into account the potential competition and cannibalization between products, as well as the allocation of shared production resources. The demand model that we adopt combines purchase incidence, consumer choice and purchase quantity in a sequential framework to obtain the dynamics and heterogeneity of consumer response to promotions. Due to large problem sizes, we develop a heuristic approach for solving the resulting joint optimization problem. The results of our numerical study show interesting findings on the optimal number and timing of promotions that take into account the mutual dependence of marketing and production related factors.
AB - This paper presents a modelling framework for sales and operations planning (S&OP) that considers the integration of price promotion and production planning for multiple products. Such a modelling framework takes into account the potential competition and cannibalization between products, as well as the allocation of shared production resources. The demand model that we adopt combines purchase incidence, consumer choice and purchase quantity in a sequential framework to obtain the dynamics and heterogeneity of consumer response to promotions. Due to large problem sizes, we develop a heuristic approach for solving the resulting joint optimization problem. The results of our numerical study show interesting findings on the optimal number and timing of promotions that take into account the mutual dependence of marketing and production related factors.
KW - Cannibalization
KW - Demand model
KW - Forward buying
KW - Product substitution
KW - Promotion
U2 - 10.1016/j.apm.2019.12.001
DO - 10.1016/j.apm.2019.12.001
M3 - Journal article
VL - 80
SP - 792
EP - 814
JO - Applied Mathematical Modelling
JF - Applied Mathematical Modelling
SN - 0307-904X
ER -