The effect of supply and demand uncertainties on the optimal production and sales plans for new products

被引:22
作者
Negahban, A. [1 ]
Smith, J. S. [1 ]
机构
[1] Auburn Univ, Dept Ind & Syst Engn, Auburn, AL 36849 USA
关键词
innovation diffusion; myopic and build-up policies; production uncertainties; stochastic Bass model; simulation; INNOVATION DIFFUSION; BASS MODEL; SIMULATION; INVENTORY; OPTIMIZATION; PERSPECTIVES; CAPACITY; STRATEGY; GROWTH; CHAIN;
D O I
10.1080/00207543.2016.1157274
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
When introducing a new product, firms face a hierarchy of decisions at the strategic and operational levels including capacity sizing, time to market or starting sales, initial inventory required by the product's release time and production management in response to changes in the demand ( hereafter referred to as production-sales policies). The goal of this paper was to show the importance of considering both supply and demand uncertainties in the determination of the production-sales policy which has been overlooked in the existing literature. More specifically, we test two main hypotheses: ( 1) ignoring supply and demand uncertainties may lead to potentially incorrect decisions; and, ( 2) the decision could be different if risk is used as the primary performance measure instead of the commonly used expected ( mean) profit. We perform extensive experimentation with a Monte Carlo simulation model of the stochastic supply-restricted new product diffusion and use different statistical procedures, namely, the Welch's t-test and a nonparametric double-bootstrap method to compare the average and percentiles of the profit for different policies, respectively. The results indicate that the correctness of the two hypotheses depends on the diffusion speed, consumers' backlogging behaviour, production capacity, price and variable production and inventory costs. The findings also have important implications for managers regarding market entry time, parameter estimation, production strategy and the implementation of the proposed model.
引用
收藏
页码:3852 / 3869
页数:18
相关论文
共 47 条
[1]   Alternative supply chain production-sales policies for new product diffusion: An agent-based modeling and simulation approach [J].
Amini, Mehdi ;
Wakolbinger, Tina ;
Racer, Michael ;
Nejad, Mohammad G. .
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH, 2012, 216 (02) :301-311
[2]   Supply chain configuration for diffusion of new products: An integrated optimization approach [J].
Amini, Mehdi ;
Li, Haitao .
OMEGA-INTERNATIONAL JOURNAL OF MANAGEMENT SCIENCE, 2011, 39 (03) :313-322
[3]  
[Anonymous], 2003, Diffusion of Innovations
[4]   A hybrid computer simulation-artificial neural network algorithm for optimisation of dispatching rule selection in stochastic job shop scheduling problems [J].
Azadeh, A. ;
Negahban, A. ;
Moghaddam, M. .
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH, 2012, 50 (02) :551-566
[5]   An integrated fuzzy simulation-fuzzy data envelopment analysis algorithm for job-shop layout optimization: The case of injection process with ambiguous data [J].
Azadeh, A. ;
Moghaddam, M. ;
Asadzadeh, S. M. ;
Negahban, A. .
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH, 2011, 214 (03) :768-779
[6]  
Bass F. M., 2004, Management Science, V50, P1833, DOI 10.1287/mnsc.1040.0300
[7]   NEW PRODUCT GROWTH FOR MODEL CONSUMER DURABLES [J].
BASS, FM .
MANAGEMENT SCIENCE SERIES A-THEORY, 1969, 15 (05) :215-227
[8]  
Bilginer O., 2010, Managing Product Introductions and Transitions
[9]   Production and Sales Planning in Capacitated New Product Introductions [J].
Bilginer, Oezlem ;
Erhun, Feryal .
PRODUCTION AND OPERATIONS MANAGEMENT, 2015, 24 (01) :42-53
[10]   Planning and managing manufacturing capacity when demand is subject to diffusion effects [J].
Cantamessa, M ;
Valentini, C .
INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS, 2000, 66 (03) :227-240