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An integrated supply chain model for new products with imprecise production and supply under scenario dependent fuzzy random demand

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Title An integrated supply chain model for new products with imprecise production and supply under scenario dependent fuzzy random demand
 
Creator NAGAR, L
DUTTA, P
JAIN, K
 
Subject supply chain management
new products
two-stage stochastic programming
fuzzy random demand
possibility measure
DISTRIBUTION-SYSTEMS
PROGRAMMING APPROACH
CUSTOMER DEMAND
INVENTORY MODEL
MANAGEMENT
UNCERTAINTY
ENVIRONMENT
PERIOD
OPTIMIZATION
COEFFICIENTS
 
Description In the present day business scenario, instant changes in market demand, different source of materials and manufacturing technologies force many companies to change their supply chain planning in order to tackle the real-world uncertainty. The purpose of this paper is to develop a multi-objective two-stage stochastic programming supply chain model that incorporates imprecise production rate and supplier capacity under scenario dependent fuzzy random demand associated with new product supply chains. The objectives are to maximise the supply chain profit, achieve desired service level and minimise financial risk. The proposed model allows simultaneous determination of optimum supply chain design, procurement and production quantities across the different plants, and trade-offs between inventory and transportation modes for both inbound and outbound logistics. Analogous to chance constraints, we have used the possibility measure to quantify the demand uncertainties and the model is solved using fuzzy linear programming approach. An illustration is presented to demonstrate the effectiveness of the proposed model. Sensitivity analysis is performed for maximisation of the supply chain profit with respect to different confidence level of service, risk and possibility measure. It is found that when one considers the service level and risk as robustness measure the variability in profit reduces.
 
Publisher TAYLOR & FRANCIS LTD
 
Date 2014-12-28T12:05:04Z
2014-12-28T12:05:04Z
2014
 
Type Article
 
Identifier INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE, 45(5)873-887
0020-7721
1464-5319
http://dx.doi.org/10.1080/00207721.2012.742594
http://dspace.library.iitb.ac.in/jspui/handle/100/16433
 
Language English