2010International Journal of Operational ResearchRequires access

A multi-product newsboy problem with fuzzy customer demand and a storage space constraint

Pankaj Dutta

Open publisher page 14 citations

Abstract

This article provides a fuzzy inventory model for multi-product newsboy problem subject to a storage space constraint. Common characteristics of inventory systems include uncertain demand. Several authors have examined constrained multi-item newsboy problem with stochastic demand. In this paper, a model for cases of fuzzy demands is constructed. The objective is to maximise the total resultant profit by considering fuzzy demands together with a storage space constraint. The optimisation is achieved using interval-valued expectation of a fuzzy number. Based on the bisection method, an efficient iterative algorithm is adopted to identify the optimal order quantities. The optimality conditions are justified through a numerical example.

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This article provides a fuzzy inventory model for multi-product newsboy problem subject to a storage space constraint. Common characteristics of inventory systems include uncertain demand. Several authors have examined constrained multi-item newsboy problem with stochastic demand. In this paper, a model for cases of fuzzy demands is constructed. The objective is to maximise the total resultant profit by considering fuzzy demands together with a storage space constraint. The optimisation is achieved using interval-valued expectation of a fuzzy number. Based on the bisection method, an efficient iterative algorithm is adopted to identify the optimal order quantities. The optimality conditions are justified through a numerical example.

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Available abstract

This article provides a fuzzy inventory model for multi-product newsboy problem subject to a storage space constraint. Common characteristics of inventory systems include uncertain demand. Several authors have examined constrained multi-item newsboy problem with stochastic demand. In this paper, a model for cases of fuzzy demands is constructed. The objective is to maximise the total resultant profit by considering fuzzy demands together with a storage space constraint. The optimisation is achieved using interval-valued expectation of a fuzzy number. Based on the bisection method, an efficient iterative algorithm is adopted to identify the optimal order quantities. The optimality conditions are justified through a numerical example.

Key concepts: Newsvendor model, Mathematical optimization, Economic order quantity, Fuzzy logic, Computer science, Constraint (computer-aided design), Profit (economics), Interval (graph theory)

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