A possibilistic multiple objective pricing and lot-sizing model with multiple demand classes

Authors:
R. Ghasemy Yaghin;S. M. T. Fatemi Ghomi;S. A. Torabi
Affiliations:
Department of Industrial Engineering, Amirkabir University of Technology, 424 Hafez Avenue, 1591634311 Tehran, Iran;Department of Industrial Engineering, Amirkabir University of Technology, 424 Hafez Avenue, 1591634311 Tehran, Iran;Department of Industrial Engineering, College of Engineering, University of Tehran, Tehran, Iran
Venue:
Fuzzy Sets and Systems
Year:
2013

Citing 15
Cited 0

On manufacturing/marketing incentives

Management Science
Inventory and investment in setup operations under return on investment maximization

Computers and Operations Research
Possibilistic linear programming: a brief review of fuzzy mathematical programming and a comparison with stochastic programming in portfolio selection problem

Fuzzy Sets and Systems - Fuzzy mathematical programming
Inventory and investment in quality improvement under return on investment maximization

Computers and Operations Research
A Threshold Inventory Rationing Policy for Service-Differentiated Demand Classes

Management Science
Optimal Policies for Inventory Systems with Priority Demand Classes

Operations Research
An interactive possibilistic programming approach for multiple objective supply chain master planning

Fuzzy Sets and Systems
Multi-objective inventory planning using MOPSO and TOPSIS

Expert Systems with Applications: An International Journal
A review and classification of fuzzy mathematical programs

Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology
Fuzzy optimization for supply chain planning under supply, demand and process uncertainties

Fuzzy Sets and Systems
Fuzzy pricing and marketing planning model: A possibilistic geometric programming approach

Expert Systems with Applications: An International Journal
Automatically extracting T-S fuzzy models using cooperative random learning particle swarm optimization

Applied Soft Computing
Fuzzy hierarchical production planning (with a case study)

Fuzzy Sets and Systems
A particle swarm optimization for solving joint pricing and lot-sizing problem with fluctuating demand and unit purchasing cost

Computers & Mathematics with Applications
Using fuzzy numbers in linear programming

IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics

Quantified Score

Hi-index	0.20

Visualization

Abstract

We address an inventory-marketing system to determine the production lot size, marketing expenditure and selling prices where a firm faces demand from two or more market segments in which the firm can set different prices. Considering pricing, marketing and lot-sizing decisions simultaneously, the model maximizes the profit and return on inventory investment under multiple time varying demand classes. The model is formulated as a fuzzy non-linear multi-objective one where some parameters are ill-known and modeled by fuzzy numbers. A hybrid possibilistic-flexible programming approach is proposed to handle imprecise data and soft constraints concurrently. After transforming the original model into an equivalent multi-objective crisp model, it is then converted to a classical mono-objective one by a fuzzy goal programming method. An efficient solution procedure using particle swarm optimization (PSO) is also provided to solve the resulting non-linear problem.