Multi-objective framework for process mean selection and price differentiation with leakage effects under price-dependent stochastic demand
Author | Raza, Syed Asif |
Author | Abdullakutty, Faseela Chakkalakkal |
Author | Rathinam, Sivakumar |
Author | Govindaluri, Srikrishna Madhumohan |
Available date | 2020-08-18T08:34:44Z |
Publication Date | 2019 |
Publication Name | Computers and Industrial Engineering |
Resource | Scopus |
ISSN | 3608352 |
Abstract | This paper investigates the process mean selection problem that simultaneously considers pricing, production and quality decisions in a multi-objective context when the manufacturing firm experiences a demand leakage in simultaneously observed price-dependent stochastic demand. The output of the manufacturing process is segregated into two grades sold in primary and secondary markets using a differentiation price as the market segmentation tool. Nonconforming items are reworked at an additional cost and only price-dependent stochastic demand with leakage effects is assumed. Three objectives, expected gross income from sales, expected profit and expected product uniformity are considered in the proposed multi-objective optimization model. Two solution algorithms are proposed, a goal programming approach combined with a simulation based optimization and a multi-objective genetic algorithm. A detailed numerical experimentation is employed to compare the two algorithms. - 2018 Elsevier Ltd |
Language | en |
Publisher | Elsevier Ltd |
Subject | Demand leakage Genetic algorithm Goal programming Multi-objective optimization Price differentiation Price-dependent stochastic demand Process mean Revenue management |
Type | Article |
Pagination | 698-708 |
Volume Number | 127 |
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