A multi-criteria product mix problem considering multi-period and several uncertainty conditions

Takashi Hasuike, Hiroaki Ishii

Research output: Contribution to journalArticle

6 Citations (Scopus)

Abstract

This paper considers a multi-period and multi-criteria product mix problem minimizing the total cost, maximizing the total profit and minimizing the inventory levels under various random and ambiguous conditions. The proposal model is an extended model including some standard product mix problems and the model integrating manufacturing and distribution planning decisions in supply chains, and it represents more complex situations in real world. Since this problem is not well-defined problem due to including random and fuzzy variables, it is hard to solve it directly. Therefore, introducing chance constraints, main problem is transformed into a nonlinear programming problem. Furthermore, for solving it more efficiently, the solution method using the mean absolute deviation is constructed and so it is easier to obtain an optimal solution than previous analytical solution procedures.

Original languageEnglish
Pages (from-to)60-71
Number of pages12
JournalInternational Journal of Management Science and Engineering Management
Volume4
Issue number1
DOIs
Publication statusPublished - 2009
Externally publishedYes

Fingerprint

Nonlinear programming
Supply chains
Profitability
Planning
Uncertainty
Product mix
Multi-criteria
Costs
Analytical solution
Chance constraints
Deviation
Supply chain
Optimal solution
Manufacturing
Profit

Keywords

  • Fuzzy programming
  • Multi-criteria product mix problem
  • Multi-period model
  • Stochastic programming

ASJC Scopus subject areas

  • Strategy and Management
  • Management Science and Operations Research
  • Engineering (miscellaneous)
  • Mechanical Engineering
  • Information Systems and Management

Cite this

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