A review of multi-objective inventory control problem

2018 ◽  
Vol 5 (3) ◽  
pp. 213
Author(s):  
Peeyush Vats ◽  
Ajay Pal Singh Rathore ◽  
Gunjan Soni
Keyword(s):  
Control Problem ◽  
Inventory Control ◽  
Multi Objective ◽  
Inventory Control Problem

A review of multi-objective inventory control problem

2018 ◽  
Vol 5 (3) ◽  
pp. 213
Author(s):  
Peeyush Vats ◽  
Gunjan Soni ◽  
Ajay Pal Singh Rathore
Keyword(s):  
Control Problem ◽  
Inventory Control ◽  
Multi Objective ◽  
Inventory Control Problem

INTERACTIVE FUZZY PROGRAMMING MODEL IN MULTI-OBJECTIVE INVENTORY CONTROL PROBLEM USING VARIOUS OPERATORS

2017 ◽  
Vol 5 (4) ◽  
pp. 18-26
Author(s):  
Neha Kumari ◽  
Arun Prasad Burnwal
Keyword(s):  
Control Problem ◽  
Inventory Control ◽  
Decision Maker ◽  
Programming Model ◽  
Fuzzy Programming ◽  
Programming Approach ◽  
Multi Objective ◽  
Aspiration Levels ◽  
Interactive Fuzzy Programming ◽  
Inventory Control Problem

This paper deals with the interactive fuzzy programming approach for Multi Objective Inventory Control Problem (MOICP). In multi-objective optimization problem, objectives are often non-commensurable and cannot be combined into a single objective. Moreover, the objectives usually conflict with each other in that any improvement of one objective can be achieved only at the expense of another. In real world, all objectives of MOICP are not rigid. Some are rigid and some are fuzzy or all are imprecise. Fuzzy goals are defined by different membership functions through interaction with decision maker. By making the aspiration levels more flexible and by assigning different values to the normal weights to corresponding objectives functions, different solutions are determined to interact with the decision maker.

Constraint Joint-Replenishment Inventory Control Problem with Fuzzy Rough Demand

2009 ◽  
Vol 9 (4) ◽  
pp. 627-638 ◽  
Author(s):  
A. A. Taleiza ◽  
S. Nikpour ◽  
M. Zarei
Keyword(s):  
Control Problem ◽  
Inventory Control ◽  
Joint Replenishment ◽  
Inventory Control Problem
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