Multi-site production planning integrating procurement and distribution plans in multi-echelon supply chains: an interactive fuzzy goal programming approach

2009 ◽  
Vol 47 (19) ◽  
pp. 5475-5499 ◽  
Author(s):  
S.A. Torabi1 ◽  
E. Hassini
Keyword(s):  
Supply Chains ◽  
Production Planning ◽  
Goal Programming ◽  
Fuzzy Goal Programming ◽  
Programming Approach ◽  
Fuzzy Goal ◽  
Interactive Fuzzy Goal Programming

scholarly journals The fuzzy goal programming approach to production planning of intermediate gear spare parts: a case study

2020 ◽  
Vol 4 (2) ◽  
pp. 137-143
Author(s):  
Aulia Ishak ◽  
Poltak Nababan
Keyword(s):  
Production Planning ◽  
Goal Programming ◽  
Business Processes ◽  
Production Capacity ◽  
Optimal Solution ◽  
Spare Parts ◽  
Fuzzy Goal Programming ◽  
Planning System ◽  
Programming Approach ◽  
Fuzzy Goal

Production planning has an important role in the company's business processes. A company engaged in the manufacture of intermediate gear parts has a problem in optimizing its production system. The production planning system that occurs is still based on predictions from decision-makers. This study aims to optimize the production planning system to maximize the 15T intermediate gear spare parts' production capacity and the 30T intermediate gear spare parts. Optimization of production planning uses the fuzzy goal programming method to optimize objectives based on existing constraints such as working hours, profit tolerance values, and demand tolerance values. The results showed that the use of fuzzy goal programming was able to increase the production level by 2.765, with an increase in profit of 2.57%. Fuzzy goal programming implementation provides an optimal solution in increasing profits in accordance with company goals based on the constraints that occur.

scholarly journals Interactive Fuzzy Goal Programming approach in multi-response stratified sample surveys

2016 ◽  
Vol 26 (2) ◽  
pp. 241-258 ◽  
Author(s):  
Neha Gupta ◽  
Irfan Ali ◽  
Abdul Bari
Keyword(s):  
Linear Programming ◽  
Programming Problem ◽  
Goal Programming ◽  
Linear Programming Problem ◽  
Real Data ◽  
Fuzzy Goal Programming ◽  
Programming Approach ◽  
Compromise Allocation ◽  
Fuzzy Goal ◽  
Interactive Fuzzy Goal Programming

In this paper, we applied an Interactive Fuzzy Goal Programming (IFGP) approach with linear, exponential and hyperbolic membership functions, which focuses on maximizing the minimum membership values to determine the preferred compromise solution for the multi-response stratified surveys problem, formulated as a Multi- Objective Non Linear Programming Problem (MONLPP), and by linearizing the nonlinear objective functions at their individual optimum solution, the problem is approximated to an Integer Linear Programming Problem (ILPP). A numerical example based on real data is given, and comparison with some existing allocations viz. Cochran?s compromise allocation, Chatterjee?s compromise allocation and Khowaja?s compromise allocation is made to demonstrate the utility of the approach.

scholarly journals Study Of Fuzzy Goal Programming Model To Production Planning Problems Approach

2021 ◽  
Vol 13 (2) ◽  
pp. 75-81
Author(s):  
Desi Vinsensia ◽  
Yulia Utami
Keyword(s):  
Production Planning ◽  
Goal Programming ◽  
Programming Model ◽  
Raw Materials ◽  
Labor Cost ◽  
Fuzzy Goal Programming ◽  
Planning System ◽  
Programming Approach ◽  
Goal Programming Model ◽  
Fuzzy Goal

The production planning system can provide satisfaction to the manufacture with the desire target and also with the available raw materials. In achieving the target of goals also face a situation of uncertainty (fuzzy). The aims of this study is proposed the model of fuzzy goal programming approach to optimize production planning system. In this model obtaining maximizing profit and revenue with consider minimize costs of labor cost, raw materials cost, time machine production, and also inventory cost. The numerical example is illustrate that the fuzzy goal programming model can optimize optimize production and profit according desired of decision maker.

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